Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>
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.
| Autorius: | Onésimo Hernández-Lerma, Xianping Guo, |
| Serija: | Stochastic Modelling and Applied Probability |
| Leidėjas: | Springer Berlin Heidelberg |
| Išleidimo metai: | 2012 |
| Knygos puslapių skaičius: | 252 |
| ISBN-10: | 3642260721 |
| ISBN-13: | 9783642260728 |
| Formatas: | 235 x 155 x 14 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Continuous-Time Markov Decision Processes: Theory and Applications“
