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Principles of Optimal Design: Modeling and Computation
Download Principles of Optimal Design: Modeling and Computation
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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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Product details
Hardcover: 412 pages
Publisher: Cambridge University Press; 2 edition (July 10, 2000)
Language: English
ISBN-10: 0521622158
ISBN-13: 978-0521622158
Product Dimensions:
7.3 x 1.1 x 10.4 inches
Shipping Weight: 2 pounds
Average Customer Review:
4.0 out of 5 stars
5 customer reviews
Amazon Best Sellers Rank:
#20,030,089 in Books (See Top 100 in Books)
its hard to understand - too conceptual - difficult for some with less experience to use
Very easy undetstanding
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.
I am a mechanical engineering major studying for my Masters. This book seems very math-centric. More abstract than practical. However if you need to look under the hood of optimization and are good with symbolic math including gradients, derivatives and the like, this book is ok. However this book is hard to read for an average engineer who does not do math for math's sake. So I recommend this book for a read, but only if you are required to.George
Great condition book. Would have been nice if there weren't the stickers from their previous bookstore.
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