几何问题的高效bsr并行算法

D. Semé, J. Myoupo
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引用次数: 2

摘要

针对点定位、凸包和最小包围矩形三个几何问题,提出了bsr并行算法。利用Akl和Guenther在1989年引入的BSR模型,在常数时间内解决了这些问题。第一种算法使用O(N)个处理器(N是多边形R的边数),第二种算法使用O(N'/sup 2/)个处理器(N'是点的数量),第三种算法使用O(N'/sup 2/)个处理器(它需要凸包)来解决最小的封闭矩形问题。这些新的结果表明,许多其他几何问题可以用BSR模型在常数时间内解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient BSR-based parallel algorithms for geometrical problems
This paper presents BSR-parallel algorithms for three geometrical problems: point location, convex hull and smallest enclosing rectangle. These problems are solved in constant time using the BSR model introduced by Akl and Guenther in 1989. The first algorithm uses O(N) processors (N is the number of edges of the polygon R). The second uses O(N'/sup 2/) processors (N' is the number of points) and the third one uses O(N'/sup 2/) processors (it need the convex hull) to solve the smallest enclosing rectangle problem. These new results suggest that many other geometrical problems can be solved in constant time using the BSR model.
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