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Efficient algorithms for the all nearest neighbor and closest pair problems on the linear array with a reconfigurable pipelined bus system

机译:可重构流水线总线系统的线性阵列上所有最近邻和最近对问题的高效算法

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We present two O(1)-time algorithms for solving the 2D all nearest neighbor (2D/spl I.bar/ANN) problem, the 2D closest pair (2D/spl I.bar/CP) problem, the 3D all nearest neighbor (3D/spl I.bar/ANN) problem and the 3D-closest pair (3D/spl I.bar/CP) problem of n points on the linear array with a reconfigurable pipelined bus system (LARPBS) from the computational geometry perspective. The first O(1) time algorithm, which invokes the ANN properties (introduced in this paper) only once, can solve the 2D/spl I.bar/ANN and 2D/spl I.bar/CP problems of n points on an LARPBS of size 1/2n/sup 5/3+c/, and the 3D/spl I.bar/ANN and 3D/spl I.bar/CP problems pf n points on an LARPBS of size 1/2n/sup 7/4+c/, where 0 < /spl epsi/ = 1/2/sup c+1/-1 /spl Lt/ 1, c is a constant and positive integer. The second O(1) time algorithm, which recursively invokes the ANN properties k times, can solve the kD/spl I.bar/ANN, and kD/spl I.bar/CP problems of n points on an LARPBS of size 1/2n/sup 3/2+c/, where k = 2 or 3, 0 < /spl epsi/ = 1/2/sup n+1/-1 /spl Lt/ 1, and c is a constant and positive integer. To the best of our knowledge, all results derived above are the best O(1) time ANN algorithms known.
机译:我们提出了两种O(1)时间算法来解决2D最接近的邻居(2D / spl I.bar/ANN)问题,2D最接近的对(2D / spl I.bar/CP)问题,3D最接近的邻居3D问题从计算几何学的角度来看,具有可重配置流水线总线系统(LARPBS)的线性阵列上n个点的(3D / spl I.bar/ANN)问题和最接近3D对(3D / spl I.bar/CP)问题。第一个O(1)时间算法仅调用一次ANN属性(本文介绍),可以解决LARPBS上n点的2D / spl I.bar/ANN和2D / spl I.bar/CP问题。 1 / 2n / sup 5/3 + c /的大小,以及3D / spl I.bar/ANN和3D / spl I.bar/CP的问题pf n大小为1 / 2n / sup 7/4的LARPBS + c /,其中0

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