A bound on a convexity measure for point sets
Computational Geometry
2014-09-16 v1 Combinatorics
Abstract
A planar point set is in convex position precisely when it has a convex polygonization, that is, a polygonization with maximum interior angle measure at most \pi. We can thus talk about the convexity of a set of points in terms of the minimum, taken over all polygonizations, of the maximum interior angle. The main result presented here is a nontrivial combinatorial upper bound of this min-max value in terms of the number of points in the set. Motivated by a particular construction, we also pose a natural conjecture for the best upper bound.
Cite
@article{arxiv.1409.4344,
title = {A bound on a convexity measure for point sets},
author = {Danny Rorabaugh},
journal= {arXiv preprint arXiv:1409.4344},
year = {2014}
}
Comments
6 pages