Worst-case deterministic fully-dynamic biconnectivity in changeable planar embeddings

We study dynamic planar graphs with $n$ vertices, subject to edge deletion, edge contraction, edge insertion across a face, and the splitting of a vertex in specified corners. We dynamically maintain a combinatorial embedding of such a planar graph, subject to connectivity and 2-vertex-connectivity (biconnectivity) queries between pairs of vertices. Whenever a query pair is connected and not biconnected, we find the first and last cut vertex separating them. Additionally, we allow local changes to the embedding by flipping the embedding of a subgraph that is connected by at most two vertices to the rest of the graph. We support all queries and updates in deterministic, worst-case, $O(\log^2 n)$ time, using an $O(n)$-sized data structure.

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Publication Details

Journal
Journal of Computational Geometry (Carleton University)
Published
2024-12-20
DOI
https://doi.org/10.20382/jocg.v15i2a7
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00

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article

Worst-case deterministic fully-dynamic biconnectivity in changeable planar embeddings

Journal of Computational Geometry (Carleton University)
Computational Geometry and Mesh Generation
article

Worst-case deterministic fully-dynamic biconnectivity in changeable planar embeddings

article en

Abstract

We study dynamic planar graphs with $n$ vertices, subject to edge deletion, edge contraction, edge insertion across a face, and the splitting of a vertex in specified corners. We dynamically maintain a combinatorial embedding of such a planar graph, subject to connectivity and 2-vertex-connectivity (biconnectivity) queries between pairs of vertices. Whenever a query pair is connected and not biconnected, we find the first and last cut vertex separating them. Additionally, we allow local changes to the embedding by flipping the embedding of a subgraph that is connected by at most two vertices to the rest of the graph. We support all queries and updates in deterministic, worst-case, $O(\log^2 n)$ time, using an $O(n)$-sized data structure.

Journal of Computational Geometry (Carleton University)
University of Copenhagen (DK), Technical University of Denmark (DK)
European Commission
Openalex Percentile: Top 36%
Computational Geometry and Mesh Generation
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