Co-PI, RDCEP 1 (2010-2015)
Scientist, Mathematics and Computer Science Division, Argonne National Laboratory
Fellow, Computation Institute, University of Chicago
Areas of Expertise:
- Algorithms for numerical optimization and equilibrium problems
- Applications of mathematical programming
- Linear algebra for large sparse systems
Munson's primary research focus is algorithms and applications of optimization and complementarity. He has worked on several generalized Newton methods for solving complementarity problems, including PATH, the most widely used software for solving these problems, and parallel semi-smooth methods in TAO, the Toolkit for Advanced Optimization. He has also worked on special-purpose algorithms for solving support vector machines and mesh shape-quality optimization problems and is currently developing methods for structured optimization problems such as those encountered in PDE-constrained optimization and economics.
Munson has been involved in a number of projects that make computational tools available to researchers. For example, NEOS (Network Enabled Optimization System) is a multi-institutional project that provides access to over fifty solvers of academic and commercial optimization packages through an assortment of Internet interfaces. NEOS processes over 400,000 job requests annually from academic, commercial, and government institutions.
Munson received his PhD in Computer Science from the University of Wisconsin at Madison.
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