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20222026
most citedFinding Complex Patterns in Trajectory Data via Geometric Set Cover

1 citations · 2 across the 15 of their papers we have counts for

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cs.CG2026

Simulated Annealing for Antenna Placements

Mikkel Abrahamsen, Jacobus Conradi, Asbjørn Lind

The 2026 ACM SIGSPATIAL GIS Cup posed the following geometric challenge: Given a set of simple, pair-wise disjoint polygons, compute antennas (points) on polygon boundaries, ma…

cs.CG2026

A Sublinear Approximation Algorithm for Minimum Dilation Trees in the Plane

Sarita de Berg, Jacobus Conradi, Peter Kramer +2

The dilation of a geometric graph measures how much longer the path between pairs of points becomes when restricted to graph edges, rather than following the direct path through th…

cs.CG2026

Computing All Optimal Partial -Wasserstein Matchings on the Line

Sebastian Angrick, Jacobus Conradi, Mónika Csikós +5

For , the -Wasserstein distance measures the minimum cost of transporting probability mass between distributions, where moving unit mass between two points costs the $p…

cs.CG2026

Computing Planar Convex Hulls with a Promise

Sepideh Aghamolaei, Kevin Buchin, Timothy M. Chan +5

Computing the convex hull of a planar -point set is one of the most fundamental problems in computational geometry. It has an lower bound in the algebraic comp…

cs.CG2026

Tight Fréchet bounds for -low density curves

Jacobus Conradi, Ivor van der Hoog, Frederikke Uldahl +1

The Fréchet distance is a well-studied similarity measure between curves. We computing the Fréchet distance between -low-density curves, the most general of realistic curve assu…

cs.CG2026

On Small Pair Decompositions for Point Sets

Kevin Buchin, Jacobus Conradi, Sariel Har-Peled +5

$\newcommand{\Re}{\mathbb{R}}$We study the minWSPD problem of computing the minimum-size well-separated pairs decomposition of a set of points, and show constant approximation algo…