Constant Approximation of Fréchet Distance in Strongly Subquadratic Time
Siu-Wing Cheng, Haoqiang Huang, Shuo Zhang
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.
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- Solving Fréchet Distance Problems by Algebraic Geometric MethodsSiu-Wing Cheng, Haoqiang HuangSODA 2024 · 4 citations
- Curve Simplification and Clustering under Fréchet DistanceSiu-Wing Cheng, Haoqiang HuangSODA 2023 · 3 citations
- Fréchet Distance in Subquadratic TimeSiu-Wing Cheng, Haoqiang HuangSODA 2025 · 2 citations
- A Subquadratic nε-approximation for the Continuous Fréchet DistanceThijs van der Horst, Marc J. van Kreveld, Tim Ophelders, Bettina SpeckmannSODA 2023 · 1 citation
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