Todd S. Munson

77 papers A 7B 2C 1Misc 3Journal 50Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers. CoRR Yijiang Li, Zilinghan Li, Kyle Chard, Ian T. Foster, Todd S. Munson, Ravi K. Madduri, Kibaek Kim
2025	J	`jnl`	A mixed-integer PDE-constrained optimization formulation for constructing electromagnetic cloaks with multiple materials. Comput. Optim. Appl. Ryan H. Vogt, Sven Leyffer, Todd S. Munson
2025	J	`jnl`	PETSc/TAO developments for GPU-based early exascale systems. Int. J. High Perform. Comput. Appl. Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Jacob Faibussowitsch, Toby Isaac, Matthew G. Knepley, Todd S. Munson, Hansol Suh, Stefano Zampini, Hong Zhang, Junchao Zhang
2025	J	`jnl`	Robust A-Optimal Experimental Design for Sensor Placement in Bayesian Linear Inverse Problems. SIAM/ASA J. Uncertain. Quantification Ahmed Attia, Sven Leyffer, Todd S. Munson
2024	J	`jnl`	PETSc/TAO Developments for Early Exascale Systems. CoRR Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Jacob Faibussowitsch, Toby Isaac, Matthew G. Knepley, Todd S. Munson, Hansol Suh, Stefano Zampini, Hong Zhang, Junchao Zhang
2024	B	`conf`	Privacy-Preserving Federated Learning for Science: Challenges and Research Directions. IEEE Big Data Kibaek Kim, Krishnan Raghavan, Olivera Kotevska, Matthieu Dorier, Ravi K. Madduri, Minseok Ryu, Todd S. Munson, Robert Ross, Thomas Flynn, Ai Kagawa, Byung-Jun Yoon, Christian Engelmann, Farzad Yousefian
2023	J	`jnl`	Robust A-Optimal Experimental Design for Bayesian Inverse Problems. CoRR Ahmed Attia, Sven Leyffer, Todd S. Munson
2022	J	`jnl`	A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking. SIAM J. Sci. Comput. Ryan H. Vogt, Sven Leyffer, Todd S. Munson
2022	J	`jnl`	A codesign framework for online data analysis and reduction. Concurr. Comput. Pract. Exp. Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Youl Choi, Keichi Takahashi, Kevin A. Huck, Igor Yakushin, Alan Sussman, Todd S. Munson, Ian T. Foster, Scott Klasky
2022	A	`conf`	Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations. IPDPS Alexander Brace, Igor Yakushin, Heng Ma, Anda Trifan, Todd S. Munson, Ian T. Foster, Arvind Ramanathan, Hyungro Lee, Matteo Turilli, Shantenu Jha
2022	C	`conf`	Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. CLUSTER Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin A. Huck, Ralph Kube, Aaron Scheinberg, Frédéric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky
2022	J	`jnl`	Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky
2022	—	`conf`	Message from the DRBSD-8 Workshop Chairs. DRBSD@SC Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson
2022	J	`jnl`	Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments. SIAM J. Sci. Comput. Ahmed Attia, Sven Leyffer, Todd S. Munson
2022	J	`jnl`	The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang
2022	J	`jnl`	The PETSc Community Is the Infrastructure. CoRR Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang
2022	J	`jnl`	The PETSc Community as Infrastructure. Comput. Sci. Eng. Mark F. Adams, Satish Balay, Oana Marin, Lois Curfman McInnes, Richard Tran Mills, Todd S. Munson, Hong Zhang, Junchao Zhang, Jed Brown, Victor Eijkhout, Jacob Faibussowitsch, Matthew G. Knepley, Fande Kong, Scott Kruger, Patrick Sanan, Barry F. Smith, Hong Zhang
2022	J	`jnl`	The PetscSF Scalable Communication Layer. IEEE Trans. Parallel Distributed Syst. Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew G. Knepley, Oana Marin, Richard Tran Mills, Todd S. Munson, Barry F. Smith, Stefano Zampini
2021	A	`conf`	Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
2021	J	`jnl`	Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles. CoRR Alexander Brace, Hyungro Lee, Heng Ma, Anda Trifan, Matteo Turilli, Igor Yakushin, Todd S. Munson, Ian T. Foster, Shantenu Jha, Arvind Ramanathan
2021	—	`conf`	ExaWorks: Workflows for Exascale. WORKS Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Thomas D. Uram, Justin M. Wozniak
2021	J	`jnl`	ExaWorks: Workflows for Exascale. CoRR Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Justin M. Wozniak
2021	J	`jnl`	FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. IEEE Trans. Vis. Comput. Graph. Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
