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

Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/167

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DC Field	Value	Language
dc.contributor.author	Jeyakumar, V
dc.contributor.author	Lee, G.M
dc.contributor.author	Srisatkunarajah, S
dc.date.accessioned	2014-02-01T08:08:47Z
dc.date.accessioned	2022-06-28T06:46:00Z	-
dc.date.available	2014-02-01T08:08:47Z
dc.date.available	2022-06-28T06:46:00Z	-
dc.date.issued	2010-01
dc.identifier.issn	13489151
dc.identifier.uri	http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/167	-
dc.description.abstract	We 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.language.iso	en	en_US
dc.publisher	Yokohama Publishers	en_US
dc.subject	Global optimality conditions	en_US
dc.subject	Mixed va	en_US
dc.subject	Quadratic programs	en_US
dc.subject	Weighted least squares	en_US
dc.title	Distinguishing a global minimizer from local minimizers of quadratic minimization with mixed variables	en_US
dc.type	Article	en_US
Appears in Collections:	Mathematics and Statistics

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