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  • Titel: Fractals for Kernelization Lower Bounds, With an Application to Length-Bounded Cut Problems
  • Beteiligte: Fluschnik, Till [Verfasser:in]; Hermelin, Danny [Verfasser:in]; Nichterlein, André [Verfasser:in]; Niedermeier, Rolf [Verfasser:in]
  • Erschienen: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2016
  • Sprache: Englisch
  • DOI: https://doi.org/10.4230/LIPIcs.ICALP.2016.25
  • Schlagwörter: graph modification problems ; interdiction problems ; cross-compositions ; Parameterized complexity ; polynomial-time data reduction ; lower bounds
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  • Beschreibung: 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.
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