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Jonathan Borwein & Adrian S. Lewis
Convex Analysis and Nonlinear Optimization [PDF ebook]
Theory and Examples

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Portada de 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

Tabla de materias

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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Idioma Inglés ● Formato PDF ● Páginas 310 ● ISBN 9780387312569 ● Editorial Springer New York ● Ciudad NY ● País US ● Publicado 2010 ● Edición 2 ● Descargable 24 meses ● Divisa EUR ● ID 2144688 ● Protección de copia Adobe DRM

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