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		<title>Sven Leyffer's Publications</title>
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		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [https://rdcu.be/eMiu4 A Unified Funnel Restoration SQP Algorithm], Mathematical Programming, Sept. 2025. [https://doi.org/10.1007/s10107-025-02284-3 doi.org/10.1007/s10107-025-02284-3]&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://doi.org/10.1137/24M1667543 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. SIAM/ASA Journal on Uncertainty Quantification, Vol. 13, Iss. 2 (2025) DOI:10.1137/24M1667543.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. ''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Nicole Aretz, Thomas Lynn, Karen Willcox, and Sven Leyffer. [https://arxiv.org/abs/2509.15961 Optimal Experimental Design of a Moving Sensor for Linear Bayesian Inverse Problems], 	arXiv:2509.15961 [cs.CE], 2025.&lt;br /&gt;
# Yu Lu, Thomas F. Lynn, Ming Du, Zichao Di, Sven Leyffer. [https://www.arxiv.org/abs/2509.01869 Optimizing Paths for Adaptive Fly-Scan Microscopy: An Extended Version], arXiv:2509.01869 [eess.IV], 2025.&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2506.11315 Sampling Imbalanced Data with Multi-objective Bilevel Optimization], arXiv:2506.11315 [cs.LG], 2025.&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2410.11171 A Bilevel Optimization Framework for Imbalanced Data Classification], arXiv:2410.11171 [cs.LG], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], [https://arxiv.org/abs/2406.13454 	arXiv:2406.13454 [math.OC]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
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		<title>Sven Leyffer's Publications</title>
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		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [https://rdcu.be/eMiu4 A Unified Funnel Restoration SQP Algorithm], [https://arxiv.org/abs/2409.09208 arXiv:2409.09208 [math.OC]], 2024. To appear in Mathematical Programming A.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://doi.org/10.1137/24M1667543 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. SIAM/ASA Journal on Uncertainty Quantification, Vol. 13, Iss. 2 (2025) DOI:10.1137/24M1667543.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. ''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Nicole Aretz, Thomas Lynn, Karen Willcox, and Sven Leyffer. [https://arxiv.org/abs/2509.15961 Optimal Experimental Design of a Moving Sensor for Linear Bayesian Inverse Problems], 	arXiv:2509.15961 [cs.CE], 2025.&lt;br /&gt;
# Yu Lu, Thomas F. Lynn, Ming Du, Zichao Di, Sven Leyffer. [https://www.arxiv.org/abs/2509.01869 Optimizing Paths for Adaptive Fly-Scan Microscopy: An Extended Version], arXiv:2509.01869 [eess.IV], 2025.&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2506.11315 Sampling Imbalanced Data with Multi-objective Bilevel Optimization], arXiv:2506.11315 [cs.LG], 2025.&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2410.11171 A Bilevel Optimization Framework for Imbalanced Data Classification], arXiv:2410.11171 [cs.LG], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], [https://arxiv.org/abs/2406.13454 	arXiv:2406.13454 [math.OC]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2352</id>
		<title>Sven Leyffer's Appointments</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2352"/>
		<updated>2025-10-17T16:37:26Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;====Current Appointments and Activities====&lt;br /&gt;
* Deputy Division Director and Senior Computational Mathematician in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* [https://www.anl.gov/argonne-distinguished-fellows Argonne Distinguished Fellow] (2023-)&lt;br /&gt;
* Senior Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2010- )&lt;br /&gt;
* Associate Editor of [http://www.springer.com/math/journal/10589 Computational Optimization and Applications] (2006- )&lt;br /&gt;
* [https://iciam.org/ ICIAM President Elect] (2024-2026)&lt;br /&gt;
* Member of [http://siam.org/books/series/fa.php Editorial Board of SIAM Series on Fundamentals of Algorithms] (2015- )&lt;br /&gt;
&lt;br /&gt;
====Previous Appointments and Activities====&lt;br /&gt;
* [https://www.siam.org/about-siam/leadership SIAM President] (2023-2024)&lt;br /&gt;
* Member of [http://www.siam.org/about/science/sci-pol.php SIAM Committee on Science Policy] (2015-2024); Chair, SIAM Climate Task Force (2021)&lt;br /&gt;
* Member SIAM Fellows Canvassing Committee (2021)&lt;br /&gt;
* Secretary of [http://www.iciam.org/council/council_tf.html ICIAM] (2015-2022)&lt;br /&gt;
* Editor-in-Chief, [https://link.springer.com/journal/10107 Mathematical Programming B] (2018-2021)&lt;br /&gt;
* Associate Editor of [http://www.ams.org/publications/journals/journalsframework/mcom Mathematics of Computation] (2017-2021)&lt;br /&gt;
* Chair, Selection committee, Lagrange Prize in Continuous Optimization (2020)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member of SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member, SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Nominating Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Working Group on Professional Development (2015-2017)&lt;br /&gt;
* Member, Organizing committee, SIAM Workshop on Combinatorial Scientific Computing (2014)&lt;br /&gt;
* Co-Editor of [http://www.springer.com/mathematics/journal/10107 Mathematical Programming A] (2011-2017)&lt;br /&gt;
* Editor-in-Chief [http://www.springer.com/math/journal/186 Mathematical Methods of Operation Research] (2008-2014)&lt;br /&gt;
* Editor [http://wiki.mcs.anl.gov/NEOS/index.php/SIAG/Optimization_View_and_News SIAG/OPT Views-and-News] (2008-2014)&lt;br /&gt;
* [http://www.siam.org/ SIAM] Vice President for Programs (2010-2013)&lt;br /&gt;
* Ex-Officio Member, SIAM Board and Council (2010-2013)&lt;br /&gt;
* Chair, SIAM/ICIAM Young Researcher Travel Awards (2011)&lt;br /&gt;
* Adjunct Professor in the [http://www.eecs.northwestern.edu/  Department of Electrical Engineering &amp;amp; Computer Science], Northwestern University (2006-2012)&lt;br /&gt;
* Area Editor Nonlinear Optimization [http://www.springer.com/math/journal/12532  Mathematical Programming Computation] (2008-2012)&lt;br /&gt;
* Associate editor of [http://www.springer.com/business/operations+research/journal/10287 Computational Management Science] (2003-2011 )&lt;br /&gt;
* Associate editor of [http://epubs.siam.org/sam-bin/dbq/toclist/SIOPT SIAM Journal on Optimization] (2002-2010)&lt;br /&gt;
* Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2004-2010)&lt;br /&gt;
* Cluster chair for nonlinear mixed-integer progamming of [http://ismp2009.eecs.northwestern.edu/ ISMP-2009]&lt;br /&gt;
* Co-chair [http://www.ima.umn.edu/2008-2009/SW11.17-21.08/ IMA Hot Topics Workshop: Mixed-Integer Nonlinear Optimization], November 17-21, 2008&lt;br /&gt;
* Co-chair [http://www.siam.org/meetings/op08/ SIAM Conference on Optimization], Boston, MA, May 10-13, 2008&lt;br /&gt;
* Program director of the [http://www.siam.org/activity/optimization/ SIAM Activity Group on Optimization] (2004-2007)&lt;br /&gt;
* Vice-chair for nonlinear programming of the [http://www.informs.org/Subdiv/Society/OPT/ INFORMS Optimization Society] (2004-2006)&lt;br /&gt;
* Cluster chair for nonlinear programming of [http://www.ismp2006.org/ ISMP-2006]&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2007 Institute on Computational Economics] (University of Chicago, 2007)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2006 Institute on Computational Economics] (University of Chicago, 2006)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2005 Institute on Computational Economics] (University of Chicago &amp;amp; Argonne National Laboratory, 2005)&lt;br /&gt;
* Co-chair [http://www-unix.mcs.anl.gov/~leyffer/goti/ Global Optimization Theory Institute] (Argonne National Laboratory, September 8-10, 2003)&lt;br /&gt;
* Research Fellow, [http://www.maths.dundee.ac.uk/ Department of Mathematics, University of Dundee] (1994-2002)&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/minlp/ MINLP World]&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/mpec/ MPEC World]&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2351</id>
		<title>Sven Leyffer's Appointments</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2351"/>
		<updated>2025-10-17T16:36:40Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;====Current Appointments and Activities====&lt;br /&gt;
* Deputy Division Director and Senior Computational Mathematician in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* [http://www.anl.gov Argonne] Distinguished Fellow (2023-)&lt;br /&gt;
* Senior Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2010- )&lt;br /&gt;
* Associate Editor of [http://www.springer.com/math/journal/10589 Computational Optimization and Applications] (2006- )&lt;br /&gt;
* [https://iciam.org/ ICIAM President Elect] (2024-2026)&lt;br /&gt;
* Member of [http://siam.org/books/series/fa.php Editorial Board of SIAM Series on Fundamentals of Algorithms] (2015- )&lt;br /&gt;
&lt;br /&gt;
====Previous Appointments and Activities====&lt;br /&gt;
* [https://www.siam.org/about-siam/leadership SIAM President] (2023-2024)&lt;br /&gt;
* Member of [http://www.siam.org/about/science/sci-pol.php SIAM Committee on Science Policy] (2015-2024); Chair, SIAM Climate Task Force (2021)&lt;br /&gt;
* Member SIAM Fellows Canvassing Committee (2021)&lt;br /&gt;
* Secretary of [http://www.iciam.org/council/council_tf.html ICIAM] (2015-2022)&lt;br /&gt;
* Editor-in-Chief, [https://link.springer.com/journal/10107 Mathematical Programming B] (2018-2021)&lt;br /&gt;
* Associate Editor of [http://www.ams.org/publications/journals/journalsframework/mcom Mathematics of Computation] (2017-2021)&lt;br /&gt;
* Chair, Selection committee, Lagrange Prize in Continuous Optimization (2020)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member of SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member, SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Nominating Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Working Group on Professional Development (2015-2017)&lt;br /&gt;
* Member, Organizing committee, SIAM Workshop on Combinatorial Scientific Computing (2014)&lt;br /&gt;
* Co-Editor of [http://www.springer.com/mathematics/journal/10107 Mathematical Programming A] (2011-2017)&lt;br /&gt;
* Editor-in-Chief [http://www.springer.com/math/journal/186 Mathematical Methods of Operation Research] (2008-2014)&lt;br /&gt;
* Editor [http://wiki.mcs.anl.gov/NEOS/index.php/SIAG/Optimization_View_and_News SIAG/OPT Views-and-News] (2008-2014)&lt;br /&gt;
* [http://www.siam.org/ SIAM] Vice President for Programs (2010-2013)&lt;br /&gt;
* Ex-Officio Member, SIAM Board and Council (2010-2013)&lt;br /&gt;
* Chair, SIAM/ICIAM Young Researcher Travel Awards (2011)&lt;br /&gt;
* Adjunct Professor in the [http://www.eecs.northwestern.edu/  Department of Electrical Engineering &amp;amp; Computer Science], Northwestern University (2006-2012)&lt;br /&gt;
* Area Editor Nonlinear Optimization [http://www.springer.com/math/journal/12532  Mathematical Programming Computation] (2008-2012)&lt;br /&gt;
* Associate editor of [http://www.springer.com/business/operations+research/journal/10287 Computational Management Science] (2003-2011 )&lt;br /&gt;
* Associate editor of [http://epubs.siam.org/sam-bin/dbq/toclist/SIOPT SIAM Journal on Optimization] (2002-2010)&lt;br /&gt;
* Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2004-2010)&lt;br /&gt;
* Cluster chair for nonlinear mixed-integer progamming of [http://ismp2009.eecs.northwestern.edu/ ISMP-2009]&lt;br /&gt;
* Co-chair [http://www.ima.umn.edu/2008-2009/SW11.17-21.08/ IMA Hot Topics Workshop: Mixed-Integer Nonlinear Optimization], November 17-21, 2008&lt;br /&gt;
* Co-chair [http://www.siam.org/meetings/op08/ SIAM Conference on Optimization], Boston, MA, May 10-13, 2008&lt;br /&gt;
* Program director of the [http://www.siam.org/activity/optimization/ SIAM Activity Group on Optimization] (2004-2007)&lt;br /&gt;
* Vice-chair for nonlinear programming of the [http://www.informs.org/Subdiv/Society/OPT/ INFORMS Optimization Society] (2004-2006)&lt;br /&gt;
* Cluster chair for nonlinear programming of [http://www.ismp2006.org/ ISMP-2006]&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2007 Institute on Computational Economics] (University of Chicago, 2007)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2006 Institute on Computational Economics] (University of Chicago, 2006)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2005 Institute on Computational Economics] (University of Chicago &amp;amp; Argonne National Laboratory, 2005)&lt;br /&gt;
* Co-chair [http://www-unix.mcs.anl.gov/~leyffer/goti/ Global Optimization Theory Institute] (Argonne National Laboratory, September 8-10, 2003)&lt;br /&gt;
* Research Fellow, [http://www.maths.dundee.ac.uk/ Department of Mathematics, University of Dundee] (1994-2002)&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/minlp/ MINLP World]&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/mpec/ MPEC World]&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2350</id>
		<title>Sven Leyffer's Appointments</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2350"/>
		<updated>2025-10-17T16:35:54Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;====Current Appointments and Activities====&lt;br /&gt;
* Deputy Division Director and Senior Computational Mathematician in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* [http://www.anl.gov Argonne] Distinguished Fellow (2023-)&lt;br /&gt;
* Senior Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2010- )&lt;br /&gt;
* Associate Editor of [http://www.springer.com/math/journal/10589 Computational Optimization and Applications] (2006- )&lt;br /&gt;
* [https://iciam.org/ ICIAM President Elect] (2024-2026)&lt;br /&gt;
* Member of [http://www.siam.org/about/science/sci-pol.php SIAM Committee on Science Policy] (2015- ); Chair, SIAM Climate Task Force (2021)&lt;br /&gt;
* Member of [http://siam.org/books/series/fa.php Editorial Board of SIAM Series on Fundamentals of Algorithms] (2015- )&lt;br /&gt;
&lt;br /&gt;
====Previous Appointments and Activities====&lt;br /&gt;
* [https://www.siam.org/about-siam/leadership SIAM President] (2023-2024)&lt;br /&gt;
* Member SIAM Fellows Canvassing Committee (2021)&lt;br /&gt;
* Secretary of [http://www.iciam.org/council/council_tf.html ICIAM] (2015-2022)&lt;br /&gt;
* Editor-in-Chief, [https://link.springer.com/journal/10107 Mathematical Programming B] (2018-2021)&lt;br /&gt;
* Associate Editor of [http://www.ams.org/publications/journals/journalsframework/mcom Mathematics of Computation] (2017-2021)&lt;br /&gt;
