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.CSL.2020.36
URN: urn:nbn:de:0030-drops-116792
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Schmidt, Jonas ; Schwentick, Thomas ; Vortmeier, Nils ; Zeume, Thomas ; Kokkinis, Ioannis

Dynamic Complexity Meets Parameterised Algorithms

LIPIcs-CSL-2020-36.pdf (0.6 MB)


Dynamic Complexity studies the maintainability of queries with logical formulas in a setting where the underlying structure or database changes over time. Most often, these formulas are from first-order logic, giving rise to the dynamic complexity class DynFO. This paper investigates extensions of DynFO in the spirit of parameterised algorithms. In this setting structures come with a parameter k and the extensions allow additional "space" of size f(k) (in the form of an additional structure of this size) or additional time f(k) (in the form of iterations of formulas) or both. The resulting classes are compared with their non-dynamic counterparts and other classes. The main part of the paper explores the applicability of methods for parameterised algorithms to this setting through case studies for various well-known parameterised problems.

BibTeX - Entry

  author =	{Jonas Schmidt and Thomas Schwentick and Nils Vortmeier and Thomas Zeume and Ioannis Kokkinis},
  title =	{{Dynamic Complexity Meets Parameterised Algorithms}},
  booktitle =	{28th EACSL Annual Conference on Computer Science Logic (CSL 2020)},
  pages =	{36:1--36:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-132-0},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{152},
  editor =	{Maribel Fern{\'a}ndez and Anca Muscholl},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-116792},
  doi =		{10.4230/LIPIcs.CSL.2020.36},
  annote =	{Keywords: Dynamic complexity, parameterised complexity}

Keywords: Dynamic complexity, parameterised complexity
Collection: 28th EACSL Annual Conference on Computer Science Logic (CSL 2020)
Issue Date: 2020
Date of publication: 06.01.2020

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