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Conference Paper: Solving a class of matrix minimization problems by linear variational inequality approaches

TitleSolving a class of matrix minimization problems by linear variational inequality approaches
Authors
KeywordsProjection and contraction method
Matrix minimization
Issue Date2011
Citation
Linear Algebra and Its Applications, 2011, v. 434, n. 11, p. 2343-2352 How to Cite?
AbstractA class of matrix optimization problems can be formulated as a linear variational inequalities with special structures. For solving such problems, the projection and contraction method (PC method) is extended to variational inequalities with matrix variables. Then the main costly computational load in PC method is to make a projection onto the semi-definite cone. Exploiting the special structures of the relevant variational inequalities, the Levenberg-Marquardt type projection and contraction method is advantageous. Preliminary numerical tests up to 1000×1000 matrices indicate that the suggested approach is promising. © 2011 Published by Elsevier Inc.
Persistent Identifierhttp://hdl.handle.net/10722/250967
ISSN
2020 Impact Factor: 1.401
2020 SCImago Journal Rankings: 0.951
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTao, Min-
dc.contributor.authorYuan, Xiao Ming-
dc.contributor.authorHe, Bing Sheng-
dc.date.accessioned2018-02-01T01:54:12Z-
dc.date.available2018-02-01T01:54:12Z-
dc.date.issued2011-
dc.identifier.citationLinear Algebra and Its Applications, 2011, v. 434, n. 11, p. 2343-2352-
dc.identifier.issn0024-3795-
dc.identifier.urihttp://hdl.handle.net/10722/250967-
dc.description.abstractA class of matrix optimization problems can be formulated as a linear variational inequalities with special structures. For solving such problems, the projection and contraction method (PC method) is extended to variational inequalities with matrix variables. Then the main costly computational load in PC method is to make a projection onto the semi-definite cone. Exploiting the special structures of the relevant variational inequalities, the Levenberg-Marquardt type projection and contraction method is advantageous. Preliminary numerical tests up to 1000×1000 matrices indicate that the suggested approach is promising. © 2011 Published by Elsevier Inc.-
dc.languageeng-
dc.relation.ispartofLinear Algebra and Its Applications-
dc.subjectProjection and contraction method-
dc.subjectMatrix minimization-
dc.titleSolving a class of matrix minimization problems by linear variational inequality approaches-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.laa.2010.11.041-
dc.identifier.scopuseid_2-s2.0-79952624785-
dc.identifier.volume434-
dc.identifier.issue11-
dc.identifier.spage2343-
dc.identifier.epage2352-
dc.identifier.isiWOS:000289497700009-
dc.identifier.issnl0024-3795-

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