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
表中的内容
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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语言 英语 ● 格式 PDF ● 网页 310 ● ISBN 9780387312569 ● 出版者 Springer New York ● 市 NY ● 国家 US ● 发布时间 2010 ● 版 2 ● 下载 24 个月 ● 货币 EUR ● ID 2144688 ● 复制保护 Adobe DRM
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