Difference between revisions of "Sven Leyffer's Publications"

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==== '''Published Papers''' ====
 
==== '''Published Papers''' ====
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# 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].
 +
# 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].
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# 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].
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# 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).
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# 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.
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# 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]
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# 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].
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# 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.
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# 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.
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# 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]
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# 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.
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# 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.
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# 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.
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# 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.       
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# 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].
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# 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].
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# 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]
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# 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]
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# 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]
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# Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. ''Microscopy and Microanalysis" 26 (S2) (2020): 2466-2466. [https://doi.org/doi:10.1017/S1431927620021686 DOI:10.1017/S1431927620021686]
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# 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.
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# 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],
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# 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 "Bilevel optimization: advances and next challenges," S. Dempe and A. Zemkoho, editors, 2020.
 
# 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].
 
# 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].
 
#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]
 
#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]
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==== '''Conference Proceedings''' ====
 
==== '''Conference Proceedings''' ====
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# 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
 
# 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.
 
# 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.
 
# 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.
 
# 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.
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==== '''Blogs and News''' ====
 
==== '''Blogs and News''' ====
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# 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,
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# 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.
−
2017.
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# 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.
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# 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.
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# Sven Leyffer. [http://www.mathopt.org/Optima-Issues/optima99.pdf It’s to Solve Problems: An Interview with Roger Fletcher]. OPTIMA 99, December 2015.
 
# 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.
 
# 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.
 
# 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.
 
# 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.
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==== '''Preprints''' ====
 
==== '''Preprints''' ====
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#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.
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# David Kiessling, Sven Leyffer, and Charlie Vanaret. [[Media:UNO-ISMP24.pdf|A Unified Funnel Restoration SQP Algorithm]], 2024.
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# Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. [[Media:RobustNLP.pdf|Nonlinear Robust Optimization]]. Preprint ANL/MCS-P9040-0218, Argonne National Laboratory, Mathematics and Computer Science Division, February, 2018.
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# Sven Leyffer and Charlie Vanaret. [[Media:UNO.pdf|Unifying Nonlinearly Constrained Nonconvex Optimization]], 2024.
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# Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. [[Media:Minotaur.pdf|Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit]]. Preprint ANL/MCS-P8010-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.
+
# 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.
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# 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.
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# 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.
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# 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.
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# 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.
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# 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.
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# 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.
 +
# 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.
 
# 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.
 
# 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.
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# Sven Leyffer and Charlie Vanaret. [[Media:AugLagFilNew.pdf|An Augmented Lagrangian Filter Method]]. Preprint ANL/MCS-P6082-1116, Argonne National Laboratory, Mathematics and Computer Science Division, November, 2016 (revised 2019).
 
