A Regularization SAA Scheme for a Stochastic Mathematical Program with Complementarity Constraints

To reflect uncertain data in practical problems, stochastic versions of the mathematical program with complementarity constraints (MPCC) have drawn much attention in the recent literature. Our concern is the detailed analysis of convergence properties of a regularization sample average approximation...

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Main Authors: Yu-xin Li, Jie Zhang, Zun-quan Xia
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/321010
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author Yu-xin Li
Jie Zhang
Zun-quan Xia
author_facet Yu-xin Li
Jie Zhang
Zun-quan Xia
author_sort Yu-xin Li
collection DOAJ
description To reflect uncertain data in practical problems, stochastic versions of the mathematical program with complementarity constraints (MPCC) have drawn much attention in the recent literature. Our concern is the detailed analysis of convergence properties of a regularization sample average approximation (SAA) method for solving a stochastic mathematical program with complementarity constraints (SMPCC). The analysis of this regularization method is carried out in three steps: First, the almost sure convergence of optimal solutions of the regularized SAA problem to that of the true problem is established by the notion of epiconvergence in variational analysis. Second, under MPCC-MFCQ, which is weaker than MPCC-LICQ, we show that any accumulation point of Karash-Kuhn-Tucker points of the regularized SAA problem is almost surely a kind of stationary point of SMPCC as the sample size tends to infinity. Finally, some numerical results are reported to show the efficiency of the method proposed.
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spelling doaj-art-0de80fffdb7d49bea3b83a72e2d768c82025-02-03T06:12:03ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/321010321010A Regularization SAA Scheme for a Stochastic Mathematical Program with Complementarity ConstraintsYu-xin Li0Jie Zhang1Zun-quan Xia2Institute of ORCT, School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, ChinaSchool of Mathematics, Liaoning Normal University, Dalian 116029, ChinaInstitute of ORCT, School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, ChinaTo reflect uncertain data in practical problems, stochastic versions of the mathematical program with complementarity constraints (MPCC) have drawn much attention in the recent literature. Our concern is the detailed analysis of convergence properties of a regularization sample average approximation (SAA) method for solving a stochastic mathematical program with complementarity constraints (SMPCC). The analysis of this regularization method is carried out in three steps: First, the almost sure convergence of optimal solutions of the regularized SAA problem to that of the true problem is established by the notion of epiconvergence in variational analysis. Second, under MPCC-MFCQ, which is weaker than MPCC-LICQ, we show that any accumulation point of Karash-Kuhn-Tucker points of the regularized SAA problem is almost surely a kind of stationary point of SMPCC as the sample size tends to infinity. Finally, some numerical results are reported to show the efficiency of the method proposed.http://dx.doi.org/10.1155/2014/321010
spellingShingle Yu-xin Li
Jie Zhang
Zun-quan Xia
A Regularization SAA Scheme for a Stochastic Mathematical Program with Complementarity Constraints
Journal of Applied Mathematics
title A Regularization SAA Scheme for a Stochastic Mathematical Program with Complementarity Constraints
title_full A Regularization SAA Scheme for a Stochastic Mathematical Program with Complementarity Constraints
title_fullStr A Regularization SAA Scheme for a Stochastic Mathematical Program with Complementarity Constraints
title_full_unstemmed A Regularization SAA Scheme for a Stochastic Mathematical Program with Complementarity Constraints
title_short A Regularization SAA Scheme for a Stochastic Mathematical Program with Complementarity Constraints
title_sort regularization saa scheme for a stochastic mathematical program with complementarity constraints
url http://dx.doi.org/10.1155/2014/321010
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