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Linear Programming
  

Linear Programming [Hardcover]

V. Chvatal
4.5 out of 5 stars  See all reviews (2 customer reviews)

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4.5 out of 5 stars (2 customer reviews)
 
 
 
 
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5.0 out of 5 stars It's a Keeper, July 11 2003
By 
David C. Frye (Weatherford, Texas USA) - See all my reviews
(REAL NAME)   
This review is from: Linear Programming (Paperback)
I cut my teeth on this text in George Nemhauser's class. The book is clear and concise and does an excellent job explaining this topic to beginners. I've not come across a better introductory text yet. I still have this book in my reference library.

If you want an introduction to LP, this is the text for you.

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4.0 out of 5 stars An excelent book on LP, April 30 2002
By A Customer
This review is from: Linear Programming (Paperback)
The book offers an objective treatment of linear programming, in small self contained chapters. I consider this title the best introdutory text on LP, just because it is extremely well written. The major drawback of this book is the small and easy number of exercises proposed at the end of the chapters. The text is not an updated book on the subject, but I really recomend it.
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Amazon.com: 3.7 out of 5 stars (9 customer reviews)

15 of 15 people found the following review helpful
5.0 out of 5 stars Linear Programming as Mathematics, Sep 30 2005
By Brian Borchers "A math prof" - Published on Amazon.com
This review is from: Linear Programming (Paperback)
I've been teaching a linear programming course at the advanced undergraduate level out of this book for the last 12 years. I'm still happy with Chvatal's book and haven't found anything better.

Prerequisites for this book include some background in linear algebra (the typical sophomore level introduction to linear algebra is enough), and some experience with proof based mathematics. Because the subject does not involve the difficult concepts of analysis, it (much like number theory) makes a good subject for students to study as they are developing proof writing skills.

The first 10 chapters of the book present the simplex method, the revised simplex method, duality theory, and sensitivity analysis.

This material can easily be covered in 10 weeks. The remaining chapters of the book are largely independent, mostly focused on various applications of linear programming and specialization of the simplex method to network flow problems.

Chvatal presents the simplex method and many of its applications from a mathematical point of view. He states and proves theorems, but also provides plenty of motivation. Students who make an effort do develop more mathematical maturity from working through this book.

Chvatal also presents the material from a computational and algorithmic point of view. One of the major points of the book is that the author prefers to use algorithmic proofs. For example, the proof that every standard form LP is either infeasibile, unbounded, or has an optimal BFS is built on the simplex method- Since the algorithm terminates in one of these three states, and can't go into an infinite loop, these are the only possibilities.

Another particular strength of the book is in the presentation of duality theory. The explanation is simply very clear and intuitive.

The one glaring weakness of the book is that it doesn't contain any discussion of interior point methods for linear programming. Since the book was published in the mid 1980's, this is not surprising. In my course, I supplement Chvatal's book with my own lecture notes on interior point methods.

12 of 16 people found the following review helpful
5.0 out of 5 stars Good Book. Highly Recommended., Sep 22 1996
By A Customer - Published on Amazon.com
This review is from: Linear Programming (Paperback)
This book is a good introduction to linear programming. And
very readable.
It also serves as a good reference. For a more advanced
text and non-linear programming topics, look at Nash and
Sofer.

5 of 7 people found the following review helpful
5.0 out of 5 stars It's a Keeper, July 11 2003
By David C. Frye - Published on Amazon.com
This review is from: Linear Programming (Paperback)
I cut my teeth on this text in George Nemhauser's class. The book is clear and concise and does an excellent job explaining this topic to beginners. I've not come across a better introductory text yet. I still have this book in my reference library.

If you want an introduction to LP, this is the text for you.

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