 
# 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.
 
# 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.
 
# 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.
 
# 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.

Latest revision as of 15:45, 14 November 2024

Published Papers

  1. Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. Binary Quantum Control Optimization with Uncertain Hamiltonians. INFORMS J. Computing, online 2024. DOI:10.1287/ijoc.2024.0560.
  2. Minseok Ryu, Ahmed Attia, Arthur Barnes, Russell Bent, Sven Leyffer, Adam Mate. Heuristic algorithms for placing geomagnetically induced current blocking devices. Electric Power Systems Research. Volume 234, September 2024, 110645. DOI:10.1016/j.epsr.2024.110645.
  3. Tyler H. Chang, Layne T. Watson, Sven Leyffer, Thomas C. H. Lux, Hussain M. J. Almohri. Remark on Algorithm 1012: Computing projections with large data sets. ACM Trans. Math. Softw. April 2024. DOI:10.1145/3656581.
  4. Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, Siqian Shen. Switching Time Optimization for Binary Quantum Optimal Control. ACM Transactions on Quantum Computing (2023).
  5. Xinyu Fei, Lucas T. Brady, Jeffrey Larson, Sven Leyffer, and Siqian Shen. Binary Control Pulse Optimization for Quantum Systems. Quantum, volume 7, page 892 (2023). DOI:10.22331/q-2023-01-04-892.
  6. Jongeun Kim , Sven Leyffer , Prasanna Balaprakash. Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics. INFORMS J. Computing, 2023. DOI:10.1287/ijoc.2022.0050
  7. A. Attia, S. Leyffer, and T. Munson. Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments. SIAM J. Scientific Computing, 44(2), 2022. DOI:10.1137/21M1404363.
  8. Anna Thuenen, Sven Leyffer, and Sebastian Sager. State Elimination for Mixed-Integer Optimal Control of PDEs by Semigroup Theory. Optimal Control Applications and Methods, 2022. DOI:10.1002/oca.2861.
  9. Wenjing Wang, Mohan Krishnamoorthy, Juliane Muller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, and Zachary Marshall. BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators. SciPost Phys. Core 5, 001, DOI:10.21468/SciPostPhysCore.5.1.001, 2022.
  10. Ryan H. Vogt, Sven Leyffer, and Todd Munson. A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking. SIAM J. Scientific Compututing, 44(1), B29–B50. January 2022. DOI:10.1137/20M1315993 Supplementary Material: A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking
  11. Mirko Hahn, Sven Leyffer, and Sebastian Sager. Binary Optimal Control by Trust-Region Steepest Descent. Mathematical Programming (online first). DOI:10.1007/s10107-021-01733-z. January 2022.
  12. Fabian Gnegel, Armin Fügenschuh, Michael Hagel, Sven Leyffer, and Marcus Stiemer. A Solution Framework for Linear PDE-Constrained Mixed-Integer Problems. Mathematical Programming 118:695-728. DOI010.1007/s10107-021-01626-1, 2021.
  13. Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. Joint ptycho-tomography with deep generative priors. Machine Learning: Science and Technology, 2 045017, 2021. DOI:10.1088/2632-2153/ac1d35.
  14. Ron Shepard, Scott R. Brozell, Jeffrey Larson, Paul Hovland, and Sven Leyffer. Wave function analysis with a maximum flow algorithm. Molecular Physics, 119:13(e1861351), 2021. DOI:10.1080/00268976.2020.1861351.
  15. Noam Goldberg, Steffen Rebennack, Youngdae Kim, Vitaliy Krasko, and Sven Leyffer. MINLP formulations for continuous piecewise linear function fitting. Computational Optimization and Applications (2021). DOI:10.1007/s10589-021-00268-5.
  16. Sven Leyffer, Paul Manns, and Malte Winckler. Convergence of Sum-Up Rounding Schemes for the Electromagnetic Cloak Problem. Computational Optimization and Applications (2021). DOI:10.1007/s10589-020-00262-3.
  17. Ashutosh Mahajan, Sven Leyffer, Jeff Linderoth, James Luedtke, and Todd Munson. Minotaur: A Mixed-Integer Nonlinear Optimization Toolkit. Mathematical Programming Computation, November 2020. DOI:10.1007/s12532-020-00196-1
  18. Anthony P. Austina, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Muller, and Holger Schulz. Multivariate Rational Approximation. Computer Physics Communications, October 2020. DOI:10.1016/j.cpc.2020.107663
  19. Meenarli Sharma, Mirko Hahn, Sven Leyffer, Lars Ruthotto, and Bart van Bloemen Waanders. Inversion of Convection-Diffusion Equation with Discrete Sources. Optimization and Engineering, online first, July 2020. doi.org/10.1007/s11081-020-09536-5
  20. Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, and Doga Gursoy. Deep Priors for Ptycho-tomography. Microscopy and Microanalysis" 26 (S2) (2020): 2466-2466. DOI:10.1017/S1431927620021686
  21. Sven Leyffer and Charlie Vanaret. An Augmented Lagrangian Filter Method. Mathematical Methods of Operations Research, 92(2), 343-376, 2020. DOI:10.1007/s00186-020-00713-x.
  22. Sven Leyffer, Matt Menickelly, Todd Munson, Charlie Vanaret, and Stefan M. Wild. Nonlinear Robust Optimization. INFOR: Information Systems and Operational Research, 58(2):342-373, 2020. DOI:10.1080/03155986.2020.1730676,
  23. Youngdae Kim, Sven Leyffer, and Todd Munson. MPEC methods for bilevel optimization problems. Argonne National Laboratory, MCS Division Preprint, ANL/MCS-P9195-0719. July 2019. to appear in "Bilevel optimization: advances and next challenges," S. Dempe and A. Zemkoho, editors, 2020.
