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| Generalized Convexity and Vector Optimizationdate: 13 марта 2010 / author: izograv / views: 774 / comments: 0 Generalized Convexity and Vector Optimization by Shashi Kant Mishra, Shouyang Wang, and Kin Keung Lai The present book discusses the Kuhn-Tucker Optimality, Karush-Kuhn-Tucker Necessary and Sufficient Optimality Conditions in presence of various types of generalized convexity assumptions. Wolfe-type Duality, Mond-Weir type Duality, Mixed type Duality for Multiobjective optimization problems such as Nonlinear programming problems, Fractional programming problems, Nonsmooth programming problems, Nondifferentiable programming problems, Variational and Control problems under various types of generalized convexity assumptions.
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