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Springer Further Topics on Discrete-Time Markov Control Processes: 42 (Stochastic Modelling and Applied Probability, 42)

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Description

Devoted to a systematic exposition of some recent developments in the theory of discrete-time Markov control processes, the text is mainly confined to MCPs with Borel state and control spaces. Although the book follows on from the author's earlier work, an important feature of this volume is that it is self-contained and can thus be read independently of the first. The control model studied is sufficiently general to include virtually all the usual discrete-time stochastic control models that appear in applications to engineering, economics, mathematical population processes, operations research, and management science.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 June 1999
Listed Since
08 February 2007

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