Solving mixed integer nonlinear programs by outer approximation. - Roger Fletcher; Sven Leyffer (Math. Program., 1994)

Numerical Experience with Lower Bounds for MIQP Branch-And-Bound. - Roger Fletcher; Sven Leyffer (SIAM J. Optim., 1998)

Integrating SQP and Branch-and-Bound for Mixed Integer Nonlinear Programming. - Sven Leyffer (Comput. Optim. Appl., 2001)

Nonlinear programming without a penalty function. - Roger Fletcher; Sven Leyffer (Math. Program., 2002)

Global Convergence of a Trust-Region SQP-Filter Algorithm for General Nonlinear Programming. - Roger Fletcher; Nicholas I. M. Gould; Sven Leyffer; Philippe L. Toint; Andreas Wächter (SIAM J. Optim., 2002)

On the Global Convergence of a Filter–SQP Algorithm. - Roger Fletcher; Sven Leyffer; Philippe L. Toint (SIAM J. Optim., 2002)

Constrained Nonlinear Programming for Volatility Estimation with GARCH Models. - Aslihan Altay-Salih; Mustafa Ç. Pinar; Sven Leyffer (SIAM Rev., 2003)

Nonlinear programming: theory and practice. - Nick I. M. Gould; Sven Leyffer; Philippe L. Toint (Math. Program., 2004)

Solving mathematical programs with complementarity constraints as nonlinear programs. - Roger Fletcher; Sven Leyffer (Optim. Methods Softw., 2004)

On the global minimization of the value-at-risk. - Jong-Shi Pang; Sven Leyffer (Optim. Methods Softw., 2004)

A Multidimensional Filter Algorithm for Nonlinear Equations and Nonlinear Least-Squares. - Nicholas I. M. Gould; Sven Leyffer; Philippe L. Toint (SIAM J. Optim., 2004)

Foreword: Special Issue on Deterministic Global Optimization and Applications. - Sven Leyffer; Jorge J. Moré (Math. Program., 2005)

The penalty interior-point method fails to converge. - Sven Leyffer (Optim. Methods Softw., 2005)

Leader-Follower Equilibria for Electric Power and NO x Allowances Markets. - Yihsu Chen; Benjamin F. Hobbs; Sven Leyffer; Todd S. Munson (Comput. Manag. Sci., 2006)

A Trust-Region Algorithm for Global Optimization. - Bernardetta Addis; Sven Leyffer (Comput. Optim. Appl., 2006)

Local Convergence of SQP Methods for Mathematical Programs with Equilibrium Constraints. - Roger Fletcher; Sven Leyffer; Danny Ralph; Stefan Scholtes (SIAM J. Optim., 2006)

Interior Methods for Mathematical Programs with Complementarity Constraints. - Sven Leyffer; Gabriel López-Calva; Jorge Nocedal (SIAM J. Optim., 2006)

Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs. - Michael P. Friedlander; Sven Leyffer (SIAM J. Sci. Comput., 2008)

A Complementarity Constraint Formulation of Convex Multiobjective Optimization Problems. - Sven Leyffer (INFORMS J. Comput., 2009)

Generalized Outer Approximation. - Sven Leyffer (Encyclopedia of Optimization, 2009)

FilMINT: An Outer Approximation-Based Solver for Convex Mixed-Integer Nonlinear Programs. - Kumar Abhishek; Sven Leyffer; Jeff T. Linderoth (INFORMS J. Comput., 2010)

Solving multi-leader-common-follower games. - Sven Leyffer; Todd S. Munson (Optim. Methods Softw., 2010)

Optimal response to attacks on the open science grid. - Mine Altunay; Sven Leyffer; Jeffrey T. Linderoth; Zhen Xie (Comput. Networks, 2011)

Concrete Structure Design using Mixed-Integer Nonlinear Programming with Complementarity Constraints. - Andres Guerra; Alexandra M. Newman; Sven Leyffer (SIAM J. Optim., 2011)

Special Section: 2010 Copper Mountain Conference. - Ray Tuminaro; Michele Benzi; Xiao-Chuan Cai; Iain Duff; Howard C. Elman; Roland Freund; Kirk E. Jordan; Tim Kelley; David E. Keyes; Misha Elena Kilmer; Sven Leyffer; Tom Manteuffel; et al. (SIAM J. Sci. Comput., 2011)

Heuristic static load-balancing algorithm applied to the fragment molecular orbital method. - Yuri Alexeev; Ashutosh Mahajan; Sven Leyffer; Graham Fletcher; Dmitri G. Fedorov (SC, 2012)

A nonmonotone filter method for nonlinear optimization. - Chungen Shen; Sven Leyffer; Roger Fletcher (Comput. Optim. Appl., 2012)

A pivoting algorithm for linear programming with linear complementarity constraints. - Haw-ren Fang; Sven Leyffer; Todd S. Munson (Optim. Methods Softw., 2012)

A New Perspective on Convex Relaxations of Sparse SVM. - Noam Goldberg; Sven Leyffer; Todd S. Munson (SDM, 2013)

