Continuous-Time Markov Decision Processes - Borel Space Models and General Control Strategies (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Probability Theory and Stochastic Modelling, 97
Release date:	November 2021
First published:	2020
Authors:	Alexey Piunovskiy • Yi Zhang
Foreword by:	Albert Nikolaevich Shiryaev
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	583
Edition:	1st ed. 2020
ISBN-13:	978-3-03-054989-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Optimization > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	3-03-054989-5
Barcode:	9783030549893

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