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  • 标题:Two-Dimensional Maximal Repetitions
  • 本地全文:下载
  • 作者:Amihood Amir ; Gad M. Landau ; Shoshana Marcus
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2018
  • 卷号:112
  • 页码:1-14
  • DOI:10.4230/LIPIcs.ESA.2018.2
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:Maximal repetitions or runs in strings have a wide array of applications and thus have been extensively studied. In this paper, we extend this notion to 2-dimensions, precisely defining a maximal 2D repetition. We provide initial bounds on the number of maximal 2D repetitions that can occur in a matrix. The main contribution of this paper is the presentation of the first algorithm for locating all maximal 2D repetitions in a matrix. The algorithm is efficient and straightforward, with runtime O(n^2 log n log log n+ rho log n), where n^2 is the size of the input, and rho is the number of 2D repetitions in the output.
  • 关键词:pattern matching algorithms; repetitions; periodicity; two-dimensional
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