  24. 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. 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). DOI:10.11578/dc.20190513.3.
  25. 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). DOI:10.1364/OSAC.2.002948
  26. Wendy Di, Si Chen, Doga Gursoy, Tatjana Paunesku, Sven Leyffer, Stefan Wild, and Stefan Vogt. Optimization-based simultaneous alignment and reconstruction in multi-element tomography. Optics Letters 44(17):4331-4334 (2019) DOI:10.1364/OL.44.004331
  27. Anthony P. Austin, Zichao Wendy Di, Sven Leyffer, Stefan M. Wild. 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.
  28. Selin Aslan, Viktor Nikitin, Daniel J. Ching, Tekin Bicer, Sven Leyffer, and Doğa Gürsoy. Joint ptycho-tomography reconstruction through alternating direction method of multipliers. Optics Express Vol. 26, Issue 6, pp.9128-9143 (2019) DOI:10.1364/OE.27.009128.
  29. Zichao (Wendy) Di, Si Chen, Young Pyo Hong, Chris Jacobsen, Sven Leyffer, and Stefan M. Wild. Joint Reconstruction of X-Ray Fluorescence and Transmission Tomography. Optics Express Vol. 25, Issue 12, pp.13107-13124 (2017). DOI:10.1364/OE.25.013107.
  30. Michael S. Scioletti, Alexandra M. Newman, Johanna K. Goodman, Alexander J. Zolan, and Sven Leyffer. 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.
  31. Fu Lin, Sven Leyffer, and Todd Munson. 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, DOI: 10.1007/s10589-016-9842-0 (online first).
  32. Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities. SIAM J. Imaging Sciences, 9(1), 1-23, 2016.
  33. Noam Goldberg, Sven Leyffer, and Ilya Safro. Optimal Response to Epidemics and Cyber Attacks in Networks. Networks, 66(2), June 2015. DOI: 10.1002/net.21619.
  34. Ashish Tripathi, Sven Leyffer, Todd Munson, and Stefan M. Wild. Visualizing and Improving the Robustness of Phase Retrieval Algorithms. Procedia Computer Science, 51:815-824, 2015. DOI:10.1016/j.procs.2015.05.205.
  35. Noam Goldberg and Sven Leyffer. Active Set Method for Second-Order Conic-Constrained Quadratic Programming. SIAM J. Optimization, 25(3), 2015. DOI:10.1137/140958025
  36. Noam Goldberg, Youngdae Kim, Sven Leyffer, and Thomas Veselka. Adaptively Refined Dynamic Program for Linear Spline Regression. Computational Optimization and Applications, 58(3):523-541, 2014.
  37. Rachel Mak, Mirna Lerotic, Holger Fleckenstein, Stefan Vogt, Stefan M. Wild, Sven Leyffer, Yefim Sheynkin, and Chris Jacobsen. Non-negative matrix analysis for effective feature extraction in x-ray spectromicroscopy. Faraday Discussions, DOI: 10.1039/C4FD00023D, 2014, 171, 357.
  38. 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. Addressing Failures in Exascale Computing. International Journal of High Performance Computing Applications 1094342014522573, first published on March 21, 2014 as doi:10.1177/1094342014522573.
  39. Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets. Journal of Synchrotron Radiation, 21, 568-579, 2014. https://doi.org/10.1107/S1600577514001416
  40. Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. On branching rules for convex mixed-integer nonlinear optimization. Journal of Experimental Algorithmics (JEA), 18, 2013.
  41. Kristopher A. Pruitt, Sven Leyffer, Alexandra M. Newman, and Robert J. Braun. A mixed-integer nonlinear program for the optimal design and dispatch of distributed generation systems. Optimization and Engineering, DOI 10.1007/s11081-013-9226-6, August 2013.
  42. Sven Leyffer and Ilya Safro. Fast Response to Infection Spread and Cyber Attacks on Large-Scale Networks, Journal of Complex Networks, DOI: 10.1093/comnet/cnt009, July 2013.
  43. Christian Kirches and Sven Leyffer. TACO-A Toolkit for AMPL Control Optimization. Mathematical Programming Computation, 1-39, DOI 10.1007/s12532-013-0054-7, April 2013.
  44. Pietro Belotti, Christian Kirches, Sven Leyffer, Jeff Linderoth, Jim Luedtke, and Ashutosh Mahajan. Mixed-Integer Nonlinear Optimization. Acta Numerica 22:1-131, 2013. DOI: http://dx.doi.org/10.1017/S0962492913000032
  45. Christian Kirches, Hans Georg Bock, and Sven Leyffer, Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL, Mathematical Modelling, 7(1):1124-1129, 2012.
  46. Chungen Chen, Roger Fletcher, and Sven Leyffer. A Nonmonotone Filter Method for Nonlinear Optimization. Computational Optimization and Applications, 52(3):583-607, 2012. DOI: 10.1007/s10589-011-9430-2.
  47. Andres Guerra, Alexandra M. Newman, and Sven Leyffer. Concrete Structure Design Using Mixed-Integer Nonlinear Programming with Complementarity Constraints. SIAM J. Optimization, 21(3):833-863, 2011.
  48. Mine Altunay, Sven Leyffer, Jeffrey T. Linderoth, and Zhen Xie. Optimal Security Response to Attacks on Open Science Grids. Computer Networks, 55(1):61-73, 2011. DOI:10.1016/j.comnet.2010.07.012.
  49. Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. 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.
  50. Sven Leyffer and Ashutosh Mahajan. 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 & Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0630.
  51. Sven Leyffer and Ashutosh Mahajan. 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 & Sons, Inc. 2010. DOI: 10.1002/9780470400531.eorms0570.
