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First and Second Order Optimality Conditions Using Approximations for Nonsmooth Vector Optimization in Banach Spaces

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Abstract

We use the first and second order approximations of mappings to establish both necessary and sufficient optimality conditions for unconstrained and constrained nonsmooth vector optimization problems. Ideal solutions, efficient solutions, and weakly efficient solutions are considered. The data of the problems need not even be continuous. Some often imposed compactness assumptions are also relaxed. Examples are provided to compare our results and some known recent results.

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Communicated by F. Giannessi

This work was partially supported by the National Basic Research Program in Natural Sciences of Vietnam.

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Khanh, P.Q., Tuan, N.D. First and Second Order Optimality Conditions Using Approximations for Nonsmooth Vector Optimization in Banach Spaces. J Optim Theory Appl 130, 289–308 (2006). https://doi.org/10.1007/s10957-006-9103-y

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