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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
विषयसूची
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.
भाषा अंग्रेज़ी ● स्वरूप PDF ● पेज 310 ● ISBN 9780387312569 ● प्रकाशक Springer New York ● शहर NY ● देश US ● प्रकाशित 2010 ● संस्करण 2 ● डाउनलोड करने योग्य 24 महीने ● मुद्रा EUR ● आईडी 2144688 ● कॉपी सुरक्षा Adobe DRM
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