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.
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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.
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15 of 16 people found the following review helpful:
4.0 out of 5 stars
Book Contents,
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This review is from: Optimization in Operations Research (Paperback)
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.
19 of 22 people found the following review helpful:
5.0 out of 5 stars
Best book after Hillier and Lieberman,
This review is from: Optimization in Operations Research (Paperback)
I thought there was only one best complete OR book is Hillier and Lieberman (H&L) until I got Rardin's book. Rardin presents the OR in different approach than H&L. The model building part is a little bit better than H&L, but the real meat is the fundamental of optimization. Search technique is well presented from the ground-up. This book can be served as the first book in OR if you're new to OR or the companion book if you know OR or even the first book in optimization in case you don't care to know OR.
18 of 21 people found the following review helpful:
5.0 out of 5 stars
The ultimate introduction to Mathematical Programming,
By
This review is from: Optimization in Operations Research (Paperback)
I had absolutely no clue about optimization before I read this book. This book not only helped me overcome my diffidence, but also provided me with a very thorough understanding of the basics of the subject. It is extremely difficult to criticize this book in any way. The language is plain English, not the technical jargon which other "introductory" books use. The book does not assume that the reader has a thorough understanding of linear algebra. Only a course in differential and integral calculus will do. The book provides several primers on a lot of topics- matrices, analysis, vectors etc., so that you do not have to interrupt your optimization studies and digress into these subjects. There are three full chapters where the author provides real-life examples of mathematical modeling. Again, these are built up step-by-step, and not shoved down your throat. The different approach to the Simplex Method is more intuitive than the traditional approach and more logical. The basic discussions on integer programming and non-linear programming are also worth mentioning. The numerous exercises and the presence of solutions to a number of them in the end make the text even more helpful. The only somewhat weak point of the text is the chapter on interior point methods, where the book only provides the formulae and states that the derivations are "beyond the scope of the book". But, this is negligible and I recommend the book wholeheartedly
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