The beta version of DROPS 2 is now publicly available! Check this page out at DROPS 2 now!


License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CPM.2020.12
URN: urn:nbn:de:0030-drops-121375
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/12137/
Go to the corresponding LIPIcs Volume Portal

Funakoshi, Mitsuru ; Nakashima, Yuto ; Inenaga, Shunsuke ; Bannai, Hideo ; Takeda, Masayuki ; Shinohara, Ayumi

Detecting k-(Sub-)Cadences and Equidistant Subsequence Occurrences

pdf-format:
LIPIcs-CPM-2020-12.pdf (0.5 MB)

Abstract

The equidistant subsequence pattern matching problem is considered. Given a pattern string P and a text string T, we say that P is an equidistant subsequence of T if P is a subsequence of the text such that consecutive symbols of P in the occurrence are equally spaced. We can consider the problem of equidistant subsequences as generalizations of (sub-)cadences. We give bit-parallel algorithms that yield o(n²) time algorithms for finding k-(sub-)cadences and equidistant subsequences. Furthermore, O(nlog² n) and O(nlog n) time algorithms, respectively for equidistant and Abelian equidistant matching for the case |P| = 3, are shown. The algorithms make use of a technique that was recently introduced which can efficiently compute convolutions with linear constraints.

BibTeX - Entry

@InProceedings{funakoshi_et_al:LIPIcs:2020:12137,
  author =	{Mitsuru Funakoshi and Yuto Nakashima and Shunsuke Inenaga and Hideo Bannai and Masayuki Takeda and Ayumi Shinohara},
  title =	{{Detecting k-(Sub-)Cadences and Equidistant Subsequence Occurrences}},
  booktitle =	{31st Annual Symposium on Combinatorial Pattern Matching (CPM 2020)},
  pages =	{12:1--12:11},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-149-8},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{161},
  editor =	{Inge Li G{\o}rtz and Oren Weimann},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/12137},
  URN =		{urn:nbn:de:0030-drops-121375},
  doi =		{10.4230/LIPIcs.CPM.2020.12},
  annote =	{Keywords: string algorithms, pattern matching, bit parallelism, subsequences, cadences}
}

Keywords: string algorithms, pattern matching, bit parallelism, subsequences, cadences
Collection: 31st Annual Symposium on Combinatorial Pattern Matching (CPM 2020)
Issue Date: 2020
Date of publication: 09.06.2020

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI