Wiley Interscience Systems and Optimizat Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions, Book 10, Hardcover
€ 277
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The application of the induction principle to optimization problems is currently in demand and heavily discussed.
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What Stands Out
Product Details
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Pages | 204 |
| Reading level | Professional and Scholarly |
| Subgenre | Linear & Nonlinear Programming |
| Series title | Wiley Interscience Systems and Optimization |
| Number in series | 10 |
| Edition | 1 |
| Publisher | Wiley |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | General |
| Is collectible | N |
| Binding type | Case Binding |
| Retail packaging | Single Piece |
| Assembled product height | 9.02 in (22.9 cm) |
| Assembled product weight | 0.91 lb (410 grams) |
| Bisac subject heading | Mathematics |
Who Should Buy?
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Graduate Students
Ideal for graduate students studying optimization and decision theory, providing foundational knowledge and advanced concepts in dynamic programming.
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Practicing Researchers
Beneficial for researchers engaged in systems optimization, offering insights and methodologies applicable in various scientific studies and projects.
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Industry Professionals
Useful for professionals in industries like finance and logistics who utilize dynamic programming for decision-making and operational optimization.
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Casual Readers
Not suitable for casual readers seeking light content; this book involves complex mathematical concepts requiring a serious dedication.
Product Description
Wiley Interscience Systems and Optimizat Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions, Book 10, Hardcover
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€ 277
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Features & Benefits
- Comprehensive introduction to dynamic programming and sequential decisions.
- Covers deterministic models without random influences.
- Explores the impact of uncertainty in decision-making.
- Includes advanced applications such as Markov processes.
- Ideal for students and professionals in optimization theory.
- Published in 2000, ensuring relevance in current discussions.
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