ISBN: 9783030769307 - modern trends in controlled stochastic processes:: theory and applications, v.iii (emergence, complexity and computation, band 41) (4 Ergebnisse)

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 368 | Sprache: Englisch | Produktart: Bücher | This book presents state-of-the-art solution methods and applications of stochastic optimal control. It is a collection 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 optimal control,- as well as practitioners will find this book appealing and a valuable reference. ¿.…

Taschenbuch. Zustand: Neu. Modern Trends in Controlled Stochastic Processes: | Theory and Applications, [.] | Alexey Piunovskiy (u. a.) | Taschenbuch | Emergence, Complexity and Computation | xii | Englisch | 2022 | Springer | EAN 9783030769307 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New. In English.

Taschenbuch. Zustand: 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.…