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A time-optimal delaunay refinement algorithm in two dimensions

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TLDR
In this paper, a new refinement algorithm was proposed to generate size-optimal quality-guaranteed Delaunay triangulations in the plane in O(n log n + m) time.
Abstract
We propose a new refinement algorithm to generate size-optimal quality-guaranteed Delaunay triangulations in the plane. The algorithm takes O(n log n + m) time, where n is the input size and m is the output size. This is the first time-optimal Delaunay refinement algorithm.

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Book

Geometric Approximation Algorithms

TL;DR: This book is the first to cover geometric approximation algorithms in detail, and topics covered include approximate nearest-neighbor search, shape approximation, coresets, dimension reduction, and embeddings.
Book ChapterDOI

A Practical Delaunay Meshing Algorithm for aLarge Class of Domains

TL;DR: A Delaunay refinement algorithm has been proposed that can mesh domains as general as piecewise smooth complexes and has a provable guarantee about topology, but certain steps are too expensive to make it practical.
Book ChapterDOI

Sparse Voronoi Refinement

TL;DR: A new algorithm is presented, Sparse Voronoi Refinement, that produces a conformal Delaunay mesh in arbitrary dimension with guaranteed mesh size and quality with full proofs at IMR 2006.
Journal ArticleDOI

Off-centers: A new type of Steiner points for computing size-optimal quality-guaranteed Delaunay triangulations

TL;DR: In this paper, a new type of Steiner points, called off-centers, is introduced to improve the quality of Delaunay triangulations in two dimensions, and a new algorithm based on iterative insertion of offcenters is proposed.
Journal ArticleDOI

Efficient and good Delaunay meshes from random points

TL;DR: A Conforming Delaunay Triangulation (CDT) algorithm based on maximal Poisson disk sampling that works well in practice, and has the blue-noise property, and is also fast and uses little memory.
References
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Journal ArticleDOI

Constrained delaunay triangulations

TL;DR: It is shown that the constrained Delaunay triangulation (CDT) can be built in optimalO(n logn) time using a divide-and-conquer technique and has a number of properties that make them useful for the finite-element method.
Book

Geometry and Topology for Mesh Generation

TL;DR: 1. Delaunay triangulations 2. Triangle meshes 3. Combinatorial topology 4. Surface simplification 5.Delaunay tetrahedrizations 6. Tetrahedron meshes 7. Open problems.
Journal ArticleDOI

Provably good mesh generation

TL;DR: It is shown how to triangulate a planar point set or a polygonally bounded domain with triangles of bounded aspect ratio, and how to produce a linear-size Delaunay triangulation of a multidimensional point set by adding a linear number of extra points.

Delaunay refinement mesh generation

TL;DR: This thesis aims to further this progress by cementing the foundations of two-dimensional Delaunay refinement, and by extending the technique and its analysis to three dimensions.