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An O((log log n)/sup 2/) time convex hull algorithm on reconfigurable meshes

机译:可重构网格上的O((log log n)/ sup 2 /)时间凸包算法

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The problem of obtaining an algorithm for computing the convex hull of a set of n sorted points in sub-logarithmic time on a reconfigurable mesh of size /spl radic/spl times//spl radic has been open for eight years. The authors provide the first breakthrough: they propose an almost optimal algorithm running in O((log log n)/sup 2/) time on a reconfigurable mesh of size /spl radic/spl times//spl radic. With slight modifications this algorithm can be implemented to run in O((log log n)/sup 2/) time on a reconfigurable mesh of size /spl radic/log log n/spl times//spl radic/log log n. Clearly, the latter algorithm is work-optimal. They also show that any algorithm that computes the convex hull of a set of n sorted points on an n-processor reconfigurable mesh must take /spl Omega/(log log n) time. The result opens the door to efficient convex-hull-based algorithms on reconfigurable meshes.
机译:在尺寸为/ spl radic / n / spl times // spl radic / n的可重构网格上,获得用于在亚对数时间内计算一组n个排序点的凸包的算法的问题已经开放了八年。作者提出了第一个突破:他们提出了一种在O((log log n)/ sup 2 /)时间上在大小为/ spl radic / n / spl times // spl radic / n的可重新配置网格上运行的最佳算法。稍作修改,即可实现该算法以O((log log n)/ sup 2 /)时间在大小为/ spl radic / n / log log n / spl times // spl radic / n / log的可重新配置网格上运行登录显然,后一种算法是最优的。他们还表明,任何在n处理器可重配置网格上计算n个排序点集的凸包的算法都必须花费/ spl Omega /(log log n)的时间。结果为在可重配置网格上基于有效的基于凸包的算法打开了大门。

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