  52. Donald A. Hanson, Yaroslav Kryukov, Sven Leyffer, and Todd S. Munson. Optimal control model of technology transition. International Journal of Global Energy Issues, 33(3-4):154-175, 2010. DOI: 10.1504/IJGEI.2010.036954
  53. Fengqi You and Sven Leyffer, Oil Spill Response Planning with MINLP, SIAG/OPT Views-and-News, 21(2):1-8, 2010.
  54. Fengqi You and Sven Leyffer, Mixed-Integer Dynamic Optimization for Oil-Spill Response Planning with Integration of a Dynamic Oil Weathering Model, Preprint ANL/MCS-P1794-1010. AIChe Journal, 57(12):3555–3564, 2011. DOI: 10.1002/aic.12536.
  55. Ryan Miller, Zhen Xie, Sven Leyffer, Michael Davis, Stephen Gray. Surrogate-Based Modeling of the Optical Response of Metallic Nanostructures, J. Phys. Chem. C, 114 (48), 20741-20748, 2010. DOI:10.1021/jp1067632.
  56. Haw-ren Fang, Sven Leyffer, and Todd S. Munson. A Pivoting Algorithm for Linear Programs with Complementarity Constraints. Optimization Methods and Software, 27(1):89-114, 2012. DOI: 10.1080/10556788.2010.512956.
  57. Kumar Abhishek, Sven Leyffer, and Jeffrey T. Linderoth. Modeling without Categorical Variables: A Mixed-Integer Nonlinear Program for the Optimization of Thermal Insulation Systems. Optimization and Engineering, 11(2):185-212, 2010.
  58. S. Leyffer and T. S. Munson. Solving multi-leader-common-follower games. Optimization Methods and Software, 25(4):601-623, 2010.
  59. Joana Maria, Tu T. Truong, Jimin Yao, Tae-Woo Lee, Ralph G. Nuzzo, Sven Leyffer, Stephen K. Gray, and John A. Rogers. Optimization of 3D Plasmonic Crystal Structures for Refractive Index Sensing. Journal of Physical Chemistry C, 113 (24):10493–10499, 2009.
  60. S. Leyffer. A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems. INFORMS Journal on Computing, 21(2):257-267, 2009.
  61. M.P. Friedlander and S. Leyffer. 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.
  62. R. Fletcher, S. Leyffer and Ph. L. Toint. A Brief History of Filter Methods. SIAG/Optimization Views-and-News, 18(1):2-12, 2007.
  63. B. Addis and S. Leyffer. A trust-region algorithm for global optimization. Computational Optimization and Applications, 35(3):287-304, 2006.
  64. S. Leyffer, G. Lopez-Calva and J. Nocedal. Interior methods for mathematical programs with complementarity constraints. SIAM Journal on Optimization, 17(1): 52–77, 2006.
  65. Y. Chen, B. F. Hobbs, S. Leyffer, and T. S. Munson. Leader-follower equilibria for electric power and NOx allowances markets. Computational Management Science, 3(4):307-330, 2006.
  66. S. Leyffer. 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.
  67. R. Fletcher, S. Leyffer, D. Ralph, and S. Scholtes. Local convergence of SQP methods for mathematical programs with equilibrium constraints. SIAM Journal Optimization, 17(1):259–286, 2006.
  68. S. Leyffer. The penalty interior point method fails to converge. Optimization Methods and Software, 20(4-5):559-568, 2005.
  69. N. I. M. Gould, S. Leyffer, and Ph. L. Toint. A multidimensional filter algorithm for nonlinear equations and nonlinear least squares. SIAM J. Optimization, 15:17–38, 2004.
  70. R. Fletcher and S. Leyffer. Solving mathematical program with complementarity constraints as nonlinear programs. Optimization Methods and Software, 19(1):15–40, 2004.
  71. J. S. Pang and S. Leyffer. On the global minimization of the value-at-risk. Optimization Methods and Software, 19(5):611–631, 2004.
  72. N. I. M. Gould and S. Leyffer. 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.
  73. A. Altay-Salih, M. C. Pinar, and S. Leyffer. Constrained nonlinear programming for volatility estimation with GARCH models. SIAM Review, 45(3):485 – 503, 2003.
  74. 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.
  75. S. Leyffer. Mathematical programs with complementarity constraints. SIAG/OPTViews-and-News, 14(1):15–18, 2003.
  76. R. Fletcher, N. I. M. Gould, S. Leyffer, Ph. L. Toint, and A. W¨achter. Global convergence of trust-region SQP-filter algorithms for general nonlinear programming. SIAM J. Optimization, 13(3):635–659, 2002.
  77. R. Fletcher, S. Leyffer, and Ph. L. Toint. On the global convergence of a filter-SQP algorithm. SIAM J. Optimization, 13(1):44–59, 2002.
  78. R. Fletcher and S. Leyffer. Nonlinear programming without a penalty function. Mathematical Programming, 91:239–270, 2002.
  79. J.-P. Goux and S. Leyffer. Solving large MINLPs on computational grids. Optimization and Engineering, 3:327–346, 2002.
  80. S. Leyffer. Generalized outer approximation. In C. A. Floudas and P. M. Pardalos, editors, Encyclopedia of Optimization, volume 2, pages 247–254. Kluwer, 2001.
  81. S. Leyffer. Integrating SQP and branch-and-bound for mixed integer nonlinear programming. Computational Optimization & Applications, 18:295–309, 2001.
  82. H. Skrifvars, S. Leyffer and T. Westerlund. Comparison of Certain MINLP Algorithms When Applied to a Model Structure Determination and Parameter Estimation Problem, Computers & Chemical Engineering 22(12), pp. 1829-1835, 1998.
  83. R. Fletcher and S. Leyffer. Numerical Experience with lower bounds for MIQP branch--and--bound, SIAM J. Optimization 8(2), pp. 604-616, 1998.
  84. 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.
  85. R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, Mathematical Programming 66, pages 327--349, 1994

