Light Spanners
Michael Elkin, Ofer Neiman, Shay Solomon

TL;DR
This paper introduces a new analysis of the greedy algorithm to construct light spanners with improved weight bounds, advancing the understanding of sparse graph approximations.
Contribution
It provides a novel analysis of the greedy algorithm to produce light spanners with better weight bounds than previous methods.
Findings
Achieves a $(2k-1)(1+\epsilon)$-stretch spanner with weight close to the MST.
Improves previous bounds by a factor of $O(\log k)$.
Uses a novel analysis technique for the classic greedy algorithm.
Abstract
A -spanner of a weighted undirected graph , is a subgraph such that for all . The sparseness of the spanner can be measured by its size (the number of edges) and weight (the sum of all edge weights), both being important measures of the spanner's quality -- in this work we focus on the latter. Specifically, it is shown that for any parameters and , any weighted graph on vertices admits a -stretch spanner of weight at most , where is the weight of a minimum spanning tree of . Our result is obtained via a novel analysis of the classic greedy algorithm, and improves previous work by a factor of .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Fiber Optic Sensors
