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  • 标题:Parameterized Algorithms for Maximum Cut with Connectivity Constraints
  • 本地全文:下载
  • 作者:Hiroshi Eto ; Tesshu Hanaka ; Yasuaki Kobayashi
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2019
  • 卷号:148
  • 页码:1-15
  • DOI:10.4230/LIPIcs.IPEC.2019.13
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We study two variants of Maximum Cut, which we call Connected Maximum Cut and Maximum Minimal Cut, in this paper. In these problems, given an unweighted graph, the goal is to compute a maximum cut satisfying some connectivity requirements. Both problems are known to be NP-complete even on planar graphs whereas Maximum Cut on planar graphs is solvable in polynomial time. We first show that these problems are NP-complete even on planar bipartite graphs and split graphs. Then we give parameterized algorithms using graph parameters such as clique-width, tree-width, and twin-cover number. Finally, we obtain FPT algorithms with respect to the solution size.
  • 关键词:Maximum cut; Parameterized algorithm; NP-hardness; Graph parameter
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