Master piece | Optimization in Operations Research

Good operations research book | Optimization in Operations Research | Ronald L. Rardin

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	• Optimization in Operations Research Ronald L. Rardin Prentice Hall, 1997 - 919 pages average customer review:based on 17 reviews view larger image
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highly recommended

A Clear and Concise Text for OR

Rardin was the first book I used for OR and I keep a copy in my personal library. It offers a series of examples that are followed up throughout the book, chapter by chapter, to provide insight into the application of mathematics to real world problems. By building the level of complexity, on an ogoing basis through the use of specific examples, Rardin shows the extrmely practical side to why Operations Research is such a fundamental use of applied mathematics. The book is easy to read and should easily meet the needs of any upperlevel undergraduate course in Operations Research.

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Master piece

It is both useful for graduates and for undergraduates.

Explanations are easy to follow but at the same time they don't lack detail or correctness. The book is full of examples and it covers different fields of OR.

For me, the best is Rardin's approach to teach OR: he begins from the base and he builds newer contents over that base. In this way, you feel like "that works!". And for graduates, there are some sections called "primers" where Rardin explains subjects outside the scope of the book, but very useful for beginners.

The book is very well written. A good big effort.

The only bad point I found is the book's font/typeset is not very good (I'd prefer a more TeXified style).

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Good operations research book

This book presents the subjects in a different and novel way which provides many new insights.

In it, there is a great concern with the practical, professional use of operations research, as can be easily seen in the modeling examples. This book could be named "Optimization theory with realistic applications". This book certainly enables the students to apply the theory learned in practical situations, while providing the necessary mathematical foundations.

Rardin exposes the subject in a very clear and non-orthodox manner, unifying all algorithms through the use of the improving-search framework. The text is also innovative, containing sections on Genetic Algorithms, Simulated Annealing, Tabu Search and Branch and Cut.

But if you want to go deeper in some subject (linear programming for example) you will need another book.

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Great book but poor binding

Prof. Rardin's Optimization in OR is a great book. However the binding for the book does not do its justice as it is sold as a paperback at the Amazon.com. The binding of my copy quickly fell apart. With the kind of the price the book demands and its 900+pages size, it should be a hardback binding.

Book Contents

The "Search inside this book" feature was not available for this book when this review was published. Hope it helps.

Table of Contents
1. Problem Solving with Mathematical Models
2. Deterministic Optimization Models in Operations Research
3. Improving Search
4. Linear Programming Models
5. Simplex Search for Linear Programming
6. Interior Point Methods for Linear Programming
7. Duality and Sensitivity in Linear Programming
9. Shortest Path and Discrete Dynamic Programming
10. Network Flows
11. Discrete Optimization Models
12. Discrete Optimization Methods
13. Unconstrained Nonlinear Programming
14. Constrained Nonlinear Programming

If you need more information, Professor Rardin (Purdue University) maintains a website that can be easily located using any web search tool.

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This book is specifically designed to change the way deterministic optimization is taught to introductory students. Toward this end, it exposes students to the broad scope of the topic, reinforces the basic principles, sparks students' enthusiasm about the field, provides tools of immediate relevance and develops the skills necessary to use those tools.

reviews: page 1, 2, 3, 4

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