Applied Probability Models with Optimization Applications
A Dover Mathematics Book
Applied Probability Models with Optimization Applications is a comprehensive textbook that provides a thorough overview of the use of probability models in optimization problems. The book covers a wide range of topics, from basic probability theory to advanced optimization techniques, and it provides numerous examples and exercises to help readers understand the material.
The book is divided into three parts. The first part introduces the basic concepts of probability theory, including probability distributions, random variables, and expected value. The second part covers optimization techniques, including linear programming, nonlinear programming, and dynamic programming. The third part shows how to apply probability models to optimization problems, including stochastic programming, decision analysis, risk analysis, reliability engineering, and financial engineering.
4.5 out of 5
Language | : | English |
File size | : | 10787 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 224 pages |
Lending | : | Enabled |
Paperback | : | 176 pages |
Item Weight | : | 7.7 ounces |
Dimensions | : | 5.06 x 0.4 x 7.81 inches |
Applied Probability Models with Optimization Applications is a valuable resource for students, researchers, and practitioners who need to use probability models to solve optimization problems. The book is also a great to the field of applied probability for those who are not familiar with the subject.
Table of Contents
- Basic Probability Theory
- Optimization Techniques
- Applications of Probability Models to Optimization Problems
Author
Sheldon M. Ross is a professor of industrial engineering and operations research at the University of California, Berkeley. He is the author of numerous books and articles on probability, statistics, and optimization.
Reviews
“Applied Probability Models with Optimization Applications is a comprehensive and well-written textbook that provides a thorough overview of the use of probability models in optimization problems. The book is suitable for both students and practitioners who need to use probability models to solve optimization problems.”
—Operations Research
“Applied Probability Models with Optimization Applications is a valuable resource for students, researchers, and practitioners who need to use probability models to solve optimization problems. The book is also a great to the field of applied probability for those who are not familiar with the subject.”
—Mathematical Reviews
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Order your copy today!
4.5 out of 5
Language | : | English |
File size | : | 10787 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 224 pages |
Lending | : | Enabled |
Paperback | : | 176 pages |
Item Weight | : | 7.7 ounces |
Dimensions | : | 5.06 x 0.4 x 7.81 inches |
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4.5 out of 5
Language | : | English |
File size | : | 10787 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 224 pages |
Lending | : | Enabled |
Paperback | : | 176 pages |
Item Weight | : | 7.7 ounces |
Dimensions | : | 5.06 x 0.4 x 7.81 inches |