Time-optimal sorting and applications on n*n enhanced meshes

S. Olariu, J. L. Schwing, J. Zhang
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引用次数: 7

Abstract

Time-optimal sorting and convex hull algorithms are proposed for two classes of enhanced meshes, the mesh with multiple broadcasting and the reconfigurable mesh. The authors show that the fundamental problem of sorting n items can be solved in O(log n) time on a mesh with multiple broadcasting of size n*n, which leads to an O(log n) time algorithm to compute the convex hull of an arbitrary set of n points in the plane. Based on the constant-time sorting algorithm on reconfigurable meshes, it is suggested that the convex hull problem of size n can be solved in constant time on a reconfigurable mesh of size n*n. All these algorithms can achieve time lower bounds for their respective models of computation.<>
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时间最优排序和应用在n*n增强网格
针对多广播网格和可重构网格两类增强网格,提出了时间最优排序算法和凸包算法。作者证明了n项排序的基本问题可以在O(log n)时间内解决,在大小为n*n的多重广播网格上,这导致了一个O(log n)时间的算法来计算平面上任意n点集合的凸包。基于可重构网格的常时间排序算法,提出在n*n的可重构网格上,可在常时间内求解n大小的凸壳问题。这些算法都能达到各自计算模型的时间下界。
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