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  • 标题:A Near-Linear-Time Algorithm for Weak Bisimilarity on Markov Chains
  • 本地全文:下载
  • 作者:David N. Jansen ; Jan Friso Groote ; Ferry Timmers
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:171
  • 页码:8:1-8:20
  • DOI:10.4230/LIPIcs.CONCUR.2020.8
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:This article improves the time bound for calculating the weak/branching bisimulation minimisation quotient on state-labelled discrete-time Markov chains from O(m n) to an expected-time O(m log⁴ n), where n is the number of states and m the number of transitions. For these results we assume that the set of state labels AP is small ( AP â^^ O(m/n log⁴ n)). It follows the ideas of Groote et al. (ACM ToCL 2017) in combination with an efficient algorithm to handle decremental strongly connected components (Bernstein et al., STOC 2019).
  • 关键词:Behavioural Equivalence; weak Bisimulation; Markov Chain
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