Towards Instance-Optimal Euclidean Spanners
Hung Le, Shay Solomon, Cuong Than, Csaba D. T\'oth, Tianyi Zhang

TL;DR
This paper studies Euclidean spanners, showing the greedy approach is far from optimal and introducing a new construction that achieves near-optimal sparsity and lightness with minimal stretch increase, depending only on a log-star factor.
Contribution
It demonstrates the limitations of greedy spanners and presents a novel construction that attains instance optimality in Euclidean spanners with minimal stretch increase.
Findings
Greedy spanners are significantly suboptimal for certain point sets.
New spanner construction achieves near-instance optimal bounds for sparsity and lightness.
Stretch increase is only logarithmic in the iterated logarithm of dimension, independent of dimension itself.
Abstract
Euclidean spanners are important geometric objects that have been extensively studied since the 1980s. The two most basic "compactness'' measures of a Euclidean spanner are the size (number of edges) and the weight (sum of edge weights) . In this paper, we initiate the study of instance optimal Euclidean spanners. Our results are two-fold. We demonstrate that the greedy spanner is far from being instance optimal, even when allowing its stretch to grow. More concretely, we design two hard instances of point sets in the plane, where the greedy -spanner (for basically any parameter ) has edges and weight , where and denote the per-instance sparsest and lightest -spanners, respectively, and the…
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 Numerical Analysis Techniques · Computational Geometry and Mesh Generation
