Given an undirected weighted graph $G$, a $\gamma$-approximate low-stretch spanning tree (LSST) $T \subseteq G$ is a tree that approximates the distance metric of $G$ up to a $\gamma$-factor in expectation. Currently, existing algorithms to find a provably good LSST carefully construct an approximate shortest-path tree...
Ioannis Dorkofikis, Bernhard Haeupler, Maximilian Probst Gutenberg et al.· 0 citations
The original online leverage-score sampling algorithm is indeed robust to adaptive adversaries and is given the first online sparsification algorithm for adaptive streams that yields a sparsifier of near-optimal size $O(d \varepsilon^{-2}\log^2 d)$ whose working memory is proportional to the size of the sparsifier.
Gramoz Goranci, Rasmus Kyng, Maximilian Probst Gutenberg et al.· arXiv.org· 1 citation
A randomized data structure for undirected weighted graphs that are partially dynamic, i.e., that undergo either only edge insertions or only edge deletions is given, which follows from a simple stability principle for partially dynamic graphs.
Gramoz Goranci, Rasmus Kyng, Maximilian Probst Gutenberg et al.· 0 citations
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