Linear Programming and Network Flows | 
| Authors: Mokhtar S. Bazaraa, John J. Jarvis, Hanif D. Sherali
Publisher: Wiley-Interscience
Category: Book
List Price: $127.50
Buy New: $60.71
You Save: $66.79 (52%)
New (24) Used (17) from $60.71
Avg. Customer Rating:  12 reviews
Sales Rank: 118223
Media: Hardcover
Edition: 3
Number Of Items: 1
Pages: 744
Shipping Weight (lbs): 2.5
Dimensions (in): 9.3 x 6.4 x 1.6
ISBN: 0471485993
Dewey Decimal Number: 519.72
EAN: 9780471485995
ASIN: 0471485993
Publication Date: December 17, 2004
Availability: Usually ships in 1-2 business days
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Condition: Brand New. Never Read. US Student Edition. ### Fast Delivery ### Email Tracking Number
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Product Description
Linear Programming and Network Flows, now in its third edition, addresses the problem of minimizing or maximizing a linear function in the presence of linear equality or inequility constraints. This book:
* Provides methods for modeling complex problems via effective algorithms on modern computers.
* Presents the general theory and characteristics of optimization problems, along with effective solution algorithms.
* Explores linear programming (LP) and network flows, employing polynomial-time algorithms and various specializations of the simplex method.
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| Customer Reviews: Read 7 more reviews...
 Wonderful book September 30, 2008
I used this book for TAing my undergrad and grad classes. It is an unbeatable book in Linear Programming. The authors developed not only a strong linear algebric concept but also a wonderful geometric concept of LPs. By the way, it is not a beginner's book. I suggest Winston's book for the beginners.
Very Theoretical but good fundamental and advanced techniques January 31, 2007
1 out of 1 found this review helpful
The techniques described are very theoretical but are friendly to be used in Computer programs. Has a great deal of depth.
 This book is only useful if you already know about linear programming. October 15, 2005
1 out of 2 found this review helpful
I am using this book for a linear programming course. The most flagrant problem with this book is that it is filled with typos, making reading through proofs and examples very frustrating because you're never sure what is supposed to be written. The book is also not very good at explaining concepts and leaves many steps out in the development of new ideas. If you can avoid it, do not use this book to learn linear programming.
 It Could be better June 10, 2005
0 out of 2 found this review helpful
In my point of view this book has 2 related problems:
Problem 1. It tries to pack much information in a small space.
Problem 2. I dont like the author's style of asking why? and how? to the reader in the midst of the text. Maybe this is to keep the book small but it forces you to stop reading and think about the question.
However, I think this book is a good reference. But, certainly the authors could have made it better. Let's wait for the next edition.
Strong Graduate Treatment in Linear Programming February 4, 2004
2 out of 3 found this review helpful
I used this text while taking a graduate linear programming (LP)course on LP and network flows. I really liked the treatment. The typesetting was clear ,consistent and easily followed (not as good as Nash and Sofer's). The book also includes lots of nice side discussion on how or why the theory is the way it is. Plenty of references are offered for further study. Proofs were not rigorous. The highly mathematical reader may be disappointed by the "show proof" style used instead of a rigorous theorem-proof style. In fact, I seem to recall a time or two where the theorem came after the usage. For me, I didn't mind that, but a pure math guy would likely grind his teeth.The network material was acceptable. I personally thought the text problems were not of the best quality. I would suggest a teacher supplement their own favorites outside of the book. One caution is that the book is somewhat aged. I noticed a text like Nash and Sofer seems to have newer updates on the theory. Overall, a great read for getting into the nitty gritty details of LP.
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