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Applied Mathematics and Optimization, Vol.58, No.2, 147-166, 2008
First and second-order approximations as derivatives of mappings in optimality conditions for nonsmooth vector optimization
First and second-order approximations are used to establish both necessary and sufficient optimality conditions for local weak efficiency and local firm efficiency in nonsmooth set-constrained vector problems. Even continuity and relaxed convexity assumptions are not imposed. Compactness conditions are also relaxed. Examples are provided to show advantages of the presented results over recent existing ones.
Keywords:first and second-order approximations;weak efficiency;firm efficiency;asymptotical pointwise compactness;optimality conditions