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.
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.
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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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