Constant girth approximation for directed graphs in subquadratic time
Shiri Chechik, Yang P. Liu, Omer Rotem, Aaron Sidford
Abstract
In this paper we provide a Õ(m √ n) time algorithm that computes a 3-multiplicative approximation of the girth of a n-node m-edge directed graph with non-negative edge lengths. This is the first algorithm which approximates the girth of a directed graph up to a constant multiplicative factor faster than All-Pairs Shortest Paths (APSP) time, i.e. O(mn). Additionally, for any integer k ≥ 1, we provide a deterministic algorithm for a O(k log log n)-multiplicative approximation to the girth in directed graphs in Õ(m 1+1/k ) time. Combining the techniques from these two results gives us an algorithm for a O(k log k)-multiplicative approximation to the girth in directed graphs in Õ(m 1+1/k ) time. Our results naturally also provide algorithms for improved constructions of roundtrip spanners, the analog of spanners in directed graphs. The previous fastest algorithms for these problems either ran in All-Pairs Shortest Paths (APSP) time, i.e. O(mn), or were due Pachocki et al. [PRS + 18] which provided a randomized algorithm that for any integer k ≥ 1 in time Õ(m 1+1/k ) computed with high probability a O(k log n) multiplicative approximation of the girth. Our first algorithm constitutes the first sub-APSP-time algorithm for approximating the girth to constant accuracy, our second removes the need for randomness and improves the approximation factor in Pachocki et al. [PRS + 18], and our third is the first time versus quality trade-off for obtaining constant approximations.
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- Hardness of approximation in p via short cycle removal: cycle detection, distance oracles, and beyondAmir Abboud, Karl Bringmann, Seri Khoury, Or ZamirSTOC 2022 · 11 citations
- (α, β)-Spanners and Hybrid Spanners with Nearly Tight BoundsShiri Chechik, Gur LifshitzSODA 2026 · 2 citations
- Improved Roundtrip Spanners, Emulators, and Directed Girth ApproximationAlina Harbuzova, Ce Jin, Virginia Vassilevska Williams, Zixuan XuSODA 2024
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