Continuous-Time Markov Decision Processes - Theory and Applications (Paperback, 2009 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Stochastic Modelling and Applied Probability, 62
Release date:	March 2012
First published:	March 2012
Authors:	Xianping Guo • Onesimo Hernandez-Lerma
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	234
Edition:	2009 ed.
ISBN-13:	978-3-642-26072-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Optimization > General
LSN:	3-642-26072-1
Barcode:	9783642260728

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