9 citations · 27 across the 10 of their papers we have counts for
8 papers · 1 filter
Improved Time-Space Trade-offs for Computing Voronoi Diagrams
Bahareh Banyassady, Matias Korman, Wolfgang Mulzer +4
Let be a planar set of sites in general position. For , the Voronoi diagram of order for is obtained by subdividing the plane into cells such t…
Routing in Polygonal Domains
Bahareh Banyassady, Man-Kwun Chiu, Matias Korman +7
We consider the problem of routing a data packet through the visibility graph of a polygonal domain with vertices and holes. We may preprocess to obtain a label and…
The Rainbow at the End of the Line --- A PPAD Formulation of the Colorful Carathéodory Theorem with Applications
Frédéric Meunier, Wolfgang Mulzer, Pauline Sarrabezolles +1
Let be point sets in , each containing the origin in its convex hull. A subset of is called a colorful choice (o…
Approximating the Simplicial Depth
Peyman Afshani, Donald R. Sheehy, Yannik Stein
Let be a set of points in -dimensions. The simplicial depth, of a point is the number of -simplices with vertices in that contain in their convex…
Time-Space Trade-offs for Triangulations and Voronoi Diagrams
Matias Korman, Wolfgang Mulzer, Andre van Renssen +3
Let be a planar -point set. A triangulation for is a maximal plane straight-line graph with vertex set . The Voronoi diagram for is the subdivision of the plane i…
Computational Aspects of the Colorful Carathéodory Theorem
Wolfgang Mulzer, Yannik Stein
Let be point sets, each containing the origin in its convex hull. We call these sets color classes, and we call a sequence $p_1, \dots…
Approximate k-flat Nearest Neighbor Search
Wolfgang Mulzer, Huy L. Nguyen, Paul Seiferth +1
Let be a nonnegative integer. In the approximate -flat nearest neighbor (-ANN) problem, we are given a set of points in -dimensional space…
Algorithms for Tolerant Tverberg Partitions
Wolfgang Mulzer, Yannik Stein
Let be a -dimensional -point set. A partition of is called a Tverberg partition if the convex hulls of all sets in intersect in at least one point. We say …