Description: 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. Onésimo Hernández-Lerma received the Science and Arts National Award from the Government of MEXICO in 2001, an honorary doctorate from the University of Sonora in 2003, and the Scopus Prize from Elsevier in 2008. Xianping Guo received the He-Pan-Qing-Yi Best Paper Award from the 7th Word Congress on Intelligent Control and Automation in 2008.
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EAN: 9783642260728
UPC: 9783642260728
ISBN: 9783642260728
MPN: N/A
Item Height: 1.4 cm
Number of Pages: Xviii, 234 Pages
Language: English
Publication Name: Continuous-Time Markov Decision Processes : Theory and Applications
Publisher: Springer Berlin / Heidelberg
Subject: Probability & Statistics / Stochastic Processes, Decision-Making & Problem Solving, Probability & Statistics / General, Operations Research, Optimization
Publication Year: 2012
Item Weight: 16 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics, Business & Economics
Author: Xianping Guo, Onésimo Hernández-Lerma
Item Width: 6.1 in
Series: Stochastic Modelling and Applied Probability Ser.
Format: Trade Paperback
