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  • 标题:On the Parameterized Complexity of Grid Contraction
  • 本地全文:下载
  • 作者:Saket Saurabh ; Uverton dos Santos Souza ; Prafullkumar Tale
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:162
  • 页码:34:1-34:17
  • DOI:10.4230/LIPIcs.SWAT.2020.34
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:For a family of graphs ð'¢, the ð'¢-Contraction problem takes as an input a graph G and an integer k, and the goal is to decide if there exists F âS† E(G) of size at most k such that G/F belongs to ð'¢. Here, G/F is the graph obtained from G by contracting all the edges in F. In this article, we initiate the study of Grid Contraction from the parameterized complexity point of view. We present a fixed parameter tractable algorithm, running in time c^k â<. V(G) ^{{O}(1)}, for this problem. We complement this result by proving that unless ETH fails, there is no algorithm for Grid Contraction with running time c^{o(k)} â<. V(G) ^{{O}(1)}. We also present a polynomial kernel for this problem.
  • 关键词:Grid Contraction; FPT; Kernelization; Lower Bound
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