Unsupervised cell identification on multidimensional X-ray fluorescence datasets. - Siwei Wang 008; Jesse Ward; Sven Leyffer; Stefan M. Wild; Chris Jacobsen; Stefan Vogt (SIGGRAPH Posters, 2013)

Mixed-integer nonlinear optimization. - Pietro Belotti; Christian Kirches; Sven Leyffer; Jeff T. Linderoth; James R. Luedtke; Ashutosh Mahajan (Acta Numer., 2013)

Fast response to infection spread and cyber attacks on large-scale networks. - Sven Leyffer; Ilya Safro (J. Complex Networks, 2013)

On branching rules for convex mixed-integer nonlinear optimization. - Pierre Bonami; Jon Lee 001; Sven Leyffer; Andreas Wächter (ACM J. Exp. Algorithmics, 2013)

TACO: a toolkit for AMPL control optimization. - Christian Kirches; Sven Leyffer (Math. Program. Comput., 2013)

The Heuristic Static Load-Balancing Algorithm Applied to the Community Earth System Model. - Yuri Alexeev; Sheri A. Mickelson; Sven Leyffer; Robert L. Jacob; Anthony P. Craig (IPDPS Workshops, 2014)

Machine-Learning-Based Load Balancing for Community Ice Code Component in CESM. - Prasanna Balaprakash; Yuri Alexeev; Sheri A. Mickelson; Sven Leyffer; Robert L. Jacob; Anthony P. Craig (VECPAR, 2014)

Adaptively refined dynamic program for linear spline regression. - Noam Goldberg; Youngdae Kim; Sven Leyffer; Thomas D. Veselka (Comput. Optim. Appl., 2014)

Addressing failures in exascale computing. - Marc Snir; Robert W. Wisniewski; Jacob A. Abraham; Sarita V. Adve; Saurabh Bagchi; Pavan Balaji; James F. Belak; Pradip Bose; Franck Cappello; Bill Carlson; Andrew A. Chien; Paul Coteus; et al. (Int. J. High Perform. Comput. Appl., 2014)

Visualizing and Improving the Robustness of Phase Retrieval Algorithms. - Ashish Tripathi; Sven Leyffer; Todd S. Munson; Stefan M. Wild (ICCS, 2015)

Optimal scheduling of in-situ analysis for large-scale scientific simulations. - Preeti Malakar; Venkatram Vishwanath; Todd S. Munson; Christopher Knight 001; Mark Hereld; Sven Leyffer; Michael E. Papka (SC, 2015)

Optimal response to epidemics and cyber attacks in networks. - Noam Goldberg; Sven Leyffer; Ilya Safro (Networks, 2015)

An Active-Set Method for Second-Order Conic-Constrained Quadratic Programming. - Noam Goldberg; Sven Leyffer (SIAM J. Optim., 2015)

A multilevel approach for a class of semidefinite programs. - Fu Lin; Zichao (Wendy) Di; Sven Leyffer (ACC, 2016)

Overcoming the power wall by exploiting inexactness and emerging COTS architectural features: Trading precision for improving application quality. - Mike Fagan; Jeremy Schlachter; Kazutomo Yoshii; Sven Leyffer; Krishna V. Palem; Marc Snir; Stefan M. Wild; Christian C. Enz (SoCC, 2016)

A two-level approach to large mixed-integer programs with application to cogeneration in energy-efficient buildings. - Fu Lin; Sven Leyffer; Todd S. Munson (Comput. Optim. Appl., 2016)

Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. - Sven Leyffer; Stefan M. Wild; Mike Fagan; Marc Snir; Krishna V. Palem; Kazutomo Yoshii; Hal Finkel (CoRR, 2016)

Optimization-Based Approach for Joint X-Ray Fluorescence and Transmission Tomographic Inversion. - Zichao (Wendy) Di; Sven Leyffer; Stefan M. Wild (SIAM J. Imaging Sci., 2016)

A Mathematical Programming- and Simulation-Based Framework to Evaluate Cyberinfrastructure Design Choices. - Zhengchun Liu; Rajkumar Kettimuthu; Sven Leyffer; Prashant Palkar; Ian T. Foster (eScience, 2017)

Multivariate Rational Approximation. - Anthony P. Austin; Mohan Krishnamoorthy; Sven Leyffer; Stephen Mrenna; Juliane Müller 002; Holger Schulz (CoRR, 2019)

Simultaneous Sensing Error Recovery and Tomographic Inversion Using an Optimization-Based Approach. - Anthony P. Austin; Zichao Wendy Di; Sven Leyffer; Stefan M. Wild (SIAM J. Sci. Comput., 2019)

Pufferscale: Rescaling HPC Data Services for High Energy Physics Applications. - Nathanaël Cheriere; Matthieu Dorier; Gabriel Antoniu; Stefan M. Wild; Sven Leyffer; Robert B. Ross (CCGRID, 2020)

A survey of nonlinear robust optimization. - Sven Leyffer; Matt Menickelly; Todd S. Munson; Charlie Vanaret; Stefan M. Wild (INFOR Inf. Syst. Oper. Res., 2020)

