Random Delaunay triangulations, the Thurston-Andreev theorem, and metric uniformization
Gregory Leibon

TL;DR
This thesis establishes a link between discrete and continuous conformal geometry by proving a disk pattern theorem and introducing an energy functional to measure metric uniformity on Riemannian surfaces.
Contribution
It introduces a novel energy functional based on triangulation angle data and applies it to average over Delaunay triangulations for metric uniformization.
Findings
Proved a disk pattern production theorem using an angle-based energy.
Defined an energy measuring metric uniformity on Riemannian surfaces.
Connected discrete triangulation properties with continuous conformal geometry.
Abstract
In this thesis a connection between the worlds of discrete and continuous conformal geometry is explored. Specifically, a disk pattern production theroem is proved using an energy which measures how ``uniform'' the angle data of a triangulation is, see also math.DG/0002150. Then this energy is averaged over all the Delaunay triangulation of a Riemannian surface to form an energy measuring how ``uniform'' a metric is, see also math.DG/0010316.
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Point processes and geometric inequalities · Geometric Analysis and Curvature Flows
