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Stochastic Models in Operations Res: Stochastic Optimizations (Dover Books on Computer Science) - Softcover
Synopsis
This 2nd volume of a 2-volume set explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. It introduces myopic optimal policies, Markov decision processes, generalizations of MDPs and related computational considerations, monotone optimal policies, and sequential games. 1984 edition. Includes 43 figures and 50 tables.
"synopsis" may belong to another edition of this title.
Synopsis
Focusing on stochastic optimization, Heyman (information not given) and Sobel (Weatherhead School of Management, Case School of Engineering, Case Western Reserve University) introduce myopic optimal policies, Markov decision processes, generalizations of MDPs, monotone optimal policies, and sequential games in this second book of a two- volume set
"About this title" may belong to another edition of this title.
- PublisherDover Publications Inc.
- Publication date2004
- ISBN 10 0486432602
- ISBN 13 9780486432601
- BindingPaperback
- LanguageEnglish
- Number of pages576
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Stochastic Models in Operations Research, Vol. II: Stochastic Optimization (Dover Books on Computer Science)
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