Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Condition: New. pp. xi + 279.
Published by World Scientific Publishing Company, Incorporated Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
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Published by Imperial College Press, GB, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. 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.
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Hardcover. Condition: Brand New. 300 pages. 9.25x6.25x1.00 inches. In Stock.
Published by Imperial College Press, GB, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. 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.
Published by IMPERIAL COLLEGE PRESS, 2012
ISBN 10: 1848168489 ISBN 13: 9781848168480
Language: English
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Deals with continuous-time controlled Markov chains and Markov games. This book proposes assumptions on the control and game models that are easily verifiable (and verified) in practice. It also analyzes algorithmic and computational issues.Inhaltsv.