- Hardcover: 768 pages
- Publisher: Wiley-Blackwell; 4th Edition edition (15 Jan 2010)
- Language English
- ISBN-10: 0470462728
- ISBN-13: 978-0470462720
- Product Dimensions: 23.6 x 15.7 x 3.8 cm
- Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
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Amazon Bestsellers Rank:
1,020,967 in Books (See Top 100 in Books)
- #95 in Books > Science & Nature > Mathematics > Optimisation > Linear Programming
- See Complete Table of Contents
Linear Programming and Network Flows
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Review
"The book can be used both as reference and as textbook for advanced undergraduate students and first–year graduate students in the fields of industrial engineering, management, operation research, computer science, mathematics and other engineering disciplines that deal with the subjects of linear programming and network flows." (Zentralblatt MATH, 2011)
Product Description
Linear Programming and Network Flows presents the problem of minimizing and maximizing a linear function in the presence of linear equality or inequality constraints. This text provides methods for modeling complex problems via effective algorithms on modern computers, optimization problems, and effective solution algorithms. The book also explores linear programming and network flows, polynomial–time algorithms, and geometric concepts. This modified edition includes new exercises, comments, and references on recent developments, like the geometry of cycling. This is the only text that covers both linear programming techniques and network flows for students.
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Customer Reviews
Most Helpful Customer Reviews
3 of 4 people found the following review helpful
Format:Hardcover
This book is a must for Graduate students in Operations Research. The book covers linear programming methods, duality theory, decomposition techniques, network flow algorithms etc.,
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
12 reviews
4 of 4 people found the following review helpful
Best Math oriented LP book
7 Jan 2003
Format:Hardcover
I used this book as part of my grad level LP course that covered the first half of the book. Let me start out by saying that this is by no means a beginner's book. This book assumes a strong Linear Algebra and basic OR (assumes you know the Simplex method solution procedure, etc.) knowledge.If you are looking to get these OR prerequisites, then refer to the basic OR books by Hillier & Lieberman, Wayne Winston, Ignizio & Cavalier or A. Ravindran; this book is not for you.
This book is outstanding for understanding the theory and mathematical mechanics of LP and the first half of the book covers this comprehensively. The excercises in this book are outstanding (and can be hard). For those who need this book but are weak or rusty on the basics (like I was :) ) refer to one of the books above (I liked the Ignizio & Cavalier book a lot). I can't comment on the Network flows part of the book but it will almost surely be excellent if it is anything like the first half.
An excellent book for the intended audience.
3 of 3 people found the following review helpful
Great book for graduate OR/MS students
1 Aug 2000
Format:Hardcover
I used this book in my graduate linear programming class. The text is very descriptive in its theory and has a wealth of exercises from simple to doctorate level.
5 of 6 people found the following review helpful
THE Linear Programming Book.
18 July 2002
Format:Hardcover
I came across this book as a graduate student and hated it! But as I went deeper into Linear Programming (and stochastic programming) I realized the true worth of this book. It is definitely an intermediate-advanced level book rather than a beginner's book. Each concept is developed in painstaking detail with a strong base in Linear Algebra.
While the linear programming part is quite strong on the traditional algorithms, it is a little weak on interior point algorithms. For network flows, I would suggest the book by Ahuja et al... not because this book is bad but simply because Ahuja's done an unbeatable job.
Bottomline: This book is the best there is for a strong background in linear programming. If you are interested in theory look up Schrijver's "Theory of Linear and Integer Programming".
While the linear programming part is quite strong on the traditional algorithms, it is a little weak on interior point algorithms. For network flows, I would suggest the book by Ahuja et al... not because this book is bad but simply because Ahuja's done an unbeatable job.
Bottomline: This book is the best there is for a strong background in linear programming. If you are interested in theory look up Schrijver's "Theory of Linear and Integer Programming".
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