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A Fast Robust Algorithm for Computing Discrete Voronoi Diagrams

机译:一种计算离散Voronoi图的快速鲁棒算法

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We describe an algorithm for the construction of discretized Voronoi diagrams on a CPU within the context of a large scale numerical fluid simulation.The Discrete Voronoi Chain (DVC) algorithm is fast, flexible and robust. Thealgorithm stores the Voronoi diagram on a grid or lattice that may be structuredor unstructured. The Voronoi diagram is computed by alternatively updating twolists of grid cells per particle to propagate a growth boundary of cells from theparticle locations. Distance tests only occur when growth boundaries from differentparticles collide with each other, hence the number of distance tests is effectivelyminimized. We give some empirical results for two and three dimensions. Themethod generalizes to any dimension in a straight forward manner. The distancetests can be based any metric.
机译:我们描述了一种在大规模数值流体模拟的背景下在CPU上构造离散Voronoi图的算法。离散Voronoi链(DVC)算法快速,灵活且健壮。算法将Voronoi图存储在可以结构化或非结构化的网格上。通过交替更新每个粒子的网格单元的两个列表以从粒子位置传播细胞的生长边界来计算Voronoi图。距离测试仅在不同粒子的生长边界相互碰撞时发生,因此距离测试的次数得以有效地减少。我们给出了二维和三维的一些经验结果。该方法以直接的方式推广到任何维度。距离测试可以基于任何度量。

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