License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.STACS.2021.42
URN: urn:nbn:de:0030-drops-136875
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/13687/
Holm, Jacob ;
Rotenberg, Eva
Good r-Divisions Imply Optimal Amortized Decremental Biconnectivity
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 O(m+n) 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.
BibTeX - Entry
@InProceedings{holm_et_al:LIPIcs.STACS.2021.42,
author = {Holm, Jacob and Rotenberg, Eva},
title = {{Good r-Divisions Imply Optimal Amortized Decremental Biconnectivity}},
booktitle = {38th International Symposium on Theoretical Aspects of Computer Science (STACS 2021)},
pages = {42:1--42:18},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-180-1},
ISSN = {1868-8969},
year = {2021},
volume = {187},
editor = {Bl\"{a}ser, Markus and Monmege, Benjamin},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2021/13687},
URN = {urn:nbn:de:0030-drops-136875},
doi = {10.4230/LIPIcs.STACS.2021.42},
annote = {Keywords: Dynamic graphs, 2-connectivity, graph minors, r-divisions, graph separators}
}
Keywords: |
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Dynamic graphs, 2-connectivity, graph minors, r-divisions, graph separators |
Collection: |
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38th International Symposium on Theoretical Aspects of Computer Science (STACS 2021) |
Issue Date: |
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2021 |
Date of publication: |
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10.03.2021 |