Finding 4-Additive Spanners: Faster, Stronger, and Simpler
Chuhan Qi

TL;DR
This paper introduces a faster, deterministic algorithm for constructing 4-additive spanners in graphs, matching the best known size bounds while improving efficiency and simplicity over previous randomized methods.
Contribution
It presents a new deterministic algorithm for 4-additive spanners that improves running time and simplicity while maintaining optimal size bounds.
Findings
Matches the best known edge bound of n^{7/5} with polylog factors
Improves running time to (mn^{3/5}, n^{11/5})
Provides a fully deterministic and simpler construction method
Abstract
Additive spanners are fundamental graph structures with wide applications in network design, graph sparsification, and distance approximation. In particular, a -additive spanner is a subgraph that preserves all pairwise distances up to an additive error of . In this paper, we present a new deterministic algorithm for constructing -additive spanners that matches the best known edge bound of (up to polylogarithmic factors), while improving the running time to , compared to the previous randomized construction. Our algorithm is not only faster in the dense regime but also fully deterministic, conceptually simpler, and easier to implement and analyze.
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
TopicsComplexity and Algorithms in Graphs · Stochastic Gradient Optimization Techniques · Advanced Graph Theory Research