2021	J	`jnl`	Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky
2021	B	`conf`	Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky
2021	J	`jnl`	Minotaur: a mixed-integer nonlinear optimization toolkit. Math. Program. Comput. Ashutosh Mahajan, Sven Leyffer, Jeff T. Linderoth, James R. Luedtke, Todd S. Munson
2021	J	`jnl`	Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson
2021	J	`jnl`	Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
2021	J	`jnl`	Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments. CoRR Ahmed Attia, Sven Leyffer, Todd S. Munson
2021	J	`jnl`	The PetscSF Scalable Communication Layer. CoRR Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew G. Knepley, Oana Marin, Richard Tran Mills, Todd S. Munson, Barry F. Smith, Stefano Zampini
2021	J	`jnl`	Toward performance-portable PETSc for GPU-based exascale systems. Parallel Comput. Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew G. Knepley, Scott E. Kruger, Hannah Morgan, Todd S. Munson, Karl Rupp, Barry F. Smith, Stefano Zampini, Hong Zhang, Junchao Zhang
2021	J	`jnl`	Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak
2021	J	`jnl`	Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak
2020	J	`jnl`	A survey of nonlinear robust optimization. INFOR Inf. Syst. Oper. Res. Sven Leyffer, Matt Menickelly, Todd S. Munson, Charlie Vanaret, Stefan M. Wild
2020	J	`jnl`	Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
2020	J	`jnl`	FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. CoRR Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
2020	—	`conf`	Feature-preserving Lossy Compression for In Situ Data Analysis. ICPP Workshops Igor Yakushin, Kshitij Mehta, Jieyang Chen, Matthew Wolf, Ian T. Foster, Scott Klasky, Todd S. Munson
2020	J	`jnl`	Toward Performance-Portable PETSc for GPU-based Exascale Systems. CoRR Richard Tran Mills, Mark F. Adams, Satish Balay, Jed Brown, Alp Dener, Matthew G. Knepley, Scott E. Kruger, Hannah Morgan, Todd S. Munson, Karl Rupp, Barry F. Smith, Stefano Zampini, Hong Zhang, Junchao Zhang
2020	J	`jnl`	Training neural networks under physical constraints using a stochastic augmented Lagrangian approach. CoRR Alp Dener, Marco Andres Miller, Randy Michael Churchill, Todd S. Munson, Choong-Seock Chang
2019	—	`conf`	A Codesign Framework for Online Data Analysis and Reduction. WORKS@SC Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd S. Munson
2019	—	`conf`	Accelerating Limited-Memory Quasi-Newton Convergence for Large-Scale Optimization. ICCS (3) Alp Dener, Todd S. Munson
2019	—	`conf`	Data Compression for Optimization of a Molecular Dynamics System: Preserving Basins of Attraction. ICCS (3) Michael Retzlaff, Todd S. Munson, Zichao (Wendy) Di
2019	—	`conf`	Preconditioning Nonlinear Conjugate Gradient with Diagonalized Quasi-Newton. PASC Alp Dener, Adam Denchfield, Todd S. Munson
2019	—	`conf`	PyDDA: A new Pythonic Wind Retrieval Package. SciPy Robert Jackson, Scott M. Collis, Timothy Lang, Corey K. Potvin, Todd S. Munson
2018	—	`conf`	Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood
2018	A	`conf`	Topology-aware space-shared co-analysis of large-scale molecular dynamics simulations. SC Preeti Malakar, Todd S. Munson, Christopher Knight, Venkatram Vishwanath, Michael E. Papka
2017	—	`conf`	Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo
2017	A	`conf`	Exacution: Enhancing Scientific Data Management for Exascale. ICDCS Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan
2017	J	`jnl`	Platoon formation maximization through centralized routing and departure time coordination. CoRR Vadim Sokolov, Jeffrey Larson, Todd S. Munson, Joshua Auld, Dominik Karbowski
2017	—	`conf`	Scalable In situ Analysis of Molecular Dynamics Simulations. ISAV@SC Preeti Malakar, Christopher Knight, Todd S. Munson, Venkatram Vishwanath, Michael E. Papka
2016	J	`jnl`	A two-level approach to large mixed-integer programs with application to cogeneration in energy-efficient buildings. Comput. Optim. Appl. Fu Lin, Sven Leyffer, Todd S. Munson
2016	—	`conf`	Coordinated Platoon Routing in a Metropolitan Network. CSC Jeffrey Larson, Todd S. Munson, Vadim Sokolov
