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When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.CPM.2017.30
URN: urn:nbn:de:0030-drops-73244
URL: http://drops.dagstuhl.de/opus/volltexte/2017/7324/
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Pibiri, Giulio Ermanno ; Venturini, Rossano

Dynamic Elias-Fano Representation

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LIPIcs-CPM-2017-30.pdf (0.5 MB)


Abstract

We show that it is possible to store a dynamic ordered set S of n integers drawn from a bounded universe of size u in space close to the information-theoretic lower bound and preserve, at the same time, the asymptotic time optimality of the operations. Our results leverage on the Elias-Fano representation of monotone integer sequences, which can be shown to be less than half a bit per element away from the information-theoretic minimum. In particular, considering a RAM model with memory word size Theta(log u) bits, when integers are drawn from a polynomial universe of size u = n^gamma for any gamma = Theta(1), we add o(n) bits to the static Elias-Fano representation in order to: 1. support static predecessor/successor queries in O(min{1+log(u/n), loglog n}); 2. make S grow in an append-only fashion by spending O(1) per inserted element; 3. describe a dynamic data structure supporting random access in O(log n / loglog n) worst-case, insertions/deletions in O(log n / loglog n) amortized and predecessor/successor queries in O(min{1+log(u/n), loglog n}) worst-case time. These time bounds are optimal.

BibTeX - Entry

@InProceedings{pibiri_et_al:LIPIcs:2017:7324,
  author =	{Giulio Ermanno Pibiri and Rossano Venturini},
  title =	{{Dynamic Elias-Fano Representation}},
  booktitle =	{28th Annual Symposium on Combinatorial Pattern Matching (CPM 2017)},
  pages =	{30:1--30:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-039-2},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{78},
  editor =	{Juha K{\"a}rkk{\"a}inen and Jakub Radoszewski and Wojciech Rytter},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7324},
  URN =		{urn:nbn:de:0030-drops-73244},
  doi =		{10.4230/LIPIcs.CPM.2017.30},
  annote =	{Keywords: succinct data structures, integer sets, predecessor problem, Elias-Fano}
}

Keywords: succinct data structures, integer sets, predecessor problem, Elias-Fano
Seminar: 28th Annual Symposium on Combinatorial Pattern Matching (CPM 2017)
Issue Date: 2017
Date of publication: 28.06.2017


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