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Near-tight Bounds for Computing the Fr\'echet Distance in d-Dimensional Grid Graphs and the Implications for {\lambda}-low Dense Curves

Eva Rotenberg, Frederikke Uldahl, Ivor van der Hoog, Jacobus Conradi

Fréchet distance between n-vertex paths in d-dimensional grids can be (1+ε)-approximated in Õ((n/ε)^{2-2/d} + n) time.

arxiv:2604.24135 v1 · 2026-04-27 · cs.CG · cs.DS

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Claims

C1strongest claim

We give an algorithm, that for two simple paths on n vertices, (1+ε)-approximates the Fréchet distance in time Õ((n/ε)^{2-2/d} +n). We complement this by a near-matching fine-grained lower bound: for constant dimensions d ≥ 3, there is no O((ε^{2/d}(n/ε)^{2-2/d})^{1-δ}) algorithm for any δ>0 unless the Orthogonal Vector Hypothesis fails.

C2weakest assumption

The Orthogonal Vector Hypothesis must hold for the conditional lower bound to apply; the curves must be simple paths on the grid graph.

C3one line summary

Near-tight (1+ε)-approximation algorithms and OVH-based lower bounds are given for Fréchet distance on d-dimensional grid graphs, with tightness results for λ-low dense curves.

References

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[1] Subtrajectory clustering: Models and algorithms.ACM SIGMOD-SIGACT- SIGAI Symposium on Principles of Database Systems (PODS), pages 75–87, 2018.doi: 10.1145/3196959.3196972 2018 · doi:10.1145/3196959.3196972
[2] 5 Alessandro Bombelli, Lluis Soler, Eric Trumbauer, and Kenneth D Mease 2017 · doi:10.2514/1.g002308
[3] 11 Kevin Buchin, Maike Buchin, Joachim Gudmundsson, Maarten Löffler, and Jun Luo 2011 · doi:10.1145/3423334.3431451
[4] pages 58-74. J. Conradi, I. van der Hoog, F. Uldahl, E. Rotenberg 15 19 Mark de Berg, Marcel Roeloffzen, and Bettina Speckmann. Kinetic compressed quadtrees in the black-box model with applications to 2012 · doi:10.1007/978-3-642-33090-2_34
[5] 21 Anne Driemel, Amer Krivošija, and Christian Sohler 2016 · doi:10.1007/s00454-012-9402-z
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133c045bc8b43c5037402a0a0fb473b66387288873c47ec957ee82f0532d0c3f

Aliases

arxiv: 2604.24135 · arxiv_version: 2604.24135v1 · doi: 10.48550/arxiv.2604.24135 · pith_short_12: CM6AIW6IWQ6F · pith_short_16: CM6AIW6IWQ6FAN2A · pith_short_8: CM6AIW6I
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Canonical record JSON
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