Conference Proceedings

  1. Mohan Krishnamoorthy, Holger Schulz, Xiangyang Ju, Wenjing Wang, Sven Leyffer, Zachary Marshall, Stephen Mrenna, Juliane Müller and James B. Kowalkowski. 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
  2. Sven Leyffer, Bart van Bloemen Waanders, Mirko Hahn, Todd Munson, Lars Ruthotto, Meenarli Sharma, Ryan Vogt. Mixed-Integer PDE-Constrained Optimization. Oberwolfach Report 2019-26, June 2019.
  3. Anthony Austin, Sven Leyffer, Steven Mrenna, Juliane Mueller, and Holger Schulz. Teaching PROFESSOR new math. CHEP 2018. 23rd International Conference on Computing in High Energy and Nuclear Physics, 2018.
  4. Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, and Ian Foster. 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.
  5. Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna Palem, Marc Snir, Stefan M. Wild, and Christian Enz. Overcoming the Power Wall by Exploiting Inexactness and Emerging COTS Architectural Features. IEEE SOCC 2016.
  6. Sven Leyffer, Pelin Cay, Drew Kouri, and Bart van Bloemen Waanders, Mixed-Integer PDE-Constrained Optimization. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P5429-1015, November 2015. Oberwolfach Reports (OWR).
  7. 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.
  8. Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In SuperComputing 2013, 2013.
  9. 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. DOI=10.1145/2503385.2503481, 2013.
  10. Noam Goldberg, Sven Leyffer, and Todd Munson. 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.
  11. Yuri Alexeev, Ashutosh Mahajan, Sven Leyffer, Graham Fletcher, and Dmitri G. Fedorov. Heuristic Static Load-Balancing Algorithm Applied to the Fragment Molecular Orbital Method, SC12, November 10-16, 2012, Salt Lake City, Utah, USA.
  12. Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M. Constantinescu, Mihai Anitescu, and Guenter Conzelmann. Proactive Energy Management for Next-Generation Building Systems. SimBuild 2010, August 11-13, 2010.
  13. Sven Leyffer Experiments with MINLP Branching Techniques. European Workshop on Mixed Integer Nonlinear Programming, April 2010.
  14. Wei Guan, Alexander Gray, and Sven Leyffer. Mixed-Integer Support Vector Machine, OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.
  15. Sven Leyffer, Jeff Linderoth, James Luedtke, Andrew Miller, and Todd Munson. Applications and Algorithms for Mixed Integer Nonlinear Programming. Journal of Physics: Conference Series, 180:012014, SciDAC 2009.
  16. S. Leyffer. The Return of the Active Set Method, Oberwolfach Reports 2(1), 2005.
  17. J.P. Bardhan, J.H. Lee, M.D. Altman, S. Leyffer, S. Benson, B. Tidor and J.K. White. Biomolecule Electrostatic Optimization with an Implicit Hessian, Nanotech 2004 Vol. 1, 2004.

White Papers

  1. Sven Leyffer, Daniel R. Reynolds, Daniel M Tartakovsky, and Carol S. Woodward. Control and Design of Multiscale Systems, DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.
  2. Mihai Anitescu, Sven Leyffer, Todd Munson, and Stefan Wild. Design, Optimization, and Control of Complex Interconnected Systems (DocSis), DOE-ASCR Applied Mathematics PI Meeting White Paper, September 2017.
  3. 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.

Blogs and News

  1. Alejandro Aceves, Hans Kaper, and Sven Leyffer. Addressing Climate Change, Boosting Environmental Resilience, and Advancing Clean Energy. SIAM News, October 2021.
  2. Giacomo Nannicini, Swati Gupta, Sven Leyffer, Jim Ostrowski, and Luis F. Zuluaga. OR/MS Education and Quantum Computing, OR/MS Today, August 2021.
  3. Sven Leyffer. Nonlinear Optimization and Beyond. INFORMS Optimization Society Newsletter, 7(2):3–11, 2017.
  4. Sven Leyffer. It’s to Solve Problems: An Interview with Roger Fletcher. OPTIMA 99, December 2015.
  5. Sven Leyffer. Writing for Success: Applying for Funding, in SIAM Blogs, November, 2014.
  6. Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians. SIAM News, 46(10), 2013.

Books

MINLP-Book.jpg
  1. Jon Lee and Sven Leyffer (Eds). Mixed Integer Nonlinear Programming, in The IMA Volumes in Mathematics and its Applications, Vol. 154, Springer, 2012.

Edited Volumes

  1. S. Leyffer. Volume 22, No. 2, May, 2011 'SIAM OP11'
  2. S. Leyffer. Volume 22, No. 1, March, 2011. 'Integer and Nonlinear Optimization'
  3. S. Leyffer. Volume 21, No. 2, December, 2010. 'Environmental Optimization'
  4. S. Leyffer. Volume 21, No. 1, October, 2010.
  5. S. Leyffer. SIAG/OPT Views-and-News 20(1), December, 2009, 'The Public Side Of Optimization'
  6. S. Leyffer. SIAG/OPT Views-and-News 19(2), December, 2008, SIAM OP08
  7. S. Leyffer and J. Moré. Deterministic Global Optimization and Applications, Mathematical Programming, Series B (online first), 2005.
  8. N. I. M. Gould, S. Leyffer, and Ph. L. Toint. Large Scale Nonconvex Optimization Algorithms and Applications. Mathematical Programming, Series B 100(1), 2004.
  9. S. Leyffer and J. Nocedal. Large Scale Nonconvex Optimization, SIAG/Optimization Views-and-News 14(1), 2003.

