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Convex analysis and nonlinear optimization

✍ Scribed by Borwein J.M., Lewis A.S.


Year
2000
Tongue
English
Leaves
310
Edition
draft
Category
Library

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✦ Synopsis


Optimization is a rich and thriving mathematical discipline. The theory underlying current computational optimization techniques grows ever more sophisticated. The powerful and elegant language of convex analysis unifies much of this theory. The aim of this book is to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. It can serve as a teaching text, at roughly the level of first year graduate students. While the main body of the text is self-contained, each section concludes with an often extensive set of optional exercises. The new edition adds material on semismooth optimization, as well as several new proofs that will make this book even more self-contained.


πŸ“œ SIMILAR VOLUMES


Convex Analysis and Nonlinear Optimizati
✍ Jonathan Borwein, Adrian Lewis (auth.) πŸ“‚ Library πŸ“… 2006 πŸ› Springer-Verlag New York 🌐 English

<p><P>A cornerstone of modern optimization and analysis, convexity pervades applications ranging through engineering and computation to finance. </P><P>This concise introduction to convex analysis and its extensions aims at first year graduate students, and includes many guided exercises. The correc

Convex analysis and nonlinear optimizati
✍ Jonathan M. Borwein, Adrian S. Lewis πŸ“‚ Library πŸ“… 2006 πŸ› Springer 🌐 English

<P>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 audien

Convex analysis and nonlinear optimizati
✍ Jonathan M. Borwein, Adrian S. Lewis πŸ“‚ Library πŸ“… 2006 πŸ› BirkhΓ€user 🌐 English

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.