* Chair, Selection committee, Lagrange Prize in Continuous Optimization (2020)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member of SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member, SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Nominating Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Working Group on Professional Development (2015-2017)&lt;br /&gt;
* Member, Organizing committee, SIAM Workshop on Combinatorial Scientific Computing (2014)&lt;br /&gt;
* Co-Editor of [http://www.springer.com/mathematics/journal/10107 Mathematical Programming A] (2011-2017)&lt;br /&gt;
* Editor-in-Chief [http://www.springer.com/math/journal/186 Mathematical Methods of Operation Research] (2008-2014)&lt;br /&gt;
* Editor [http://wiki.mcs.anl.gov/NEOS/index.php/SIAG/Optimization_View_and_News SIAG/OPT Views-and-News] (2008-2014)&lt;br /&gt;
* [http://www.siam.org/ SIAM] Vice President for Programs (2010-2013)&lt;br /&gt;
* Ex-Officio Member, SIAM Board and Council (2010-2013)&lt;br /&gt;
* Chair, SIAM/ICIAM Young Researcher Travel Awards (2011)&lt;br /&gt;
* Adjunct Professor in the [http://www.eecs.northwestern.edu/  Department of Electrical Engineering &amp;amp; Computer Science], Northwestern University (2006-2012)&lt;br /&gt;
* Area Editor Nonlinear Optimization [http://www.springer.com/math/journal/12532  Mathematical Programming Computation] (2008-2012)&lt;br /&gt;
* Associate editor of [http://www.springer.com/business/operations+research/journal/10287 Computational Management Science] (2003-2011 )&lt;br /&gt;
* Associate editor of [http://epubs.siam.org/sam-bin/dbq/toclist/SIOPT SIAM Journal on Optimization] (2002-2010)&lt;br /&gt;
* Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2004-2010)&lt;br /&gt;
* Cluster chair for nonlinear mixed-integer progamming of [http://ismp2009.eecs.northwestern.edu/ ISMP-2009]&lt;br /&gt;
* Co-chair [http://www.ima.umn.edu/2008-2009/SW11.17-21.08/ IMA Hot Topics Workshop: Mixed-Integer Nonlinear Optimization], November 17-21, 2008&lt;br /&gt;
* Co-chair [http://www.siam.org/meetings/op08/ SIAM Conference on Optimization], Boston, MA, May 10-13, 2008&lt;br /&gt;
* Program director of the [http://www.siam.org/activity/optimization/ SIAM Activity Group on Optimization] (2004-2007)&lt;br /&gt;
* Vice-chair for nonlinear programming of the [http://www.informs.org/Subdiv/Society/OPT/ INFORMS Optimization Society] (2004-2006)&lt;br /&gt;
* Cluster chair for nonlinear programming of [http://www.ismp2006.org/ ISMP-2006]&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2007 Institute on Computational Economics] (University of Chicago, 2007)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2006 Institute on Computational Economics] (University of Chicago, 2006)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2005 Institute on Computational Economics] (University of Chicago &amp;amp; Argonne National Laboratory, 2005)&lt;br /&gt;
* Co-chair [http://www-unix.mcs.anl.gov/~leyffer/goti/ Global Optimization Theory Institute] (Argonne National Laboratory, September 8-10, 2003)&lt;br /&gt;
* Research Fellow, [http://www.maths.dundee.ac.uk/ Department of Mathematics, University of Dundee] (1994-2002)&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/minlp/ MINLP World]&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/mpec/ MPEC World]&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2349</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2349"/>
		<updated>2025-09-23T14:01:12Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], [https://arxiv.org/abs/2409.09208 arXiv:2409.09208 [math.OC]], 2024. To appear in Mathematical Programming A.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://doi.org/10.1137/24M1667543 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. SIAM/ASA Journal on Uncertainty Quantification, Vol. 13, Iss. 2 (2025) DOI:10.1137/24M1667543.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. ''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Nicole Aretz, Thomas Lynn, Karen Willcox, and Sven Leyffer. [https://arxiv.org/abs/2509.15961 Optimal Experimental Design of a Moving Sensor for Linear Bayesian Inverse Problems], 	arXiv:2509.15961 [cs.CE], 2025.&lt;br /&gt;
# Yu Lu, Thomas F. Lynn, Ming Du, Zichao Di, Sven Leyffer. [https://www.arxiv.org/abs/2509.01869 Optimizing Paths for Adaptive Fly-Scan Microscopy: An Extended Version], arXiv:2509.01869 [eess.IV], 2025.&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2506.11315 Sampling Imbalanced Data with Multi-objective Bilevel Optimization], arXiv:2506.11315 [cs.LG], 2025.&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2410.11171 A Bilevel Optimization Framework for Imbalanced Data Classification], arXiv:2410.11171 [cs.LG], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], [https://arxiv.org/abs/2406.13454 	arXiv:2406.13454 [math.OC]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2348</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2348"/>
		<updated>2025-09-22T20:30:03Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Preprints */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://doi.org/10.1137/24M1667543 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. SIAM/ASA Journal on Uncertainty Quantification, Vol. 13, Iss. 2 (2025) DOI:10.1137/24M1667543.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. ''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Nicole Aretz, Thomas Lynn, Karen Willcox, and Sven Leyffer. [https://arxiv.org/abs/2509.15961 Optimal Experimental Design of a Moving Sensor for Linear Bayesian Inverse Problems], 	arXiv:2509.15961 [cs.CE], 2025.&lt;br /&gt;
# Yu Lu, Thomas F. Lynn, Ming Du, Zichao Di, Sven Leyffer. [https://www.arxiv.org/abs/2509.01869 Optimizing Paths for Adaptive Fly-Scan Microscopy: An Extended Version], arXiv:2509.01869 [eess.IV], 2025.&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2506.11315 Sampling Imbalanced Data with Multi-objective Bilevel Optimization], arXiv:2506.11315 [cs.LG], 2025.&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2410.11171 A Bilevel Optimization Framework for Imbalanced Data Classification], arXiv:2410.11171 [cs.LG], 2024.&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], [https://arxiv.org/abs/2409.09208 arXiv:2409.09208 [math.OC]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], [https://arxiv.org/abs/2406.13454 	arXiv:2406.13454 [math.OC]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2347</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2347"/>
		<updated>2025-09-22T20:28:02Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Preprints */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://doi.org/10.1137/24M1667543 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. SIAM/ASA Journal on Uncertainty Quantification, Vol. 13, Iss. 2 (2025) DOI:10.1137/24M1667543.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. ''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Nicole Aretz, Thomas Lynn, Karen Willcox, and Sven Leyffer. [https://arxiv.org/abs/2509.15961 Optimal Experimental Design of a Moving Sensor for Linear Bayesian Inverse Problems], 	arXiv:2509.15961 [cs.CE], 2025.&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2506.11315 Sampling Imbalanced Data with Multi-objective Bilevel Optimization], arXiv:2506.11315 [cs.LG], 2025.&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2410.11171 A Bilevel Optimization Framework for Imbalanced Data Classification], arXiv:2410.11171 [cs.LG], 2024.&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], [https://arxiv.org/abs/2409.09208 arXiv:2409.09208 [math.OC]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], [https://arxiv.org/abs/2406.13454 	arXiv:2406.13454 [math.OC]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2346</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2346"/>
		<updated>2025-06-21T22:04:37Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Preprints */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://doi.org/10.1137/24M1667543 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. SIAM/ASA Journal on Uncertainty Quantification, Vol. 13, Iss. 2 (2025) DOI:10.1137/24M1667543.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. ''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2506.11315 Sampling Imbalanced Data with Multi-objective Bilevel Optimization], arXiv:2506.11315 [cs.LG, 2025.&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2410.11171 A Bilevel Optimization Framework for Imbalanced Data Classification], arXiv:2410.11171 [cs.LG], 2024.&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], [https://arxiv.org/abs/2409.09208 arXiv:2409.09208 [math.OC]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], [https://arxiv.org/abs/2406.13454 	arXiv:2406.13454 [math.OC]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2345</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2345"/>
		<updated>2025-05-28T21:54:58Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://doi.org/10.1137/24M1667543 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. SIAM/ASA Journal on Uncertainty Quantification, Vol. 13, Iss. 2 (2025) DOI:10.1137/24M1667543.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. ''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2410.11171 A Bilevel Optimization Framework for Imbalanced Data Classification], arXiv:2410.11171 [cs.LG], 2024.&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], [https://arxiv.org/abs/2409.09208 arXiv:2409.09208 [math.OC]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], [https://arxiv.org/abs/2406.13454 	arXiv:2406.13454 [math.OC]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2344</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2344"/>
		<updated>2025-05-12T15:14:07Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Preprints */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. ''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Karen Medlin, Sven Leyffer, Krishnan Raghavan. [https://arxiv.org/abs/2410.11171 A Bilevel Optimization Framework for Imbalanced Data Classification], arXiv:2410.11171 [cs.LG], 2024.&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], [https://arxiv.org/abs/2409.09208 arXiv:2409.09208 [math.OC]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], [https://arxiv.org/abs/2406.13454 	arXiv:2406.13454 [math.OC]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2343</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2343"/>
		<updated>2025-05-12T15:10:46Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Preprints */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. ''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], [https://arxiv.org/abs/2409.09208 arXiv:2409.09208 [math.OC]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], [https://arxiv.org/abs/2406.13454 	arXiv:2406.13454 [math.OC]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2342</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2342"/>
		<updated>2025-05-12T15:09:26Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Preprints */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. ''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], [https://arxiv.org/abs/2409.09208 arXiv:2409.09208 [math.OC]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2341</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2341"/>
		<updated>2025-02-19T14:09:13Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. ''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2340</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2340"/>
		<updated>2025-02-19T14:08:54Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://doi.org/10.1007/s10589-024-00644-x A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials]. &lt;br /&gt;
''Comp. Optim Appl'' (2025). [https://doi.org/10.1007/s10589-024-00644-x DOI:10.1007/s10589-024-00644-x]&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2339</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2339"/>
		<updated>2025-01-22T03:41:53Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing, 6(1):1-38 (2025). [https://doi.org/10.1145/3670416 DOI:10.1145/3670416]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2338</id>
		<title>Sven Leyffer's Appointments</title>
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		<updated>2025-01-22T03:37:39Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
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&lt;div&gt;====Current Appointments and Activities====&lt;br /&gt;
* Deputy Division Director in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* Senior Computational Mathematician in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* Senior Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2010- )&lt;br /&gt;
* Associate Editor of [http://www.springer.com/math/journal/10589 Computational Optimization and Applications] (2006- )&lt;br /&gt;
* Member of [http://www.siam.org/about/science/sci-pol.php SIAM Committee on Science Policy] (2015- ); Chair, SIAM Climate Task Force (2021)&lt;br /&gt;
* Member of [http://siam.org/books/series/fa.php Editorial Board of SIAM Series on Fundamentals of Algorithms] (2015- )&lt;br /&gt;
&lt;br /&gt;
====Previous Appointments and Activities====&lt;br /&gt;
* [https://www.siam.org/about-siam/leadership SIAM President] (2023-2024)&lt;br /&gt;
* Member SIAM Fellows Canvassing Committee (2021)&lt;br /&gt;
* Secretary of [http://www.iciam.org/council/council_tf.html ICIAM] (2015-2022)&lt;br /&gt;
* Editor-in-Chief, [https://link.springer.com/journal/10107 Mathematical Programming B] (2018-2021)&lt;br /&gt;
* Associate Editor of [http://www.ams.org/publications/journals/journalsframework/mcom Mathematics of Computation] (2017-2021)&lt;br /&gt;
* Chair, Selection committee, Lagrange Prize in Continuous Optimization (2020)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member of SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member, SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Nominating Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Working Group on Professional Development (2015-2017)&lt;br /&gt;
* Member, Organizing committee, SIAM Workshop on Combinatorial Scientific Computing (2014)&lt;br /&gt;
* Co-Editor of [http://www.springer.com/mathematics/journal/10107 Mathematical Programming A] (2011-2017)&lt;br /&gt;
* Editor-in-Chief [http://www.springer.com/math/journal/186 Mathematical Methods of Operation Research] (2008-2014)&lt;br /&gt;
* Editor [http://wiki.mcs.anl.gov/NEOS/index.php/SIAG/Optimization_View_and_News SIAG/OPT Views-and-News] (2008-2014)&lt;br /&gt;
* [http://www.siam.org/ SIAM] Vice President for Programs (2010-2013)&lt;br /&gt;
* Ex-Officio Member, SIAM Board and Council (2010-2013)&lt;br /&gt;
* Chair, SIAM/ICIAM Young Researcher Travel Awards (2011)&lt;br /&gt;
* Adjunct Professor in the [http://www.eecs.northwestern.edu/  Department of Electrical Engineering &amp;amp; Computer Science], Northwestern University (2006-2012)&lt;br /&gt;
