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Square meshes are not optimal for convex hull computation

机译:方形网格对于凸包计算不是最佳的

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Recently it has been noticed that for semigroup computations and for selection, rectangular meshes with multiple broadcasting yield faster algorithms than their square counterparts. The contribution of the paper is to provide yet another example of a fundamental problem for which this phenomenon occurs. Specifically, we show that the problem of computing the convex hull of a set of n sorted points in the plane can be solved in O(n/sup 1/8/ log /sup 3/4/) time on a rectangular mesh with multiple broadcasting of size n/sup 3/8/ log/sup 1/4/ n/spl times/sup 5/8//log/sup 1/4. The fastest previously known algorithms on a square mesh of size /spl radic/spl times//spl radic run in O(n/sup 1/6/) time in case the n points are pixels in a binary image, and in O(n/sup 1/6/log/sup 3/2/ n) time for sorted points in the plane.
机译:最近,已经注意到,对于半组计算和选择,具有多重广播的矩形网格比其正方形对应的算法更快。本文的贡献是提供了发生此现象的基本问题的另一个示例。具体而言,我们表明,在具有多个倍数的矩形网格上,可以在O(n / sup 1/8 / log / sup 3/4 /)时间内解决计算平面中一组n个排序点的凸包的问题广播大小为n / sup 3/8 / log / sup 1/4 / n / spl次/ n / sup 5/8 // log / sup 1/4 / n。如果n点是二进制图像中的像素,则在大小为/ spl radic / n / spl times // spl radic / n的方网格上,最快已知的算法以O(n / sup 1/6 /)时间运行,并以O(n / sup 1/6 / log / sup 3/2 / n)时间计算平面中的排序点。

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