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

Guo, Xianping, Hernández-Lerma, Onésimo

ISBN 10: 3642025463 / ISBN 13: 9783642025464

Editore: Springer, 2009

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Titolo: Continuous-Time Markov Decision Processes: ...

Casa editrice: Springer

Data di pubblicazione: 2009

Legatura: Hardcover

Condizione: Like New

Tipologia articolo: book

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Riassunto:

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.

Recensione:

From the reviews:

“The book consists of 12 chapters. ... this is the first monograph on continuous-time Markov decision process. ... This is an important book written by leading experts on a mathematically rich topic which has many applications to engineering, business, and biological problems. ... scholars and students interested in developing the theory of continuous-time Markov decision Processes or working on their applications should have this book.” (E. A. Feinberg, Mathematical Reviews, Issue 2011 b)