Continuous-Time Markov Decision Processes: Theory and Applications: 62 (Stochastic Modelling and Applied Probability, 62) - Image 1

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Springer Continuous-Time Markov Decision Processes: Theory and Applications: 62 (Stochastic Modelling and Applied Probability, 62)

Name: Continuous-Time Markov Decision Processes: Theory and Applications: 62 (Stochastic Modelling and Applied Probability, 62)
Brand: Springer
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Management Science

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Continuous-time Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decision-making problems that arise in operations research (for instance, inventory, manufacturing, and queueing systems), computer science, communications engineering, control of populations (such as fisheries and epidemics), and management science, among many other fields. This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs. The MDPs in this volume include most of the cases that arise in applications, because they allow unbounded transition and reward/cost rates. Much of the material appears for the first time in book form.

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Brand: Springer
Format: paperback
ASIN: 3642260721
Category: Books > Subjects > Business, Finance & Law > Management > Management Science
Domain: Amazon UK
Release Date: 14 March 2012
Listed Since: 08 March 2012

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Springer Continuous-Time Markov Decision Processes: Theory and Applications: 62 (Stochastic Modelling and Applied Probability, 62)

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