An Introduction to Optimization (Wiley-Interscience Series in Discrete Mathematics and Optimization) | 
 enlarge | Authors: Edwin K. P. Chong, Stanislaw H. Zak
Publisher: Wiley-Interscience
Category: Book
List Price: $99.95
Buy New: $55.81
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Rating:  6 reviews
Sales Rank: 452388
Media: Hardcover
Edition: 3
Pages: 608
Number Of Items: 1
Shipping Weight (lbs): 2.1
Dimensions (in): 9.3 x 6.2 x 1.4
ISBN: 0471758000
Dewey Decimal Number: 519.6
EAN: 9780471758006
Publication Date: February 25, 2008
Availability: Usually ships in 1-2 business days
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Product Description
Fully updated to reflect modern developments in the field, An Introduction to Optimization, Third Edition fills the need for an accessible, yet rigorous, introduction to optimization theory and methods. Features of the Third Edition include: new discussions of semi-definite programming and Lagrangian algorithms; a new chapter on global search method; a new chapter on multiple-objective optimization; new and modified examples and exercises in each chapter; and an updated bibliography containing new references.
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| Customer Reviews: Read 1 more reviews...
 All industrial engineering student should buy this book. December 21, 1997
chad@eng.fsu.edu (Tallahassee, FL, USA)
1 out of 20 found this review helpful
An Introduction to Optimization
 took the class, liked the book April 30, 1999
Lance Bodnar (San Diego, CA)
11 out of 13 found this review helpful
Drs. Chong and Zak are Professors of Electrical Engineering at Purdue, and Dr. Chong was the instructor for the ECE grad level optimization class when I took it spring '97. The book alone is good, detailed and rigorous enough for a graduate course without sacrificing readability or in-chapter examples. However, without the MATLAB examples that were developed by the authors to accompany lectures and illustrate each optimization method covered, the material might be a little abstract or dry for self-teaching. An excellent introduction or reference nonetheless, those without a solid base in linear algebra should keep a reference text handy while reading.
 It reads like source code April 18, 2007
Math geek (Indianapolis, IN USA)
2 out of 2 found this review helpful
I'm an undergraduate math major who is using this book in a linear programming course. The general consesus in my class is that this is a very difficult book to comprehend. Everything seems like it's been abstracted to the n-th degree. Variables are frequently used without reference to definitions, which in many cases appear in earlier sections. It's a pain to try to look up something then have to hunt around for the meaning of all the components used in the definition. That's not to say this book isn't informative, it just takes a lot of work to glean useful information from it. As a student, I prefer books that are easy to reference. I simply don't have time to read the whole chapter about the simplex method when I just want to know how to compute cost coefficients.
 Rigor-Envy March 13, 2007
Danial Lee Sellers (Indianapolis, IN)
3 out of 3 found this review helpful
I can only speak on the linear programming section in this book. This is an awful text for undergraduates. This is a math text written by engineers who have a huge case of mathematical rigor-envy. They sacrifice all context, specificity, and practicality in lieu of a ridiculus level of mathematical generality. I am experienced in upper division proofing. I found myself reading and understanding every line of the proofs( of which there are many!) and still having no idea what had just been demonstrated. If you already have a PhD in pure mathematics, then this might be the book for you. If you are an undergraduate, stay away! If you need this book for a linear programming course, do youself a favor and also buy Linear Programming be Vasek Chvatal. The Chvatal text is the premier text on LP. It's only disadvantage is that it does not cover interior point methods, but this material can be easily supplemented from other sources. If yor are a prof. and are considering using this book for a undergraduate course, don't. Do your students some good and use a better text.
Not for undergrads! May 8, 2008
M. Nelson (CA)
I have a really difficult time with this book and often find myself having to do tons of outside research to comprehend the material. The sections are horribly short, genereally 2-3 pages which means there's no room for examples. Also, there are no answers in the back which leaves me wondering if I've screwed up somehow. This book really isn't meant for undergraduates. It's difficult to understand and too brief. It could use many more examples. If you've got a course in optimization, pray for a different book!
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