License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ISAAC.2018.20
URN: urn:nbn:de:0030-drops-99688
URL: https://drops.dagstuhl.de/opus/volltexte/2018/9968/
Go to the corresponding LIPIcs Volume Portal


Kim, Eun Jung ; Serna, Maria ; Thilikos, Dimitrios M.

Data-Compression for Parametrized Counting Problems on Sparse Graphs

pdf-format:
LIPIcs-ISAAC-2018-20.pdf (0.5 MB)


Abstract

We study the concept of compactor, which may be seen as a counting-analogue of kernelization in counting parameterized complexity. For a function F:Sigma^* -> N and a parameterization kappa: Sigma^* -> N, a compactor (P,M) consists of a polynomial-time computable function P, called condenser, and a computable function M, called extractor, such that F=M o P, and the condensing P(x) of x has length at most s(kappa(x)), for any input x in Sigma^*. If s is a polynomial function, then the compactor is said to be of polynomial-size. Although the study on counting-analogue of kernelization is not unprecedented, it has received little attention so far. We study a family of vertex-certified counting problems on graphs that are MSOL-expressible; that is, for an MSOL-formula phi with one free set variable to be interpreted as a vertex subset, we want to count all A subseteq V(G) where |A|=k and (G,A) models phi. In this paper, we prove that every vertex-certified counting problems on graphs that is MSOL-expressible and treewidth modulable, when parameterized by k, admits a polynomial-size compactor on H-topological-minor-free graphs with condensing time O(k^2n^2) and decoding time 2^{O(k)}. This implies the existence of an FPT-algorithm of running time O(n^2 k^2)+2^{O(k)}. All aforementioned complexities are under the Uniform Cost Measure (UCM) model where numbers can be stored in constant space and arithmetic operations can be done in constant time.

BibTeX - Entry

@InProceedings{kim_et_al:LIPIcs:2018:9968,
  author =	{Eun Jung Kim and Maria Serna and Dimitrios M. Thilikos},
  title =	{{Data-Compression for Parametrized Counting Problems on Sparse Graphs}},
  booktitle =	{29th International Symposium on Algorithms and Computation  (ISAAC 2018)},
  pages =	{20:1--20:13},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-094-1},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{123},
  editor =	{Wen-Lian Hsu and Der-Tsai Lee and Chung-Shou Liao},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9968},
  URN =		{urn:nbn:de:0030-drops-99688},
  doi =		{10.4230/LIPIcs.ISAAC.2018.20},
  annote =	{Keywords: Parameterized counting, compactor, protrusion decomposition}
}

Keywords: Parameterized counting, compactor, protrusion decomposition
Collection: 29th International Symposium on Algorithms and Computation (ISAAC 2018)
Issue Date: 2018
Date of publication: 06.12.2018


DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI