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Algorithms for Markov stochastic models
Authors:Guanghui Xu
Affiliation:(1) Institute of Applied Mathematics, Chinese Academy of Sciences, Asian-Pacific Operations Research Center Within CAS and APORS, 100080 Beijing, China
Abstract:A survey of the main results of algorithmic studies of Markov processes and related stochastic models is shown. It consists of stationary solutions, transient solutions, first passage times, and multidimensional denumerable state Markov processes. In conclusion, some remarks on further works are presented.
Keywords:Markov press  stochastic model  algorithm  stationary solutions  transient solutions  first passage time  uniform error
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