Continuous-Time Markov Decision Processes: Borel Space Models and General Control Strategies (1st ed. 2020) (Probability Theory and Stochastic Modelling #97)

By: Yi Zhang and Alexey Piunovskiy

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783030549879
Related ISBNs:: 9783030549862
Publisher:: Springer International Publishing
Date of Addition:: 12/11/20
Copyrighted By:: Springer
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Foreword by:: Albert Nikolaevich Shiryaev