Linear Programming: Methods and Applications

Great book to accompany any graduate text on Linear Programming. This book is more heavily on practicality than on the theory. Use one book for the the theory and this book to help you workout problems, and see how the theory is applied.

If you are really interested in Linear Programming this book makes a great resource. It also makes a good companion book if you are studying Operations Research, as the LP component is comprehensive. The book gives a good explanation of the revised simplex method and duality problems. Also,sensitivity analysis is explained and demonstrated in a very straightforward and easy to understand manner.

This book is excellent for everyone who is studying Linear Programming. What is especially useful is the large number of references that are included at the end of each chapter. The second thing is the inclusion of introductory material in chapters 1 to 4 for the first time student. The third thing that is good is the inclusion of many applications, making the book very useful for the experienced student of Operations Reserch. The fourth is the abundance of exercises at the end of each chapter. I strongly recommend this book for students, especially those who are from disciplines outside Mathematics, who will use computational techniques of Linear Programming.

I think this is one of the best introductions to Linear Programming. It is a book for both an introductory undergrad LP course or as a supplement (to brush-up and review) to a more theoretical LP course.I had Dr. Cavalier (the other co-author of this book) in a highly theoretical LP grad course and found him to be the best teacher I've ever had. That fluency and clarity in explanation is carried through to the book. Although this text was not used in that course, I found it to be a good reference to some of the concepts. Regretably, I 'discovered' this book only at the end of my course but have refered to it since.The book covers both introductory LP methodology and applications and also goes into some of the basic level theory behind these techniques. It also introduces concepts in Integer Programming well. The explanations of the dual simplex, parametric programming, etc. are all excellent. Make no mistake though, this is a book that sticks almost entirely to LP unlike some of the other introductory OR books by Hillier & Lieberman, Winston, etc. If you are looking for one of these 1000pg all inclusive books, then you might find this book incomplete. For LP, give this book a look.