Operations Research Problem Solver (Problem Solvers Solution Guides) [Paperback]

The Editors of REA (Author)

Book Description

Publication Date: November 30, 1983 | ISBN-10: 0878915486 | ISBN-13: 978-0878915484 | Edition: Revised

An exceptionally comprehensive treatment of this subject aimed at students in business, management, science, and engineering. Topics include linear, non-linear, integer, and dynamic programming, network analysis, quadratic and separable programming, inventory control, probabilistic methods, and many other topics. Numerous applications.

Product Details

• Paperback: 1088 pages
• Publisher: Research & Education Association; Revised edition (November 30, 1983)
• Language: English
• ISBN-10: 0878915486
• ISBN-13: 978-0878915484
• Product Dimensions: 9.7 x 6.6 x 1.9 inches
• Shipping Weight: 3 pounds
• Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #1,292,524 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

1 of 1 people found the following review helpful:

4.0 out of 5 stars REA - a solid review and study guide, December 2, 2009

By 

Alan Charbonneau - See all my reviews
(REAL NAME)   

Amazon Verified Purchase

This review is from: Operations Research Problem Solver (Problem Solvers Solution Guides) (Paperback)

I've used many of the REA problem solvers over the last several years when I studied math in preparation for an MS degree in Operations Research which I began in May of this year. I've always thought highly of these books and dismiss most of the criticism they sometimes receive in Amazon reviews.

This book is good, but not, in my opinion, as good as the REA books that I used for my math studies. Most of those books had some overview of the topic or technique covered as well as the solved problems themselves whereas this book has very little discussion of the idea behind a technique, focusing only on solving a specific problem. For example, there are 4 methods for detecting if a function is convex, but this book does not mention that and only illustrates two of the methods. It would have been nice to see a little bit of discussion of the convexity concept, a statement of the 4 techniques, and then an example of each.

Likewise, the chapter on Dynamic Programming has no initial discussion of the technique, assuming the reader already understands the underlying principles involved. It would have been nice to have a half of a page to maybe a full page discussing the idea of Dynamic Programming before the actual problem sets; in the math-related books, the overview was quite often a nice summary of the concepts that gave a slightly different perspective than the class textbook and sometimes promoted greater understanding of the material.

But it is still a valuable resource and I intend to use it to review for my final exam in Optimization that is being given a few weeks from now. I am certain that it will help.

0 of 1 people found the following review helpful:

4.0 out of 5 stars Good Book, February 15, 2009

By 

Amr Alamri (USA, MI) - See all my reviews
(REAL NAME)   

This review is from: Operations Research Problem Solver (Problem Solvers Solution Guides) (Paperback)

This book has a lot of solved applications and examples, it is a good source to master operations research.