XNLP-Completeness for Parameterized Problems on Graphs with a Linear Structure

Hans L. Bodlaender*, Carla Groenland, Hugo Jacob, Lars Jaffke, Paloma T. Lima

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper, we showcase the class XNLP as a natural place for many hard problems parameterized by linear width measures. This strengthens existing W[1]-hardness proofs for these problems, since XNLP-hardness implies W[t]-hardness for all t. It also indicates, via a conjecture by Pilipczuk and Wrochna [ToCT 2018], that any XP algorithm for such problems is likely to require XP space. In particular, we show XNLP-completeness for natural problems parameterized by pathwidth, linear clique-width, and linear mim-width. The problems we consider are Independent Set, Dominating Set, Odd Cycle Transversal, (q-)Coloring, Max Cut, Maximum Regular Induced Subgraph, Feedback Vertex Set, Capacitated (Red-Blue) Dominating Set, and Bipartite Bandwidth.

Original languageEnglish
Title of host publication17th International Symposium on Parameterized and Exact Computation, IPEC 2022
EditorsHolger Dell, Jesper Nederlof
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Pages8:1-8:18
Number of pages18
ISBN (Electronic)9783959772600
ISBN (Print)9783959772600
DOIs
Publication statusPublished - 1 Dec 2022
Event17th International Symposium on Parameterized and Exact Computation, IPEC 2022 - Potsdam, Germany
Duration: 7 Sept 20229 Sept 2022

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume249
ISSN (Print)1868-8969

Conference

Conference17th International Symposium on Parameterized and Exact Computation, IPEC 2022
Country/TerritoryGermany
CityPotsdam
Period7/09/229/09/22

Keywords

  • bandwidth
  • linear clique-width
  • linear mim-width
  • parameterized complexity
  • pathwidth
  • W-hierarchy
  • XNLP

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