Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents state-of-the-art solution methods and applications of stochastic optimal control. It is acollection of extended papers discussed at the traditional Liverpool workshop on controlled stochastic processes with participants from both the east and the west. New problems are formulated, and progresses of ongoing research are reported.Topics covered in this book include theoretical results and numerical methods for Markov and semi-Markov decision processes, optimal stopping of Markov processes, stochastic games, problems with partial information, optimal filtering, robust control, Q-learning, and self-organizing algorithms. Real-life case studies and applications, e.g.,queueing systems, forest management, control of water resources,marketing science, and healthcare, are presented.Scientific researchers and postgraduate students interested in stochastic optimalcontrol,-as well as practitioners will find this book appealing and a valuable reference. 368 pp. Englisch. Seller Inventory # 9783030769277

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Modern Trends in Controlled Stochastic Processes:: Theory and Applications, V.III (Emergence, Complexity and Computation, 41)

Published by Springer, 2021

ISBN 10: 3030769275 ISBN 13: 9783030769277

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Modern Trends in Controlled Stochastic Processes: : Theory and Applications, V.III

Yi Zhang

Published by Springer International Publishing, 2021

ISBN 10: 3030769275 ISBN 13: 9783030769277

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Seller: AHA-BUCH GmbH, Einbeck, Germany

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents state-of-the-art solution methods and applications of stochastic optimal control. It is acollection of extended papers discussed at the traditional Liverpool workshop on controlled stochastic processes with participants from both the east and the west. New problems are formulated, and progresses of ongoing research are reported.Topics covered in this book include theoretical results and numerical methods for Markov and semi-Markov decision processes, optimal stopping of Markov processes, stochastic games, problems with partial information, optimal filtering, robust control, Q-learning, and self-organizing algorithms. Real-life case studies and applications, e.g.,queueing systems, forest management, control of water resources,marketing science, and healthcare, are presented.Scientific researchers and postgraduate students interested in stochastic optimalcontrol,-as well as practitioners will find this book appealing and a valuable reference. Seller Inventory # 9783030769277

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