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ORCIDTodd S. Munson
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- affiliation: Argonne National Laboratory, IL, USA
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2020 – today
- 2024
[i17]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:
PETSc/TAO Developments for Early Exascale Systems. CoRR abs/2406.08646 (2024)- 2023
- [i16]Ahmed Attia, Sven Leyffer, Todd S. Munson:
Robust A-Optimal Experimental Design for Bayesian Inverse Problems. CoRR abs/2305.03855 (2023) - 2022
- [j29]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:
A codesign framework for online data analysis and reduction. Concurr. Comput. Pract. Exp. 34(14) (2022) - [j28]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:
The PETSc Community as Infrastructure. Comput. Sci. Eng. 24(3): 6-15 (2022) - [j27]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:
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36(1): 106-128 (2022) - [j26]Ryan H. Vogt, Sven Leyffer, Todd S. Munson:
A Mixed-Integer PDE-Constrained Optimization Formulation for Electromagnetic Cloaking. SIAM J. Sci. Comput. 44(1): 29- (2022) - [j25]Ahmed Attia, Sven Leyffer, Todd S. Munson:
Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments. SIAM J. Sci. Comput. 44(2): 395- (2022) - [j24]Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew G. Knepley, Oana Marin, Richard Tran Mills, Todd S. Munson, Barry F. Smith, Stefano Zampini:
The PetscSF Scalable Communication Layer. IEEE Trans. Parallel Distributed Syst. 33(4): 842-853 (2022) - [j23]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:
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 33(4): 878-890 (2022) - [c26]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:
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. CLUSTER 2022: 218-229 - [c25]Alexander Brace, Igor Yakushin, Heng Ma, Anda Trifan, Todd S. Munson, Ian T. Foster, Arvind Ramanathan, Hyungro Lee, Matteo Turilli, Shantenu Jha:
Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations. IPDPS 2022: 806-816 - [c24]Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson:
Message from the DRBSD-8 Workshop Chairs. DRBSD@SC 2022: v - [i15]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:
The PETSc Community Is the Infrastructure. CoRR abs/2201.00967 (2022) - 2021
- [j22]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:
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35(6): 617-635 (2021) - [j21]Ashutosh Mahajan, Sven Leyffer, Jeff T. Linderoth, James R. Luedtke, Todd S. Munson:
Minotaur: a mixed-integer nonlinear optimization toolkit. Math. Program. Comput. 13(2): 301-338 (2021) - [j20]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:
Toward performance-portable PETSc for GPU-based exascale systems. Parallel Comput. 108: 102831 (2021) - [j19]Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster:
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. IEEE Trans. Vis. Comput. Graph. 27(8): 3463-3480 (2021) - [c23]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:
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS 2021: 859-868 - [c22]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:
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC 2021: 22-39 - [c21]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:
ExaWorks: Workflows for Exascale. WORKS 2021: 50-57 - [i14]Ahmed Attia, Sven Leyffer, Todd S. Munson:
Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments. CoRR abs/2101.05958 (2021) - [i13]Junchao Zhang, Jed Brown, Satish Balay, Jacob Faibussowitsch, Matthew G. Knepley, Oana Marin, Richard Tran Mills, Todd S. Munson, Barry F. Smith, Stefano Zampini:
The PetscSF Scalable Communication Layer. CoRR abs/2102.13018 (2021) - [i12]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:
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR abs/2103.09181 (2021) - [i11]Alexander Brace, Hyungro Lee, Heng Ma, Anda Trifan, Matteo Turilli, Igor Yakushin, Todd S. Munson, Ian T. Foster, Shantenu Jha, Arvind Ramanathan:
Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles. CoRR abs/2104.04797 (2021) - [i10]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:
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR abs/2105.12764 (2021) - [i9]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:
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR abs/2106.05177 (2021) - [i8]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:
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR abs/2107.07108 (2021) - [i7]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:
ExaWorks: Workflows for Exascale. CoRR abs/2108.13521 (2021) - 2020
- [j18]Sven Leyffer, Matt Menickelly, Todd S. Munson, Charlie Vanaret, Stefan M. Wild:
A survey of nonlinear robust optimization. INFOR Inf. Syst. Oper. Res. 58(2): 342-373 (2020) - [c20]Igor Yakushin, Kshitij Mehta, Jieyang Chen, Matthew Wolf, Ian T. Foster, Scott Klasky, Todd S. Munson:
Feature-preserving Lossy Compression for In Situ Data Analysis. ICPP Workshops 2020: 10:1-10:9 - [i6]Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR abs/2007.04457 (2020) - [i5]Alp Dener, Marco Andres Miller, Randy Michael Churchill, Todd S. Munson, Choong-Seock Chang:
Training neural networks under physical constraints using a stochastic augmented Lagrangian approach. CoRR abs/2009.07330 (2020) - [i4]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:
Toward Performance-Portable PETSc for GPU-based Exascale Systems. CoRR abs/2011.00715 (2020) - [i3]Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster:
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. CoRR abs/2011.08697 (2020)
2010 – 2019
- 2019
- [c19]Michael Retzlaff, Todd S. Munson, Zichao (Wendy) Di:
Data Compression for Optimization of a Molecular Dynamics System: Preserving Basins of Attraction. ICCS (3) 2019: 457-470 - [c18]Alp Dener, Todd S. Munson:
Accelerating Limited-Memory Quasi-Newton Convergence for Large-Scale Optimization. ICCS (3) 2019: 495-507 - [c17]Alp Dener, Adam Denchfield, Todd S. Munson:
Preconditioning Nonlinear Conjugate Gradient with Diagonalized Quasi-Newton. PASC 2019: 2:1-2:7 - [c16]Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd S. Munson:
A Codesign Framework for Online Data Analysis and Reduction. WORKS@SC 2019: 11-20 - [c15]Robert Jackson, Scott M. Collis, Timothy Lang, Corey K. Potvin, Todd S. Munson:
PyDDA: A new Pythonic Wind Retrieval Package. SciPy 2019: 111-117 - 2018
- [c14]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:
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 2018: 442-452 - [c13]Preeti Malakar, Todd S. Munson, Christopher Knight, Venkatram Vishwanath, Michael E. Papka:
Topology-aware space-shared co-analysis of large-scale molecular dynamics simulations. SC 2018: 24:1-24:15 - 2017
- [c12]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:
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: 3-19 - [c11]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:
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS 2017: 1927-1937 - [c10]Preeti Malakar, Christopher Knight, Todd S. Munson, Venkatram Vishwanath, Michael E. Papka:
Scalable In situ Analysis of Molecular Dynamics Simulations. ISAV@SC 2017: 1-6 - [i2]Vadim Sokolov, Jeffrey Larson, Todd S. Munson, Joshua Auld, Dominik Karbowski:
Platoon formation maximization through centralized routing and departure time coordination. CoRR abs/1701.01391 (2017) - 2016
- [j17]Fu Lin, Sven Leyffer, Todd S. Munson:
A two-level approach to large mixed-integer programs with application to cogeneration in energy-efficient buildings. Comput. Optim. Appl. 65(1): 1-46 (2016) - [c9]Preeti Malakar, Venkatram Vishwanath, Christopher Knight, Todd S. Munson, Michael E. Papka:
Optimal execution of co-analysis for large-scale molecular dynamics simulations. SC 2016: 702-715 - [c8]Jeffrey Larson, Todd S. Munson, Vadim Sokolov:
Coordinated Platoon Routing in a Metropolitan Network. CSC 2016: 73-82 - 2015
