Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/167
Title: Distinguishing a global minimizer from local minimizers of quadratic minimization with mixed variables
Authors: Jeyakumar, V
Lee, G.M
Srisatkunarajah, S
Keywords: Global optimality conditions;Mixed va;Quadratic programs;Weighted least squares
Issue Date: Jan-2010
Publisher: Yokohama Publishers
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.
URI: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/167
ISSN: 13489151
Appears in Collections:Mathematics and Statistics



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