Description: Continuous-Time Markov Decision Processes Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Theory and Applications Author(s): Xianping Guo, Onesimo Hernandez-Lerma Format: Hardback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642025464, 978-3642025464 Synopsis 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.
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Book Title: Continuous-Time Markov Decision Processes
Number of Pages: 234 Pages
Language: English
Publication Name: Continuous-Time Markov Decision Processes: Theory and Applications
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Publication Year: 2009
Subject: Mathematics, Management
Item Height: 235 mm
Item Weight: 1180 g
Type: Textbook
Author: Onesimo Hernandez-Lerma, Xianping Guo
Subject Area: Data Analysis
Series: Stochastic Modelling and Applied Probability
Item Width: 155 mm
Format: Hardcover
