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dc.contributor.authorZhang, S.
dc.contributor.authorAng, J.
dc.contributor.authorSun, Jie
dc.date.accessioned2017-01-30T15:18:43Z
dc.date.available2017-01-30T15:18:43Z
dc.date.created2014-09-02T20:01:17Z
dc.date.issued2013
dc.identifier.citationZhang, S. and Ang, J. and Sun, J. 2013. An alternating direction method for solving convex nonlinear semidefinite programming problems. Optimization. 62 (4): pp. 527-543.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/45136
dc.identifier.doi10.1080/02331934.2011.611883
dc.description.abstract

An alternating direction method is proposed for solving convex semidefinite optimization problems. This method only computes several metric projections at each iteration. Convergence analysis is presented and numerical experiments in solving matrix completion problems are reported.

dc.publisherTaylor & Francis Ltd.
dc.titleAn alternating direction method for solving convex nonlinear semidefinite programming problems
dc.typeJournal Article
dcterms.source.volume62
dcterms.source.startPage527
dcterms.source.endPage543
dcterms.source.issn0233-1934
dcterms.source.titleOptimization
curtin.note

This is an Author's Accepted Manuscript of an article published in Optimization (2013), copyright Taylor & Francis, available online at: <a href="http://www.tandfonline.com/10.1080/02331934.2011.611883">http://www.tandfonline.com/10.1080/02331934.2011.611883</a>.

curtin.accessStatusOpen access


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