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.
|Publisher:||Cambridge University Press|
|Edition description:||Older Edition|
|Product dimensions:||6.97(w) x 9.96(h) x 0.94(d)|
About the Author
Panos Y. Papalambros is the J. B. Angell Distinguished University Professor and the Donald C. Graham Professor of Engineering, and holds additional professorships in Mechanical Engineering, Art and Design, and Architecture at the University of Michigan. His research and teaching interests are in design science and design optimization. He is the author of more than 350 research publications. He served as the Chief Editor of the ASME Journal of Mechanical Design (2008-2012) and is the founding Chief Editor of the Design Science journal.
Douglass J. Wilde is Professor Emeritus of Mechanical Engineering at Stanford University, California. He conducted research in optimization, computational geometry, and control theory. On retirement he began exploring student team building in design contests. In addition to previous editions of Principles of Optimal Design, he has written two books, Teamology (2009) and Jung's Personality Theory Quantified (2011).
Table of Contents
Preface; Notation; List of symbols; 1. Optimization models; 2. Model construction; 3. Model boundedness; 4. Interior optima; 5. Boundary optima; 6. Parametric and discrete optima; 7. Local computation; 8. Principles and practice; References; Author index; Subject index.