An Introduction to Optimization - Rilegato

Chong, Edwin K. P.; Zak, Stanislaw

Rilegato

ISBN 10: 0471089494 ISBN 13: 9780471089490

Casa editrice: John Wiley & Sons Inc, 1995

Riassunto

Provides readers with a working knowledge of optimization theory and techniques to equip them with sufficient background for further study of advanced topics in this subject. Reviews basic definitions, notations and relations from linear algebra, geometry and calculus, followed by unconstrained optimization problems. The last two segments deal with constrained optimization. Features scores of worked examples that illustrate the theory and algorithms discussed in the text.

Su questo libro

L'autore

Edwin K. P. Chong received his PhD from Princeton University, where he held an IBM Graduate Fellowship. He is currently on the faculty of the School of Electrical Engineering at Purdue University.

Stanislaw H. Zak received his PhD from the Technical University of Warsaw, Poland. An Associate Editor of Dynamics and Control and the IEEE Transactions on Neural Networks, he is currently on the faculty of the School of Electrical Engineering at Purdue University.

Dalla quarta di copertina

An up–to–date, accessible introduction to an increasingly important field

This timely and authoritative book fills a growing need for an introductory text to optimization methods and theory at the senior undergraduate and beginning graduate levels. With consistently accessible and elementary treatment of all topics, An Introduction to Optimization helps students build a solid working knowledge of the field, including unconstrained optimization, linear programming, and constrained optimization.

Supplemented with more than one hundred tables and illustrations, an extensive bibliography, and numerous worked–out examples to illustrate both theory and algorithms, this book also provides:

• A review of the required mathematical background material
• A mathematical discussion at a level accessible to MBA and business students
• A treatment of both linear and nonlinear programming
• An introduction to the most recent developments, including neural networks, genetic algorithms, and the nonsimplex method of Karmarkar
• A chapter on the use of descent algorithms for the training of feedforward neural networks
• Exercise problems after every chapter
• MATLAB exercises and examples
• An optional solutions manual with MATLAB source listings

This book helps students prepare for the advanced topics and technological developments that lie ahead. It is also a useful book for researchers and professionals in mathematics, electrical engineering, economics, statistics, and business.

Dettagli dell?edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 1995
• ISBN 10: 0471089494
• ISBN 13: 9780471089490
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 432