* Area Editor Nonlinear Optimization [http://www.springer.com/math/journal/12532  Mathematical Programming Computation] (2008-2012)&lt;br /&gt;
* Associate editor of [http://www.springer.com/business/operations+research/journal/10287 Computational Management Science] (2003-2011 )&lt;br /&gt;
* Associate editor of [http://epubs.siam.org/sam-bin/dbq/toclist/SIOPT SIAM Journal on Optimization] (2002-2010)&lt;br /&gt;
* Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2004-2010)&lt;br /&gt;
* Cluster chair for nonlinear mixed-integer progamming of [http://ismp2009.eecs.northwestern.edu/ ISMP-2009]&lt;br /&gt;
* Co-chair [http://www.ima.umn.edu/2008-2009/SW11.17-21.08/ IMA Hot Topics Workshop: Mixed-Integer Nonlinear Optimization], November 17-21, 2008&lt;br /&gt;
* Co-chair [http://www.siam.org/meetings/op08/ SIAM Conference on Optimization], Boston, MA, May 10-13, 2008&lt;br /&gt;
* Program director of the [http://www.siam.org/activity/optimization/ SIAM Activity Group on Optimization] (2004-2007)&lt;br /&gt;
* Vice-chair for nonlinear programming of the [http://www.informs.org/Subdiv/Society/OPT/ INFORMS Optimization Society] (2004-2006)&lt;br /&gt;
* Cluster chair for nonlinear programming of [http://www.ismp2006.org/ ISMP-2006]&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2007 Institute on Computational Economics] (University of Chicago, 2007)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2006 Institute on Computational Economics] (University of Chicago, 2006)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2005 Institute on Computational Economics] (University of Chicago &amp;amp; Argonne National Laboratory, 2005)&lt;br /&gt;
* Co-chair [http://www-unix.mcs.anl.gov/~leyffer/goti/ Global Optimization Theory Institute] (Argonne National Laboratory, September 8-10, 2003)&lt;br /&gt;
* Research Fellow, [http://www.maths.dundee.ac.uk/ Department of Mathematics, University of Dundee] (1994-2002)&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/minlp/ MINLP World]&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/mpec/ MPEC World]&lt;/div&gt;</summary>
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		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2336</id>
		<title>Sven Leyffer's Publications</title>
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		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Sven Leyffer and Paul Manns. [[Media:McCormick.pdf|McCormick envelopes in mixed-integer PDE-constrained optimization]]. Mathematical Programming B. 2025. [https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing (2023).&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2335</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2335"/>
		<updated>2025-01-22T03:34:11Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Sven Leyffer and Paul Manns. McCormick envelopes in mixed-integer PDE-constrained optimization. Mathematical Programming B. 2025. [ https://doi.org/10.1007/s10107-024-02181-1 DOI:10.1007/s10107-024-02181-1]&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing (2023).&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
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		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing (2023).&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2333</id>
		<title>Sven Leyffer's Publications</title>
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		<updated>2024-11-14T21:45:13Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing (2023).&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [	https://doi.org/10.22331/q-2023-01-04-892 Binary Control Pulse Optimization for Quantum Systems]. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2332</id>
		<title>Sven Leyffer's Publications</title>
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		<updated>2024-11-14T21:42:29Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581].&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://dl.acm.org/doi/pdf/10.1145/3670416 Switching Time Optimization for Binary Quantum Optimal Control]. ACM Transactions on Quantum Computing (2023).&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2331</id>
		<title>Sven Leyffer's Publications</title>
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		<updated>2024-11-14T21:40:02Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Preprints */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581]&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2330</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2330"/>
		<updated>2024-11-14T21:39:30Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. [https://pubsonline.informs.org/doi/full/10.1287/ijoc.2024.0560 Binary Quantum Control Optimization with Uncertain Hamiltonians]. INFORMS J. Computing, online 2024. [https://doi.org/10.1287/ijoc.2024.0560 DOI:10.1287/ijoc.2024.0560].&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581]&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://arxiv.org/abs/2308.03132 Switching Time Optimization for Binary Quantum Optimal Control]. arXiv:2308.03132 (quant-ph), 2023.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Software&amp;diff=2329</id>
		<title>Sven Leyffer's Software</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Software&amp;diff=2329"/>
		<updated>2024-10-04T15:00:33Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== UNO - A Unified Nonlinear Optimizer ===&lt;br /&gt;
A solver for nonlinearly constrained optimization problems developed by Charlie Vanaret: &lt;br /&gt;
[https://git.cels.anl.gov/cwvanaret/Uno git repo with newest release]&lt;br /&gt;
&lt;br /&gt;
=== MINOTAUR ===&lt;br /&gt;
&lt;br /&gt;
MINOTAUR is a toolkit for solving mixed-integer nonlinear optimization problems. It is available under an open-source license, see the [http://wiki.mcs.anl.gov/minotaur MINOTAUR wiki].&lt;br /&gt;
&lt;br /&gt;
=== Dundee Solvers for MINLP/NLP/QP ===&lt;br /&gt;
&lt;br /&gt;
====bqpd====&lt;br /&gt;
bqpd is a package of Fortran 77 subroutines for finding local solutions to&lt;br /&gt;
quadratic programming (QP) problems. A recursive form of a null-space&lt;br /&gt;
active set method is used, using Wolfe's method to resolve degeneracy.&lt;br /&gt;
The package provides a number of features which make for flexible use, and&lt;br /&gt;
reliable and efficient solution. These include&lt;br /&gt;
* indefinite Hessian allowed&amp;lt;&lt;br /&gt;
* two-sided simple bounds and general constraints&lt;br /&gt;
* sparse or dense format for specifying the QP problem&lt;br /&gt;
* sparse or dense matrix algebra modules&lt;br /&gt;
* cold/warm/hot starts&lt;br /&gt;
* automatic scaling option&lt;br /&gt;
* steepest-edge pivoting&lt;br /&gt;
* efficient as a linear programming solver&lt;br /&gt;
* effective in both single and double precision&lt;br /&gt;
* new features for numerical stability.&lt;br /&gt;
&lt;br /&gt;
The package includes a set of files containing bqpd and auxiliary subroutines,&lt;br /&gt;
suitable for both dense and sparse operation. A sample driver file and&lt;br /&gt;
illustrative example are also provided, along with a user information manual&lt;br /&gt;
(in Latex).&lt;br /&gt;
&lt;br /&gt;
==== filterSQP ====&lt;br /&gt;
&lt;br /&gt;
filterSQP is a package of Fortran 77 subroutines for finding local solutions&lt;br /&gt;
to nonlinear programming (NLP) problems. It must be used in conjunction with&lt;br /&gt;
the bqpd package. The method implemented is a sequential quadratic programming&lt;br /&gt;
(SQP) trust region algorithm, using a recently developed &amp;quot;filter&amp;quot; technique to&lt;br /&gt;
promote global convergence. This method has performed very well in&lt;br /&gt;
comparative numerical testing, and has the advantage that the user does not&lt;br /&gt;
need to supply any estimates of penalty parameters.&lt;br /&gt;
&lt;br /&gt;
The NLP problem is specified by means of user subroutines, and it is necessary&lt;br /&gt;
to provide information about both first and second derivatives of the&lt;br /&gt;
nonlinear functions in the problem. However it is possible to drive filterSQP&lt;br /&gt;
using the CUTE system or the AMPL modelling language for specifying an NLP&lt;br /&gt;
problem. Use of AMPL enables derivatives to be computed automatically.&lt;br /&gt;
&lt;br /&gt;
The package includes a set of files containing the filterSQP subroutine and&lt;br /&gt;
related auxiliary subroutines. An example set of user supplied subroutines&lt;br /&gt;
is provided along with an example of a driver program and an example input&lt;br /&gt;
file required to drive the example. There is also a detailed user manual&lt;br /&gt;
(in Latex). Interfaces to CUTE or AMPL are available upon request.&amp;lt;/font&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==== MINLPBB ====&lt;br /&gt;
&lt;br /&gt;
MINLPBB is a package of Fortran 77 subroutines for finding solutions to&lt;br /&gt;
Mixed Integer NLP problems. These are NLP problems with the additional&lt;br /&gt;
constraint that some variables are required to take only certain discrete&lt;br /&gt;
values (e.g. integer values in some range). The package implements the&lt;br /&gt;
Branch and Bound method in a nonlinear setting. The package must be used in&lt;br /&gt;
conjunction with both filterSQP and bqpd.&lt;br /&gt;
&lt;br /&gt;
Problems are specified in the same way as for filterSQP (i.e. either via&lt;br /&gt;
subroutines or CUTE or AMPL). The additional integer structure is specified&lt;br /&gt;
using a vector to identify the indices of integer variables. The user can&lt;br /&gt;
influence the choice of branching variable by providing priorities for the&lt;br /&gt;
integer variables.&lt;br /&gt;
&lt;br /&gt;
The package comprises files containing the main branch and bound routine and&lt;br /&gt;
related auxiliary subroutines. An example set of user supplied subroutines&lt;br /&gt;
is provided along with an example of a driver program and an example input&lt;br /&gt;
file required to drive the example. There is also a detailed user guide&lt;br /&gt;
(in Latex). Interfaces to CUTE or AMPL are available upon request.&lt;br /&gt;
&lt;br /&gt;
Further development of this package to include Special Ordered Sets should&lt;br /&gt;
soon be available.&lt;br /&gt;
&lt;br /&gt;
==== MIQPBB ====&lt;br /&gt;
&lt;br /&gt;
MIQPBB is a package of Fortran 77 subroutines for finding solutions to&lt;br /&gt;
Mixed Integer QP problems. The package implements the Branch and Bound&lt;br /&gt;
method with some special features such as the computation of improved &lt;br /&gt;
lower bounds and hot starts for the QP subproblems. MIQPBB allows the&lt;br /&gt;
user to influence the choice of branching variable in two ways: Firstly&lt;br /&gt;
by employing user supplied priorities in the branching decision and secondly &lt;br /&gt;
by supplying a choice of branching routines. The package is also efficient &lt;br /&gt;
as an MILP solver. A detailed used guide (in Latex) is provided.&lt;br /&gt;
The package must be used in conjunction with bqpd. &lt;br /&gt;
&lt;br /&gt;
If you wish to take out a licence (or to discuss the matter further) please&lt;br /&gt;
contact us at [mailto:fletcher@maths.dundee.ac.uk fletcher at maths.dundee.ac.uk] or [mailto:leyffer@mcs.anl.gov leyffer at mcs.anl.gov]&lt;br /&gt;
&lt;br /&gt;
You might also wish to sample some of our software. This can be done&lt;br /&gt;
using the [http://www.neos-server.org/neos/ NEOS server]. &lt;br /&gt;
&lt;br /&gt;
All solvers are also available in sparse and dense versions in the&lt;br /&gt;
[http://tomopt.com/tomlab/products/minlp/ TOMLAB / MINLP Matlab &lt;br /&gt;
interface] running on Windows, Linux, Unix and Mac operating systems.&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=File:UNO.pdf&amp;diff=2328</id>
		<title>File:UNO.pdf</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=File:UNO.pdf&amp;diff=2328"/>
		<updated>2024-09-30T15:58:31Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2327</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2327"/>
		<updated>2024-09-30T15:57:56Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Preprints */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581]&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://arxiv.org/abs/2308.03132 Switching Time Optimization for Binary Quantum Optimal Control]. arXiv:2308.03132 (quant-ph), 2023.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581]&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://arxiv.org/abs/2308.03132 Switching Time Optimization for Binary Quantum Optimal Control]. arXiv:2308.03132 (quant-ph), 2023.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2324</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2324"/>
		<updated>2024-09-13T15:55:10Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Preprints */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581]&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf A Unified Funnel Restoration SQP Algorithm]], 2024.&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://arxiv.org/abs/2308.03132 Switching Time Optimization for Binary Quantum Optimal Control]. arXiv:2308.03132 (quant-ph), 2023.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581]&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Robert Baraldi, Sven Leyffer,and Stefan Wild. [[Media:FilterADMM.pdf|Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems]], 2024.&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://arxiv.org/abs/2308.03132 Switching Time Optimization for Binary Quantum Optimal Control]. arXiv:2308.03132 (quant-ph), 2023.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Lectures&amp;diff=2321</id>
		<title>Sven Leyffer's Lectures</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Lectures&amp;diff=2321"/>
		<updated>2024-07-30T15:34:01Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Mixed-Integer Nonlinear Optimization ===&lt;br /&gt;
GIAN course taught in January 2024 at IIT Bombay&lt;br /&gt;
* [https://www.youtube.com/playlist?list=PLREyhbtkeBNpTZtDBfcwLigIsAAEGQ1iR YouTube Channel with Lectures]&lt;br /&gt;
* [https://drive.google.com/drive/folders/1pN8Kml9HRxHrUvBJ2G9Xe2nsY3nY9oEi?usp=drive_link Lectures Slides and Tutorials]&lt;br /&gt;
&lt;br /&gt;
=== [https://conference2.aau.at/event/79/ MINOA Summer School]: Mixed-Integer PDE-Constrained Optimization ===&lt;br /&gt;
* Day 1: [https://drive.google.com/file/d/12QcBU7VDjp5YDJrxMRYUodDZ75jW1Pps/view?usp=sharing Slides] &amp;amp; [[Media:Ex-1.pdf|Exercises]], see also [https://drive.google.com/file/d/1YGwRPatXzHXLUi7YpI1OoP-uKJc8dror/view?usp=sharing MotherProb.mod] (AMPL model for Exercise 2) and [https://neos-server.org/neos/solvers/index.html NEOS Server]&lt;br /&gt;
* Day 2: [https://drive.google.com/file/d/12H3PQOIvUh1AZ02GxKkw5B0wOPI0V0QL/view?usp=sharing Slides] &amp;amp; [[Media:Ex-2.pdf|Exercises]]&lt;br /&gt;
&lt;br /&gt;
=== Optimization of Dynamical Systems ===&lt;br /&gt;
