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Review Robust Optimization Princeton Series in Applied Mathematics by Aharon Ben Tal Laurent El Ghaoui Arkadi Nemirovski

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Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject.


Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to operate under lack of full information

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Book ID Asin: 0691143684
Book Title: Robust Optimization (Princeton Series in Applied Mathematics, 28)
Book Author: Aharon Ben-Tal,Laurent El Ghaoui,Arkadi Nemirovski
Book Format and Price:
Book Format Name: eTextbook
Book Format Price: $79.96
Book Format Name: Hardcover
Book Format Price: $75.96-$90.26
Book Price: $90.26
Book Category: Books, Science & Math, Mathematics and unknown
Book Rating: 8 ratings

Robust Optimization (Princeton Series in Applied Mathematics, 28) by Aharon Ben-Tal,Laurent El Ghaoui,Arkadi Nemirovski Book Review

Name: Riberti Cortes
Rating: 2.0 out of 5 stars
Title: Few examples to ilustrate. Many mathematical discussion...
Date: Reviewed in the United States 🇺🇸 on May 27, 2010
Review: Well, before spelling comments about this book, I'll talk about myself and why I bought it. I'm a civil engineer, actually studying for master's degree in hydraulic engineering, working with the creation of and model to use robust optimization for operation of hydroelectric power plants. Unfortunately there is few books that deals with robust optimization. I thought that this one would have a more practical view to apply this method. But I was mistaken.

The book is indeed good in mathematical theory AND ONLY for that. There are few examples to illustrate the techniques of robust optimization, and most of this content discusses mathematical formulations. This isn't very useful for engineers, economists, biologists and any other profession that isn't used to pure mathematical formulations.

Name: Prof WuZhai
Rating: 2.0 out of 5 stars
Title: Poorly Written
Date: Reviewed in the United States 🇺🇸 on December 9, 2013
Review: This is a poorly written book. Everything is in pieces. In reads like the authors have not fully digested the robust optimization landscape. They do not make much attempt to slowly build up the theory, and provide easy to follow examples. They stick to the abstract whenever they can.

Name: Zafer Sahinoglu
Rating: 2.0 out of 5 stars
Title: Disappointed
Date: Reviewed in the United States 🇺🇸 on August 16, 2013
Review: The books addresses key topics, but treatment and formulations of the problems are difficult to follow. It looks like a collection of the authors' papers.

Name: just_me
Rating: 1.0 out of 5 stars
Title: Extremely badly written book
Date: Reviewed in the United States 🇺🇸 on November 1, 2019
Review: The book is extremely badly written. Wrong and inconsistent mathematical notation and conventions appear in all
parts of the book. Concepts are very poorly explained. It is simply a collection of papers. It is a shame to publish this
as a book. Never ever waste your money on this book(!).