Volume 6, Number 1, January 2010, pp. 65-74
V. Jeyakumar, G.M. Lee and S. Srisatkunarajah
Key words:
quadratic programs, weighted least squares, global optimality conditions, mixed variables
Mathematices Subject Classification: 41A29, 90C20, 90C32
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Copyright© 2010 Yokohama Publishers
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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.
Distinguishing a global minimizer from local minimizers of quadratic minimization with mixed variables