Continuous-Time Markov Decision Processes Theory and Applications /

• Main Authors: Guo, Xianping (Author), Hernández-Lerma, Onésimo (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Stochastic Modelling and Applied Probability, 62
• Subjects: Mathematics.; Mathematical optimization.; Operations research.; Management science.; Probabilities.; Optimization.; Probability Theory and Stochastic Processes.; Operations Research, Management Science.
• Physical Description: XVIII, 234 p. online resource.
• ISBN: 9783642025471
• ISSN: 0172-4568 ;

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.