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Kinetic Voronoi Diagrams and Delaunay Triangulations under Polygonal Distance Functions

机译:多边形距离函数下的动力学Voronoi图和Delaunay三角剖分

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摘要

Let P be a set of n points and Q a convex k-gon in . We analyze in detail the topological (or discrete) changes in the structure of the Voronoi diagram and the Delaunay triangulation of P, under the convex distance function defined by Q, as the points of P move along prespecified continuous trajectories. Assuming that each point of P moves along an algebraic trajectory of bounded degree, we establish an upper bound of on the number of topological changes experienced by the diagrams throughout the motion; here is the maximum length of an (n, r)-Davenport-Schinzel sequence, and r is a constant depending on the algebraic degree of the motion of the points. Finally, we describe an algorithm for efficiently maintaining the above structures, using the kinetic data structure (KDS) framework.
机译:设P是n个点的集合,Q是的凸k边形。我们详细分析了在Q定义的凸距离函数下,随着P点沿预定的连续轨迹移动,Voronoi图的结构和P的Delaunay三角剖分的拓扑(或离散)变化。假设P的每个点都沿着有界度的代数轨迹运动,我们在整个运动过程中建立图的拓扑变化数量的上限;这是(n,r)-Davenport-Schinzel序列的最大长度,r是一个常数,取决于点的运动的代数程度。最后,我们描述了一种使用动力学数据结构(KDS)框架有效维护上述结构的算法。

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