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Article: An LQP-based decomposition method for solving a class of variational inequalities

TitleAn LQP-based decomposition method for solving a class of variational inequalities
Authors
KeywordsAlternating direction method
Logarithmic-quadratic proximal method
System of nonlinear equations
Variational inequality
Complementarity problem
Issue Date2011
PublisherSociety for Industrial and Applied Mathematics. The Journal's web site is located at http://www.siam.org/journals/siopt.php
Citation
SIAM Journal on Optimization, 2011, v. 21, n. 4, p. 1309-1318 How to Cite?
AbstractThe alternating direction method (ADM) is an influential decomposition method for solving a class of variational inequalities with block-separable structures. In the literature, the subproblems of the ADM are usually regularized by quadratic proximal terms to ensure a more stable and attractive numerical performance. In this paper, we propose to apply the logarithmicquadratic proximal (LQP) terms to regularize the ADMsubproblems, and thus develop an LQP-based decomposition method for solving a class of variational inequalities. Global convergence of the new method is proved under standard assumptions. © 2011 Society for Industrial and Applied Mathematics.
Persistent Identifierhttp://hdl.handle.net/10722/250993
ISSN
2023 Impact Factor: 2.6
2023 SCImago Journal Rankings: 2.138
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYuan, Xiaoming-
dc.contributor.authorLi, Min-
dc.date.accessioned2018-02-01T01:54:16Z-
dc.date.available2018-02-01T01:54:16Z-
dc.date.issued2011-
dc.identifier.citationSIAM Journal on Optimization, 2011, v. 21, n. 4, p. 1309-1318-
dc.identifier.issn1052-6234-
dc.identifier.urihttp://hdl.handle.net/10722/250993-
dc.description.abstractThe alternating direction method (ADM) is an influential decomposition method for solving a class of variational inequalities with block-separable structures. In the literature, the subproblems of the ADM are usually regularized by quadratic proximal terms to ensure a more stable and attractive numerical performance. In this paper, we propose to apply the logarithmicquadratic proximal (LQP) terms to regularize the ADMsubproblems, and thus develop an LQP-based decomposition method for solving a class of variational inequalities. Global convergence of the new method is proved under standard assumptions. © 2011 Society for Industrial and Applied Mathematics.-
dc.languageeng-
dc.publisherSociety for Industrial and Applied Mathematics. The Journal's web site is located at http://www.siam.org/journals/siopt.php-
dc.relation.ispartofSIAM Journal on Optimization-
dc.subjectAlternating direction method-
dc.subjectLogarithmic-quadratic proximal method-
dc.subjectSystem of nonlinear equations-
dc.subjectVariational inequality-
dc.subjectComplementarity problem-
dc.titleAn LQP-based decomposition method for solving a class of variational inequalities-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1137/070703557-
dc.identifier.scopuseid_2-s2.0-84862907847-
dc.identifier.volume21-
dc.identifier.issue4-
dc.identifier.spage1309-
dc.identifier.epage1318-
dc.identifier.isiWOS:000298378500006-
dc.identifier.issnl1052-6234-

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