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Article: An inexact parallel splitting augmented Lagrangian method for monotone variational inequalities with separable structures

TitleAn inexact parallel splitting augmented Lagrangian method for monotone variational inequalities with separable structures
Authors
KeywordsProximal point method
Prediction-correction method
Parallel method
Augmented Lagrangian method
Variational inequalities
Splitting method
Issue Date2012
Citation
Computational Optimization and Applications, 2012, v. 52, n. 2, p. 439-461 How to Cite?
AbstractSplitting methods have been extensively studied in the context of convex programming and variational inequalities with separable structures. Recently, a parallel splitting method based on the augmented Lagrangian method (abbreviated as PSALM) was proposed in He (Comput. Optim. Appl. 42:195-212, 2009) for solving variational inequalities with separable structures. In this paper, we propose the inexact version of the PSALM approach, which solves the resulting subproblems of PSALM approximately by an inexact proximal point method. For the inexact PSALM, the resulting proximal subproblems have closed-form solutions when the proximal parameters and inexact terms are chosen appropriately. We show the efficiency of the inexact PSALM numerically by some preliminary numerical experiments. © 2011 Springer Science+Business Media, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/250991
ISSN
2023 Impact Factor: 1.6
2023 SCImago Journal Rankings: 1.322
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTao, Min-
dc.contributor.authorYuan, Xiaoming-
dc.date.accessioned2018-02-01T01:54:16Z-
dc.date.available2018-02-01T01:54:16Z-
dc.date.issued2012-
dc.identifier.citationComputational Optimization and Applications, 2012, v. 52, n. 2, p. 439-461-
dc.identifier.issn0926-6003-
dc.identifier.urihttp://hdl.handle.net/10722/250991-
dc.description.abstractSplitting methods have been extensively studied in the context of convex programming and variational inequalities with separable structures. Recently, a parallel splitting method based on the augmented Lagrangian method (abbreviated as PSALM) was proposed in He (Comput. Optim. Appl. 42:195-212, 2009) for solving variational inequalities with separable structures. In this paper, we propose the inexact version of the PSALM approach, which solves the resulting subproblems of PSALM approximately by an inexact proximal point method. For the inexact PSALM, the resulting proximal subproblems have closed-form solutions when the proximal parameters and inexact terms are chosen appropriately. We show the efficiency of the inexact PSALM numerically by some preliminary numerical experiments. © 2011 Springer Science+Business Media, LLC.-
dc.languageeng-
dc.relation.ispartofComputational Optimization and Applications-
dc.subjectProximal point method-
dc.subjectPrediction-correction method-
dc.subjectParallel method-
dc.subjectAugmented Lagrangian method-
dc.subjectVariational inequalities-
dc.subjectSplitting method-
dc.titleAn inexact parallel splitting augmented Lagrangian method for monotone variational inequalities with separable structures-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10589-011-9417-z-
dc.identifier.scopuseid_2-s2.0-84861879364-
dc.identifier.volume52-
dc.identifier.issue2-
dc.identifier.spage439-
dc.identifier.epage461-
dc.identifier.eissn1573-2894-
dc.identifier.isiWOS:000304697000007-
dc.identifier.issnl0926-6003-

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