11/02/2011

Principles of Optimal Design: Modeling and Computation Review

Principles of Optimal Design: Modeling and Computation
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The topic -- Optimal Design -- is difficult and treating it efficiently requires a high ratio of mathematical expressions to prose. Despite this, the authors' prose is superb. This is a very readable advanced engineering text, provided that the reader is well-versed in linear algebra. A lot of care went into the writing, the design, and the consistent use of symbols throughout. The appendix includes and extensive list of references, an author index and a subject index. One shortcoming is that no solutions are given for problems. Students would benefit from having solutions to some subset of the problems.

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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.

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