Generalized convexity and vector optimization

Generalized convexity and vector optimization

Mishra, S.K.
Wang, S.
Lai, K.K.

119,55 €(IVA inc.)

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. Reader will come to know about the present status of the research in this hot area of research field Reader does not have to consult various research papers from different journals Will provide the reader the present state of knowledge on research done in this area so far INDICE: Introduction and Motivation.- Generalized Convex Functions.- Type I and Related Functions.- Optimality Conditions.- Duality Theory.- Second and Higher Order Duality.- Symmetric Duality.- Vector Variational-like Inequality Problems.

  • ISBN: 978-3-540-85670-2
  • Editorial: Springer
  • Encuadernacion: Cartoné
  • Páginas: 450
  • Fecha Publicación: 01/12/2008
  • Nº Volúmenes: 1
  • Idioma: Inglés