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Stochastic Models in Operations Research

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Stochastic Models in Operations Research 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.

About This Edition

ISBN: 9780486432601
Publication date:
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