Principles of Optimal Design 2ed: Modeling and Computation

Papalambros, Panos Y.:

ISBN 10: 0521627273 / ISBN 13: 9780521627276

Published by Cambridge University Press, 2000

About this Item

416 Seiten Bibliothek-Ex. Stempel Seiten sauber. Einband leicht geknickt. K1-3-4-4 Wir akzeptieren nur Vorkasse. Sprache: Englisch Gewicht in Gramm: 914 15,2 x 3,0 x 22,9 cm, Taschenbuch.

Seller Inventory # 77497

Bibliographic Details

• Title: Principles of Optimal Design 2ed: Modeling and Computation
• Publisher: Cambridge University Press
• Publication Date: 2000
• Language: English
• ISBN 10: 0521627273
• ISBN 13: 9780521627276
• Binding: Soft cover
• Edition: 2. Auflage: 2000.
• Condition: Gut
• Weight: 914 grams
• Seller catalogs:
  • Populäre Belletristik

About this title

Synopsis

Since the first edition was published, computers have become ever more powerful, design engineers are tackling more complex systems, and the term "optimization" is now routinely used to denote a design process with increased speed and quality. This second edition takes account of these developments and brings the original text thoroughly up to date. The book now discusses trust region and convex approximation algorithms. A new chapter focuses on how to construct optimal design models. Three new case studies illustrate the creation of optimization models. The final chapter on optimization practice has been expanded to include computation of derivatives, interpretation of algorithmic results, and selection of algorithms and software.

Book Description

As computers have become more powerful, design engineers have been able to tackle more complex systems, and the term "optimization" is now routinely used to denote a design process with increased speed and quality . This second edition of Principles of Optimal Design takes account of these developments and brings the original text thoroughly up to date. New material includes a discussion of trust region and convex approximation algorithms, how to construct optimal design models, case studies to illustrate the creation of optimization models, and an expanded chapter on computation of derivatives, interpretation of algorithmic results, and selection of algorithms and software.