Sven Leyffer's Publications

Published Papers

1. Noam Goldberg and Sven Leyffer. Active Set Method for Second-Order Conic-Constrained Quadratic Programming. SIAM J. Optimization, 25(3), 2015. [1]
2. 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.
3. 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..
4. 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.
5. Siwei Wang, Jesse Ward, Sven Leyffer, Stefan M. Wild, Chris Jacobsen, and Stefan Vogt. Unsupervised Cell Identification on Multidimensional X-Ray Fluorescence Datasets. Preprint ANL/MCS-P4065-0413, Argonne National Laboratory, Mathematics and Computer Science Division, April 2013, to appear in Journal of Synchrotron Radiation, 2014.
6. Pierre Bonami, Jon Lee, Sven Leyffer, Andreas Waechter. On branching rules for convex mixed-integer nonlinear optimization. Journal of Experimental Algorithmics (JEA), 18, 2013.
7. 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.
8. 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.
9. 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.
10. 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
11. Christian Kirches, Hans Georg Bock, and Sven Leyffer, Modeling Mixed-Integer Constrained Optimal Control Problems in AMPL, Mathematical Modelling, 7(1):1124-1129, 2012.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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
19. Fengqi You and Sven Leyffer, Oil Spill Response Planning with MINLP, SIAG/OPT Views-and-News, 21(2):1-8, 2010.
20. 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.
21. 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.
22. 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.
23. 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.
24. S. Leyffer and T. S. Munson. Solving multi-leader-common-follower games. Optimization Methods and Software, 25(4):601-623, 2010.
25. 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.
26. S. Leyffer. A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems. INFORMS Journal on Computing, 21(2):257-267, 2009.
27. 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.
28. R. Fletcher, S. Leyffer and Ph. L. Toint. A Brief History of Filter Methods. SIAG/Optimization Views-and-News, 18(1):2-12, 2007.
29. B. Addis and S. Leyffer. A trust-region algorithm for global optimization. Computational Optimization and Applications, 35(3):287-304, 2006.
30. 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.
31. 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.
32. 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.
33. 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.
34. S. Leyffer. The penalty interior point method fails to converge. Optimization Methods and Software, 20(4-5):559-568, 2005.
35. 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.
36. R. Fletcher and S. Leyffer. Solving mathematical program with complementarity constraints as nonlinear programs. Optimization Methods and Software, 19(1):15–40, 2004.
37. J. S. Pang and S. Leyffer. On the global minimization of the value-at-risk. Optimization Methods and Software, 19(5):611–631, 2004.
38. 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.
39. 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.
40. 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.
41. S. Leyffer. Mathematical programs with complementarity constraints. SIAG/OPTViews-and-News, 14(1):15–18, 2003.
42. 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.
43. 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.
44. R. Fletcher and S. Leyffer. Nonlinear programming without a penalty function. Mathematical Programming, 91:239–270, 2002.
45. J.-P. Goux and S. Leyffer. Solving large MINLPs on computational grids. Optimization and Engineering, 3:327–346, 2002.
46. S. Leyffer. Generalized outer approximation. In C. A. Floudas and P. M. Pardalos, editors, Encyclopedia of Optimization, volume 2, pages 247–254. Kluwer, 2001.
47. S. Leyffer. Integrating SQP and branch-and-bound for mixed integer nonlinear programming. Computational Optimization & Applications, 18:295–309, 2001.
48. 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.
49. R. Fletcher and S. Leyffer. Numerical Experience with lower bounds for MIQP branch--and--bound, SIAM J. Optimization 8(2), pp. 604-616, 1998.
50. 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.
51. R. Fletcher and S. Leyffer. Solving Mixed Integer Nonlinear Programs by outer approximation, Mathematical Programming 66, pages 327--349, 1994

Conference Proceedings

1. Yuri Alexeev, Sheri Mickelson, Sven Leyffer, Robert Jacob, and Anthony Craig. The Heuristic Static Load-Balancing Algorithm Applied to CESM. In SuperComputing 2013, 2013.
2. 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.
3. 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.
4. 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.
5. 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.
6. Sven Leyffer Experiments with MINLP Branching Techniques. European Workshop on Mixed Integer Nonlinear Programming, April 2010.
7. Wei Guan, Alexander Gray, and Sven Leyffer. Mixed-Integer Support Vector Machine, OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, 2009.
8. 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.
9. S. Leyffer. The Return of the Active Set Method, Oberwolfach Reports 2(1), 2005.
10. 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.

Blogs

1. Sven Leyffer. Writing for Success: Applying for Funding, in SIAM Blogs, November, 2014.

Books

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.

Other Publications

1. Jeffrey Hittinger, Sven Leyffer, and Jack Dongarra. Models and Algorithms for Exascale Computing Pose Challenges for Applied Mathematicians. SIAM News, 46(10), 2013.

Preprints

1. 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.
2. Zichao (Wendy) Di, Sven Leyffer, and Stefan M. Wild. Optimization-Based Approach for Tomographic Inversion from Multiple Data Modalities. Preprint ANL/MCS-P5327-0415, Argonne National Laboratory, Mathematics and Computer Science Division, May 2015.
3. 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.
4. 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.
5. Noam Goldberg, Sven Leyffer, and Ilya Safro. Optimal Response to Epidemics and Cyber Attacks in Networks. Preprint ANL/MCS-P1992-0112, Argonne National Laboratory, Mathematics and Computer Science Division, January 2012.
6. 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.
7. 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.
8. 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.
9. 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.
10. R. Fletcher and S. Leyffer. A bundle filter method for nonsmooth nonlinear optimization, University of Dundee Numerical Analysis Report NA\195 , (December, 1999).
11. 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).
12. R. Fletcher, S. Leyffer, and Ph.L. Toint , On the Global Convergence of an SLP-Filter Algorithm, Dundee Numerical Analysis Report NA/183, 1998.
13. R. Fletcher and S. Leyffer. User manual for filterSQP, University of Dundee Numerical Analysis Report NA\181, (April, 1998).
14. S. Leyffer. Deterministic Methods for Mixed Integer Nonlinear Programming. Ph.D. thesis, University of Dundee, Dundee, Scotland, UK, December 1993.

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