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A Homotopy-Based Algorithm for Mixed Complementarity Problems

This paper develops an algorithm for solving mixed complementarity problems that is based upon probability-one homotopy methods. After the complementarity problem is reformulated as a system of nonsmooth equations, a homotopy method is used to solve a sequence of smooth approximations to this system...

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Published in:SIAM journal on optimization 2002, Vol.12 (3), p.583-605
Main Author: Billups, Stephen C.
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Language:English
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description This paper develops an algorithm for solving mixed complementarity problems that is based upon probability-one homotopy methods. After the complementarity problem is reformulated as a system of nonsmooth equations, a homotopy method is used to solve a sequence of smooth approximations to this system of equations. The global convergence properties of this approach are qualitatively different from those of other recent methods, which rely upon decrease of a merit function. This enables the algorithm to reliably solve certain classes of problems that prove troublesome for other methods. To improve efficiency, the homotopy algorithm is embedded in a generalized Newton method.
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1095-7189
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source ABI/INFORM Global; LOCUS - SIAM's Online Journal Archive
subjects Algorithms
Approximation
Methods
title A Homotopy-Based Algorithm for Mixed Complementarity Problems
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