35 research outputs found
Geometric Algorithms for Minimal Enclosing Disks in Strictly Convex Normed Planes
With the geometric background provided by Alonso, Martini, and Spirovaon the location of circumcenters of triangles in normed planes, we show the validity of the Elzinga--Hearn algorithm and the Shamos--Hoey algorithm for solving the minimal enclosing disk problem in strictly convex normed planes
A Sweepline Algorithm for Generalized Delaunay Triangulations
We give a deterministic O(n log n) sweepline algorithm to construct the generalized Voronoi diagram for n points in the plane or rather its dual the generalized Delaunay triangulation. The algorithm uses no transformations and it is developed solely from the sweepline paradigm together with greediness. A generalized Delaunay triangulation can be based on an arbitrary strictly convex Minkowski distance function (including all L_p distance functions 1 < p < *) in contrast to ordinary Delaunay triangualations which are based on the Euclidean distance function
Density of Range Capturing Hypergraphs
For a finite set of points in the plane, a set in the plane, and a
positive integer , we say that a -element subset of is captured
by if there is a homothetic copy of such that ,
i.e., contains exactly elements from . A -uniform -capturing
hypergraph has a vertex set and a hyperedge set consisting
of all -element subsets of captured by . In case when and
is convex these graphs are planar graphs, known as convex distance function
Delaunay graphs.
In this paper we prove that for any , any , and any convex
compact set , the number of hyperedges in is at most , where is the number of -element
subsets of that can be separated from the rest of with a straight line.
In particular, this bound is independent of and indeed the bound is tight
for all "round" sets and point sets in general position with respect to
.
This refines a general result of Buzaglo, Pinchasi and Rote stating that
every pseudodisc topological hypergraph with vertex set has
hyperedges of size or less.Comment: new version with a tight result and shorter proo