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Title: Introduction to Stochastic Programming (Springer Series in Operations Research) by John R. Birge, Francois Louveaux ISBN: 0-387-98217-5 Publisher: Springer Verlag Pub. Date: July, 1997 Format: Hardcover Volumes: 1 List Price(USD): $89.95 |
Average Customer Rating: 3.5 (2 reviews)
Rating: 2
Summary: Formalism doesn't equal good introduction.
Comment: Given that there are not many books in the area of stochastic programming Birge et al have written a book that will be a necessary reference for the time being. The first third of the book does provide a good introduction to the basics of SP but after that a level of formalism dominates that makes one wonder if she is reading from an arcane optimization journal. The later two thirds of the book is really nothing more than an amalgam of results pulled from the literature (journals). As such, little motivation is provided for the major results that are for the most part just juxtaposed on after another. One wonders why such a journalistic style would be used for an introductory text. After all the subject should not be presented as a springer-verlag MATH text in a field like algebraic topology where a theorem-proof format is legimate. Thus, until a better introductory text comes along that blends more of the practical engineering aspects with the theory we must be content with the current state of the art.
Rating: 5
Summary: A must own guide to Stochastic Programming
Comment: Introduction to Stochastic Programming is a must own book for anyone working in OR, IE, MS, etc. As stochasticity becomes more and more important in the field, this book becomes increasingly valuable. "Introduction" is a bit of a stretch. It starts from ground zero of Stochastic Programming, but is very heavy on the math. If you aren't solid with your LP and probability, then a brush up is definately in order. This book is not for the faint of heart. Nevertheless, Birge and Louveaux do an OUTSTANDING job. The examples are clear, easy to follow (assuming you're not math phobic) and very relevant. They go through different formulations of stochastic programms (recourse, chance constrained, etc.). The book discusses formulation, algorithms, and applications. There are not many books out there on Stochastic Programming...and this is really the only one you need to own.
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Title: Financial Optimization by Stavros A. Zenios ISBN: 0521577772 Publisher: Cambridge University Press Pub. Date: 28 October, 1996 List Price(USD): $30.00 |
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Title: Applied Probability Models with Optimization Applications by Sheldon M. Ross ISBN: 0486673146 Publisher: Dover Pubns Pub. Date: 04 December, 1992 List Price(USD): $11.95 |
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Title: Simulation Modeling and Analysis (Industrial Engineering and Management Science Series) by Averill Law, W. David Kelton ISBN: 0070592926 Publisher: McGraw-Hill Science/Engineering/Math Pub. Date: 30 December, 1999 List Price(USD): $103.75 |
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Title: Introduction to Stochastic Dynamic Programming by Sheldon Ross ISBN: 0125984219 Publisher: Academic Press Pub. Date: 28 July, 1995 List Price(USD): $46.00 |
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Title: Convex Analysis by Ralph Tyrell Rockafellar ISBN: 0691015864 Publisher: Princeton Univ Pr Pub. Date: 23 December, 1996 List Price(USD): $39.95 |
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