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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Da: California Books, Miami, FL, U.S.A.
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Editore: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030549895 ISBN 13: 9783030549893
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 121,39
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Aggiungi al carrelloPaperback. Condizione: New. 2020 ed. 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.
Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 124,55
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Aggiungi al carrelloHardback. Condizione: New. 2020 ed. 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 123,14
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 125,21
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 126,22
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 620.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 159,24
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 159,24
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Condizione: New.
Editore: World Scientific Europe Ltd, 2025
ISBN 10: 1800616759 ISBN 13: 9781800616752
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 159,20
Quantità: 15 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: As New. Unread book in perfect condition.
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Condizione: New.
Editore: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030549895 ISBN 13: 9783030549893
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 109,80
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Aggiungi al carrelloPaperback. Condizione: New. 2020 ed. 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.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 174,26
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Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030549860 ISBN 13: 9783030549862
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 112,69
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Aggiungi al carrelloHardback. Condizione: New. 2020 ed. 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.
EUR 173,77
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 165,92
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Aggiungi al carrelloPaperback. Condizione: New. New. book.
Editore: World Scientific Europe Ltd, London, 2025
ISBN 10: 1800616759 ISBN 13: 9781800616752
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 170,47
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Markov Decision Processes (MDPs) form a cornerstone of applied probability, with over 50 years of rich research history. Throughout this time, numerous foundational books and thousands of journal articles have shaped the field. The central objective of MDP theory is to identify the optimal control strategy for Markov random processes with discrete time. Interestingly, the best control strategies often display unexpected or counterintuitive behaviors, as documented by a wide array of studies.This book gathers some of the most compelling examples of such phenomena while introducing new ones. By doing so, it serves as a valuable companion to existing textbooks. While many examples require little to no prior knowledge, others delve into advanced topics and will primarily interest specialists.In this second edition, extensive revisions have been made, correcting errors and refining the content, with a wealth of new examples added. The range of examples spans from elementary to advanced, requiring background knowledge in areas like measure theory, convex analysis, and advanced probability. A new chapter on continuous time jump processes has also been introduced. The entire text has been reworked for clarity and accessibility.This book is an essential resource for active researchers and graduate students in the field of Markov Decision Processes. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: World Scientific Europe Ltd, GB, 2025
ISBN 10: 1800616759 ISBN 13: 9781800616752
Lingua: Inglese
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. Markov Decision Processes (MDPs) form a cornerstone of applied probability, with over 50 years of rich research history. Throughout this time, numerous foundational books and thousands of journal articles have shaped the field. The central objective of MDP theory is to identify the optimal control strategy for Markov random processes with discrete time. Interestingly, the best control strategies often display unexpected or counterintuitive behaviors, as documented by a wide array of studies.This book gathers some of the most compelling examples of such phenomena while introducing new ones. By doing so, it serves as a valuable companion to existing textbooks. While many examples require little to no prior knowledge, others delve into advanced topics and will primarily interest specialists.In this second edition, extensive revisions have been made, correcting errors and refining the content, with a wealth of new examples added. The range of examples spans from elementary to advanced, requiring background knowledge in areas like measure theory, convex analysis, and advanced probability. A new chapter on continuous time jump processes has also been introduced. The entire text has been reworked for clarity and accessibility.This book is an essential resource for active researchers and graduate students in the field of Markov Decision Processes.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 204,53
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