English

Fully Dynamic Connectivity in $O(\log n(\log\log n)^2)$ Amortized Expected Time

Data Structures and Algorithms 2024-02-14 v4

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(logn(loglogn)2)O(\log n(\log\log n)^2) amortized expected update time and O(logn/logloglogn)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).

Keywords

Cite

@article{arxiv.1609.05867,
  title  = {Fully Dynamic Connectivity in $O(\log n(\log\log n)^2)$ Amortized Expected Time},
  author = {Shang-En Huang and Dawei Huang and Tsvi Kopelowitz and Seth Pettie and Mikkel Thorup},
  journal= {arXiv preprint arXiv:1609.05867},
  year   = {2024}
}
R2 v1 2026-06-22T15:54:33.399Z