Multidimensional range selection

Timothy M. Chan, Gelin Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We study the problem of supporting (orthogonal) range selection queries over a set of n points in constant-dimensional space. Under the standard word-RAM model with word size w = Ω(lg n), we present data structures that occupy O(n · (lg n/ lg lg n)d−1) words of space and support d-dimensional range selection queries using O((lg n/ lg lg n)d) query time. This improves the best known data structure by a factor of lg lg n in query time. To develop our data structures, we generalize the “parallel counting” technique of Brodal, Gfeller, Jørgensen, and Sanders (2011) for one-dimensional range selection to higher dimensions. As a byproduct, we design data structures to support d-dimensional range counting queries within O(n · (lg n/ lg w + 1)d−2) words of space and O((lg n/ lg w + 1)d−1) query time, for any word size w = Ω(lg n). This improves the best known result of JaJa, Mortensen, and Shi (2004) when lg w ≫ lg lg n.

Original languageEnglish (US)
Title of host publicationAlgorithms and Computation - 26th International Symposium, ISAAC 2015, Proceedings
EditorsKhaled Elbassioni, Kazuhisa Makino
PublisherSpringer
Pages83-92
Number of pages10
ISBN (Print)9783662489703
DOIs
StatePublished - 2015
Externally publishedYes
Event26th International Symposium on Algorithms and Computation, ISAAC 2015 - Nagoya, Japan
Duration: Dec 9 2015Dec 11 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9472
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other26th International Symposium on Algorithms and Computation, ISAAC 2015
Country/TerritoryJapan
CityNagoya
Period12/9/1512/11/15

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Multidimensional range selection'. Together they form a unique fingerprint.

Cite this