Space-constrained interval selection

Yuval Emek, Magnús M. Halldórsson, Adi Rosén

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We study streaming algorithms for the interval selection problem: finding a maximum cardinality subset of disjoint intervals on the line. A deterministic 2-approximation streaming algorithm for this problem is developed, together with an algorithm for the special case of proper intervals, achieving improved approximation ratio of 3/2. We complement these upper bounds by proving that they are essentially best possible in the streaming setting: it is shown that an approximation ratio of 2 - ε (or 3 / 2 - ε for proper intervals) cannot be achieved unless the space is linear in the input size. In passing, we also answer an open question of Adler and Azar [1] regarding the space complexity of constant-competitive randomized preemptive online algorithms for the same problem.

Original languageEnglish
Title of host publicationAutomata, Languages, and Programming - 39th International Colloquium, ICALP 2012, Proceedings
Pages302-313
Number of pages12
EditionPART 1
DOIs
StatePublished - 2012
Externally publishedYes
Event39th International Colloquium on Automata, Languages, and Programming, ICALP 2012 - Warwick, United Kingdom
Duration: 9 Jul 201213 Jul 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7391 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference39th International Colloquium on Automata, Languages, and Programming, ICALP 2012
Country/TerritoryUnited Kingdom
CityWarwick
Period9/07/1213/07/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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