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    Weak sharp minima for semi-infinite optimization problems with applications

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    Weak Sharp Minima for Semi-infinite Optimization Problems with Applications

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    Complete Characterizations of Local Weak Sharp Minima With Applications to Semi-Infinite Optimization and Complementarity

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    In this paper we identify a favorable class of nonsmooth functions for which local weak sharp minima can be completely characterized in terms of normal cones and subdifferentials, or tangent cones and subderivatives, or their mixture in finite-dimensional spaces. The results obtained not only significantly extend previous ones in the literature, but also allow us to provide new types of criteria for local weak sharpness. Applications of the developed theory are given to semi-infinite programming and to semi-infinite complementarity problems
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