Distinguishing a global minimizer from local minimizers of quadratic minimization with mixed variables

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dc.contributor.authorJeyakumar, V.
dc.contributor.authorLee, G.M.
dc.contributor.authorSrisatkunarajah, S.
dc.date.accessioned2014-02-01T08:08:47Z
dc.date.accessioned2022-06-28T06:46:00Z
dc.date.available2014-02-01T08:08:47Z
dc.date.available2022-06-28T06:46:00Z
dc.date.issued2010-01
dc.description.abstractWe provide simple necessary, and sufficient conditions for a local minimizer to be a global minimizer of quadratic functions with mixed variables. We fully distinguish global minimizers from local minimizers in the case when the quadratic function is a sum of squares by providing a necessary and sufficient global optimality condition. We discuss examples to illustrate the significance of our conditions for identifying a global minimizer among local minimizers. Finally we apply our criteria for identifying global minimizers of a class of fractional programming problems.en_US
dc.identifier.issn13489151
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/167
dc.language.isoenen_US
dc.publisherYokohama Publishersen_US
dc.subjectGlobal optimality conditionsen_US
dc.subjectMixed vaen_US
dc.subjectQuadratic programsen_US
dc.subjectWeighted least squaresen_US
dc.titleDistinguishing a global minimizer from local minimizers of quadratic minimization with mixed variablesen_US
dc.typeArticleen_US

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