Convex Optimization

Stephen Boyd

ISBN 10: 0521833787 / ISBN 13: 9780521833783

Verlag: Cambridge University Press, 2004

Beschreibung

2004. 1st Edition. Hardcover. A comprehensive introduction to the tools, techniques and applications of convex optimization. Num Pages: 727 pages, 337 exercises. BIC Classification: KCH; PBU; TJ; UY. Category: (P) Professional & Vocational. Dimension: 250 x 193 x 42. Weight in Grams: 1694. 730 pages, 337 exercises. A comprehensive introduction to the tools, techniques and applications of convex optimization. Cateogry: (P) Professional & Vocational. BIC Classification: KCH; PBU; TJ; UY. Dimension: 250 x 193 x 42. Weight: 1704. . . . . .

Bestandsnummer des Verkäufers V9780521833783

Bibliografische Details

• Titel: Convex Optimization
• Verlag: Cambridge University Press
• Erscheinungsjahr: 2004
• Sprache: Englisch
• ISBN-10: 0521833787
• ISBN-13: 9780521833783
• Einband: Hardcover
• Auflage: 1. Auflage
• Zustand: New

Über diesen Titel

Inhaltsangabe

The focus of this book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It 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.

Über die Autorinnen und Autoren

Stephen Boyd received his PhD from the University of California, Berkeley. Since 1985 he has been a member of the Electrical Engineering Department at Stanford University, where he is now Professor and Director of the Information Systems Laboratory. He has won numerous awards for teaching and research, and is a Fellow of the IEEE. He was one of the co-founders of Barcelona Design, and is the co-author of two previous books Linear Controller Design: Limits of Performance and Linear Matrix Inequalities in System and Control Theory.

Lieven Vandenberghe received his PhD from the Katholieke Universiteit, Leuven, Belgium, and is a Professor of Electrical Engineering at the University of California, Los Angeles. He has published widely in the field of optimization and is the recipient of a National Science Foundation CAREER award.