[http://www.math.uni-bremen.de/zetem/cms/detail.php?template=ods18_parse_title&amp;amp;person=ods18 Summer School, September 3rd - 7th 2018, University of Bremen, Germany]&lt;br /&gt;
&lt;br /&gt;
[[Course Material for ODS18: Software, Slides, Exercises, Solutions]]&lt;br /&gt;
&lt;br /&gt;
=== Optimization: Applications, Algorithms, and Computation ===&lt;br /&gt;
[http://www.gian.iitkgp.ac.in//files/brochures/BR1462514455Optimization_information_brochure_final_6_5_2016.pdf Brochure of GIAN Course taught at Jabalpur Engineering College]&lt;br /&gt;
&lt;br /&gt;
[[Course Material: Lecture Notes, Slides, Software]]&lt;br /&gt;
&lt;br /&gt;
=== Mixed-Integer Nonlinear Optimization: Applications, Algorithms, and Computation ===&lt;br /&gt;
[http://sites.uclouvain.be/socn/Courses/Courses2012-3 2013 Graduate School in Systems,Optimization, Control and Networks]&lt;br /&gt;
* [[Media:socn-1.pdf|Introduction and Applications]]&lt;br /&gt;
* [[Media:socn-2.pdf|Methods for Convex MINLPs]]&lt;br /&gt;
* [[Media:socn-3.pdf|Advanced Methods for Convex MINLPs]]&lt;br /&gt;
* [[Media:socn-4.pdf|Nonconvex MINLPs]]&lt;br /&gt;
* [[Media:socn-5.pdf|Methods for Nonconvex MINLPs]]&lt;br /&gt;
* [[Media:socn-6.pdf|Heuristics Methods and Beyond MINLPs]]&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2320</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2320"/>
		<updated>2024-06-25T13:13:26Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. [https://www.sciencedirect.com/science/article/pii/S0378779624005315 Heuristic algorithms for placing geomagnetically induced current blocking devices]. Electric Power Systems Research. Volume 234, September 2024, 110645. [https://doi.org/10.1016/j.epsr.2024.110645 DOI:10.1016/j.epsr.2024.110645].&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581]&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://arxiv.org/abs/2308.03132 Switching Time Optimization for Binary Quantum Optimal Control]. arXiv:2308.03132 (quant-ph), 2023.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2318</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2318"/>
		<updated>2024-04-29T13:31:43Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581]&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://arxiv.org/abs/2308.03132 Switching Time Optimization for Binary Quantum Optimal Control]. arXiv:2308.03132 (quant-ph), 2023.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2316</id>
		<title>Sven Leyffer's Publications</title>
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		<updated>2024-04-29T13:31:18Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581]&lt;br /&gt;
Hussain M. J. Almohri&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://arxiv.org/abs/2308.03132 Switching Time Optimization for Binary Quantum Optimal Control]. arXiv:2308.03132 (quant-ph), 2023.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2314</id>
		<title>Sven Leyffer's Publications</title>
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		<updated>2024-04-29T13:30:58Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
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&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
#  &lt;br /&gt;
Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, [https://dl.acm.org/doi/10.1145/3656581 Remark on Algorithm 1012: Computing projections with large data sets]. ACM Trans. Math. Softw. April 2024. [https://doi.org/10.1145/3656581 DOI:10.1145/3656581]&lt;br /&gt;
Hussain M. J. Almohri&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://arxiv.org/abs/2308.03132 Switching Time Optimization for Binary Quantum Optimal Control]. arXiv:2308.03132 (quant-ph), 2023.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Bio&amp;diff=2312</id>
		<title>Sven Leyffer's Bio</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Bio&amp;diff=2312"/>
		<updated>2023-11-17T17:00:15Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Image:SvenDesk.jpg|thumb|188px|Sven Leyffer]]&lt;br /&gt;
Born in Hamburg, Germany, Sven obtained his Ph.D. in 1994 from the [http://www.dundee.ac.uk/ University of Dundee], working on mixed-integer nonlinear programming problems with [https://en.wikipedia.org/wiki/Roger_Fletcher_(mathematician) Roger Fletcher]. He has held postdoc positions at Dundee, Northwestern, and Argonne, where he now works as a Senior Computational Mathematician in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division]. Sven is a Senior Fellow of the [http://www.ci.anl.gov/ Computation Institute] at the University of Chicago. &lt;br /&gt;
&lt;br /&gt;
Sven was a co-editor of [http://www.springer.com/mathematics/journal/10107 Mathematical Programming] and served as an editor-in-chief of [http://www.springer.com/math/journal/186 Mathematical Methods of Operations Research]. He serves on the editorial board of [http://www.springer.com/math/journal/10589 Computational Optimization and Applications] and [http://www.ams.org/publications/journals/journalsframework/mcom Mathematics of Computation]. In addition, Sven has served as the [http://optimization.society.informs.org/ INFORMS Optimization] Vice-Chair for nonlinear programming and as the Program Director of the [http://www.siam.org/activity/optimization/ SIAM activity group on optimization]. Sven was [http://www.siam.org SIAM] Vice President for Programs from 2010-2013. Currently, Sven served as the [http://iciam.org/ Secretary of ICIAM] from 2015 to 2022. He is the current [http://www.siam.org SIAM] President. For other appointments, see [[Sven Leyffer's Appointments|this list of other appointments]].&lt;br /&gt;
&lt;br /&gt;
Together with Roger Fletcher and Philippe L. Toint, Sven was awarded the [http://www.siam.org/prizes/sponsored/lagrange.php Lagrange prize in optimization] in 2006. In 2009, Sven became a [http://fellows.siam.org/index.php SIAM Fellow]. In 2013, Sven won the [http://clas.ufl.edu/users/hager/coap/Best/2012.pdf 2012 COAP Best Paper Prize] with Chungen Chen and Roger Fletcher for their paper on nonmonotone filter methods. In 2016, Sven was awarded the [https://www.informs.org/Community/Optimization-Society/Optimization-Society-Prizes/Farkas-Prize Farkas Prize for Mid-career Researchers by INFORMS].&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;br /&gt;
&lt;br /&gt;
Sven's dad, Werner Leyffer, runs the smallest [http://www.seemannsmission-brunsbuettel.de/heimathafen/seemannsclub-glueckstadt/ Seafarer's Mission in Glueckstadt, Germany], featured in these articles of the Norddeutsche Rundschau from [http://www.shz.de/lokales/norddeutsche-rundschau/seemannsmission-erweitert-aktionsradius-id248809.html 2012], [http://www.shz.de/lokales/norddeutsche-rundschau/zum-fest-gibt-es-spiele-id5271426.html 2013], [http://www.shz.de/lokales/norddeutsche-rundschau/besuch-fuer-gestrandete-seemaenner-id8544436.html 2014], and [http://www.shz.de/lokales/norddeutsche-rundschau/adventskalender-der-seemannsmission-erhaeltlich-id11195376.html 2015].&lt;br /&gt;
Some old personal stuff about [https://home.comcast.net/~s.leyffer/ Gwen &amp;amp; Sven Leyffer], and here is a Scottish Country dance that Sven devised, called [https://www.scottish-country-dancing-dictionary.com/dance-crib/teddy-bears-picnic-2.html The Teddybears' Picnic] (which we first performed in Teddybear costumes).&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2310</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2310"/>
		<updated>2023-09-30T15:02:46Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023. [https://doi.org/10.1287/ijoc.2022.0050 DOI:10.1287/ijoc.2022.0050]&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://arxiv.org/abs/2308.03132 Switching Time Optimization for Binary Quantum Optimal Control]. arXiv:2308.03132 (quant-ph), 2023.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2308</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2308"/>
		<updated>2023-08-08T15:39:05Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Preprints */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023.&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
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==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. [https://arxiv.org/abs/2308.03132 Switching Time Optimization for Binary Quantum Optimal Control]. arXiv:2308.03132 (quant-ph), 2023.&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2306</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2306"/>
		<updated>2023-07-19T20:28:03Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Published Papers */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. [https://doi.org/10.1287/ijoc.2022.0050 Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics]. ''INFORMS J. Computing'', 2023.&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2304</id>
		<title>Sven Leyffer's Publications</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Publications&amp;diff=2304"/>
		<updated>2023-05-24T19:55:07Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Preprints */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==== '''Published Papers''' ====&lt;br /&gt;
# A. Attia, S. Leyffer, and T. Munson. [[Media: M140436.pdf|Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments]]. SIAM J. Scientific Computing, 44(2), 2022. [https://epubs.siam.org/doi/10.1137/21M1404363 DOI:10.1137/21M1404363].&lt;br /&gt;
# Anna Thuenen, Sven Leyffer, and Sebastian Sager. [[Media: SemigroupPDE-OCAM.pdf|State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory]]. ''Optimal Control Applications and Methods'', 2022. DOI:10.1002/oca.2861.&lt;br /&gt;
# Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. [https://arxiv.org/abs/2103.05751 BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators.] ''SciPost Phys.'' Core 5, 001, [https://scipost.org/10.21468/SciPostPhysCore.5.1.001 DOI:10.21468/SciPostPhysCore.5.1.001], 2022.&lt;br /&gt;
# Ryan H. Vogt, Sven Leyffer, and Todd Munson. [https://epubs.siam.org/doi/10.1137/20M1315993 A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]. ''SIAM J. Scientific Compututing'', 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 [https://epubs.siam.org/doi/suppl/10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking]&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Sebastian Sager. [https://link.springer.com/article/10.1007%2Fs10107-021-01733-z Binary Optimal Control by Trust-Region Steepest Descent]. ''Mathematical Programming'' (online first). DOI:10.1007/s10107-021-01733-z. January 2022.&lt;br /&gt;
# Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. [[Media:MIPDECO-SolnFrameWork.pdf|A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems]]. [https://link.springer.com/article/10.1007/s10107-021-01626-1 Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1], 2021.&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [https://iopscience.iop.org/article/10.1088/2632-2153/ac1d35/meta Joint ptycho-tomography with deep generative priors]. ''Machine Learning: Science and Technology'',  2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.&lt;br /&gt;
# Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. [https://doi.org/10.1080/00268976.2020.1861351 Wave function analysis with a maximum flow algorithm]. ''Molecular Physics'', 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.        &lt;br /&gt;
# Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. [https://link.springer.com/content/pdf/10.1007/s10589-021-00268-5.pdf MINLP formulations for continuous piecewise linear function fitting]. ''Computational Optimization and Applications'' (2021). [https://doi.org/10.1007/s10589-021-00268-5 DOI:10.1007/s10589-021-00268-5].&lt;br /&gt;
# Sven Leyffer, Paul Manns, and Malte Winckler. [[Media:cloakingSUR.pdf|Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem]]. [https://link.springer.com/article/10.1007/s10589-020-00262-3 Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3]. &lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. ''Mathematical Programming Computation'', November 2020. [https://link.springer.com/article/10.1007/s12532-020-00196-1 DOI:10.1007/s12532-020-00196-1]&lt;br /&gt;
# Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. [https://arxiv.org/abs/1912.02272 Multivariate Rational Approximation]. ''Computer Physics Communications'', October 2020. [https://doi.org/10.1016/j.cpc.2020.107663 DOI:10.1016/j.cpc.2020.107663]&lt;br /&gt;
# Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. [[Media:SrcInvert.pdf|Inversion of Convection-Diffusion Equation with Discrete Sources]]. ''Optimization and Engineering'', online first, July 2020. [https://doi.org/10.1007/s11081-020-09536-5 doi.org/10.1007/s11081-020-09536-5]&lt;br /&gt;
# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis&amp;quot; 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]&lt;br /&gt;
# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilMMOR.pdf|An Augmented Lagrangian Filter Method]]. ''Mathematical Methods of Operations Research'', 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.&lt;br /&gt;
# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. ''INFOR: Information Systems and Operational Research'', 58(2):342-373, 2020.  [https://doi.org/10.1080/03155986.2020.1730676 DOI:10.1080/03155986.2020.1730676],&lt;br /&gt;
# Youngdae Kim, Sven Leyffer, and Todd Munson. [[Media:MPEC-survey.pdf|MPEC methods for bilevel optimization problems]]. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in &amp;quot;Bilevel optimization: advances and next challenges,&amp;quot; S. Dempe and A. Zemkoho, editors, 2020.&lt;br /&gt;
# Martinek, Janna, Wagner, Michael, Zolan, Alexander, Boyd, Matthew, Newman, Alexandra, Morton, David, Leyffer, Sven, Larson, Jeffrey, and USDOE Office of Energy Efficiency and Renewable Energy. [https://www.osti.gov//servlets/purl/1512292 Design, Analysis, and Operations Toolkit (DAO-Tk). Computer software]. USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S) (2019). [https://www.osti.gov/biblio/1512292 DOI:10.11578/dc.20190513.3].&lt;br /&gt;
#Viktor Nikitin, Selin Aslan, Yudong Gao, Tekin Bicer, Sven Leyffer, Rajmund Mokso, and Doga Gursoy. Photon-limited ptychography of 3D objects via Bayesian reconstruction. ''OSA Continuum'' 2(10):2948-2967 (2019). [https://doi.org/10.1364/OSAC.2.002948 DOI:10.1364/OSAC.2.002948]&lt;br /&gt;
# Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. [[Media:AlignmentReconstruction.pdf|Optimization-based simultaneous alignment and reconstruction in multi-element tomography]]. ''Optics Letters'' 44(17):4331-4334 (2019) [https://doi.org/10.1364/OL.44.004331 DOI:10.1364/OL.44.004331]&lt;br /&gt;
# Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. [https://arxiv.org/abs/1902.02027 Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-based Approach]. ''SIAM Journal on Scientific Computing'' Vol. 41, Issue 3, pp.B497--B521, 2019.&lt;br /&gt;
# Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. [[Media:JointTomoADMM.pdf|Joint ptycho-tomography reconstruction through alternating direction method of multipliers]]. ''Optics Express'' Vol. 26, Issue 6, pp.9128-9143 (2019) [https://doi.org/10.1364/OE.27.009128 DOI:10.1364/OE.27.009128].&lt;br /&gt;
# Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. [[Media:JointReconstruction.pdf|Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography]]. ''Optics Express'' Vol. 25, Issue 12, pp.13107-13124 (2017). [https://doi.org/10.1364/OE.25.013107 DOI:10.1364/OE.25.013107].&lt;br /&gt;
# Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. [[Media:GeneratorDispatch.pdf|Optimal Design and Dispatch of a System of Diesel Generators, Photovoltaics and Batteries for Remote Locations]]. ''Optimization and Engineering'' DOI 10.1007/s11081-017-9355-4, May, 2017.&lt;br /&gt;
# Fu Lin, Sven Leyffer, and Todd Munson. [[Media:TwoLevelMIP.pdf|A Two-Level Approach to Large Mixed-Integer Programs with Application to Cogeneration in Energy-Efficient Buildings]]. ''Computational Optimization and Applications'' 65(1):1-46, [http://www.springer.com/-/1/AVQXQJKdAgfPWjhrD6pU DOI: 10.1007/s10589-016-9842-0 (online first)].&lt;br /&gt;
# Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. [http://epubs.siam.org/doi/10.1137/15M1021404 Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities]. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Ilya Safro. [[Media:NetworkResponse.pdf|Optimal Response to Epidemics and Cyber Attacks in Networks]]. Networks, 66(2), June 2015. [http://onlinelibrary.wiley.com/doi/10.1002/net.21619/abstract DOI: 10.1002/net.21619].&lt;br /&gt;
# Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. [http://www.sciencedirect.com/science/article/pii/S1877050915010133 Visualizing and Improving the Robustness of Phase Retrieval Algorithms]. ''Procedia Computer Science'', 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.&lt;br /&gt;
# Noam Goldberg and Sven Leyffer. [[Media:ConicProjGrad.pdf|Active Set Method for Second-Order Conic-Constrained Quadratic Programming]]. ''SIAM J. Optimization'', 25(3), 2015. [http://epubs.siam.org/doi/abs/10.1137/140958025 DOI:10.1137/140958025]&lt;br /&gt;
# Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. [http://link.springer.com/article/10.1007/s10589-014-9647-y Adaptively Refined Dynamic Program for Linear Spline Regression]. ''Computational Optimization and Applications'', 58(3):523-541, 2014.&lt;br /&gt;
# Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. [[Media:FaradayDisc.pdf|Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy]]. ''Faraday Discussions'', DOI: 10.1039/C4FD00023D, 2014, 171, 357.&lt;br /&gt;
# Marc Snir, Robert W. Wisniewski, Jacob A. Abraham, Sarita V Adve, Saurabh Bagchi, Pavan Balaji, Jim Belak, Pradip Bose, Franck Cappello, Bill Carlson, Andrew A. Chien, Paul Coteus, Nathan A. Debardeleben, Pedro Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd Munson, Rob Schreiber, Jon Stearley, and Eric Van Hensbergen. [http://www.mcs.anl.gov/papers/P5022-0913.pdf Addressing Failures in Exascale Computing]. ''International Journal of High Performance Computing Applications'' 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. [[Media:CellIdent1.pdf|Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets]]. ''Journal of Synchrotron Radiation'', 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416&lt;br /&gt;
# Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. [http://dl.acm.org/citation.cfm?id=2532568 On branching rules for convex mixed-integer nonlinear optimization]. ''Journal of Experimental Algorithmics (JEA)'', 18, 2013.&lt;br /&gt;
# Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. [[Media:BuildinCtrl.pdf|A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems]]. ''Optimization and Engineering'', [http://dx.doi.org/10.1007/s11081-013-9226-6 DOI 10.1007/s11081-013-9226-6], August 2013.&lt;br /&gt;
# Sven Leyffer and Ilya Safro. [http://www.cs.clemson.edu/~isafro/papers/fastresp.pdf Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks], ''Journal of Complex Networks'', [http://comnet.oxfordjournals.org/content/early/2013/07/16/comnet.cnt009.full DOI: 10.1093/comnet/cnt009], July 2013.&lt;br /&gt;
# Christian Kirches and Sven Leyffer. [[Media:TACO.pdf|TACO-A Toolkit for AMPL Control Optimization]]. ''Mathematical Programming Computation'', 1-39, [http://dx.doi.org/10.1007/s12532-013-0054-7 DOI 10.1007/s12532-013-0054-7], April 2013.&lt;br /&gt;
# Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. [[Media:MINLP-Survey.pdf|Mixed-Integer Nonlinear Optimization]]. ''Acta Numerica'' 22:1-131, 2013. [http://journals.cambridge.org/action/displayAbstract?fromPage=online&amp;amp;aid=8877390&amp;amp;fulltextType=RA&amp;amp;fileId=S0962492913000032 DOI: http://dx.doi.org/10.1017/S0962492913000032]&lt;br /&gt;
# Christian Kirches, Hans Georg Bock, and Sven Leyffer, [http://seth.asc.tuwien.ac.at/proc12/full_paper/Contribution514.pdf Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL], ''Mathematical Modelling'', 7(1):1124-1129, 2012.&lt;br /&gt;
# Chungen Chen, Roger Fletcher, and Sven Leyffer. [[Media:nfilter.pdf|A Nonmonotone Filter Method for Nonlinear Optimization]]. ''Computational Optimization and Applications'', 52(3):583-607, 2012. [http://www.springerlink.com/content/b4241g046pr1l028/ DOI: 10.1007/s10589-011-9430-2].&lt;br /&gt;
# Andres Guerra, Alexandra M. Newman, and Sven Leyffer. [http://epubs.siam.org/doi/abs/10.1137/090778286 Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints]. ''SIAM J. Optimization'', 21(3):833-863, 2011.&lt;br /&gt;
# Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. [[Media:CyberSecurity-1.pdf|Optimal Security Response to Attacks on Open Science Grids]]. ''Computer Networks'', 55(1):61-73, 2011. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6VRG-50PVG7S-1&amp;amp;_user=1722207&amp;amp;_coverDate=01%2F07%2F2011&amp;amp;_rdoc=1&amp;amp;_fmt=high&amp;amp;_orig=gateway&amp;amp;_origin=gateway&amp;amp;_sort=d&amp;amp;_docanchor=&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=503d0d157dd6067a226cf1c081beb59b&amp;amp;searchtype=a DOI:10.1016/j.comnet.2010.07.012].&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://joc.journal.informs.org/content/vol22/issue4/index.dtl FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs]. ''INFORMS Journal on Computing'', 22: 555 - 567, 2010. DOI:10.1287/ijoc.1090.0373.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0630 Foundations of Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.&lt;br /&gt;
# Sven Leyffer and Ashutosh Mahajan. [http://dx.doi.org/10.1002/9780470400531.eorms0570 Software For Nonlinearly Constrained Optimization]. In ''Wiley Encyclopedia of Operations Research and Management Science'', editors Cochran, James J. and Cox, Louis A. and Keskinocak, Pinar and Kharoufeh, Jeffrey P. and Smith, J. Cole. John Wiley &amp;amp; Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.&lt;br /&gt;
# Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. [http://www.mcs.anl.gov/uploads/cels/papers/P1544A.pdf Optimal control model of technology transition]. ''International Journal of Global Energy Issues'', 33(3-4):154-175, 2010. [http://inderscience.metapress.com/link.asp?id=78m2767117620157 DOI: 10.1504/IJGEI.2010.036954]&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Oil Spill Response Planning with MINLP], ''SIAG/OPT Views-and-News'', 21(2):1-8, 2010.&lt;br /&gt;
# Fengqi You and Sven Leyffer, [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model], [[Media:OilSpillMINLP.pdf|Preprint ANL/MCS-P1794-1010]]. ''AIChe Journal'', 57(12):3555–3564, 2011. [http://onlinelibrary.wiley.com/doi/10.1002/aic.12536/abstract DOI: 10.1002/aic.12536].&lt;br /&gt;
# Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. [http://pubs.acs.org/doi/abs/10.1021/jp1067632 Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures], ''J. Phys. Chem. C'', 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.&lt;br /&gt;
# Haw-ren Fang, Sven Leyffer, and Todd S. Munson. [http://www.tandfonline.com/doi/full/10.1080/10556788.2010.512956 A Pivoting Algorithm for Linear Programs with Complementarity Constraints]. ''Optimization Methods and Software'', 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.&lt;br /&gt;
# Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. [http://www.springerlink.com/content/c39678r5615h4500/?p=8297bc6b174c4008b9b7fdf80a98a3b7&amp;amp;pi=0 Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems]. ''Optimization and Engineering'', 11(2):185-212, 2010.&lt;br /&gt;
# S. Leyffer and T. S. Munson. [http://www.informaworld.com/smpp/content~db=all~content=a917044697 Solving multi-leader-common-follower games]. ''Optimization Methods and Software'', 25(4):601-623, 2010. &lt;br /&gt;
# Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. [[Media:NanoPhotonicsOpt.pdf|Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing]]. ''Journal of Physical Chemistry C'', 113 (24):10493–10499, 2009.&lt;br /&gt;
# S. Leyffer. [[Media: IJOC-21-02-p0257-0267-2au-copy.pdf|A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems]]. ''INFORMS Journal on Computing'', 21(2):257-267, 2009.&lt;br /&gt;
# M.P. Friedlander and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/qppal-01.pdf Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs]. ''SIAM Journal on Scientific Computing'', 30(4):1706-1729, 2008.&lt;br /&gt;
# R. Fletcher, S. Leyffer and Ph. L. Toint. [http://www.mcs.anl.gov/~leyffer/papers/FilterANL.pdf A Brief History of Filter Methods]. ''SIAG/Optimization Views-and-News'', 18(1):2-12, 2007.&lt;br /&gt;
# B. Addis and S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/globaltr.pdf A trust-region algorithm for global optimization]. ''Computational Optimization and Applications'', 35(3):287-304, 2006.&lt;br /&gt;
# S. Leyffer, G. Lopez-Calva and J. Nocedal. [http://www.mcs.anl.gov/~leyffer/papers/mpec-ipm.pdf Interior methods for mathematical programs with complementarity constraints]. ''SIAM Journal on Optimization'', 17(1): 52–77, 2006.&lt;br /&gt;
# Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. [http://www.mcs.anl.gov/~leyffer/papers/power-05.pdf Leader-follower equilibria for electric power and NOx allowances markets]. ''Computational Management Science'', 3(4):307-330, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-NCP-04.pdf Complementarity constraints as nonlinear equations: Theory and numerical experience]. In S. Dempe and V. Kalashnikov, editors, Optimization and Multivalued Mappings, pages 169–208. Springer, 2006.&lt;br /&gt;
# R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. [http://www.mcs.anl.gov/~leyffer/papers/MPEC-SQP-15.pdf Local convergence of SQP methods for mathematical programs with equilibrium constraints]. ''SIAM Journal Optimization'', 17(1):259–286, 2006.&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/papers/PIPA-Ex-03.pdf The penalty interior point method fails to converge]. ''Optimization Methods and Software'', 20(4-5):559-568, 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/sam-bin/dbq/article/42263  A multidimensional filter algorithm for nonlinear equations and nonlinear least squares]. ''SIAM J. Optimization'', 15:17–38, 2004.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=3l93gqeqljdvvk4ftw5w&amp;amp;referrer=parent&amp;amp;backto=issue,3,8;journal,6,19;linkingpublicationresults,1:300273,1 Solving mathematical program with complementarity constraints as nonlinear programs]. ''Optimization Methods and Software'', 19(1):15–40, 2004.&lt;br /&gt;
# J. S. Pang and S. Leyffer. [http://taylorandfrancis.metapress.com/app/home/contribution.asp?wasp=f0169mltlp7vpjk2up67&amp;amp;referrer=parent&amp;amp;backto=issue,11,12;journal,3,19;linkingpublicationresults,1:300273,1  On the global minimization of the value-at-risk]. ''Optimization Methods and Software, ''19(5):611–631, 2004.&lt;br /&gt;
# N. I. M. Gould and S. Leyffer. [http://epubs.cclrc.ac.uk/bitstream/299/raltr-2002031.pdf An introduction to algorithms for nonlinear optimization]. In J. F. Blowey, A. W. Craig, and T. Shardlow, ''Frontiers in Numerical Analysis,'' pages 109-197. Springer Verlag, Berlin, 2003.&lt;br /&gt;
# A. Altay-Salih, M. C. Pinar, and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/40011 Constrained nonlinear programming for volatility estimation with GARCH models]. ''SIAM Review'', 45(3):485 – 503, 2003.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Filter-type algorithms for solving systems of algebraic equations and inequalities. In G. di Pillo and A. Murli, editors, ''High Performance Algorithms and Software for Nonlinear Optimization'', pages 259–278. Kluwer, 2003.&lt;br /&gt;
# S. Leyffer. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Mathematical programs with complementarity constraints]. ''SIAG/OPTViews-and-News'', 14(1):15–18, 2003.&lt;br /&gt;
# R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. [http://epubs.siam.org/sam-bin/dbq/article/35725  Global convergence of trust-region SQP-filter algorithms for general nonlinear programming]. ''SIAM J. Optimization'', 13(3):635–659, 2002.&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph. L. Toint. [http://epubs.siam.org/doi/abs/10.1137/S105262340038081X  On the global convergence of a filter-SQP algorithm]. ''SIAM J. Optimization'', 13(1):44–59, 2002.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=h8gwwvrgmq74lcjtxxww&amp;amp;referrer=parent&amp;amp;backto=issue,3,10;journal,31,53;linkingpublicationresults,1:103081,1  Nonlinear programming without a penalty function]. ''Mathematical Programming,'' 91:239–270, 2002.&lt;br /&gt;
# J.-P. Goux and S. Leyffer. [http://www.springerlink.com/content/q48v401732u54q01/?p=d2a017acb750429b8e793f9cee40692a&amp;amp;pi=5 Solving large MINLPs on computational grids]. ''Optimization and Engineering,'' 3:327–346, 2002.&lt;br /&gt;
# S. Leyffer. [[Media:GOA.pdf|Generalized outer approximation]]. In C. A. Floudas and P. M. Pardalos, editors, ''Encyclopedia of Optimization'', volume 2, pages 247–254. Kluwer, 2001.&lt;br /&gt;
# S. Leyffer. [http://springerlink.metapress.com/app/home/contribution.asp?wasp=f0169mltlp0vnlvkybrl&amp;amp;referrer=parent&amp;amp;backto=issue,6,7;journal,32,62;linkingpublicationresults,1:100249,1  Integrating SQP and branch-and-bound for mixed integer nonlinear programming]. ''Computational Optimization &amp;amp; Applications,'' 18:295–309, 2001.&lt;br /&gt;
# H. Skrifvars, S. Leyffer and T. Westerlund. [http://www.sciencedirect.com/science?_ob=ArticleURL&amp;amp;_udi=B6TFT-3W6M8SB-8&amp;amp;_user=1722207&amp;amp;_handle=V-WA-A-W-AC-MsSAYWW-UUA-U-AAAADDAEZU-AAUEBCWDZU-EVUCYUAVC-AC-U&amp;amp;_fmt=summary&amp;amp;_coverDate=11%2F01%2F1998&amp;amp;_rdoc=8&amp;amp;_orig=browse&amp;amp;_srch=%23toc%235235%231998%23999779987%2385071!&amp;amp;_cdi=5235&amp;amp;view=c&amp;amp;_acct=C000053990&amp;amp;_version=1&amp;amp;_urlVersion=0&amp;amp;_userid=1722207&amp;amp;md5=6dc781ecdafbb0b831e3fe8934629acc  Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem], ''Computers &amp;amp; Chemical Engineering'' 22(12), pp. 1829-1835, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [http://epubs.siam.org/sam-bin/dbq/article/26845  Numerical Experience with lower bounds for MIQP branch--and--bound], ''SIAM J. Optimization'' 8(2), pp. 604-616, 1998.&lt;br /&gt;
# R. Fletcher A. Grothey and S. Leyffer. Computing sparse Hessian and Jacobian approximations with optimal hereditary properties, ''in Large-Scale Optimization with Applications, Part II: Optimal Design and Control, editors L.T. Biegler, T.F. Coleman, A.R. Conn and F.N. Santosa, ''1997.&lt;br /&gt;
# R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, ''Mathematical Programming'' 66, pages 327--349, 1994&lt;br /&gt;
&lt;br /&gt;
