An inexact interior point proximal method for the variational inequality problem

Detalhes bibliográficos
Autor(a) principal: Burachik,Regina S.
Data de Publicação: 2009
Outros Autores: Lopes,Jurandir O., Da Silva,Geci J.P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Computational & Applied Mathematics
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-03022009000100002
Resumo: We propose an infeasible interior proximal method for solving variational inequality problems with maximal monotone operators and linear constraints. The interior proximal method proposed by Auslender, Teboulle and Ben-Tiba [3] is a proximal method using a distance-like barrier function and it has a global convergence property under mild assumptions. However, this method is applicable only to problems whose feasible region has nonempty interior. The algorithm we propose is applicable to problems whose feasible region may have empty interior. Moreover, a new kind of inexact scheme is used. We present a full convergence analysis for our algorithm.
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spelling An inexact interior point proximal method for the variational inequality problemmaximal monotone operatorsouter approximation algorithminterior point methodglobal convergenceWe propose an infeasible interior proximal method for solving variational inequality problems with maximal monotone operators and linear constraints. The interior proximal method proposed by Auslender, Teboulle and Ben-Tiba [3] is a proximal method using a distance-like barrier function and it has a global convergence property under mild assumptions. However, this method is applicable only to problems whose feasible region has nonempty interior. The algorithm we propose is applicable to problems whose feasible region may have empty interior. Moreover, a new kind of inexact scheme is used. We present a full convergence analysis for our algorithm.Sociedade Brasileira de Matemática Aplicada e Computacional2009-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-03022009000100002Computational & Applied Mathematics v.28 n.1 2009reponame:Computational & Applied Mathematicsinstname:Sociedade Brasileira de Matemática Aplicada e Computacional (SBMAC)instacron:SBMAC10.1590/S0101-82052009000100002info:eu-repo/semantics/openAccessBurachik,Regina S.Lopes,Jurandir O.Da Silva,Geci J.P.eng2009-03-30T00:00:00Zoai:scielo:S1807-03022009000100002Revistahttps://www.scielo.br/j/cam/ONGhttps://old.scielo.br/oai/scielo-oai.php||sbmac@sbmac.org.br1807-03022238-3603opendoar:2009-03-30T00:00Computational & Applied Mathematics - Sociedade Brasileira de Matemática Aplicada e Computacional (SBMAC)false
dc.title.none.fl_str_mv An inexact interior point proximal method for the variational inequality problem
title An inexact interior point proximal method for the variational inequality problem
spellingShingle An inexact interior point proximal method for the variational inequality problem
Burachik,Regina S.
maximal monotone operators
outer approximation algorithm
interior point method
global convergence
title_short An inexact interior point proximal method for the variational inequality problem
title_full An inexact interior point proximal method for the variational inequality problem
title_fullStr An inexact interior point proximal method for the variational inequality problem
title_full_unstemmed An inexact interior point proximal method for the variational inequality problem
title_sort An inexact interior point proximal method for the variational inequality problem
author Burachik,Regina S.
author_facet Burachik,Regina S.
Lopes,Jurandir O.
Da Silva,Geci J.P.
author_role author
author2 Lopes,Jurandir O.
Da Silva,Geci J.P.
author2_role author
author
dc.contributor.author.fl_str_mv Burachik,Regina S.
Lopes,Jurandir O.
Da Silva,Geci J.P.
dc.subject.por.fl_str_mv maximal monotone operators
outer approximation algorithm
interior point method
global convergence
topic maximal monotone operators
outer approximation algorithm
interior point method
global convergence
description We propose an infeasible interior proximal method for solving variational inequality problems with maximal monotone operators and linear constraints. The interior proximal method proposed by Auslender, Teboulle and Ben-Tiba [3] is a proximal method using a distance-like barrier function and it has a global convergence property under mild assumptions. However, this method is applicable only to problems whose feasible region has nonempty interior. The algorithm we propose is applicable to problems whose feasible region may have empty interior. Moreover, a new kind of inexact scheme is used. We present a full convergence analysis for our algorithm.
publishDate 2009
dc.date.none.fl_str_mv 2009-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-03022009000100002
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-82052009000100002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
dc.source.none.fl_str_mv Computational & Applied Mathematics v.28 n.1 2009
reponame:Computational & Applied Mathematics
instname:Sociedade Brasileira de Matemática Aplicada e Computacional (SBMAC)
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