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Article: Proximal point algorithms for general variational inequalities

TitleProximal point algorithms for general variational inequalities
Authors
Li, M.Liao, L. Z.Yuan, X. M.
KeywordsProximal point algorithms
General variational inequality
Inexact versions
Issue Date2009
Citation
Journal of Optimization Theory and Applications, 2009, v. 142, n. 1, p. 125-145 How to Cite?
DOI: http://dx.doi.org/10.1007/s10957-009-9532-5
AbstractThis paper presents a unified framework of proximal point algorithms (PPAs) for solving general variational inequalities (GVIs). Some existing PPAs for classical variational inequalities, including both the exact and inexact versions, are extended to solving GVIs. Consequently, several new PPA-based algorithms are proposed. © Springer Science+Business Media, LLC 2009.
Persistent Identifierhttp://hdl.handle.net/10722/250929
ISSN
0022-3239
2021 Impact Factor: 2.189
2020 SCImago Journal Rankings: 1.109
ISI Accession Number ID
WOS:000267785200007

 

DC FieldValueLanguage
dc.contributor.authorLi, M.-
dc.contributor.authorLiao, L. Z.-
dc.contributor.authorYuan, X. M.-
dc.date.accessioned2018-02-01T01:54:06Z-
dc.date.available2018-02-01T01:54:06Z-
dc.date.issued2009-
dc.identifier.citationJournal of Optimization Theory and Applications, 2009, v. 142, n. 1, p. 125-145-
dc.identifier.issn0022-3239-
dc.identifier.urihttp://hdl.handle.net/10722/250929-
dc.description.abstractThis paper presents a unified framework of proximal point algorithms (PPAs) for solving general variational inequalities (GVIs). Some existing PPAs for classical variational inequalities, including both the exact and inexact versions, are extended to solving GVIs. Consequently, several new PPA-based algorithms are proposed. © Springer Science+Business Media, LLC 2009.-
dc.languageeng-
dc.relation.ispartofJournal of Optimization Theory and Applications-
dc.subjectProximal point algorithms-
dc.subjectGeneral variational inequality-
dc.subjectInexact versions-
dc.titleProximal point algorithms for general variational inequalities-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10957-009-9532-5-
dc.identifier.scopuseid_2-s2.0-70349904779-
dc.identifier.volume142-
dc.identifier.issue1-
dc.identifier.spage125-
dc.identifier.epage145-
dc.identifier.eissn1573-2878-
dc.identifier.isiWOS:000267785200007-
dc.identifier.issnl0022-3239-

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