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).
TWC: Small: Collaborative: Cost-Competitve Analysis - A New Tool for Designing Secure Systems; Funder: National Science Foundation; Code: 1318294
AF: Medium: Collaborative Research: Hardness in Polynomial Time; Funder: National Science Foundation; Code: 1514383
AF:Small:Data Structures for Dynamic Networks; Funder: National Science Foundation; Code: 1217338
Bibliographic References
1 Document citing this article
Danupon Nanongkai;Thatchaphol Saranurak, Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, Dynamic spanning forest with worst-case update time: adaptive, Las Vegas, and O(n1/2 - ε)-time, pp. 1122-1129, 2017, Montreal Canada, 10.1145/3055399.3055447.