Continuous-time Markov decision processes : theory and applications
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 populati...
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| Hlavní autoři: | , , |
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| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2009. |
| Edice: | Stochastic Modelling and Applied Probability
62 |
| Témata: | |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Description d'après consultation du 30 mars 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Continuous-time Markov decision processes, theory and applications, Xianping Guo, Onésimo Hernández-Lerma, 2009, Heidelberg, Springer, 1 vol. (XVII-231 p.), Stochastic Modelling and Applied Probability, 978-3-642-02546-4 • Continuous-Time Markov Decision Processes, Texte imprimé, 9783642025488 • Continuous-Time Markov Decision Processes, Texte imprimé, 9783642260728 |