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SIAMJO
2002

A Probability-One Homotopy Algorithm for Nonsmooth Equations and Mixed Complementarity Problems

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A Probability-One Homotopy Algorithm for Nonsmooth Equations and Mixed Complementarity Problems
A probability-one homotopy algorithm for solving nonsmooth equations is described. This algorithm is able to solve problems involving highly nonlinear equations, where the norm of the residual has non-global local minima. The algorithm is based on constructing homotopy mappings that are smooth in the interior of their domains. The algorithm is specialized to solve mixed complementarity problems through the use of MCP functions and associated smoothers. This specialized algorithm includes an option to ensure that all iterates remain feasible. Easily satisfiable sufficient conditions are given to ensure that the homotopy zero curve remains feasible, and global convergence properties for the MCP algorithm are developed. Computational results on the MCPLIB test library demonstrate the effectiveness of the algorithm. Key words. nonsmooth equations, complementarity problems, homotopy methods, smoothing, path following. AMS subject classifications. 65F10, 65F50, 65H10, 65K10
Stephen C. Billups, Layne T. Watson
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where SIAMJO
Authors Stephen C. Billups, Layne T. Watson
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