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Fully Dynamic Connectivity in O(Log n(log log n)2) Amortized Expected Time

  • University of Michigan, Ann Arbor
  • University of Copenhagen

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Dynamic connectivity is one of the most fundamental problems in dynamic graph algorithms. We present a randomized Las Vegas dynamic connectivity data structure with O(log n(log log n)2) amortized expected update time and O (log n/log log log n) worst case query time, which comes very close to the cell probe lower bounds of Patrascu and Demaine (2006) and Patrascu and Thorup (2011).

Original languageEnglish
Article number6
JournalTheoretiCS
Volume2
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 2023, TheoretiCS Foundation. All rights reserved.

Keywords

  • Amortized analysis
  • Connectivity
  • Dynamic graph

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