This book provides a unified, insightful, and modern treatment of linear optimization, that is, linear programming, network flow problems, and discrete optimization. It includes classical topics as well as the state of the art, in both theory and practice.
This book was an interesting introduction to Linear and Integer Programming, with a particular focus on the underlying theoretical details behind the machinery of the Simplex algorithm and Duality. I found that the book was fairly easy to read, and the examples were illuminating. Some solutions to the exercises would have enhanced the text.
This book is great for optimization beginner since it covers most of the basics of optimization. Though this book is a little short on explanation and more focus on the equation and formulation.
Pretty good in depth Linear Optimization book. Finished (well, finished the parts I intended to read) a while ago so I don't remember much else. Bertsimas likes his equations though and is sometimes a bit short on explanations. But then the book would have been even longer. That was Bertsekas I was thinking of >_>
As an aside I don't get why so many computer science books are called "Introduction to..." when they really are not introductory at all.
if you care about optimization and are willing to learn a little bit of linear algebra, this is a great introduction. really, you get all the linear optimization theory you need from the first 4 chapters, and the rest is just icing.
This is a really nice book that can serve as a starting point in Optimization. It manages to bring out the beauty of the subject and provides enough exercises to test and build your understanding.