Polyaks subgradient method with simplified projection for nondifferentiable optimization with linear constraints

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dc.contributor.authorKim, Sehunko
dc.contributor.authorBong-Sik Umko
dc.date.accessioned2013-02-25T03:59:59Z-
dc.date.available2013-02-25T03:59:59Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1989-
dc.identifier.citationOPTIMIZATION, v.20, no.4, pp.451 - 456-
dc.identifier.issn0233-1934-
dc.identifier.urihttp://hdl.handle.net/10203/59687-
dc.description.abstractThe projection operation required in the Polyaks subgradient method for nondifferentiable optimization problems with linear constraints is simplified. The modified method finds a new search direction in the cone of feasible directions at the current point. This greatly reduces the dimension of the projection operation. A computational test shows significant improvement in the computational efficiency.-
dc.languageEnglish-
dc.publisherTaylor & Francis Ltd-
dc.titlePolyaks subgradient method with simplified projection for nondifferentiable optimization with linear constraints-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume20-
dc.citation.issue4-
dc.citation.beginningpage451-
dc.citation.endingpage456-
dc.citation.publicationnameOPTIMIZATION-
dc.contributor.localauthorKim, Sehun-
dc.contributor.nonIdAuthorBong-Sik Um-
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IE-Journal Papers(저널논문)
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