Necessary and sufficient optimality conditions for reverse quasiconvex programs

 Sisarat, Nithirat and Wangkeeree, Rabian

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The goal of this paper is to examine both necessary and sufficient conditions for a specific feasible point to be a global minimizer for reverse quasiconvex programming problems. These results are obtained in terms of adequate approximate subdifferentials and can be viewed as the problem of a convex maximization problem constrained by a convex set. Sufficient conditions for optimality are also established in terms of the Greenberg-Pierskalla subdifferential. Illustrative examples are also given to illustrate the significance of the obtained results.



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 Sisarat, Nithirat, Wangkeeree, Rabian