2016	A	`conf`	Optimal execution of co-analysis for large-scale molecular dynamics simulations. SC Preeti Malakar, Venkatram Vishwanath, Christopher Knight, Todd S. Munson, Michael E. Papka
2015	Misc	`conf`	Improving Communication Throughput by Multipath Load Balancing on Blue Gene/Q. HiPC Huy Bui, Preeti Malakar, Venkatram Vishwanath, Todd S. Munson, Eun-Sung Jung, Andrew E. Johnson, Michael E. Papka, Jason Leigh
2015	A	`conf`	Optimal scheduling of in-situ analysis for large-scale scientific simulations. SC Preeti Malakar, Venkatram Vishwanath, Todd S. Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael E. Papka
2015	Misc	`conf`	Visualizing and Improving the Robustness of Phase Retrieval Algorithms. ICCS Ashish Tripathi, Sven Leyffer, Todd S. Munson, Stefan M. Wild
2014	J	`jnl`	Addressing failures in exascale computing. Int. J. High Perform. Comput. Appl. 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, Nathan DeBardeleben, Pedro C. Diniz, Christian Engelmann, Mattan Erez, Saverio Fazzari, Al Geist, Rinku Gupta, Fred Johnson, Sriram Krishnamoorthy, Sven Leyffer, Dean Liberty, Subhasish Mitra, Todd S. Munson, Rob Schreiber, Jon Stearley, Eric Van Hensbergen
2013	A	`conf`	A New Perspective on Convex Relaxations of Sparse SVM. SDM Noam Goldberg, Sven Leyffer, Todd S. Munson
2012	J	`jnl`	A pivoting algorithm for linear programming with linear complementarity constraints. Optim. Methods Softw. Haw-ren Fang, Sven Leyffer, Todd S. Munson
2011	J	`jnl`	Advancing Nuclear Physics Through TOPS Solvers and Tools CoRR Esmond G. Ng, Jason Sarich, Stefan M. Wild, Todd S. Munson, Hasan Metin Aktulga, Chao Yang, Pieter Maris, James P. Vary, Nicolas Schunck, M. G. Bertolli, Markus Kortelainen, Witold Nazarewicz, Thomas Papenbrock, M. V. Stoitsov
2010	J	`jnl`	Solving multi-leader-common-follower games. Optim. Methods Softw. Sven Leyffer, Todd S. Munson
2008	J	`jnl`	Kestrel: An Interface from Optimization Modeling Systems to the NEOS Server. INFORMS J. Comput. Elizabeth D. Dolan, Robert Fourer, Jean-Pierre Goux, Todd S. Munson, Jason Sarich
2007	J	`jnl`	Mesh shape-quality optimization using the inverse mean-ratio metric. Math. Program. Todd S. Munson
2006	J	`jnl`	A comparison of two optimization methods for mesh quality improvement. Eng. Comput. Lori Freitag Diachin, Patrick M. Knupp, Todd S. Munson, Suzanne M. Shontz
2006	J	`jnl`	Flexible complementarity solvers for large-scale applications. Optim. Methods Softw. Steven J. Benson, Todd S. Munson
2006	J	`jnl`	Leader-Follower Equilibria for Electric Power and NO Comput. Manag. Sci. Yihsu Chen, Benjamin F. Hobbs, Sven Leyffer, Todd S. Munson
2006	J	`jnl`	Optimality Measures for Performance Profiles. SIAM J. Optim. Elizabeth D. Dolan, Jorge J. Moré, Todd S. Munson
2004	—	`conf`	A Comparison of Inexact Newton and Coordinate Descent Mesh Optimization Techniques. IMR Lori Freitag Diachin, Patrick M. Knupp, Todd S. Munson, Suzanne M. Shontz
2004	J	`jnl`	Computing mountain passes and transition states. Math. Program. Jorge J. Moré, Todd S. Munson
2004	J	`jnl`	Semismooth support vector machines. Math. Program. Michael C. Ferris, Todd S. Munson
2002	—	`conf`	A Comparison Of Optimization Software For Mesh Shape-Quality Improvement Problems. IMR Lori A. Freitag, Patrick M. Knupp, Todd S. Munson, Suzanne M. Shontz
2002	J	`jnl`	Interior-Point Methods for Massive Support Vector Machines. SIAM J. Optim. Michael C. Ferris, Todd S. Munson
2001	J	`jnl`	The Semismooth Algorithm for Large Scale Complementarity Problems. INFORMS J. Comput. Todd S. Munson, Francisco Facchinei, Michael C. Ferris, Andreas Fischer, Christian Kanzow
2000	Misc	`conf`	A practical approach to sample-path simulation optimization. WSC Michael C. Ferris, Todd S. Munson, Krung Sinapiromsaran
2000	J	`jnl`	Modeling languages and Condor: metacomputing for optimization. Math. Program. Michael C. Ferris, Todd S. Munson
1999	J	`jnl`	Feasible descent algorithms for mixed complementarity problems. Math. Program. Michael C. Ferris, Christian Kanzow, Todd S. Munson
1999	J	`jnl`	Interfaces to PATH 3.0: Design, Implementation and Usage. Comput. Optim. Appl. Michael C. Ferris, Todd S. Munson