License: Creative Commons Attribution-NoDerivs 3.0 Unported license (CC BY-ND 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.STACS.2008.1344
URN: urn:nbn:de:0030-drops-13442
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2008/1344/
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Crochemore, Maxime ; Ilie, Lucian

Understanding Maximal Repetitions in Strings

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Abstract

The cornerstone of any algorithm computing all repetitions in a
string of length $n$ in ${mathcal O(n)$ time is the fact that
the number of runs (or maximal repetitions) is ${mathcal O(n)$.
We give a simple proof of this result. As a consequence of our
approach, the stronger result concerning the linearity of the sum
of exponents of all runs follows easily.


BibTeX - Entry

@InProceedings{crochemore_et_al:LIPIcs:2008:1344,
  author =	{Maxime Crochemore and Lucian Ilie},
  title =	{{Understanding Maximal Repetitions in Strings}},
  booktitle =	{25th International Symposium on Theoretical Aspects of Computer Science},
  pages =	{11--16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-06-4},
  ISSN =	{1868-8969},
  year =	{2008},
  volume =	{1},
  editor =	{Susanne Albers and Pascal Weil},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2008/1344},
  URN =		{urn:nbn:de:0030-drops-13442},
  doi =		{10.4230/LIPIcs.STACS.2008.1344},
  annote =	{Keywords: Combinatorics on words, repetitions in strings, runs, maximal repetitions, maximal periodicities, sum of exponents}
}

Keywords: Combinatorics on words, repetitions in strings, runs, maximal repetitions, maximal periodicities, sum of exponents
Collection: 25th International Symposium on Theoretical Aspects of Computer Science
Issue Date: 2008
Date of publication: 06.02.2008


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