License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CPM.2022.8
URN: urn:nbn:de:0030-drops-161357
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16135/
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Jugé, Vincent

Reduction Ratio of the IS-Algorithm: Worst and Random Cases

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LIPIcs-CPM-2022-8.pdf (0.8 MB)

Abstract

We study the IS-algorithm, a well-known linear-time algorithm for computing the suffix array of a word. This algorithm relies on transforming the input word w into another word, called the reduced word of w, that will be at least twice shorter; then, the algorithm recursively computes the suffix array of the reduced word. In this article, we study the reduction ratio of the IS-algorithm, i.e., the ratio between the lengths of the input word and the word obtained after reducing k times the input word. We investigate both worst cases, in which we find precise results, and random cases, where we prove some strong convergence phenomena. Finally, we prove that, if the input word is a randomly chosen word of length n, we should not expect much more than log(log(n)) recursive function calls.

BibTeX - Entry

@InProceedings{juge:LIPIcs.CPM.2022.8,
  author =	{Jug\'{e}, Vincent},
  title =	{{Reduction Ratio of the IS-Algorithm: Worst and Random Cases}},
  booktitle =	{33rd Annual Symposium on Combinatorial Pattern Matching (CPM 2022)},
  pages =	{8:1--8:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-234-1},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{223},
  editor =	{Bannai, Hideo and Holub, Jan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/16135},
  URN =		{urn:nbn:de:0030-drops-161357},
  doi =		{10.4230/LIPIcs.CPM.2022.8},
  annote =	{Keywords: Word combinatorics, Suffix array, IS algorithm}
}

Keywords: Word combinatorics, Suffix array, IS algorithm
Collection: 33rd Annual Symposium on Combinatorial Pattern Matching (CPM 2022)
Issue Date: 2022
Date of publication: 22.06.2022

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