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Présentation de l'éditeur
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.
Biographie de l'auteur
Onésimo Hernández-Lerma received the Science and Arts National Award from the Government of MEXICO in 2001, an honorary doctorate from the University of Sonora in 2003, and the Scopus Prize from Elsevier in 2008. Xianping Guo received the He-Pan-Qing-Yi Best Paper Award from the 7th Word Congress on Intelligent Control and Automation in 2008.
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- ÉditeurSpringer
- Date d'édition2012
- ISBN 10 3642260721
- ISBN 13 9783642260728
- ReliureBroché
- Langueanglais
- Nombre de pages252
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Continuous-Time Markov Decision Processes: Theory and Applications (Stochastic Modelling and Applied Probability, 62)
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Continuous-Time Markov Decision Processes
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Springer Berlin Heidelberg Mrz 2012, 2012
ISBN 10 : 3642260721
ISBN 13 : 9783642260728
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Taschenbuch
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Thisvolume 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. 252 pp. Englisch. N° de réf. du vendeur 9783642260728
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Continuous-Time Markov Decision Processes : Theory and Applications
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642260721
ISBN 13 : 9783642260728
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Thisvolume 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. N° de réf. du vendeur 9783642260728
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Continuous-Time Markov Decision Processes
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642260721
ISBN 13 : 9783642260728
Neuf
Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. To the best of our knowledge, it is the first book completely devoted to continuous-time Markov Decision ProcessesIt studies continuous-time MDPs allowing unbounded transition rates, which is the case in most applicationsIt is thus distingu. N° de réf. du vendeur 5054147
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Continuous-time Markov Decision Processes: Theory and Applications
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Continuous-Time Markov Decision Processes: Theory and Applications (Stochastic Modelling and Applied Probability, 62)
Edité par
Springer, 2012
ISBN 10 : 3642260721
ISBN 13 : 9783642260728
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Paperback
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