- [c7]Huy Bui, Preeti Malakar, Venkatram Vishwanath, Todd S. Munson, Eun-Sung Jung, Andrew E. Johnson, Michael E. Papka, Jason Leigh:
Improving Communication Throughput by Multipath Load Balancing on Blue Gene/Q. HiPC 2015: 115-124 - [c6]Ashish Tripathi, Sven Leyffer, Todd S. Munson, Stefan M. Wild:
Visualizing and Improving the Robustness of Phase Retrieval Algorithms. ICCS 2015: 815-824 - [c5]Preeti Malakar, Venkatram Vishwanath, Todd S. Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael E. Papka:
Optimal scheduling of in-situ analysis for large-scale scientific simulations. SC 2015: 52:1-52:11 - 2014
- [j16]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:
Addressing failures in exascale computing. Int. J. High Perform. Comput. Appl. 28(2): 129-173 (2014) - 2013
- [c4]Noam Goldberg, Sven Leyffer, Todd S. Munson:
A New Perspective on Convex Relaxations of Sparse SVM. SDM 2013: 450-457 - 2012
- [j15]Haw-ren Fang, Sven Leyffer, Todd S. Munson:
A pivoting algorithm for linear programming with linear complementarity constraints. Optim. Methods Softw. 27(1): 89-114 (2012) - 2011
- [i1]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:
Advancing Nuclear Physics Through TOPS Solvers and Tools. CoRR abs/1110.1708 (2011) - 2010
- [j14]Sven Leyffer, Todd S. Munson:
Solving multi-leader-common-follower games. Optim. Methods Softw. 25(4): 601-623 (2010)
2000 – 2009
- 2008
- [j13]Elizabeth D. Dolan, Robert Fourer, Jean-Pierre Goux, Todd S. Munson, Jason Sarich:
Kestrel: An Interface from Optimization Modeling Systems to the NEOS Server. INFORMS J. Comput. 20(4): 525-538 (2008) - 2007
- [j12]Todd S. Munson:
Mesh shape-quality optimization using the inverse mean-ratio metric. Math. Program. 110(3): 561-590 (2007) - 2006
- [j11]Yihsu Chen, Benjamin F. Hobbs, Sven Leyffer, Todd S. Munson:
Leader-Follower Equilibria for Electric Power and NO x Allowances Markets. Comput. Manag. Sci. 3(4): 307-330 (2006) - [j10]Lori Freitag Diachin, Patrick M. Knupp, Todd S. Munson, Suzanne M. Shontz:
A comparison of two optimization methods for mesh quality improvement. Eng. Comput. 22(2): 61-74 (2006) - [j9]Steven J. Benson, Todd S. Munson:
Flexible complementarity solvers for large-scale applications. Optim. Methods Softw. 21(1): 155-168 (2006) - [j8]Elizabeth D. Dolan, Jorge J. Moré, Todd S. Munson:
Optimality Measures for Performance Profiles. SIAM J. Optim. 16(3): 891-909 (2006) - 2004
- [j7]Jorge J. Moré, Todd S. Munson:
Computing mountain passes and transition states. Math. Program. 100(1): 151-182 (2004) - [j6]Michael C. Ferris, Todd S. Munson:
Semismooth support vector machines. Math. Program. 101(1): 185-204 (2004) - [c3]Lori Freitag Diachin, Patrick M. Knupp, Todd S. Munson, Suzanne M. Shontz:
A Comparison of Inexact Newton and Coordinate Descent Mesh Optimization Techniques. IMR 2004: 243-254 - 2002
- [j5]Michael C. Ferris, Todd S. Munson:
Interior-Point Methods for Massive Support Vector Machines. SIAM J. Optim. 13(3): 783-804 (2002) - [c2]Lori A. Freitag, Patrick M. Knupp, Todd S. Munson, Suzanne M. Shontz:
A Comparison Of Optimization Software For Mesh Shape-Quality Improvement Problems. IMR 2002: 29-40 - 2001
- [j4]Todd S. Munson, Francisco Facchinei, Michael C. Ferris, Andreas Fischer, Christian Kanzow:
The Semismooth Algorithm for Large Scale Complementarity Problems. INFORMS J. Comput. 13(4): 294-311 (2001) - 2000
- [j3]Michael C. Ferris, Todd S. Munson:
Modeling languages and Condor: metacomputing for optimization. Math. Program. 88(3): 487-505 (2000) - [c1]Michael C. Ferris, Todd S. Munson, Krung Sinapiromsaran:
A practical approach to sample-path simulation optimization. WSC 2000: 795-804
1990 – 1999
- 1999
- [j2]Michael C. Ferris, Todd S. Munson:
Interfaces to PATH 3.0: Design, Implementation and Usage. Comput. Optim. Appl. 12(1-3): 207-227 (1999) - [j1]Michael C. Ferris, Christian Kanzow, Todd S. Munson:
Feasible descent algorithms for mixed complementarity problems. Math. Program. 86(3): 475-497 (1999)
Coauthor Index
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