Selected Topics On Continuous-time Controlled Markov Chains And Markov Games (Hardcover)

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.

General

Imprint:	Imperial College Press
Country of origin:	United Kingdom
Series:	Icp Advanced Texts In Mathematics, 5
Release date:	March 2012
First published:	March 2012
Authors:	Onesimo Hernandez-Lerma • Tomas Prieto-Rumeau
Dimensions:	232 x 158 x 22mm (L x W x T)
Format:	Hardcover
Pages:	292
ISBN-13:	978-1-84816-848-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
LSN:	1-84816-848-9
Barcode:	9781848168480

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