Parameterized Problems Complete for Nondeterministic FPT time and Logarithmic Space

  • Hans L. Bodlaender
  • , Carla Groenland
  • , Jesper Nederlof
  • , Céline M.F. Swennenhuis

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

Abstract

Let XNLP be the class of parameterized prob-lems such that an instance of size n with parameter k can be solved nondeterministically in time f (k) nO(1) and space f (k) log(n) (for some computable function f). We give a wide variety of XNLP-complete problems, such as List Coloringand Precoloring Extensionwith pathwidth as parameter, Scheduling Of Jobs With Precedence Constraints, with both number of machines and partial order width as parameter, Bandwidthand variants of Weighted Cnf-satisfiability and reconfiguration problems. In particular, this implies that all these problems are W[t]-hard for all t. This also answers a long standing question on the parameterized complexity of the Bandwidth problem.

Original languageEnglish
Title of host publication2021 IEEE 62nd Annual Symposium on Foundations of Computer Science, FOCS 2021
PublisherInstitute of Electrical and Electronics Engineers
Pages193-204
Number of pages12
ISBN (Electronic)978-1-6654-2055-6
DOIs
Publication statusPublished - 4 Mar 2022
Event62nd Annual Symposium on Foundations of Computer Science, FOCS 2021 - Virtual
Duration: 7 Feb 202210 Feb 2022

Conference

Conference62nd Annual Symposium on Foundations of Computer Science, FOCS 2021
Abbreviated titleFOCS 2021
CityVirtual
Period7/02/2210/02/22

Keywords

  • Bandwidth
  • Parameterized complexity
  • Whierarchy
  • XNLP

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