An algorithm for global solution to bi-parametric linear complementarity constrained linear programs

Yu-Ching Lee (), Jong-Shi Pang and John Mitchell

Journal of Global Optimization, 2015, vol. 62, issue 2, 263-297

Abstract: A linear program with linear complementarity constraints (LPCC) is among the simplest mathematical programs with complementarity constraints. Yet the global solution of the LPCC remains difficult to find and/or verify. In this work we study a specific type of the LPCC which we term a bi-parametric LPCC. Reformulating the bi-parametric LPCC as a non-convex quadratically constrained program, we develop a domain-partitioning algorithm that solves a series of the linear subproblems and/or convex quadratically constrained subprograms obtained by the relaxations of the complementarity constraint. The choice of an artificial constants-pair allows us to control the domain on which the partitioning is done. Numerical results of robustly solving 105 randomly generated bi-parametric LPCC instances of different structures associated with different numbers of complementarity constraints by the algorithm are presented. Copyright Springer Science+Business Media New York 2015

Keywords: Mathematical program with complementarity constraints; Bi-parametric program; Domain partitioning; Global optimization algorithm (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s10898-014-0228-5

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