==== '''Conference Proceedings''' ====&lt;br /&gt;
# Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. [https://doi.org/10.1051/epjconf/202125103060 Apprentice for Event Generator Tuning]. In 25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021). EPJ Web Conf. Volume 251, August 2021. DOI:doi.org/10.1051/epjconf/202125103060&lt;br /&gt;
# Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. [[Media:MIPDECO19a.pdf|Mixed-Integer PDE-Constrained Optimization]]. [https://www.mfo.de/document/1923/preliminary_OWR_2019_26.pdf Oberwolfach Report 2019-26], June 2019.&lt;br /&gt;
# Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. [[Media:chep18.pdf| Teaching PROFESSOR new math]]. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.&lt;br /&gt;
# Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. [[Media:eScience17.pdf|A mathematical programming- and simulation-based framework to evaluate cyberinfrastructure design choices]]. 13th IEEE International Conference on eScience, Auckland NZ, October 24-17, 2017. Published in thirteenth IEEE eScience Conference, IEEE.&lt;br /&gt;
# Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. [[Media:PowerWall.pdf|Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features]]. IEEE SOCC 2016.&lt;br /&gt;
# Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, [[Media:MIPDECOa.pdf|Mixed-Integer PDE-Constrained Optimization]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).&lt;br /&gt;
# Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka, Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations. SuperComputing, November 2015.&lt;br /&gt;
# Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In [http://sc13.supercomputing.org/sites/default/files/PostersArchive/tech_posters/post216s2-file3.pdf SuperComputing 2013], 2013.&lt;br /&gt;
# Siwei Wang, Jesse Ward, Sven Leyffer, Stefan Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised cell identification on multidimensional X-ray fluorescence datasets. In ACM SIGGRAPH 2013 Posters (SIGGRAPH '13). ACM, New York, NY, USA. [http://doi.acm.org/10.1145/2503385.2503481 DOI=10.1145/2503385.2503481], 2013.&lt;br /&gt;
# Noam Goldberg, Sven Leyffer, and Todd Munson. [http://knowledgecenter.siam.org/182SDM/182SDM/1 A New Perspective on Convex Relaxations of Sparse SVM], in Proceedings of SDM 2013,  J. Ghosh, Z. Obradovic, C. Kamath, and S. Partasarthy (eds.), pp. 450-457, SIAM, 2013.&lt;br /&gt;
# Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. [[Media:SC12.pdf|Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method]], SC12, November 10-16, 2012, Salt Lake City, Utah, USA.&lt;br /&gt;
# Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. [[Media:SimBuild2010.pdf|Proactive Energy Management for Next-Generation Building Systems]]. [http://www.ibpsa.us/simbuild2010/ SimBuild 2010], August 11-13, 2010.&lt;br /&gt;
# Sven Leyffer [[Media:EWMINLP10.pdf|Experiments with MINLP Branching Techniques]]. [http://sites.google.com/site/ewminlp/ European Workshop on Mixed Integer Nonlinear Programming], April 2010.&lt;br /&gt;
# Wei Guan, Alexander Gray, and Sven Leyffer. [http://opt.kyb.tuebingen.mpg.de/papers/OPT2009-Guan.pdf Mixed-Integer Support Vector Machine], OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.&lt;br /&gt;
# Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. [http://www.iop.org/EJ/article/1742-6596/180/1/012014/jpconf9_180_012014.pdf?request-id=8f29fdac-1bf8-4457-81a7-9c9e63882dd1 Applications and Algorithms for Mixed Integer Nonlinear Programming]. ''Journal of Physics: Conference Series'', 180:012014, SciDAC 2009.&lt;br /&gt;
# S. Leyffer. [[Media:OW-05.pdf|The Return of the Active Set Method]], Oberwolfach Reports 2(1), 2005.&lt;br /&gt;
# J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. [http://www.nsti.org/procs/Nanotech2004v1/5/W21.01 Biomolecule Electrostatic Optimization with an Implicit Hessian], Nanotech 2004 Vol. 1, 2004.&lt;br /&gt;
&lt;br /&gt;
==== '''White Papers''' ====&lt;br /&gt;
# Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. [https://doi.org/10.6084/m9.figshare.5339608.v1 Control and Design of Multiscale Systems], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. [https://doi.org/10.6084/m9.figshare.5307067.v1 Design, Optimization, and Control of Complex Interconnected Systems (DocSis)], DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.&lt;br /&gt;
# Di, Zichao, Sven Leyffer, M. Otten and Stefan Wild. Department of Energy, [Exposing Latent Hierarchies for Large-Scale Design and Discovery https://doi.org/10.6084/m9.figshare.5339416], September, 2017.&lt;br /&gt;
&lt;br /&gt;
==== '''Blogs and News''' ====&lt;br /&gt;
# Alejandro Aceves, Hans Kaper, and Sven Leyffer. [https://sinews.siam.org/Details-Page/addressing-climate-change-boosting-environmental-resilience-and-advancing-clean-energy-2 Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy]. SIAM News, October 2021.&lt;br /&gt;
# Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. [https://doi.org/10.1287/orms.2021.04.22 OR/MS Education and Quantum Computing], ''OR/MS Today'', August 2021.&lt;br /&gt;
# Sven Leyffer. [https://higherlogicdownload.s3.amazonaws.com/INFORMS/9a2da56a-3917-4600-a0e3-84cfb0d2b004/UploadedFiles/09uQ9yCcRT5ZSlbtKE74_OStoday2017v2.pdf Nonlinear Optimization and Beyond]. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.&lt;br /&gt;
# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.&lt;br /&gt;
# Sven Leyffer. [https://sinews.siam.org/Details-Page/writing-for-success-applying-for-funding Writing for Success: Applying for Funding], in ''SIAM Blogs'', November, 2014.&lt;br /&gt;
# Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. [https://sinews.siam.org/Details-Page/models-and-algorithms-for-exascale-computing-pose-challenges-for-applied-mathematicians-1 Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians]. SIAM News, 46(10), 2013.&lt;br /&gt;
&lt;br /&gt;
==== '''Books''' ====&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
# Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
==== '''Edited Volumes''' ====&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/6/6c/ViewsAndNews-22%282%29.pdf Volume 22, No. 2, May, 2011 'SIAM OP11']&lt;br /&gt;
# S. Leyffer. [http://wiki.siam.org/siag-op/images/siag-op/a/aa/ViewsAndNews-22%281%29.pdf Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/5/57/ViewsAndNews-21%282%29.pdf Volume 21, No. 2, December, 2010. 'Environmental Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.neos-guide.org/NEOS/images/d/d3/ViewsAndNews-21%281%29.pdf Volume 21, No. 1, October, 2010.]&lt;br /&gt;
# S. Leyffer. [http://wiki.mcs.anl.gov/NEOS/images/d/d4/ViewsAndNews-20%281%29.pdf SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization']&lt;br /&gt;
# S. Leyffer. [http://www.mcs.anl.gov/~leyffer/views/19-2.pdf SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08]&lt;br /&gt;
# S. Leyffer and J. Moré. [http://www.springerlink.com/app/home/contribution.asp?wasp=526ca4586bef4f81aa3ccacd8c24d883&amp;amp;referrer=parent&amp;amp;backto=issue,14,37;journal,1,55;linkingpublicationresults,1:103081,1 Deterministic Global Optimization and Applications], ''Mathematical Programming, Series B'' (online first), 2005.&lt;br /&gt;
# N. I. M. Gould, S. Leyffer, and Ph. L. Toint. [http://springerlink.metapress.com/app/home/issue.asp?wasp=34gwwvrgmq7046lx8ue3&amp;amp;referrer=parent&amp;amp;backto=journal,9,53;linkingpublicationresults,1:103081,1  Large Scale Nonconvex Optimization Algorithms and Applications]. ''Mathematical Programming, Series B'' 100(1), 2004.&lt;br /&gt;
# S. Leyffer and J. Nocedal. [http://www.mat.uc.pt/siagopt/vn14_1.pdf  Large Scale Nonconvex Optimization], ''SIAG/Optimization Views-and-News'' 14(1), 2003.&lt;br /&gt;
&lt;br /&gt;
==== '''Preprints''' ====&lt;br /&gt;
# Ahmed Attia, Sven Leyffer, Todd Munson. [https://arxiv.org/abs/2305.03855 Robust A-Optimal Experimental Design for Bayesian Inverse Problems]. arXiv:2305.0385 [math.OC], 2023.&lt;br /&gt;
# Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. [https://arxiv.org/abs/2202.07934 On structural similarities of combinatorial integral approximation and binary trust-region steepest descent]. 	arXiv:2202.07934 [math.OC], 2022.&lt;br /&gt;
# Sven Leyffer and Paul Manns. [https://arxiv.org/pdf/2106.13453.pdf Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization]. arXiv:2106.13453 [math.OC], 2021.&lt;br /&gt;
# S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. [https://arxiv.org/abs/2009.09498 Distributed optimization with tunable learned priors for robust ptycho-tomography]. arXiv:2009.09498 [eess.IV], 2020.&lt;br /&gt;
# J. J. Brust, S. Leyffer, and C. G. Petra. [[Media:StructureCompactLBFGS.pdf|Compact Representations of BFGS Matrices]]. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.&lt;br /&gt;
# Brian Dandurand, Kibaek Kim, and Sven Leyffer. [[Media:LagrangianDualContingencies.pdf|A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems]]. Argonne National Laboratory, MCS Division Preprint. July 2019.&lt;br /&gt;
# Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. [[Media:DFO-MIP.pdf|A Method for Convex Black-Box Integer Global Optimization]] and [[Media:DFO-MIP-suppl.pdf|Supplementary Material]]. Argonne National Laboratory, MCS Division Preprint. February 2019.&lt;br /&gt;
# Mirko Hahn, Sven Leyffer, and Victor M. Zavala. [[Media:GasNetMIP-1.pdf|Mixed-Integer PDE-Constrained Optimal Control of Gas Networks]]. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.&lt;br /&gt;
# Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna Palem, Kazutomo Yoshii, Hal Finkel. Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. [https://arxiv.org/abs/1610.02606 arxiv.org/abs/1610.02606]. October 2016.&lt;br /&gt;
# Fu Lin, Zichao Di, and Sven Leyffer. [[Media:MultilevelSDP.pdf|A Multilevel Approach to Class of Semidefinite Programs]]. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.&lt;br /&gt;
# Fu Lin and Sven Leyffer. [[Media:dynamicstab.pdf|Oscillation Mitigation in Electric Power Grids via Semidefinite Programming]]. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.&lt;br /&gt;
# Kathrin Hatz, Sven Leyffer, Johannes P. Schloeder, and Hans Georg Bock. [[Media:MPEC-lift.pdf|Regularizing Bilevel Nonlinear Programs by Lifting]]. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.&lt;br /&gt;
# Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. [[Media:QP-diving.pdf|Solving Mixed-Integer Nonlinear Programs by QP-Diving]].  Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.&lt;br /&gt;
# Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. [[Media:SOS-OA-ANL.pdf|Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization]]. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.&lt;br /&gt;
# Sven Leyffer. [[Media:Manual.pdf|A Filter Active-Set Trust-Region (FASTr) Framework]]. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Sven Leyffer and Todd S. Munson. [[Media:SLPEC.pdf|A Globally Convergent Filter Method for MPECs]]. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. [[Media:Fastr.pdf|A Filter Active-Set Trust-Region Method]]. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:NSFilter.pdf|A bundle filter method for nonsmooth nonlinear optimization]], ''University of Dundee Numerical Analysis Report NA\195 '', (December, 1999).&lt;br /&gt;
# A. Grothey, S. Leyffer, and K.I.M. McKinnon. [[Media:GBD-feas.pdf|A note on feasibility in Benders decomposition]]. ''University of Dundee Numerical Analysis Report NA\188'', (January, 1999).&lt;br /&gt;
# R. Fletcher, S. Leyffer, and Ph.L. Toint , [[Media:NA183_RF_SL_PT.pdf|On the Global Convergence of an SLP-Filter Algorithm]], Dundee Numerical Analysis Report NA/183, 1998.&lt;br /&gt;
# R. Fletcher and S. Leyffer. [[Media:SQP_manual.pdf|User manual for filterSQP]], ''University of Dundee Numerical Analysis Report NA\181'', (April, 1998).&lt;br /&gt;
# S. Leyffer. ''[[Media:Thesis.pdf|Deterministic Methods for Mixed Integer Nonlinear Programming]]. ''Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.&lt;br /&gt;
&lt;br /&gt;
==== '''Google Scholar Profile''' ====&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
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		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2302</id>
		<title>Sven Leyffer's Appointments</title>
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		<updated>2023-03-10T22:11:44Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
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&lt;div&gt;====Current Appointments and Activities====&lt;br /&gt;
* Deputy Division Director in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* Senior Computational Mathematician in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* [https://www.siam.org/about-siam/leadership SIAM President] (2023-2024)&lt;br /&gt;
* Senior Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2010- )&lt;br /&gt;
* Associate Editor of [http://www.springer.com/math/journal/10589 Computational Optimization and Applications] (2006- )&lt;br /&gt;
* Member of [http://www.siam.org/about/science/sci-pol.php SIAM Committee on Science Policy] (2015- ); Chair, SIAM Climate Task Force (2021)&lt;br /&gt;
* Member of [http://siam.org/books/series/fa.php Editorial Board of SIAM Series on Fundamentals of Algorithms] (2015- )&lt;br /&gt;
&lt;br /&gt;
====Previous Appointments and Activities====&lt;br /&gt;
* Member SIAM Fellows Canvassing Committee (2021)&lt;br /&gt;
* Secretary of [http://www.iciam.org/council/council_tf.html ICIAM] (2015-2022)&lt;br /&gt;
* Editor-in-Chief, [https://link.springer.com/journal/10107 Mathematical Programming B] (2018-2021)&lt;br /&gt;
* Associate Editor of [http://www.ams.org/publications/journals/journalsframework/mcom Mathematics of Computation] (2017-2021)&lt;br /&gt;
* Chair, Selection committee, Lagrange Prize in Continuous Optimization (2020)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member of SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member, SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Nominating Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Working Group on Professional Development (2015-2017)&lt;br /&gt;
