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 a
convex analysis and nonlinear optimization
- Publisher
- Springer
- Year
- 1999
- Tongue
- English
- Leaves
- 144
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<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
<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.