Technical Report CS0065

Title: Optimality Conditions For Convex Semi-infinite Programming Problems
Authors: A. Ben-Tal ,L. Kerzner and S. Zlobec
Abstract: This paper gives characterizations of optimal solutions for convex semi-infinate programming problems. These characterizations are free of a constraint qualification assumption. Thus they overcome the deficiencies of the semi-infinate versions of the Fritz John and the Kuhn-Tucker theories, which give only necessary or sufficient conditions for optimality, but not both. An application to the problem of the best linear Chebyshev approximation with constaints is demonstrated.
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