* Member, Organizing committee, SIAM Workshop on Combinatorial Scientific Computing (2014)&lt;br /&gt;
* Co-Editor of [http://www.springer.com/mathematics/journal/10107 Mathematical Programming A] (2011-2017)&lt;br /&gt;
* Editor-in-Chief [http://www.springer.com/math/journal/186 Mathematical Methods of Operation Research] (2008-2014)&lt;br /&gt;
* Editor [http://wiki.mcs.anl.gov/NEOS/index.php/SIAG/Optimization_View_and_News SIAG/OPT Views-and-News] (2008-2014)&lt;br /&gt;
* [http://www.siam.org/ SIAM] Vice President for Programs (2010-2013)&lt;br /&gt;
* Ex-Officio Member, SIAM Board and Council (2010-2013)&lt;br /&gt;
* Chair, SIAM/ICIAM Young Researcher Travel Awards (2011)&lt;br /&gt;
* Adjunct Professor in the [http://www.eecs.northwestern.edu/  Department of Electrical Engineering &amp;amp; Computer Science], Northwestern University (2006-2012)&lt;br /&gt;
* Area Editor Nonlinear Optimization [http://www.springer.com/math/journal/12532  Mathematical Programming Computation] (2008-2012)&lt;br /&gt;
* Associate editor of [http://www.springer.com/business/operations+research/journal/10287 Computational Management Science] (2003-2011 )&lt;br /&gt;
* Associate editor of [http://epubs.siam.org/sam-bin/dbq/toclist/SIOPT SIAM Journal on Optimization] (2002-2010)&lt;br /&gt;
* Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2004-2010)&lt;br /&gt;
* Cluster chair for nonlinear mixed-integer progamming of [http://ismp2009.eecs.northwestern.edu/ ISMP-2009]&lt;br /&gt;
* Co-chair [http://www.ima.umn.edu/2008-2009/SW11.17-21.08/ IMA Hot Topics Workshop: Mixed-Integer Nonlinear Optimization], November 17-21, 2008&lt;br /&gt;
* Co-chair [http://www.siam.org/meetings/op08/ SIAM Conference on Optimization], Boston, MA, May 10-13, 2008&lt;br /&gt;
* Program director of the [http://www.siam.org/activity/optimization/ SIAM Activity Group on Optimization] (2004-2007)&lt;br /&gt;
* Vice-chair for nonlinear programming of the [http://www.informs.org/Subdiv/Society/OPT/ INFORMS Optimization Society] (2004-2006)&lt;br /&gt;
* Cluster chair for nonlinear programming of [http://www.ismp2006.org/ ISMP-2006]&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2007 Institute on Computational Economics] (University of Chicago, 2007)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2006 Institute on Computational Economics] (University of Chicago, 2006)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2005 Institute on Computational Economics] (University of Chicago &amp;amp; Argonne National Laboratory, 2005)&lt;br /&gt;
* Co-chair [http://www-unix.mcs.anl.gov/~leyffer/goti/ Global Optimization Theory Institute] (Argonne National Laboratory, September 8-10, 2003)&lt;br /&gt;
* Research Fellow, [http://www.maths.dundee.ac.uk/ Department of Mathematics, University of Dundee] (1994-2002)&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/minlp/ MINLP World]&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/mpec/ MPEC World]&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2300</id>
		<title>Sven Leyffer's Appointments</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2300"/>
		<updated>2023-03-10T22:11:21Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;====Current Appointments and Activities====&lt;br /&gt;
* Deputy Division Director in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* Senior Computational Mathematician in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* [https://www.siam.org/about-siam/leadership SIAM President] (2023-2024)&lt;br /&gt;
* Senior Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2010- )&lt;br /&gt;
* Associate Editor of [http://www.springer.com/math/journal/10589 Computational Optimization and Applications] (2006- )&lt;br /&gt;
* [https://www.siam.org/about-siam/leadership SIAM President] (2023-2024)&lt;br /&gt;
* Member of [http://www.siam.org/about/science/sci-pol.php SIAM Committee on Science Policy] (2015- ); Chair, SIAM Climate Task Force (2021)&lt;br /&gt;
* Member of [http://siam.org/books/series/fa.php Editorial Board of SIAM Series on Fundamentals of Algorithms] (2015- )&lt;br /&gt;
&lt;br /&gt;
====Previous Appointments and Activities====&lt;br /&gt;
* Member SIAM Fellows Canvassing Committee (2021)&lt;br /&gt;
* Secretary of [http://www.iciam.org/council/council_tf.html ICIAM] (2015-2022)&lt;br /&gt;
* Editor-in-Chief, [https://link.springer.com/journal/10107 Mathematical Programming B] (2018-2021)&lt;br /&gt;
* Associate Editor of [http://www.ams.org/publications/journals/journalsframework/mcom Mathematics of Computation] (2017-2021)&lt;br /&gt;
* Chair, Selection committee, Lagrange Prize in Continuous Optimization (2020)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member of SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member, SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Nominating Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Working Group on Professional Development (2015-2017)&lt;br /&gt;
* Member, Organizing committee, SIAM Workshop on Combinatorial Scientific Computing (2014)&lt;br /&gt;
* Co-Editor of [http://www.springer.com/mathematics/journal/10107 Mathematical Programming A] (2011-2017)&lt;br /&gt;
* Editor-in-Chief [http://www.springer.com/math/journal/186 Mathematical Methods of Operation Research] (2008-2014)&lt;br /&gt;
* Editor [http://wiki.mcs.anl.gov/NEOS/index.php/SIAG/Optimization_View_and_News SIAG/OPT Views-and-News] (2008-2014)&lt;br /&gt;
* [http://www.siam.org/ SIAM] Vice President for Programs (2010-2013)&lt;br /&gt;
* Ex-Officio Member, SIAM Board and Council (2010-2013)&lt;br /&gt;
* Chair, SIAM/ICIAM Young Researcher Travel Awards (2011)&lt;br /&gt;
* Adjunct Professor in the [http://www.eecs.northwestern.edu/  Department of Electrical Engineering &amp;amp; Computer Science], Northwestern University (2006-2012)&lt;br /&gt;
* Area Editor Nonlinear Optimization [http://www.springer.com/math/journal/12532  Mathematical Programming Computation] (2008-2012)&lt;br /&gt;
* Associate editor of [http://www.springer.com/business/operations+research/journal/10287 Computational Management Science] (2003-2011 )&lt;br /&gt;
* Associate editor of [http://epubs.siam.org/sam-bin/dbq/toclist/SIOPT SIAM Journal on Optimization] (2002-2010)&lt;br /&gt;
* Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2004-2010)&lt;br /&gt;
* Cluster chair for nonlinear mixed-integer progamming of [http://ismp2009.eecs.northwestern.edu/ ISMP-2009]&lt;br /&gt;
* Co-chair [http://www.ima.umn.edu/2008-2009/SW11.17-21.08/ IMA Hot Topics Workshop: Mixed-Integer Nonlinear Optimization], November 17-21, 2008&lt;br /&gt;
* Co-chair [http://www.siam.org/meetings/op08/ SIAM Conference on Optimization], Boston, MA, May 10-13, 2008&lt;br /&gt;
* Program director of the [http://www.siam.org/activity/optimization/ SIAM Activity Group on Optimization] (2004-2007)&lt;br /&gt;
* Vice-chair for nonlinear programming of the [http://www.informs.org/Subdiv/Society/OPT/ INFORMS Optimization Society] (2004-2006)&lt;br /&gt;
* Cluster chair for nonlinear programming of [http://www.ismp2006.org/ ISMP-2006]&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2007 Institute on Computational Economics] (University of Chicago, 2007)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2006 Institute on Computational Economics] (University of Chicago, 2006)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2005 Institute on Computational Economics] (University of Chicago &amp;amp; Argonne National Laboratory, 2005)&lt;br /&gt;
* Co-chair [http://www-unix.mcs.anl.gov/~leyffer/goti/ Global Optimization Theory Institute] (Argonne National Laboratory, September 8-10, 2003)&lt;br /&gt;
* Research Fellow, [http://www.maths.dundee.ac.uk/ Department of Mathematics, University of Dundee] (1994-2002)&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/minlp/ MINLP World]&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/mpec/ MPEC World]&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Bio&amp;diff=2298</id>
		<title>Sven Leyffer's Bio</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Bio&amp;diff=2298"/>
		<updated>2023-03-10T22:08:44Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Image:SvenDesk.jpg|thumb|188px|Sven Leyffer]]&lt;br /&gt;
Born in Hamburg, Germany, Sven obtained his Ph.D. in 1994 from the [http://www.dundee.ac.uk/ University of Dundee], working on mixed-integer nonlinear programming problems with [https://en.wikipedia.org/wiki/Roger_Fletcher_(mathematician) Roger Fletcher]. He has held postdoc positions at Dundee, Northwestern, and Argonne, where he now works as a Senior Computational Mathematician in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division]. Sven is a Senior Fellow of the [http://www.ci.anl.gov/ Computation Institute] at the University of Chicago. &lt;br /&gt;
&lt;br /&gt;
Sven was a co-editor of [http://www.springer.com/mathematics/journal/10107 Mathematical Programming] and served as an editor-in-chief of [http://www.springer.com/math/journal/186 Mathematical Methods of Operations Research]. He serves on the editorial board of [http://www.springer.com/math/journal/10589 Computational Optimization and Applications] and [http://www.ams.org/publications/journals/journalsframework/mcom Mathematics of Computation]. In addition, Sven has served as the [http://optimization.society.informs.org/ INFORMS Optimization] Vice-Chair for nonlinear programming and as the Program Director of the [http://www.siam.org/activity/optimization/ SIAM activity group on optimization]. Sven was [http://www.siam.org SIAM] Vice President for Programs from 2010-2013. Currently, Sven serves as the [http://iciam.org/ Secretary of ICIAM]. For other appointments, see [[Sven Leyffer's Appointments|this list of other appointments]].&lt;br /&gt;
&lt;br /&gt;
Together with Roger Fletcher and Philippe L. Toint, Sven was awarded the [http://www.siam.org/prizes/sponsored/lagrange.php Lagrange prize in optimization] in 2006. In 2009, Sven became a [http://fellows.siam.org/index.php SIAM Fellow]. In 2013, Sven won the [http://clas.ufl.edu/users/hager/coap/Best/2012.pdf 2012 COAP Best Paper Prize] with Chungen Chen and Roger Fletcher for their paper on nonmonotone filter methods. In 2016, Sven was awarded the [https://www.informs.org/Community/Optimization-Society/Optimization-Society-Prizes/Farkas-Prize Farkas Prize for Mid-career Researchers by INFORMS].&lt;br /&gt;
&lt;br /&gt;
See my profile at [http://scholar.google.com/citations?user=UubsxcAAAAAJ&amp;amp;hl=en google scholar].&lt;br /&gt;
&lt;br /&gt;
Sven's dad, Werner Leyffer, runs the smallest [http://www.seemannsmission-brunsbuettel.de/heimathafen/seemannsclub-glueckstadt/ Seafarer's Mission in Glueckstadt, Germany], featured in these articles of the Norddeutsche Rundschau from [http://www.shz.de/lokales/norddeutsche-rundschau/seemannsmission-erweitert-aktionsradius-id248809.html 2012], [http://www.shz.de/lokales/norddeutsche-rundschau/zum-fest-gibt-es-spiele-id5271426.html 2013], [http://www.shz.de/lokales/norddeutsche-rundschau/besuch-fuer-gestrandete-seemaenner-id8544436.html 2014], and [http://www.shz.de/lokales/norddeutsche-rundschau/adventskalender-der-seemannsmission-erhaeltlich-id11195376.html 2015].&lt;br /&gt;
Some old personal stuff about [https://home.comcast.net/~s.leyffer/ Gwen &amp;amp; Sven Leyffer], and here is a Scottish Country dance that Sven devised, called [https://www.scottish-country-dancing-dictionary.com/dance-crib/teddy-bears-picnic-2.html The Teddybears' Picnic] (which we first performed in Teddybear costumes).&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer&amp;diff=2296</id>
		<title>Sven Leyffer</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer&amp;diff=2296"/>
		<updated>2023-03-10T22:07:57Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Image:leyffer.jpg|thumb|150px|Sven Leyffer]]&lt;br /&gt;
I am a senior computational mathematician and deputy division director in the [http://www.mcs.anl.gov/ Mathematics and Computer Science Division] at [http://www.anl.gov/ Argonne National Laboratory]. I am a member of LANS, the [https://www.anl.gov/mcs/lans Laboratory for Applied Mathematics, Numerical Software, and Statistics (LANS)] , and a Senior Fellow of the [http://www.ci.uchicago.edu/ Computation Institute]. &lt;br /&gt;
&lt;br /&gt;
'''Research Statement:'''&amp;lt;br&amp;gt;&lt;br /&gt;
''I am interested in the development of reliable methods for solving large-scale nonlinear optimization problems and in the implementation and analysis of filter type algorithms. This forms the basis from which I am extending nonlinear optimization methodologies to other areas such as design-of-experiments, machine learning, quantum computing, and mixed-integer nonlinear optimization.''&lt;br /&gt;
&lt;br /&gt;
'''Links:'''&amp;lt;br&amp;gt;&lt;br /&gt;
[[Sven Leyffer's Research|Current Research Interests &amp;amp; Testproblem Libraries]]&amp;lt;br&amp;gt;&lt;br /&gt;
[[Sven Leyffer's Publications|Publications &amp;amp; Preprints]]&amp;lt;br&amp;gt;&lt;br /&gt;
[[Sven Leyffer's Software|Software (under construction)]]&amp;lt;br&amp;gt;&lt;br /&gt;
[http://www.neos-server.org/neos/ NEOS server] the ubiquitous online source for optimization&amp;lt;br&amp;gt;&lt;br /&gt;
[http://wiki.siam.org/siag-op/index.php/View_and_News Views-and-News] the newsletter for the [http://www.siam.org/activity/optimization/ SIAM Activity Group on Optimization].&lt;br /&gt;
&lt;br /&gt;
'''Student and Postdoc Opportunities:'''&amp;lt;br&amp;gt;&lt;br /&gt;
[http://www.mcs.anl.gov/career-opportunities/givens-associates Givens Associates]&lt;br /&gt;
&lt;br /&gt;
'''LANS Seminars:'''&amp;lt;br&amp;gt;&lt;br /&gt;
[http://www.mcs.anl.gov/research/LANS/events/listn/ LISTn: LANS Informal Talks Network], see  also [http://www.google.com/calendar/embed?src=e8r9gll7mc180cf279n49ancio%40group.calendar.google.com&amp;amp;ctz=America/Chicago the LISTn google calendar]&lt;br /&gt;
&lt;br /&gt;
[[Image:MINLP-Book.jpg|thumb|115px]]&lt;br /&gt;
'''Book'''&amp;lt;br&amp;gt;&lt;br /&gt;
Jon Lee and Sven Leyffer (Eds). [http://www.springer.com/mathematics/analysis/book/978-1-4614-1926-6 ''Mixed Integer Nonlinear Programming''], in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.&lt;br /&gt;
&lt;br /&gt;
'''Contact:'''&amp;lt;br&amp;gt;&lt;br /&gt;
Sven Leyffer (see [http://www.google.com/calendar/embed?src=sven.leyffer@gmail.com&amp;amp;ctz=America/Chicago my google calendar] for busy times)&amp;lt;br&amp;gt; &lt;br /&gt;
Mathematics and Computer Science Division&amp;lt;br&amp;gt; &lt;br /&gt;
Argonne National Laboratory&amp;lt;br&amp;gt; &lt;br /&gt;
Argonne, Il 60439, USA&amp;lt;br&amp;gt; &lt;br /&gt;
E-mail: [mailto:leyffer@anl.gov leyffer at anl.gov]&amp;lt;br&amp;gt; &lt;br /&gt;
Phone: (630) 252-4698; Fax: (630) 252-5986&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2294</id>
		<title>Sven Leyffer's Appointments</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2294"/>
