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Singular Perturbations of Markov Chains and Decision Processes

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this survey we present a unified treatment of both singular and regular perturbations in finite Markov chains and decision processes. The treatment is based on the analysis of series expansions of various important entities such as the perturbed stationary distribution matrix, the deviation matrix, the mean-passage times matrix and others.
Original languageEnglish
Title of host publicationHandbook of Markov Decision Processes: Methods and Applications
EditorsEugene A. Feinberg, Adam Shwartz
Place of PublicationBoston, MA
PublisherSpringer US; Imprint: Springer
Pages113-150
Number of pages38
ISBN (Electronic)9781461508052
ISBN (Print)9781461352488
DOIs
StatePublished - 2002

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