Convex Analysis and Nonlinear Optimization: Theory and Examples
β Scribed by Jonathan M. Borwein, Adrian S. Lewis (auth.)
- Publisher
- Springer New York
- Year
- 2000
- Tongue
- English
- Leaves
- 281
- Series
- CMS Books in Mathematics / Ouvrages de mathΓ©matiques de la SMC
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Front Matter....Pages i-x
Background....Pages 1-14
Inequality Constraints....Pages 15-32
Fenchel Duality....Pages 33-63
Convex Analysis....Pages 65-96
Special Cases....Pages 97-122
Nonsmooth Optimization....Pages 123-152
Karush-Kuhn-Tucker Theory....Pages 153-177
Fixed Points....Pages 179-208
Postscript: Infinite Versus Finite Dimensions....Pages 209-220
List of Results and Notation....Pages 221-240
Back Matter....Pages 241-273
β¦ Subjects
Analysis
π SIMILAR VOLUMES
<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
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.
<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
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.