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  3. Principles of Optimal Design
  • This edition has been replaced by: 9781316451038
  • This book is no longer available to purchase from Cambridge Core
  • Cited by 363
Publisher:
Cambridge University Press
Online publication date:
January 2010
Print publication year:
2000
Online ISBN:
9780511626418
DOI:
https://doi.org/10.1017/CBO9780511626418
Subjects:
Engineering, Engineering Design, Kinematics, and Robotics, Control Systems and Optimisation
Information

Book description

Principles of Optimal Design puts the concept of optimal design on a rigorous foundation and demonstrates the intimate relationship between the mathematical model that describes a design and the solution methods that optimize it. 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 includes a discussion of 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. Both students and practising engineers will find this book a valuable resource for design project work.

Reviews

‘Principles of Optimal Design by Papalambros and Wilde is unique in terms of its potential usefulness in the classroom setting … Overall the present book is an excellent text for engineering students. it is well organised, clearly presented and generously illustrated … the book is strongly recommended for everyone who wants to learn the subject at a gentle pace.’

Atul Bhaskar Source: The Aeronautical Journal

‘This book is undoubtedly a valuable reference for students, academics, researchers, and industrial engineers interested in optimization design.’

Source: Iasi Polytechnic Magazine

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