An augmented Lagrangian filter method. - Sven Leyffer; Charlie Vanaret (Math. Methods Oper. Res., 2020)

Compact representations of structured BFGS matrices. - Johannes J. Brust; Zichao (Wendy) Di; Sven Leyffer; Cosmin G. Petra (Comput. Optim. Appl., 2021)

MINLP formulations for continuous piecewise linear function fitting. - Noam Goldberg; Steffen Rebennack; Youngdae Kim; Vitaliy Krasko; Sven Leyffer (Comput. Optim. Appl., 2021)

Convergence of sum-up rounding schemes for cloaking problems governed by the Helmholtz equation. - Sven Leyffer; Paul Manns; Malte Winckler (Comput. Optim. Appl., 2021)

Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments. - Ahmed Attia; Sven Leyffer; Todd S. Munson (CoRR, 2021)

BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators. - Wenjing Wang; Mohan Krishnamoorthy; Juliane Müller 002; Stephen Mrenna; Holger Schulz; Xiangyang Ju; Sven Leyffer; Zachary Marshall (CoRR, 2021)

Practical algorithms for multivariate rational approximation. - Anthony P. Austin; Mohan Krishnamoorthy; Sven Leyffer; Stephen Mrenna; Juliane Müller 002; Holger Schulz (Comput. Phys. Commun., 2021)

A method for convex black-box integer global optimization. - Jeffrey Larson 001; Sven Leyffer; Prashant Palkar; Stefan M. Wild (J. Glob. Optim., 2021)

Joint ptycho-tomography with deep generative priors. - Selin S. Aslan; Zhengchun Liu; Viktor V. Nikitin; Tekin Bicer; Sven Leyffer; Doga Gürsoy (Mach. Learn. Sci. Technol., 2021)

A solution framework for linear PDE-constrained mixed-integer problems. - Fabian Gnegel; Armin Fügenschuh; Michael Hagel; Sven Leyffer; Marcus Stiemer (Math. Program., 2021)

Minotaur: a mixed-integer nonlinear optimization toolkit. - Ashutosh Mahajan; Sven Leyffer; Jeff T. Linderoth; James R. Luedtke; Todd S. Munson (Math. Program. Comput., 2021)

A Bilevel Approach for Identifying the Worst Contingencies for Nonconvex Alternating Current Power Systems. - Brian C. Dandurand; Kibaek Kim; Sven Leyffer (SIAM J. Optim., 2021)

Modeling design and control problems involving neural network surrogates. - Dominic Yang; Prasanna Balaprakash; Sven Leyffer (Comput. Optim. Appl., 2022)

Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints. - Christian Kirches; Jeffrey Larson 001; Sven Leyffer; Paul Manns (SIAM J. Optim., 2022)

Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments. - Ahmed Attia; Sven Leyffer; Todd S. Munson (SIAM J. Sci. Comput., 2022)

A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking. - Ryan H. Vogt; Sven Leyffer; Todd S. Munson (SIAM J. Sci. Comput., 2022)

Robust A-Optimal Experimental Design for Bayesian Inverse Problems. - Ahmed Attia; Sven Leyffer; Todd S. Munson (CoRR, 2023)

Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics. - Jongeun Kim; Sven Leyffer; Prasanna Balaprakash (INFORMS J. Comput., 2023)

Binary optimal control by trust-region steepest descent. - Mirko Hahn; Sven Leyffer; Sebastian Sager (Math. Program., 2023)

Binary Control Pulse Optimization for Quantum Systems. - Xinyu Fei; Lucas T. Brady; Jeffrey Larson 001; Sven Leyffer; Siqian Shen (Quantum, 2023)

A Unified Funnel Restoration SQP Algorithm. - David Kiessling; Sven Leyffer; Charlie Vanaret (CoRR, 2024)

A Bilevel Optimization Framework for Imbalanced Data Classification. - Karen Medlin; Sven Leyffer; Krishnan Raghavan (CoRR, 2024)

Remark on Algorithm 1012: Computing Projections with Large Datasets. - Tyler H. Chang; Layne T. Watson; Sven Leyffer; Thomas C. H. Lux; Hussain M. J. Almohri (ACM Trans. Math. Softw., 2024)

Binary Quantum Control Optimization with Uncertain Hamiltonians. - Xinyu Fei; Lucas T. Brady; Jeffrey Larson 001; Sven Leyffer; Siqian Shen (INFORMS J. Comput., 2025)

Robust A-Optimal Experimental Design for Sensor Placement in Bayesian Linear Inverse Problems. - Ahmed Attia; Sven Leyffer; Todd S. Munson (SIAM/ASA J. Uncertain. Quantification, 2025)

A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials. - Ryan H. Vogt; Sven Leyffer; Todd S. Munson (Comput. Optim. Appl., 2025)

Sampling Imbalanced Data with Multi-objective Bilevel Optimization. - Karen Medlin; Sven Leyffer; Krishnan Raghavan (CoRR, 2025)