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.FSTTCS.2016.36
URN: urn:nbn:de:0030-drops-68717
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6871/
Go to the corresponding LIPIcs Volume Portal

Bille, Philip ; Christiansen, Anders Roy ; Cording, Patrick Hagge ; Gortz, Inge Li

Finger Search in Grammar-Compressed Strings

pdf-format:
LIPIcs-FSTTCS-2016-36.pdf (0.6 MB)

Abstract

Grammar-based compression, where one replaces a long string by a small context-free grammar that generates the string, is a simple and powerful paradigm that captures many popular compression schemes. Given a grammar, the random access problem is to compactly represent the grammar while supporting random access, that is, given a position in the original uncompressed string report the character at that position. In this paper we study the random access problem with the finger search property, that is, the time for a random access query should depend on the distance between a specified index f, called the finger, and the query index i. We consider both a static variant, where we first place a finger and subsequently access indices near the finger efficiently, and a dynamic variant where also moving the finger such that the time depends on the distance moved is supported.

Let n be the size the grammar, and let N be the size of the string. For the static variant we give a linear space representation that supports placing the finger in O(log(N)) time and subsequently accessing in O(log(D)) time, where D is the distance between the finger and the accessed index. For the dynamic variant we give a linear space representation that supports placing the finger in O(log(N)) time and accessing and moving the finger in O(log(D) + log(log(N))) time. Compared to the best linear space solution to random access, we improve a O(log(N)) query bound to O(log(D)) for the static variant and to O(log(D) + log(log(N))) for the dynamic variant, while maintaining linear space. As an application of our results we obtain an improved solution to the longest common extension problem in grammar compressed strings. To obtain our results, we introduce several new techniques of independent interest, including a novel van Emde Boas style decomposition of grammars.

BibTeX - Entry

@InProceedings{bille_et_al:LIPIcs:2016:6871,
  author =	{Philip Bille and Anders Roy Christiansen and Patrick Hagge Cording and Inge Li Gortz},
  title =	{{Finger Search in Grammar-Compressed Strings}},
  booktitle =	{36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016)},
  pages =	{36:1--36:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-027-9},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{65},
  editor =	{Akash Lal and S. Akshay and Saket Saurabh and Sandeep Sen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6871},
  URN =		{urn:nbn:de:0030-drops-68717},
  doi =		{10.4230/LIPIcs.FSTTCS.2016.36},
  annote =	{Keywords: Compression, Grammars, Finger search, Algorithms}
}

Keywords: Compression, Grammars, Finger search, Algorithms
Collection: 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016)
Issue Date: 2016
Date of publication: 10.12.2016

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