Convex Optimization
โ Stephen Boyd, Lieven Vandenberghe
๐ Library
๐
2004
๐ Cambridge University Press
๐ English
โฆ LIBER โฆ
๐
Convex Optimization
โ Scribed by Stephen Boyd, Lieven Vandenberghe
- Publisher
- Cambridge University Press
- Year
- 2004
- Tongue
- English
- Leaves
- 730
- Category
- Library
โฌ Acquire This Volume
No coin nor oath required. For personal study only.
โฆ Synopsis
Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.
๐ SIMILAR VOLUMES
Convex Optimization
โ Stephen Boyd, Lieven Vandenberghe
๐ Library
๐
2004
๐ Cambridge University Press
๐ English
Convex optimization
โ Boyd S., Vandenberghe L.
๐ Library
๐
2004
๐ CUP
๐ English
Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropr
Convex Optimization
โ Stephen Boyd, Lieven Vandenberghe
๐ Library
๐
2004
๐ Cambridge University Press
๐ English
Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropr
Convex Optimization
โ S. Boyd, L. Vandenberghe
๐ Library
๐
2009
๐ Cambridge
๐ English
Convex Optimization
โ Boyd S., Vandenberghe L.
๐ Library
๐
2004
๐ Cambridge University Press
๐ English
Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropr