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.ICALP.2016.115
URN: urn:nbn:de:0030-drops-62502
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6250/
Go to the corresponding LIPIcs Volume Portal


Grandjean, Anaƫl ; Poupet, Victor

A Linear Acceleration Theorem for 2D Cellular Automata on All Complete Neighborhoods

pdf-format:
LIPIcs-ICALP-2016-115.pdf (3 MB)


Abstract

Linear acceleration theorems are known for most computational models. Although such results have been proved for two-dimensional cellular automata working on specific neighborhoods, no general construction was known. We present here a technique of linear acceleration for all twodimensional languages recognized by cellular automata working on complete neighborhoods.

BibTeX - Entry

@InProceedings{grandjean_et_al:LIPIcs:2016:6250,
  author =	{Ana{\"e}l Grandjean and Victor Poupet},
  title =	{{A Linear Acceleration Theorem for 2D Cellular Automata on All Complete Neighborhoods}},
  booktitle =	{43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016)},
  pages =	{115:1--115:12},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-013-2},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{55},
  editor =	{Ioannis Chatzigiannakis and Michael Mitzenmacher and Yuval Rabani and Davide Sangiorgi},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6250},
  URN =		{urn:nbn:de:0030-drops-62502},
  doi =		{10.4230/LIPIcs.ICALP.2016.115},
  annote =	{Keywords: 2D Cellular automata, linear acceleration, language recognition}
}

Keywords: 2D Cellular automata, linear acceleration, language recognition
Collection: 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016)
Issue Date: 2016
Date of publication: 23.08.2016


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