For upper division graduate courses in operations research management science, mathematics, and computer science, this text covers basic theory, selected applications, network flow problems, and advanced techniques....
|Title||:||Linear Programming (Series of Books in the Mathematical Sciences)|
|Number of Pages||:||470 Pages|
|File Size||:||892 KB|
|Status||:||Available For Download|
|Last checked||:||21 Minutes ago!|
Linear Programming (Series of Books in the Mathematical Sciences) Reviews
This book is a rare gem for Linear Programming. There are subjects covered here that I have not found in any other book on LP, specifically dealing with bounded variables. I really appreciate the methodical approach to building up the requisite knowledge to understand each section. I recommend this only for people with some background in Linear Algebra, but that's true of any text on Linear Programming. I don't any book is the complete reference on Linear Programming but I think this should be one of the first few you purchase though. I find it helpful to have several texts so that I can compare the authors approach in explaining a subject. Chvatal has a really nice approach. I recommend getting "Introduction to Linear Optimization" by Bertsimas and Tsitsiklis to complement this book.
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.
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.
The book is concise and easy to read, but the explanation is not very clear. Still, the book lacks of examples and exercises, and even selected ones didn't provide clear answers.
A masterpiece on Linear Programming. Although it does not contain Interior Point Methods developed subsequently, it's always the first book I refer to, whenever I have any questions on Linear Programming. Strongly Recommended.
The book presents many aspects of linear programming, particularly basic concepts, in a much simpler and interesting way than earlier books on this area. If focuses on what I consider the relevant aspects of LP and avoids sections describing endless calculations. Besides basic and some advanced concepts, there is an entire section devoted to applications which is interesting for engineering courses.
I had such a hard time following up with this book. There is no complete examples. The book explains the initial and final steps to problems skipping many important details in the middle. The example problem in chapter 8 about the bounded revised simplex method took me 5 days to understand. Also, the complametary slackness example in chapter 5 was confusing to understand.
i don't understand why everyone is giving this book such great reviews. as a linear programming student, i find this book extremely difficult to understand, very poorly orgranized, extremely lacking in practical examples to demonstrate the concepts that the author is attempting to describe, and basically a piece of garbage. it was obviously written by a mathematician, not someone capable of teaching. i would not recommend it to anyone.