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  • 标题:A Linear Acceleration Theorem for 2D Cellular Automata on All Complete Neighborhoods
  • 本地全文:下载
  • 作者:Ana{\"e}l Grandjean ; Victor Poupet
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2016
  • 卷号:55
  • 页码:115:1-115:12
  • DOI:10.4230/LIPIcs.ICALP.2016.115
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要: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.
  • 关键词:2D Cellular automata; linear acceleration; language recognition
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