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Selected Topics on Continuous-Time Controlled Markov Chains and Markov Games
Contributor(s): Prieto-Rumeau, Tomas (Author), Hernandez-Lerma, Onesimo (Author)
ISBN: 1848168489     ISBN-13: 9781848168480
Publisher: Imperial College Press
OUR PRICE:   $104.50  
Product Type: Hardcover
Published: March 2012
Qty:
Additional Information
BISAC Categories:
- Mathematics | Optimization
- Mathematics | Mathematical Analysis
- Mathematics | Probability & Statistics - Stochastic Processes
Dewey: 519.5
Series: ICP Advanced Texts in Mathematics
Physical Information: 0.9" H x 6" W x 9" (1.20 lbs) 292 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This book concerns continuous-time controlled Markov chains, also known as continuous-time Markov decision processes. They form a class of stochastic control problems in which a single decision-maker wishes to optimize a given objective function. This book is also concerned with Markov games, where two decision-makers (or players) try to optimize their own objective function. Both decision-making processes appear in a large number of applications in economics, operations research, engineering, and computer science, among other areas.An extensive, self-contained, up-to-date analysis of basic optimality criteria (such as discounted and average reward), and advanced optimality criteria (e.g., bias, overtaking, sensitive discount, and Blackwell optimality) is presented. A particular emphasis is made on the application of the results herein: algorithmic and computational issues are discussed, and applications to population models and epidemic processes are shown.This book is addressed to students and researchers in the fields of stochastic control and stochastic games. Moreover, it could be of interest also to undergraduate and beginning graduate students because the reader is not supposed to have a high mathematical background: a working knowledge of calculus, linear algebra, probability, and continuous-time Markov chains should suffice to understand the contents of the book.