Don Sheehy

computational geometry persistent homology mesh generation computational topology rips complex voronoi diagram metric nets nested dissection homology inference topology sampling metric embeddings homological sensor networks persistent johnson-lindenstrauss random projection stereographic projection geometric separators comp delaunay triangulation nerve theorem manifold learning minimax rates local feature size epsilon-nets epsilon-nets computational-geometry mesh-generatio computational-geometry manifold-learning geometric computational-geometry voronoi-diagrams centerpoints approximation algorithms