A method for solving the general parametric linear complementarity problem

被引:0
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作者
Zukui Li
Marianthi G. Ierapetritou
机构
[1] Rutgers University,Dept. of Chemical and Biochemical Engineering
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Parametric linear complementarity problem; Minimum norm solution; Mixed integer programming; Multiparametric programming;
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摘要
This paper presents a solution method for the general (mixed integer) parametric linear complementarity problem pLCP(q(θ),M), where the matrix M has a general structure and integrality restriction can be enforced on the solution. Based on the equivalence between the linear complementarity problem and mixed integer feasibility problem, we propose a mixed integer programming formulation with an objective of finding the minimum 1-norm solution for the original linear complementarity problem. The parametric linear complementarity problem is then formulated as multiparametric mixed integer programming problem, which is solved using a multiparametric programming algorithm. The proposed method is illustrated through a number of examples.
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页码:485 / 501
页数:16
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