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Nonsmooth analysis

โœ Scribed by Schirotzek, Winfried

Publisher
Springer
Year
2007
Tongue
English
Leaves
380
Series
Universitext
Category
Library
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โœฆ Table of Contents

Preliminaries.- The Conjugate of Convex Functionals.- Classical Derivatives.- The Subdifferential of Convex Functionals.- Optimality Conditions for Convex Problems.- Duality of Convex Problems.- Derivatives and Subdifferentials of Lipschitz Functionals.- Variational Principles.- Subdifferentials of Lower Semicontinuous Functionals.- Multifunctions.- Tangent and Normal Cones.- Optimality Conditions for Nonconvex Problems.- Extremal Principles and More Normals and Subdifferentials.

โœฆ Subjects

Global analysis (Mathematics);Mathematics;Nichtglatte Analysis;Nonsmooth optimization

๐Ÿ“œ SIMILAR VOLUMES

Nonsmooth Analysis
๐Ÿ“ Nonsmooth Analysis
โœ Winfried Schirotzek ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

<P>The book treats various concepts of generalized derivatives and subdifferentials in normed spaces, their geometric counterparts (tangent and normal cones) and their application to optimization problems. It starts with the subdifferential of convex analysis, passes to corresponding concepts for lo

Nonsmooth Analysis
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โœ Winfried Schirotzek ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

<P>The book treats various concepts of generalized derivatives and subdifferentials in normed spaces, their geometric counterparts (tangent and normal cones) and their application to optimization problems. It starts with the subdifferential of convex analysis, passes to corresponding concepts for lo

Nonsmooth analysis
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โœ Schirotzek W. ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

This book treats various concepts of generalized derivatives and subdifferentials in normed spaces, their geometric counterparts and their application to optimization problems. It starts with the subdifferential of convex analysis, passes to corresponding concepts for locally Lipschitz continuous fu

Nonsmooth Analysis
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โœ Winfried Schirotzek ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

The book treats various concepts of generalized derivatives and subdifferentials in normed spaces, their geometric counterparts (tangent and normal cones) and their application to optimization problems. It starts with the subdifferential of convex analysis, passes to corresponding concepts for local