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.STACS.2020.56
URN: urn:nbn:de:0030-drops-119177
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/11917/
Go to the corresponding LIPIcs Volume Portal


Gajarský, Jakub ; Kreutzer, Stephan

Computing Shrub-Depth Decompositions

pdf-format:
LIPIcs-STACS-2020-56.pdf (0.7 MB)


Abstract

Shrub-depth is a width measure of graphs which, roughly speaking, corresponds to the smallest depth of a tree into which a graph can be encoded. It can be thought of as a low-depth variant of clique-width (or rank-width), similarly as treedepth is a low-depth variant of treewidth. We present an fpt algorithm for computing decompositions of graphs of bounded shrub-depth. To the best of our knowledge, this is the first algorithm which computes the decomposition directly, without use of rank-width decompositions and FO or MSO logic.

BibTeX - Entry

@InProceedings{gajarsk_et_al:LIPIcs:2020:11917,
  author =	{Jakub Gajarsk{\'y} and Stephan Kreutzer},
  title =	{{Computing Shrub-Depth Decompositions}},
  booktitle =	{37th International Symposium on Theoretical Aspects of Computer Science (STACS 2020)},
  pages =	{56:1--56:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-140-5},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{154},
  editor =	{Christophe Paul and Markus Bl{\"a}ser},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/11917},
  URN =		{urn:nbn:de:0030-drops-119177},
  doi =		{10.4230/LIPIcs.STACS.2020.56},
  annote =	{Keywords: shrub-depth, tree-model, decomposition, fixed-parameter tractability}
}

Keywords: shrub-depth, tree-model, decomposition, fixed-parameter tractability
Collection: 37th International Symposium on Theoretical Aspects of Computer Science (STACS 2020)
Issue Date: 2020
Date of publication: 04.03.2020


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