Convex analysis and nonlinear optimization: Theory and examples

Convex analysis and nonlinear optimizati

📁 Convex analysis and nonlinear optimization: Theory and examples

✍ Jonathan M. Borwein, Adrian S. Lewis 📂 Library 📅 2006 🏛 Springer 🌐 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 audien

Convex analysis and nonlinear optimizati

📁 Convex analysis and nonlinear optimization: theory and examples

✍ Jonathan M. Borwein, Adrian S. Lewis 📂 Library 📅 2006 🏛 Birkhäuser 🌐 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.

Convex Analysis and Nonlinear Optimizati

📁 Convex Analysis and Nonlinear Optimization: Theory and Examples

✍ Jonathan M. Borwein, Adrian S. Lewis (auth.) 📂 Library 📅 2000 🏛 Springer New York 🌐 English

Convex Analysis and Nonlinear Optimizati

📁 Convex Analysis and Nonlinear Optimization: Theoryand Examples

✍ Jonathan Borwein, Adrian Lewis (auth.) 📂 Library 📅 2006 🏛 Springer-Verlag New York 🌐 English

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

Convex Analysis N Nonlinear Optimization

📁 Convex Analysis N Nonlinear Optimization Theory N Examples

✍ Borweinjm Lewisas 📂 Library 📅 2000 🏛 Springer 🌐 English

Convex Analysis and Nonlinear Optimizati

📁 Convex Analysis and Nonlinear Optimization: Theory and Examples - Second edition (CMS Books in Mathematics)

✍ Jonathan M. Borwein, Adrian S. Lewis 📂 Library 📅 2005 🌐 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.