Numerical Analysis Group Research
Report NA-02/11
Mathematical programs with equilibrium constraints: automatic reformulation and
solution via constrained optimization
M C Ferris,
S P Dirkse, A Meeraus
July 2002, 31 pages.
Constrained optimization has been extensively used to solve many large
scale deterministic problems arising in economics, including, for example,
square systems of equations and nonlinear programs. A separate set of models
have been generated more recently, using complementarity to model various
phenomenon, particularly in general equilibria. The unifying framework
of mathematical programs with equilibrium constraints (MPEC) has been
postulated for problems that combine facets of optimization and complementarity.
This paper briefly reviews some methods available to solve these
problems and described a new suite of tools for working with MPEC models.
Computational results demonstrating the potential of this tool are given that
automatically construct and solve a variety of different nonlinear programming
reformulations of MPEC problems.
This material is based on research partially supported by the National Science
Foundation Grant CCR-9972372, the Air Force Office of Scientific Research Grant
F49620-01-1-0040, Microsoft Corporation and the Guggenheim Foundation.
This paper is available as a 273,172 byte
Postscript file
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