Thorough, practical coverage of latest development in optimization theory and practice.
Explains the concept of optimal design and demonstrates the relationship between the mathematical model that describes a design and the solution methods that optimize it. This second edition takes into account developments in computer power and optimization, and includes a discussion of trust region and convex approximation algorithms. A new chapter focuses on how to construct optimal design 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. Papalambros teaches mechanical engineering at the University of Michigan-Ann Arbor. Wilde is affiliated with Stanford University. Annotation c. Book News, Inc., Portland, OR (booknews.com)