Online Directed Spanners and Steiner Forests
Elena Grigorescu, Young-San Lin, and Kent Quanrud

TL;DR
This paper introduces the first online algorithms for directed spanners and Steiner forests, achieving competitive ratios close to offline approximations using primal-dual online covering LP techniques.
Contribution
It develops novel online algorithms for directed spanners and Steiner forests, utilizing primal-dual covering LP frameworks, with improved competitive ratios over previous online methods.
Findings
First online algorithms for directed spanners.
Competitive ratios close to offline approximations.
Effective primal-dual online covering LP approach.
Abstract
We present online algorithms for directed spanners and Steiner forests. These problems fall under the unifying framework of online covering linear programming formulations, developed by Buchbinder and Naor (MOR, 34, 2009), based on primal-dual techniques. Our results include the following: For the pairwise spanner problem, in which the pairs of vertices to be spanned arrive online, we present an efficient randomized -competitive algorithm for graphs with general lengths, where is the number of vertices. With uniform lengths, we give an efficient randomized -competitive algorithm, and an efficient deterministic -competitive algorithm, where is the number of terminal pairs. These are the first online algorithms for directed spanners. In the offline setting, the current best approximation ratio with…
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.
