首页    期刊浏览 2024年09月12日 星期四
登录注册

文章基本信息

  • 标题:Fractals for Kernelization Lower Bounds, With an Application to Length-Bounded Cut Problems
  • 本地全文:下载
  • 作者:Till Fluschnik ; Danny Hermelin ; Andr{\'e} Nichterlein
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2016
  • 卷号:55
  • 页码:25:1-25:14
  • DOI:10.4230/LIPIcs.ICALP.2016.25
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:Bodlaender et al.'s [Bodlaender/Jansen/Kratsch,2014] cross-composition technique is a popular method for excluding polynomial-size problem kernels for NP-hard parameterized problems. We present a new technique exploiting triangle-based fractal structures for extending the range of applicability of cross-compositions. Our technique makes it possible to prove new no-polynomial-kernel results for a number of problems dealing with length-bounded cuts. Roughly speaking, our new technique combines the advantages of serial and parallel composition. In particular, answering an open question of Golovach and Thilikos [Golovach/Thilikos,2011], we show that, unless NP subseteq coNP/poly, the NP-hard Length-Bounded Edge-Cut problem (delete at most k edges such that the resulting graph has no s-t path of length shorter than l) parameterized by the combination of k and l has no polynomial-size problem kernel. Our framework applies to planar as well as directed variants of the basic problems and also applies to both edge and vertex deletion problems.
  • 关键词:Parameterized complexity; polynomial-time data reduction; cross-compositions; lower bounds; graph modification problems; interdiction problems
国家哲学社会科学文献中心版权所有