AbstractIn this paper, we provide proofs of termination and size-optimality of the LEPP-Delaunay algorithm, for the quality generation of triangulations. We first prove that the algorithm cannot insert points arbitrarily close to each other. We also show that the algorithm terminates, producing well-graded triangulations with internal angles greater than 25.66 degrees for geometries with input constrained angles of at least 30 degrees
AbstractWe introduce a new type of Steiner points, called off-centers, as an alternative to circumce...
Mesh generation by Delaunay refinement is a widely used technique for constructing guaranteed qualit...
Mesh generation by Delaunay refinement is a widely used technique for constructing guaranteed qualit...
AbstractIn this paper, we provide proofs of termination and size-optimality of the LEPP-Delaunay alg...
Two Lepp algorithms for quality Delaunay triangulation are discussed. Firstly a terminal triangles c...
AbstractWe introduce a new type of Steiner points, called off-centers, as an alternative to circumce...
AbstractThis paper discusses optimization of quality measures over first order Delaunay triangulatio...
We introduce a new Lepp-Delaunay algorithm for quality triangulation. For every bad triangle t with...
We present two new Delaunay refinement algorithms, second an extension of the first. For a given inp...
We discuss Lepp-centroid versus Lepp-midpoint algorithms for Delaunay quality triangulation. We pre...
We discuss Lepp-centroid versus Lepp-midpoint algorithms for Delaunay quality triangulation. We pre...
AbstractThis paper discusses optimization of quality measures over first order Delaunay triangulatio...
AbstractHigher order Delaunay triangulations are a generalization of the Delaunay triangulation that...
Abstract. This paper discusses optimization of quality measures over first order Delaunay triangulat...
Ruppert’s algorithm [6] is an elegant method for generating size-competitive meshes, but admits a po...
AbstractWe introduce a new type of Steiner points, called off-centers, as an alternative to circumce...
Mesh generation by Delaunay refinement is a widely used technique for constructing guaranteed qualit...
Mesh generation by Delaunay refinement is a widely used technique for constructing guaranteed qualit...
AbstractIn this paper, we provide proofs of termination and size-optimality of the LEPP-Delaunay alg...
Two Lepp algorithms for quality Delaunay triangulation are discussed. Firstly a terminal triangles c...
AbstractWe introduce a new type of Steiner points, called off-centers, as an alternative to circumce...
AbstractThis paper discusses optimization of quality measures over first order Delaunay triangulatio...
We introduce a new Lepp-Delaunay algorithm for quality triangulation. For every bad triangle t with...
We present two new Delaunay refinement algorithms, second an extension of the first. For a given inp...
We discuss Lepp-centroid versus Lepp-midpoint algorithms for Delaunay quality triangulation. We pre...
We discuss Lepp-centroid versus Lepp-midpoint algorithms for Delaunay quality triangulation. We pre...
AbstractThis paper discusses optimization of quality measures over first order Delaunay triangulatio...
AbstractHigher order Delaunay triangulations are a generalization of the Delaunay triangulation that...
Abstract. This paper discusses optimization of quality measures over first order Delaunay triangulat...
Ruppert’s algorithm [6] is an elegant method for generating size-competitive meshes, but admits a po...
AbstractWe introduce a new type of Steiner points, called off-centers, as an alternative to circumce...
Mesh generation by Delaunay refinement is a widely used technique for constructing guaranteed qualit...
Mesh generation by Delaunay refinement is a widely used technique for constructing guaranteed qualit...