Constructing Light Spanners Deterministically in Near-Linear Time
Stephen Alstrup, S{\o}ren Dahlgaard, Arnold Filtser, Morten St\"ockel,, Christian Wulff-Nilsen

TL;DR
This paper presents deterministic algorithms for constructing light graph spanners efficiently, achieving near-optimal bounds and significantly improving the dependence on parameters like stretch factor and graph size.
Contribution
The paper introduces new deterministic, near-linear time algorithms for constructing light spanners with bounds comparable to the best randomized methods.
Findings
Achieves near-optimal light spanners in near-linear time.
Provides a sub-quadratic construction for $k=\log n$ with constant lightness.
Introduces a novel deterministic incremental approximate distance oracle.
Abstract
Graph spanners are well-studied and widely used both in theory and practice. In a recent breakthrough, Chechik and Wulff-Nilsen [CW18] improved the state-of-the-art for light spanners by constructing a -spanner with edges and lightness. Soon after, Filtser and Solomon [FS19] showed that the classic greedy spanner construction achieves the same bounds The major drawback of the greedy spanner is its running time of (which is faster than [CW16]). This makes the construction impractical even for graphs of moderate size. Much faster spanner constructions do exist but they only achieve lightness , even when randomization is used. The contribution of this paper is deterministic spanner constructions that are fast, and achieve similar bounds as the state-of-the-art slower constructions. Our first…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Advanced Graph Theory Research · Advanced biosensing and bioanalysis techniques
