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  • 标题:Lossy Kernels for Hitting Subgraphs
  • 本地全文:下载
  • 作者:Eduard Eiben ; Danny Hermelin ; M. S. Ramanujan
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2017
  • 卷号:83
  • 页码:67:1-67:14
  • DOI:10.4230/LIPIcs.MFCS.2017.67
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:In this paper, we study the Connected H-hitting Set and Dominating Set problems from the perspective of approximate kernelization, a framework recently introduced by Lokshtanov et al. [STOC 2017]. For the Connected H-hitting set problem, we obtain an \alpha-approximate kernel for every \alpha>1 and complement it with a lower bound for the natural weighted version. We then perform a refined analysis of the tradeoff between the approximation factor and kernel size for the Dominating Set problem on d-degenerate graphs and provide an interpolation of approximate kernels between the known d^2-approximate kernel of constant size and 1-approximate kernel of size k^{O(d^2)}.
  • 关键词:parameterized algorithms; lossy kernelization; graph theory
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