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Lipschitz behavior of convex semi-infinite optimization problems: a variational approach
Authors:Maria J. Cánovas  Abderrahim Hantoute  Marco A. López  Juan Parra
Affiliation:(1) Operations Research Center, Miguel Hernández University of Elche, 03202 Elche, Alicante, Spain;(2) Department of Statistics and Operations Research, University of Alicante, 03071 Alicante, Spain
Abstract:In this paper we make use of subdifferential calculus and other variational techniques, traced out from [Ioffe, A.D.: Metric regularity and subdifferential calculus. Uspekhi Mat. Nauk 55, 3(333), 103–162; Engligh translation Math. Surveys 55, 501–558 (2000); Ioffe, A.D.: On rubustness of the regularity property of maps. Control cybernet 32, 543–554 (2003)], to derive different expressions for the Lipschitz modulus of the optimal set mapping of canonically perturbed convex semi-infinite optimization problems. In order to apply this background for obtaining the modulus of metric regularity of the associated inverse multifunction, we have to analyze the stable behavior of this inverse mapping. In our semi-infinite framework this analysis entails some specific technical difficulties. We also provide a new expression of a global variational nature for the referred regularity modulus.
Keywords:Convex semi-infinite programming  Metric regularity  Optimal set  Lipschitz modulus
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