Description: Continuous-Time Markov Decision Processes : Theory and Applications, Hardcover by Guo, Xianping; Hernandez-Lerma, Onesimo, ISBN 3642025463, ISBN-13 9783642025464, Like New Used, Free shipping in the US
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 : Theory and Applicatio
Number of Pages: Xviii, 234 Pages
Publication Name: Continuous-Time Markov Decision Processes : Theory and Applications
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2009
Subject: Probability & Statistics / Stochastic Processes, Probability & Statistics / General, Operations Research, Optimization
Item Weight: 41.6 Oz
Type: Textbook
Item Length: 9.3 in
Author: Xianping Guo, Onésimo Hernández-Lerma
Subject Area: Mathematics, Business & Economics
Item Width: 6.1 in
Series: Stochastic Modelling and Applied Probability Ser.
Format: Hardcover
