Dynamic Programming (Dover Books on Computer Science)
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A rich lode of applications and research topics awaits you in this comprehensive guide to dynamic programming.
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Product Details
- An introduction to the mathematical theory of multistage decision processes, this text takes a functional equation approach to the discovery of optimum policies. Written by a leading developer of such policies, it presents a series of methods, uniqueness and existence theorems, and examples for solving the relevant equations. The text examines existence and uniqueness theorems, the optimal inventory equation, bottleneck problems in multistage production processes, a new formalism in the calculus of variation, strategies behind multistage games, and Markovian decision processes. Each chapter concludes with a problem set that Eric V. Denardo of Yale University, in his informative new introduction, calls a rich lode of applications and research topics. 1957 edition. 37 figures.
| Publisher | Dover Publications Inc. |
| Publication date | 4 Mar. 2003 |
| Edition | reprint |
| Language | English |
| Print length | 366 pages |
| ISBN-10 | 0486428095 |
| ISBN-13 | 978-0486428093 |
| Dimensions | 13.61 x 1.91 x 21.89 cm |
| Part of series | Dover Books on Computer Science |
Product Description
Dynamic Programming (Dover Books on Computer Science)
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English edition Richard Bellman Format: Paperback Editorial Review
Dynamic Programming Dover Books On Computer Science is a reprint edition published by Dover Publications Inc. on March 4, 2003, featuring a comprehensive exploration of dynamic programming across 366 pages. This book is part of the well-regarded Dover Books on Computer Science series, making it a staple for computer science students and professionals alike. With its in-depth insights and clear explanations, readers can enhance their analytical skills and problem-solving abilities. The book has garnered positive feedback for its clarity and educational value, making it a highly recommended resource for understanding complex programming concepts.
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Pros
- Comprehensive coverage of dynamic programming techniques
- Clear explanations and examples throughout
- Part of the respected Dover Books series
- Suitable for both students and professionals
- Well-structured for easy comprehension
Cons
- Some readers may find it dense in certain sections
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Features & Benefits
- Deep dive into multistage decision processes with a mathematical focus.
- Learn optimum policies through functional equation methods.
- Explore existence and uniqueness theorems crucial for problem-solving.
- Delve into practical applications involving inventory equations and bottleneck issues.
- Discover strategies in multistage games and Markovian decision processes.
- Each chapter includes engaging problem sets for thorough understanding.
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