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dc.contributor.author김선영*
dc.date.accessioned2016-08-28T11:08:31Z-
dc.date.available2016-08-28T11:08:31Z-
dc.date.issued2003*
dc.identifier.issn1055-6788*
dc.identifier.otherOAK-1720*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/219333-
dc.description.abstractThe positive semidefinite constraint for the variable matrix in semidefinite programming (SDP) relaxation is further relaxed by a finite number of second order cone constraints in second order cone programming (SOCP) relaxations. A few types of SOCP relaxations are obtained from different ways of expressing the positive semidefinite constraint of the SDP relaxation. We present how such SOCP relaxations can be derived, and show the relationship between the resulting SOCP relaxations.*
dc.languageEnglish*
dc.titleSecond order cone programming relaxation of a positive semidefinite constraint*
dc.typeArticle*
dc.relation.issue5*
dc.relation.volume18*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage535*
dc.relation.lastpage541*
dc.relation.journaltitleOptimization Methods and Software*
dc.identifier.doi10.1080/1055678031000148696*
dc.identifier.wosidWOS:000186543800002*
dc.identifier.scopusid2-s2.0-0242695798*
dc.author.googleKim S.*
dc.author.googleKojima M.*
dc.author.googleYamashita M.*
dc.contributor.scopusid김선영(57221275622)*
dc.date.modifydate20231116113048*
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자연과학대학 > 수학전공 > Journal papers
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