Generalized Convexity and Vector Optimization
Título:
Generalized Convexity and Vector Optimization
ISBN:
9783540856719
Autor Pessoal:
Edição:
1st ed. 2009.
PRODUCTION_INFO:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Descrição Física:
X, 294 p. online resource.
Série:
Nonconvex Optimization and Its Applications ; 90
Conteúdo:
Generalized Convex Functions -- Generalized Type I and Related Functions -- Optimality Conditions -- Duality Theory -- Second and Higher Order Duality -- Symmetric Duality -- Vector Variational-like Inequality Problems.
Resumo:
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.
Autor Corporativo Adicionado:
LANGUAGE:
Inglês