Wiley Interscience Systems and Optimizat Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions, Book 11, (Paperback)
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The author begins with a historical overview and describes deterministic models, advancing to incorporate uncertainty and specialized applications such as Markov processes.
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Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | July, 2000 |
| Pages | 208 |
| Reading level | Undergraduate |
| Subgenre | Mathematics |
| Series title | Wiley Interscience Systems and Optimization |
| Number in series | 11 |
| Edition | 1 |
| Publisher | Wiley |
| Original languages | German |
| Language | English |
| Binding type | Perfect Binding |
| Assembled product height | 9.2 in |
| Assembled product weight | 0.68 lb (310 grams) |
| Bisac subject heading | Mathematics |
Product Description
Wiley Interscience Systems and Optimizat Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions, Book 11, (Paperback)
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John Bather All Books Editorial Review
Wiley Interscience Systems and Optimization Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions, Book 11, is an insightful non-fiction resource designed for undergraduate students. This paperback textbook, published in July 2000, spans 208 pages and covers essential concepts in mathematics through the lens of dynamic programming and decision-making processes. Its perfect binding ensures durability for extensive use, while the clear language translation from German into English makes it accessible to a wider audience. Students appreciate the comprehensive approach to sequential decisions as it provides a solid foundation for advanced studies in the field.
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Pros
- Clear explanations of complex mathematical concepts
- Durable perfect binding for long-term use
- Accessible language for non-native speakers
- Comprehensive resource for undergraduate studies
- Focused on dynamic programming and decision-making
Cons
- This book may be dense for casual readers
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LAK 3340356
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Features & Benefits
- Comprehensive introduction to dynamic programming and sequential decisions.
- Covers historical context and the evolution of decision theory.
- Explains deterministic models without random influences.
- Incorporates uncertainty factors in decision-making scenarios.
- Includes advanced applications like Markov processes.
- Ideal resource for students and professionals in optimization.
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