Abstract
We present a data structure that, given a graph G of n vertices and m edges, and a suitable pair of nested r-divisions of G, preprocesses G in
time and handles any series of edge-deletions in O(m) total time while answering queries to pairwise biconnectivity in worst-case O(1) time. In case the vertices are not biconnected, the data structure can return a cutvertex separating them in worst-case O(1) time. As an immediate consequence, this gives optimal amortized decremental biconnectivity, 2-edge connectivity, and connectivity for large classes of graphs, including planar graphs and other minor free graphs.
time and handles any series of edge-deletions in O(m) total time while answering queries to pairwise biconnectivity in worst-case O(1) time. In case the vertices are not biconnected, the data structure can return a cutvertex separating them in worst-case O(1) time. As an immediate consequence, this gives optimal amortized decremental biconnectivity, 2-edge connectivity, and connectivity for large classes of graphs, including planar graphs and other minor free graphs.
| Original language | English |
|---|---|
| Journal | Theory Comput. Syst. |
| Volume | 68 |
| Issue number | 4 |
| Pages (from-to) | 1014-1048 |
| DOIs | |
| Publication status | Published - 27 Jun 2024 |
| Externally published | Yes |
Keywords
- Dynamic graphs
- 2-connectivity
- Graph minors
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Dive into the research topics of 'Good r-divisions Imply Optimal Amortized Decremental Biconnectivity.'. Together they form a unique fingerprint.Projects
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ERCP: Efficient Recomputation for Changeful Problems
Rotenberg, E. (PI), Berg, S. D. (Collaborator) & Hoog, I. V. D. (Collaborator)
01/07/2021 → 30/06/2026
Project: Research
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