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Dynamic Optimization : Deterministic and Stochastic Models
Provides a self-contained and easy-to-read introduction to dynamic programming
Provides a comprehensive treatment of discrete-time multistage optimization
Presents the theory of Markov decision processes without advanced measure theory
Includes various examples and exercises (without solutions)
Availability
No copy data
Detail Information
- Series Title
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- Call Number
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658
- Publisher
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Cham :
Springer.,
2017
- Collation
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530 pages
- Language
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English
- ISBN/ISSN
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9783319488141
- Classification
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658
- Content Type
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- Media Type
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- Carrier Type
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online resource
- Edition
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1
- Subject(s)
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- Specific Detail Info
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- Statement of Responsibility
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Hinderer Karl
Other Information
- Cataloger
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Kurnadi
- Source
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- Validator
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Taufik
- Digital Object Identifier (DOI)
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- Journal Volume
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- Journal Issue
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- Subtitle
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- Parallel Title
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Other version/related
No other version available
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