|
Stochastic Models in Operations Research, Vol. II: Stochastic Optimization by Daniel P. Heyman,Matthew J. Sobel
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. Unabridged republication of the edition published by McGraw-Hill Book Company, New York, Volume 2, 1984. Table of Contents for Stochastic Models in Operations Research, Vol. II: Stochastic Optimization
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||