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Jonathan Borwein & Adrian S. Lewis 
Convex Analysis and Nonlinear Optimization 
Theory and Examples

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Cover of Jonathan Borwein & Adrian S. Lewis: Convex Analysis and Nonlinear Optimization (PDF)
Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated. This book aims to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. Each section concludes with an often extensive set of optional exercises. This new edition adds material on semismooth optimization, as well as several new proofs.
€64.15
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Table of Content

Background.- Inequality constraints.- Fenchel duality.- Convex analysis.- Special cases.- Nonsmooth optimization.- The Karush-Kuhn-Tucker Theorem.- Fixed points.- Postscript: infinite versus finite dimensions.- List of results and notation.
Language English ● Format PDF ● Pages 310 ● ISBN 9780387312569 ● Publisher Springer New York ● City NY ● Country US ● Published 2010 ● Edition 2 ● Downloadable 24 months ● Currency EUR ● ID 2144688 ● Copy protection Adobe DRM
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