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.
| ISBN: | 9780486432601 |
| Publication date: | 1st January 2004 |
| Author: | Daniel P Heyman, Matthew J Sobel |
| Publisher: | Dover Publications an imprint of Dover Publications Inc. |
| Format: | Paperback |
| Pagination: | 555 pages |
| Series: | Dover Books on Computer Science |
| Genres: |
Mathematics |
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.
Stochastic Models in Operations Research features in the following genres: Mathematics
Paperback. Not Available.
Stochastic Models in Operations Research was written by Daniel P Heyman, Matthew J Sobel and published by Dover Publications an imprint of Dover Publications Inc.
Stochastic Models in Operations Research has 555 pages
Yes it is part of Dover Books on Computer Science series