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Solving Mathematical Programs with Complementarity Constraints with Nonlinear Solvers

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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 563))

Summary

MPCC can be solved with specific MPCC codes or in its nonlinear equivalent formulation (NLP) using NLP solvers. Two NLP solvers - NPSOL and the line search filter SQP - are used to solve a collection of test problems in AMPL. Both are based on SQP (Sequential Quadratic Programming) philosophy but the second one uses a line search filter scheme.

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© 2006 Springer-Verlag Berlin Heidelberg

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Rodrigues, H.S., Monteiro, M.T.T. (2006). Solving Mathematical Programs with Complementarity Constraints with Nonlinear Solvers. In: Seeger, A. (eds) Recent Advances in Optimization. Lecture Notes in Economics and Mathematical Systems, vol 563. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28258-0_24

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