ContinuousTime Markov Decision Processes: Theory and Applications (Stochastic Modelling and Applied Probability, 62),Used

ContinuousTime Markov Decision Processes: Theory and Applications (Stochastic Modelling and Applied Probability, 62),Used

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SKU: SONG3642025463
Brand: Springer
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Continuoustime Markov decision processes (MDPs), also known as controlled Markov chains, are used for modeling decisionmaking 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, selfcontained presentation of recent developments on the theory and applications of continuoustime 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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