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Article: Some proximal algorithms for linearly constrained general variational inequalities

TitleSome proximal algorithms for linearly constrained general variational inequalities
Authors
Li, M.Yuan, X. M.
Keywordsinexact methods
general variational inequality
proximal point algorithm
linear constraint
Issue Date2012
Citation
Optimization, 2012, v. 61, n. 5, p. 505-524 How to Cite?
DOI: http://dx.doi.org/10.1080/02331934.2010.522714
AbstractBased on the classical proximal point algorithm (PPA), some PPA-based numerical algorithms for general variational inequalities (GVIs) have been developed recently. Inspired by these algorithms, in this article we propose some proximal algorithms for solving linearly constrained GVIs (LCGVIs). The resulted subproblems are regularized proximally, and they are allowed to be solved either exactly or approximately. © 2012 Copyright Taylor and Francis Group, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/250986
ISSN
0233-1934
2021 Impact Factor: 2.456
2020 SCImago Journal Rankings: 0.906
ISI Accession Number ID
WOS:000304274700002

 

DC FieldValueLanguage
dc.contributor.authorLi, M.-
dc.contributor.authorYuan, X. M.-
dc.date.accessioned2018-02-01T01:54:15Z-
dc.date.available2018-02-01T01:54:15Z-
dc.date.issued2012-
dc.identifier.citationOptimization, 2012, v. 61, n. 5, p. 505-524-
dc.identifier.issn0233-1934-
dc.identifier.urihttp://hdl.handle.net/10722/250986-
dc.description.abstractBased on the classical proximal point algorithm (PPA), some PPA-based numerical algorithms for general variational inequalities (GVIs) have been developed recently. Inspired by these algorithms, in this article we propose some proximal algorithms for solving linearly constrained GVIs (LCGVIs). The resulted subproblems are regularized proximally, and they are allowed to be solved either exactly or approximately. © 2012 Copyright Taylor and Francis Group, LLC.-
dc.languageeng-
dc.relation.ispartofOptimization-
dc.subjectinexact methods-
dc.subjectgeneral variational inequality-
dc.subjectproximal point algorithm-
dc.subjectlinear constraint-
dc.titleSome proximal algorithms for linearly constrained general variational inequalities-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/02331934.2010.522714-
dc.identifier.scopuseid_2-s2.0-84859587064-
dc.identifier.volume61-
dc.identifier.issue5-
dc.identifier.spage505-
dc.identifier.epage524-
dc.identifier.eissn1029-4945-
dc.identifier.isiWOS:000304274700002-
dc.identifier.issnl0233-1934-

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