Lune

STOC2025Top-tier venue

Constant Approximation of Fréchet Distance in Strongly Subquadratic Time

Siu-Wing Cheng, Haoqiang Huang, Shuo Zhang

2025Year
1Citations
1Top-tier citations

Abstract

Let τ and σ be two polygonal curves in →., <sup>d</sup> for any fixed d. Suppose that τ and σ have n and m vertices, respectively, and m≤ n. While conditional lower bounds prevent approximating the Fréchet distance between τ and σ within a factor of 3 in strongly subquadratic time, the current best approximation algorithm attains a ratio of n<sup>c</sup> in strongly subquadratic time, for some constant cϵ(0,1). We present a randomized algorithm with running time O(nm<sup>0.99</sup>log(n/ϵ)) that approximates the Fréchet distance within a factor of 7+ϵ, with a success probability at least 1-1/n<sup>6</sup>. We also adapt our techniques to develop a randomized algorithm that approximates the discrete Fréchet distance within a factor of 7+ϵ in strongly subquadratic time. They are the first algorithms to approximate the Fréchet distance and the discrete Fréchet distance within constant factors in strongly subquadratic time.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

Cited by top-tier papers1

Ask how each one uses it

Builds on4

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines