Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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Published by Springer International Publishing Nov 2020, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a systematic and rigorous treatment of continuous-time Markov decision processes, covering both theory and possible applications to queueing systems, epidemiology, finance, and other fields. Unlike most books on the subject, much attention is paid to problems with functional constraints and the realizability of strategies.Three major methods of investigations are presented, based on dynamic programming, linear programming, and reduction to discrete-time problems. Although the main focus is on models with total (discounted or undiscounted) cost criteria, models with average cost criteria and with impulsive controls are also discussed in depth.The book is self-contained. A separate chapter is devoted to Markov pure jump processes and the appendices collect the requisite background on real analysis and applied probability. All the statements in the main text are proved in detail.Researchers and graduate students in applied probability, operational research, statistics and engineering will find this monograph interesting, useful and valuable. 608 pp. Englisch.
Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
Seller: GreatBookPricesUK, Castle Donington, DERBY, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Springer International Publishing, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a systematic and rigorous treatment of continuous-time Markov decision processes, covering both theory and possible applications to queueing systems, epidemiology, finance, and other fields. Unlike most books on the subject, much attention is paid to problems with functional constraints and the realizability of strategies.Three major methods of investigations are presented, based on dynamic programming, linear programming, and reduction to discrete-time problems. Although the main focus is on models with total (discounted or undiscounted) cost criteria, models with average cost criteria and with impulsive controls are also discussed in depth.The book is self-contained. A separate chapter is devoted to Markov pure jump processes and the appendices collect the requisite background on real analysis and applied probability. All the statements in the main text are proved in detail.Researchers and graduate students in applied probability, operational research, statistics and engineering will find this monograph interesting, useful and valuable.
Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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Published by Springer International Publishing, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Features a detailed treatment of constrained problemsCovers exponential semi-Markov decision processesIncludes various unpublished results and illustrates the theory with new solved examplesIntroduces new and broad classes of str.
Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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Published by Springer Nature, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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Hardcover. Condition: Brand New. 607 pages. 9.25x6.10x9.21 inches. In Stock.
Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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Published by Springer, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
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