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文章基本信息

  • 标题:Computing Exact Minimum Cuts Without Knowing the Graph
  • 作者:Aviad Rubinstein ; Tselil Schramm ; S. Matthew Weinberg
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2018
  • 卷号:94
  • 页码:39:1-39:16
  • DOI:10.4230/LIPIcs.ITCS.2018.39
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We give query-efficient algorithms for the global min-cut and the s-t cut problem in unweighted, undirected graphs. Our oracle model is inspired by the submodular function minimization problem: on query S \subset V, the oracle returns the size of the cut between S and V \ S. We provide algorithms computing an exact minimum $s$-$t$ cut in $G$ with ~{O}(n^{5/3}) queries, and computing an exact global minimum cut of G with only ~{O}(n) queries (while learning the graph requires ~{\Theta}(n^2) queries).
  • 关键词:query complexity; minimum cut
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