		<updated>2023-01-09T15:50:48Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: /* Current Appointments and Activities */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;====Current Appointments and Activities====&lt;br /&gt;
* Senior Computational Mathematician in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* Senior Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2010- )&lt;br /&gt;
* Associate Editor of [http://www.springer.com/math/journal/10589 Computational Optimization and Applications] (2006- )&lt;br /&gt;
* [https://www.siam.org/about-siam/leadership SIAM President] (2023-2024)&lt;br /&gt;
* Member of [http://www.siam.org/about/science/sci-pol.php SIAM Committee on Science Policy] (2015- ); Chair, SIAM Climate Task Force (2021)&lt;br /&gt;
* Member of [http://siam.org/books/series/fa.php Editorial Board of SIAM Series on Fundamentals of Algorithms] (2015- )&lt;br /&gt;
&lt;br /&gt;
====Previous Appointments and Activities====&lt;br /&gt;
* Member SIAM Fellows Canvassing Committee (2021)&lt;br /&gt;
* Secretary of [http://www.iciam.org/council/council_tf.html ICIAM] (2015-2022)&lt;br /&gt;
* Editor-in-Chief, [https://link.springer.com/journal/10107 Mathematical Programming B] (2018-2021)&lt;br /&gt;
* Associate Editor of [http://www.ams.org/publications/journals/journalsframework/mcom Mathematics of Computation] (2017-2021)&lt;br /&gt;
* Chair, Selection committee, Lagrange Prize in Continuous Optimization (2020)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member of SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member, SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Nominating Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Working Group on Professional Development (2015-2017)&lt;br /&gt;
* Member, Organizing committee, SIAM Workshop on Combinatorial Scientific Computing (2014)&lt;br /&gt;
* Co-Editor of [http://www.springer.com/mathematics/journal/10107 Mathematical Programming A] (2011-2017)&lt;br /&gt;
* Editor-in-Chief [http://www.springer.com/math/journal/186 Mathematical Methods of Operation Research] (2008-2014)&lt;br /&gt;
* Editor [http://wiki.mcs.anl.gov/NEOS/index.php/SIAG/Optimization_View_and_News SIAG/OPT Views-and-News] (2008-2014)&lt;br /&gt;
* [http://www.siam.org/ SIAM] Vice President for Programs (2010-2013)&lt;br /&gt;
* Ex-Officio Member, SIAM Board and Council (2010-2013)&lt;br /&gt;
* Chair, SIAM/ICIAM Young Researcher Travel Awards (2011)&lt;br /&gt;
* Adjunct Professor in the [http://www.eecs.northwestern.edu/  Department of Electrical Engineering &amp;amp; Computer Science], Northwestern University (2006-2012)&lt;br /&gt;
* Area Editor Nonlinear Optimization [http://www.springer.com/math/journal/12532  Mathematical Programming Computation] (2008-2012)&lt;br /&gt;
* Associate editor of [http://www.springer.com/business/operations+research/journal/10287 Computational Management Science] (2003-2011 )&lt;br /&gt;
* Associate editor of [http://epubs.siam.org/sam-bin/dbq/toclist/SIOPT SIAM Journal on Optimization] (2002-2010)&lt;br /&gt;
* Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2004-2010)&lt;br /&gt;
* Cluster chair for nonlinear mixed-integer progamming of [http://ismp2009.eecs.northwestern.edu/ ISMP-2009]&lt;br /&gt;
* Co-chair [http://www.ima.umn.edu/2008-2009/SW11.17-21.08/ IMA Hot Topics Workshop: Mixed-Integer Nonlinear Optimization], November 17-21, 2008&lt;br /&gt;
* Co-chair [http://www.siam.org/meetings/op08/ SIAM Conference on Optimization], Boston, MA, May 10-13, 2008&lt;br /&gt;
* Program director of the [http://www.siam.org/activity/optimization/ SIAM Activity Group on Optimization] (2004-2007)&lt;br /&gt;
* Vice-chair for nonlinear programming of the [http://www.informs.org/Subdiv/Society/OPT/ INFORMS Optimization Society] (2004-2006)&lt;br /&gt;
* Cluster chair for nonlinear programming of [http://www.ismp2006.org/ ISMP-2006]&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2007 Institute on Computational Economics] (University of Chicago, 2007)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2006 Institute on Computational Economics] (University of Chicago, 2006)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2005 Institute on Computational Economics] (University of Chicago &amp;amp; Argonne National Laboratory, 2005)&lt;br /&gt;
* Co-chair [http://www-unix.mcs.anl.gov/~leyffer/goti/ Global Optimization Theory Institute] (Argonne National Laboratory, September 8-10, 2003)&lt;br /&gt;
* Research Fellow, [http://www.maths.dundee.ac.uk/ Department of Mathematics, University of Dundee] (1994-2002)&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/minlp/ MINLP World]&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/mpec/ MPEC World]&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2292</id>
		<title>Sven Leyffer's Appointments</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2292"/>
		<updated>2022-12-01T18:15:09Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;====Current Appointments and Activities====&lt;br /&gt;
* Senior Computational Mathematician in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* Senior Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2010- )&lt;br /&gt;
* Associate Editor of [http://www.springer.com/math/journal/10589 Computational Optimization and Applications] (2006- )&lt;br /&gt;
* [https://www.siam.org/about-siam/leadership SIAM President-Elect] (2022)&lt;br /&gt;
* Member of [http://www.siam.org/about/science/sci-pol.php SIAM Committee on Science Policy] (2015- ); Chair, SIAM Climate Task Force (2021)&lt;br /&gt;
* Member of [http://siam.org/books/series/fa.php Editorial Board of SIAM Series on Fundamentals of Algorithms] (2015- )&lt;br /&gt;
&lt;br /&gt;
====Previous Appointments and Activities====&lt;br /&gt;
* Member SIAM Fellows Canvassing Committee (2021)&lt;br /&gt;
* Secretary of [http://www.iciam.org/council/council_tf.html ICIAM] (2015-2022)&lt;br /&gt;
* Editor-in-Chief, [https://link.springer.com/journal/10107 Mathematical Programming B] (2018-2021)&lt;br /&gt;
* Associate Editor of [http://www.ams.org/publications/journals/journalsframework/mcom Mathematics of Computation] (2017-2021)&lt;br /&gt;
* Chair, Selection committee, Lagrange Prize in Continuous Optimization (2020)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member of SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member, SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Nominating Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Working Group on Professional Development (2015-2017)&lt;br /&gt;
* Member, Organizing committee, SIAM Workshop on Combinatorial Scientific Computing (2014)&lt;br /&gt;
* Co-Editor of [http://www.springer.com/mathematics/journal/10107 Mathematical Programming A] (2011-2017)&lt;br /&gt;
* Editor-in-Chief [http://www.springer.com/math/journal/186 Mathematical Methods of Operation Research] (2008-2014)&lt;br /&gt;
* Editor [http://wiki.mcs.anl.gov/NEOS/index.php/SIAG/Optimization_View_and_News SIAG/OPT Views-and-News] (2008-2014)&lt;br /&gt;
* [http://www.siam.org/ SIAM] Vice President for Programs (2010-2013)&lt;br /&gt;
* Ex-Officio Member, SIAM Board and Council (2010-2013)&lt;br /&gt;
* Chair, SIAM/ICIAM Young Researcher Travel Awards (2011)&lt;br /&gt;
* Adjunct Professor in the [http://www.eecs.northwestern.edu/  Department of Electrical Engineering &amp;amp; Computer Science], Northwestern University (2006-2012)&lt;br /&gt;
* Area Editor Nonlinear Optimization [http://www.springer.com/math/journal/12532  Mathematical Programming Computation] (2008-2012)&lt;br /&gt;
* Associate editor of [http://www.springer.com/business/operations+research/journal/10287 Computational Management Science] (2003-2011 )&lt;br /&gt;
* Associate editor of [http://epubs.siam.org/sam-bin/dbq/toclist/SIOPT SIAM Journal on Optimization] (2002-2010)&lt;br /&gt;
* Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2004-2010)&lt;br /&gt;
* Cluster chair for nonlinear mixed-integer progamming of [http://ismp2009.eecs.northwestern.edu/ ISMP-2009]&lt;br /&gt;
* Co-chair [http://www.ima.umn.edu/2008-2009/SW11.17-21.08/ IMA Hot Topics Workshop: Mixed-Integer Nonlinear Optimization], November 17-21, 2008&lt;br /&gt;
* Co-chair [http://www.siam.org/meetings/op08/ SIAM Conference on Optimization], Boston, MA, May 10-13, 2008&lt;br /&gt;
* Program director of the [http://www.siam.org/activity/optimization/ SIAM Activity Group on Optimization] (2004-2007)&lt;br /&gt;
* Vice-chair for nonlinear programming of the [http://www.informs.org/Subdiv/Society/OPT/ INFORMS Optimization Society] (2004-2006)&lt;br /&gt;
* Cluster chair for nonlinear programming of [http://www.ismp2006.org/ ISMP-2006]&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2007 Institute on Computational Economics] (University of Chicago, 2007)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2006 Institute on Computational Economics] (University of Chicago, 2006)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2005 Institute on Computational Economics] (University of Chicago &amp;amp; Argonne National Laboratory, 2005)&lt;br /&gt;
* Co-chair [http://www-unix.mcs.anl.gov/~leyffer/goti/ Global Optimization Theory Institute] (Argonne National Laboratory, September 8-10, 2003)&lt;br /&gt;
* Research Fellow, [http://www.maths.dundee.ac.uk/ Department of Mathematics, University of Dundee] (1994-2002)&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/minlp/ MINLP World]&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/mpec/ MPEC World]&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
	<entry>
		<id> /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2290</id>
		<title>Sven Leyffer's Appointments</title>
		<link rel="alternate" type="text/html" href=" /leyffer/index.php?title=Sven_Leyffer%27s_Appointments&amp;diff=2290"/>
		<updated>2022-12-01T18:14:04Z</updated>

		<summary type="html">&lt;p&gt;Leyffer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;====Current Appointments and Activities====&lt;br /&gt;
* Senior Computational Mathematician in the [http://www.mcs.anl.gov/index.php Mathematics and Computer Science Division] at [http://www.anl.gov Argonne National Laboratory]&lt;br /&gt;
* Senior Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2010- )&lt;br /&gt;
* Associate Editor of [http://www.springer.com/math/journal/10589 Computational Optimization and Applications] (2006- )&lt;br /&gt;
* SIAM President-Elect (2022)&lt;br /&gt;
* Member of [http://www.siam.org/about/science/sci-pol.php SIAM Committee on Science Policy] (2015- ); Chair, SIAM Climate Task Force (2021)&lt;br /&gt;
* Member of [http://siam.org/books/series/fa.php Editorial Board of SIAM Series on Fundamentals of Algorithms] (2015- )&lt;br /&gt;
&lt;br /&gt;
====Previous Appointments and Activities====&lt;br /&gt;
* Member SIAM Fellows Canvassing Committee (2021)&lt;br /&gt;
* Secretary of [http://www.iciam.org/council/council_tf.html ICIAM] (2015-2022)&lt;br /&gt;
* Editor-in-Chief, [https://link.springer.com/journal/10107 Mathematical Programming B] (2018-2021)&lt;br /&gt;
* Associate Editor of [http://www.ams.org/publications/journals/journalsframework/mcom Mathematics of Computation] (2017-2021)&lt;br /&gt;
* Chair, Selection committee, Lagrange Prize in Continuous Optimization (2020)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member of SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Guest associate editor, SIAM Journal on Scientific Computing (2012, 2014, 2016, 2018, 2020)&lt;br /&gt;
* Panelist, mid-career panel, SIAM Conference on Computational Science and Engineering (2019)&lt;br /&gt;
* Member, SIAM Fellows Selection Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Nominating Committee (2016-2018)&lt;br /&gt;
* Member, SIAM Working Group on Professional Development (2015-2017)&lt;br /&gt;
* Member, Organizing committee, SIAM Workshop on Combinatorial Scientific Computing (2014)&lt;br /&gt;
* Co-Editor of [http://www.springer.com/mathematics/journal/10107 Mathematical Programming A] (2011-2017)&lt;br /&gt;
* Editor-in-Chief [http://www.springer.com/math/journal/186 Mathematical Methods of Operation Research] (2008-2014)&lt;br /&gt;
* Editor [http://wiki.mcs.anl.gov/NEOS/index.php/SIAG/Optimization_View_and_News SIAG/OPT Views-and-News] (2008-2014)&lt;br /&gt;
* [http://www.siam.org/ SIAM] Vice President for Programs (2010-2013)&lt;br /&gt;
* Ex-Officio Member, SIAM Board and Council (2010-2013)&lt;br /&gt;
* Chair, SIAM/ICIAM Young Researcher Travel Awards (2011)&lt;br /&gt;
* Adjunct Professor in the [http://www.eecs.northwestern.edu/  Department of Electrical Engineering &amp;amp; Computer Science], Northwestern University (2006-2012)&lt;br /&gt;
* Area Editor Nonlinear Optimization [http://www.springer.com/math/journal/12532  Mathematical Programming Computation] (2008-2012)&lt;br /&gt;
* Associate editor of [http://www.springer.com/business/operations+research/journal/10287 Computational Management Science] (2003-2011 )&lt;br /&gt;
* Associate editor of [http://epubs.siam.org/sam-bin/dbq/toclist/SIOPT SIAM Journal on Optimization] (2002-2010)&lt;br /&gt;
* Fellow of the [http://www.ci.uchicago.edu/ Computation Institute], University of Chicago (2004-2010)&lt;br /&gt;
* Cluster chair for nonlinear mixed-integer progamming of [http://ismp2009.eecs.northwestern.edu/ ISMP-2009]&lt;br /&gt;
* Co-chair [http://www.ima.umn.edu/2008-2009/SW11.17-21.08/ IMA Hot Topics Workshop: Mixed-Integer Nonlinear Optimization], November 17-21, 2008&lt;br /&gt;
* Co-chair [http://www.siam.org/meetings/op08/ SIAM Conference on Optimization], Boston, MA, May 10-13, 2008&lt;br /&gt;
* Program director of the [http://www.siam.org/activity/optimization/ SIAM Activity Group on Optimization] (2004-2007)&lt;br /&gt;
* Vice-chair for nonlinear programming of the [http://www.informs.org/Subdiv/Society/OPT/ INFORMS Optimization Society] (2004-2006)&lt;br /&gt;
* Cluster chair for nonlinear programming of [http://www.ismp2006.org/ ISMP-2006]&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2007 Institute on Computational Economics] (University of Chicago, 2007)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2006 Institute on Computational Economics] (University of Chicago, 2006)&lt;br /&gt;
* Co-chair [http://jenni.uchicago.edu/summer/ 2005 Institute on Computational Economics] (University of Chicago &amp;amp; Argonne National Laboratory, 2005)&lt;br /&gt;
* Co-chair [http://www-unix.mcs.anl.gov/~leyffer/goti/ Global Optimization Theory Institute] (Argonne National Laboratory, September 8-10, 2003)&lt;br /&gt;
* Research Fellow, [http://www.maths.dundee.ac.uk/ Department of Mathematics, University of Dundee] (1994-2002)&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/minlp/ MINLP World]&lt;br /&gt;
* Member of the advisory board of [http://www.gamsworld.org/mpec/ MPEC World]&lt;/div&gt;</summary>
		<author><name>Leyffer</name></author>
	</entry>
</feed>