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  • 标题:Brief Announcement: Distributed Graph Problems Through an Automata-Theoretic Lens
  • 本地全文:下载
  • 作者:Yi-Jun Chang ; Jan Studený ; Jukka Suomela
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:179
  • 页码:1-3
  • DOI:10.4230/LIPIcs.DISC.2020.41
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We study the following algorithm synthesis question: given the description of a locally checkable graph problem Î for paths or cycles, determine in which instances Î is solvable, determine what is the locality of Π, and construct an asymptotically optimal distributed algorithm for solving Î (in the usual LOCAL model of distributed computing). To answer such questions, we represent Î as a nondeterministic finite automaton â"³ over a unary alphabet, and identify polynomial-time-computable properties of automaton â"³ that capture the locality and solvability of problem Π.
  • 关键词:Algorithm synthesis; locally checkable labeling problems; LOCAL model; locality; distributed computational complexity; nondeterministic finite automata
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