Introduction to Linear Optimization. by Dimitris Bertsimas and John N. Tsitsiklis. ISBN ISBN Introduction to linear optimization / Dimitris Bertsimas, John N. Tsitsiklis Bertsimas, Dimitris Complexity of linear programming and the ellipsoid method; 9. Pradeep Ravikumar, John Lafferty, Quadratic programming relaxations for metric labeling and Markov random field MAP estimation, Proceedings of the 23rd.

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One reading of this book is sufficient to appreciate the tremendous amount of quality effort that the authors have put into the writing, and I strongly recommend it to all teachers, researchers and practitioners of mathematical programming.

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If you are a seller for this product, optimizqtion you like to suggest updates through seller support? 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.

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Convex Optimization, With Corrections Introduction to Probability Models. Introduction to Probability, 2nd Edition. Review “The true merit of this book, however, lies in its pedagogical qualities which are so impressive The authors are Professors at the Massachusetts Institute of Technology. Athena Scientific; unknown edition February 1, Language: I’d like to read this book on Kindle Don’t have a Kindle? Share your thoughts with other customers.

Write a customer review. See all customer images. Read reviews that mention linear programming linear optimization interior point simplex method point methods linear algebra introduction to linear integer programming good job book to learn excellent book recommend this book great book book were also best book book is in very good programming this is the book math authors theory.

Showing of 40 reviews. Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now. Please try again later. The best part of this book is the first half, where the foundations of linear programming are presented in a clear yet relatively rigorous fashion, accompanied by numerous intuitive geometrical explanations of the abstract general concepts.

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This approach, supplementing mathematics with graphical insights, works extremely well for this topic. The quality goes down somewhat, perhaps neccessarily, in the latter half of the book as topics are presented less carefully, and in a somewhat rushed manner in order to cover all of the material the authors decided to include.

Given that the fundamentals are covered so well, perhaps this is a fair trade. The only real negative I can think of is that it’s a small crime for professors to create their own publishing companies Athena only publishes works by a small group of MIT professors and then still charge outrageous amounts for the books.

This would be completely unacceptable were it not for the fact lineaf, unlike most self-published work, this book’s production quality is on par with that of the large publishers. I very much like the style this book is written in. The proofs are clear and concise, while still leading the reader through the necessary steps with conversational tone.

The text is opyimization well, and multiple viewpoints are given on most every topic to aid people who learn in different ways. This book is impressive for theory, every thing you ever wanted to know or how to avoid some other is here. I teach to industrial engineering students, so i have to use other books for the application, but for the theory, everything is covered here, even more, in the book are several simple rules to avoid tipical problems of the simplex method or transportation problems, or integer forms.

You can’t call yourself a pro if you haven’t read this book. I cannot find better words to describe this book than simply amazing. It helped me build a deep understanding of linear optimization, from some basic linear algebra bettsimas, through simplex and more modern linear optimization methods, to applications in network flows and integer programming, step by step, proof by proof, so I exactly knew what’s going on all the time.

I’ve gave a browse to a couple of other books and internet available courses before finding this one, but they were mostly touching the surface of the subject from a practitioner perspective or assumed a big amount of skills up front.

This book allowed me to understand linear optimization deeply without prior preparation.

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Introduction to Optimization Spring

The only disadvantage of this book I can think of is the price. I had waited for the “new” book for almost a week but received a book with torn bh. I’ll not return because it is obvious that it will take additional weeks, and my semester just started. I hope that others will receive an intact one. This a great text for an introduction to linear programming course. Does a great job proving mathematical rigor to optimization.

However the problems are very challenging. One person found this helpful. This is a great book, good examples and very simple yet precise ontroduction.

I did like this one! I am studing linear programming at the university and this book helped me a lot, now I understand a lot more than I did with the other books. Recommended by a friend who is pursuing his Operation Research PhD degree.

Introduction to Linear Optimization

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