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  • 标题:Fast Compressed Self-Indexes with Deterministic Linear-Time Construction
  • 本地全文:下载
  • 作者:J. Ian Munro ; Gonzalo Navarro ; Yakov Nekrich
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2017
  • 卷号:92
  • 页码:57:1-57:12
  • DOI:10.4230/LIPIcs.ISAAC.2017.57
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We introduce a compressed suffix array representation that, on a text T of length n over an alphabet of size \sigma, can be built in O(n) deterministic time, within O(n\log\sigma) bits of working space, and counts the number of occurrences of any pattern P in T in time O(|P| + \log\log_w \sigma) on a RAM machine of w=\Omega(\log n)-bit words. This new index outperforms all the other compressed indexes that can be built in linear deterministic time, and some others. The only faster indexes can be built in linear time only in expectation, or require \Theta(n\log n) bits.
  • 关键词:Succinct data structures; Self-indexes; Suffix arrays; Deterministic construction
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