Nonsmooth Levenberg-Marquardt Type Method for Solving a Class of Stochastic Linear Complementarity Problems with Finitely Many Elements

Our purpose of this paper is to solve a class of stochastic linear complementarity problems (SLCP) with finitely many elements. Based on a new stochastic linear complementarity problem function, a new semi-smooth least squares reformulation of the stochastic linear complementarity problem is introdu...

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Main Authors: Zhimin Liu, Shouqiang Du, Ruiying Wang
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/9/4/83
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author Zhimin Liu
Shouqiang Du
Ruiying Wang
author_facet Zhimin Liu
Shouqiang Du
Ruiying Wang
author_sort Zhimin Liu
collection DOAJ
description Our purpose of this paper is to solve a class of stochastic linear complementarity problems (SLCP) with finitely many elements. Based on a new stochastic linear complementarity problem function, a new semi-smooth least squares reformulation of the stochastic linear complementarity problem is introduced. For solving the semi-smooth least squares reformulation, we propose a feasible nonsmooth Levenberg–Marquardt-type method. The global convergence properties of the nonsmooth Levenberg–Marquardt-type method are also presented. Finally, the related numerical results illustrate that the proposed method is efficient for the related refinery production problem and the large-scale stochastic linear complementarity problems.
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spelling doaj.art-f4a159fa064f479e9f7d71ae6e2bc1802022-12-22T00:45:15ZengMDPI AGAlgorithms1999-48932016-12-01948310.3390/a9040083a9040083Nonsmooth Levenberg-Marquardt Type Method for Solving a Class of Stochastic Linear Complementarity Problems with Finitely Many ElementsZhimin Liu0Shouqiang Du1Ruiying Wang2School of Mathematics and Statistics, Qingdao University, 308 Qingdao Ningxia Road, Qingdao 266071, ChinaSchool of Mathematics and Statistics, Qingdao University, 308 Qingdao Ningxia Road, Qingdao 266071, ChinaSchool of Mathematics and Statistics, Qingdao University, 308 Qingdao Ningxia Road, Qingdao 266071, ChinaOur purpose of this paper is to solve a class of stochastic linear complementarity problems (SLCP) with finitely many elements. Based on a new stochastic linear complementarity problem function, a new semi-smooth least squares reformulation of the stochastic linear complementarity problem is introduced. For solving the semi-smooth least squares reformulation, we propose a feasible nonsmooth Levenberg–Marquardt-type method. The global convergence properties of the nonsmooth Levenberg–Marquardt-type method are also presented. Finally, the related numerical results illustrate that the proposed method is efficient for the related refinery production problem and the large-scale stochastic linear complementarity problems.http://www.mdpi.com/1999-4893/9/4/83nonsmooth equationsstochastic linear complementarity problemsglobal convergenceLevenberg–Marquardt-type method
spellingShingle Zhimin Liu
Shouqiang Du
Ruiying Wang
Nonsmooth Levenberg-Marquardt Type Method for Solving a Class of Stochastic Linear Complementarity Problems with Finitely Many Elements
Algorithms
nonsmooth equations
stochastic linear complementarity problems
global convergence
Levenberg–Marquardt-type method
title Nonsmooth Levenberg-Marquardt Type Method for Solving a Class of Stochastic Linear Complementarity Problems with Finitely Many Elements
title_full Nonsmooth Levenberg-Marquardt Type Method for Solving a Class of Stochastic Linear Complementarity Problems with Finitely Many Elements
title_fullStr Nonsmooth Levenberg-Marquardt Type Method for Solving a Class of Stochastic Linear Complementarity Problems with Finitely Many Elements
title_full_unstemmed Nonsmooth Levenberg-Marquardt Type Method for Solving a Class of Stochastic Linear Complementarity Problems with Finitely Many Elements
title_short Nonsmooth Levenberg-Marquardt Type Method for Solving a Class of Stochastic Linear Complementarity Problems with Finitely Many Elements
title_sort nonsmooth levenberg marquardt type method for solving a class of stochastic linear complementarity problems with finitely many elements
topic nonsmooth equations
stochastic linear complementarity problems
global convergence
Levenberg–Marquardt-type method
url http://www.mdpi.com/1999-4893/9/4/83
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AT shouqiangdu nonsmoothlevenbergmarquardttypemethodforsolvingaclassofstochasticlinearcomplementarityproblemswithfinitelymanyelements
AT ruiyingwang nonsmoothlevenbergmarquardttypemethodforsolvingaclassofstochasticlinearcomplementarityproblemswithfinitelymanyelements