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  • 标题:Compressed Orthogonal Search on Suffix Arrays with Applications to Range LCP
  • 本地全文:下载
  • 作者:Kotaro Matsuda ; Kunihiko Sadakane ; Tatiana Starikovskaya
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:161
  • 页码:23:1-23:13
  • DOI:10.4230/LIPIcs.CPM.2020.23
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We propose a space-efficient data structure for orthogonal range search on suffix arrays. For general two-dimensional orthogonal range search problem on a set of n points, there exists an n log n (1+o(1))-bit data structure supporting O(log n)-time counting queries [Mäkinen, Navarro 2007]. The space matches the information-theoretic lower bound. However, if we focus on a point set representing a suffix array, there is a chance to obtain a space efficient data structure. We answer this question affirmatively. Namely, we propose a data structure for orthogonal range search on suffix arrays which uses O(1/(ε) n (Hâ,€+1)) bits where Hâ,€ is the order-0 entropy of the string and answers a counting query in O(n^ε) time for any constant ε>0. As an application, we give an O(1/(ε) n (Hâ,€+1))-bit data structure for the range LCP problem.
  • 关键词:Orthogonal Range Search; Succinct Data Structure; Suffix Array
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