Continuous-Time Markov Decision Processes: Theory and Applications (Stochastic Modelling and Applied Probability #62)
by Xianping Guo and Onésimo Hernández-Lerma
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BookPal × TalezoContinuous-Time Markov Decision Processes
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.
Details
- Publisher
- Springer Berlin Heidelberg
- Authors
- Xianping Guo, Onésimo Hernández-Lerma
- Format
- Hardcover
- Published
- Oct 1, 2009
- ISBN-13
- 9783642025464
- Pages
- 234
- Printing
- Printed on demand
Continuous-Time Markov Decision Processes for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $105.59 | 12% off list |
| 50 – 99 | $104.39 | 13% off list |
| 100+ | $103.19 | 14% off list |
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Continuous-Time Markov Decision Processes: Theory and Applications (Stochastic Modelling and Applied Probability #62)
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