Generalized Convexity and Vector Optimization [electronic resource] / by Shashi Kant Mishra, Shou-Yang Wang, Kin Keung Lai.

By:

Mishra, Shashi Kant [author.]

Contributor(s):

Series: Nonconvex Optimization and Its Applications ; 90Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009Description: X, 294 p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783540856719

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

515.96 23

LOC classification:

QA404.7-405

Online resources:

Click here to access online

Contents:

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.

In: Springer eBooksSummary: 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.

Item type:

eBooks

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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.