Worst-Case Polylog Incremental SPQR-trees: Embeddings, Planarity, and Triconnectivity
October 20, 2019 Β· Declared Dead Β· π ACM-SIAM Symposium on Discrete Algorithms
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Authors
Jacob Holm, Eva Rotenberg
arXiv ID
1910.09005
Category
cs.DS: Data Structures & Algorithms
Citations
14
Venue
ACM-SIAM Symposium on Discrete Algorithms
Last Checked
3 months ago
Abstract
We show that every labelled planar graph $G$ can be assigned a canonical embedding $Ο(G)$, such that for any planar $G'$ that differs from $G$ by the insertion or deletion of one edge, the number of local changes to the combinatorial embedding needed to get from $Ο(G)$ to $Ο(G')$ is $O(\log n)$. In contrast, there exist embedded graphs where $Ξ©(n)$ changes are necessary to accommodate one inserted edge. We provide a matching lower bound of $Ξ©(\log n)$ local changes, and although our upper bound is worst-case, our lower bound hold in the amortized case as well. Our proof is based on BC trees and SPQR trees, and we develop \emph{pre-split} variants of these for general graphs, based on a novel biased heavy-path decomposition, where the structural changes corresponding to edge insertions and deletions in the underlying graph consist of at most $O(\log n)$ basic operations of a particularly simple form. As a secondary result, we show how to maintain the pre-split trees under edge insertions in the underlying graph deterministically in worst case $O(\log^3 n)$ time. Using this, we obtain deterministic data structures for incremental planarity testing, incremental planar embedding, and incremental triconnectivity, that each have worst case $O(\log^3 n)$ update and query time, answering an open question by La PoutrΓ© and Westbrook from 1998.
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