Free PDF Optimization in Operations Research, by Ronald L. Rardin
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Optimization in Operations Research, by Ronald L. Rardin
Free PDF Optimization in Operations Research, by Ronald L. Rardin
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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.
- Sales Rank: #401544 in Books
- Published on: 1997-08-15
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.90" w x 7.00" l, 3.33 pounds
- Binding: Paperback
- 919 pages
From the Back Cover
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.
Most helpful customer reviews
26 of 27 people found the following review helpful.
Book Contents
By MAURICIO AGUIAR
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.
24 of 27 people found the following review helpful.
Best book after Hillier and Lieberman
By Sarawoot Chittratanawat
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.
23 of 26 people found the following review helpful.
The ultimate introduction to Mathematical Programming
By Sunanda Dutta
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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