Preprints

  1. David Kiessling, Sven Leyffer, and Charlie Vanaret. A Unified Funnel Restoration SQP Algorithm, 2024.
  2. Sven Leyffer and Charlie Vanaret. Unifying Nonlinearly Constrained Nonconvex Optimization, 2024.
  3. Robert Baraldi, Sven Leyffer,and Stefan Wild. Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems, 2024.
  4. Ahmed Attia, Sven Leyffer, Todd Munson. Robust A-Optimal Experimental Design for Bayesian Inverse Problems. arXiv:2305.0385 [math.OC], 2023.
  5. Paul Manns, Mirko Hahn, Christian Kirches, Sven Leyffer, Sebastian Sager. On structural similarities of combinatorial integral approximation and binary trust-region steepest descent. arXiv:2202.07934 [math.OC], 2022.
  6. Sven Leyffer and Paul Manns. Sequential Linear Integer Programming for Integer Optimal Control with Total Variation Regularization. arXiv:2106.13453 [math.OC], 2021.
  7. S. Aslan, Z. Liu, V. Nikitin, T. Bicer, S. Leyffer, and D. Gursoy. Distributed optimization with tunable learned priors for robust ptycho-tomography. arXiv:2009.09498 [eess.IV], 2020.
  8. J. J. Brust, S. Leyffer, and C. G. Petra. Compact Representations of BFGS Matrices. Argonne National Laboratory, MCS Division Preprint ANL/MCS-P9279-0120. January 2020.
  9. Brian Dandurand, Kibaek Kim, and Sven Leyffer. A Lagrangian Dual Approach for Identifying the Worst Contingencies in Power Systems. Argonne National Laboratory, MCS Division Preprint. July 2019.
  10. Jeffrey Larson, Sven Leyffer, Prashant Palkar and Stefan Wild. A Method for Convex Black-Box Integer Global Optimization and Supplementary Material. Argonne National Laboratory, MCS Division Preprint. February 2019.
  11. Mirko Hahn, Sven Leyffer, and Victor M. Zavala. Mixed-Integer PDE-Constrained Optimal Control of Gas Networks. Preprint ANL/MCS-P7095-0817, Argonne National Laboratory, Mathematics and Computer Science Division, August, 2017.
  12. 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. arxiv.org/abs/1610.02606. October 2016.
  13. Fu Lin, Zichao Di, and Sven Leyffer. A Multilevel Approach to Class of Semidefinite Programs. Preprint ANL/MCS-P5402-0915, Argonne National Laboratory, Mathematics and Computer Science Division, September, 2015.
  14. Fu Lin and Sven Leyffer. Oscillation Mitigation in Electric Power Grids via Semidefinite Programming. Preprint ANL/MCS-P5345-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.
  15. Kathrin Hatz, Sven Leyffer, Johannes P. Schl?oeder, and Hans Georg Bock. Regularizing Bilevel Nonlinear Programs by Lifting. Preprint ANL/MCS-P4076-0613, Argonne National Laboratory, Mathematics and Computer Science Division, June 2013.
  16. Ashutosh Mahajan, Sven Leyffer, and Christian Kirches. Solving Mixed-Integer Nonlinear Programs by QP-Diving. Preprint ANL/MCS-2071-0312, Argonne National Laboratory, Mathematics and Computer Science Division, March 2012.
  17. Sven Leyffer, Annick Sartenaer, and Emilie Wanufelle. Branch-and-Refine for Mixed-Integer Nonconvex Global Optimization. Preprint ANL/MCS-P1547-0908, Argonne National Laboratory, Mathematics and Computer Science Division, September 2008.
  18. Sven Leyffer. A Filter Active-Set Trust-Region (FASTr) Framework. Technical Memorandum ANL/MCS-TM-298, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.
  19. Sven Leyffer and Todd S. Munson. A Globally Convergent Filter Method for MPECs. Preprint ANL/MCS-P1457-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.
  20. Michael P. Friedlander, Nick I. M. Gould, Sven Leyffer, and Todd S. Munson. A Filter Active-Set Trust-Region Method. Preprint ANL/MCS-P1456-0907, Argonne National Laboratory, Mathematics and Computer Science Division, September 2007.
  21. R. Fletcher and S. Leyffer. A bundle filter method for nonsmooth nonlinear optimization, University of Dundee Numerical Analysis Report NA\195 , (December, 1999).
  22. A. Grothey, S. Leyffer, and K.I.M. McKinnon. A note on feasibility in Benders decomposition. University of Dundee Numerical Analysis Report NA\188, (January, 1999).
  23. R. Fletcher, S. Leyffer, and Ph.L. Toint , On the Global Convergence of an SLP-Filter Algorithm, Dundee Numerical Analysis Report NA/183, 1998.
  24. R. Fletcher and S. Leyffer. User manual for filterSQP, University of Dundee Numerical Analysis Report NA\181, (April, 1998).
  25. S. Leyffer. Deterministic Methods for Mixed Integer Nonlinear Programming. Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.

Google Scholar Profile

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