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文章基本信息

  • 标题:A Polynomial-Time Approximation Algorithm for All-Terminal Network Reliability
  • 作者:Heng Guo ; Mark Jerrum
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2018
  • 卷号:107
  • 页码:68:1-68:12
  • DOI:10.4230/LIPIcs.ICALP.2018.68
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We give a fully polynomial-time randomized approximation scheme (FPRAS) for the all-terminal network reliability problem, which is to determine the probability that, in a undirected graph, assuming each edge fails independently, the remaining graph is still connected. Our main contribution is to confirm a conjecture by Gorodezky and Pak (Random Struct. Algorithms, 2014), that the expected running time of the "cluster-popping" algorithm in bi-directed graphs is bounded by a polynomial in the size of the input.
  • 关键词:Approximate counting; Network Reliability; Sampling; Markov chains
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