Polytope range searching and integral geometry

B. Chazelle
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引用次数: 16

Abstract

plexity ofsimplex range searching. We prove that the worst-case query time is 0. (n/vm), for d = 2, and more generally, 0. (nl log n)/m 1 / d ) , for d ~ 3; n is the number of points and m is the amount of stor­ age available. These bounds hold with high probability for a random point-set (from a uniform distribution) and thus are valid in the worst case as well as on the average. Interestingly, they still hold if the query remains congruent to a fixed simplex or even a fixed slab. What is the significance of these lower bounds? From a practical standpoint the news is disheartening but instructive. For the sake of il­ lustration, take d = 11: our results say that with only linear storage the query time will have to be at least 0'(nO. 9 ). To make matters worse, this quasi-linear lower bound also holds on the average, so it is un­ escapable in practice. For the query time to be lowered to, say, O(y'n), one would need g(n S ) storage, and a whopping n(n 10 ) space would be necessary if a polylogarithmic query time were desired. Things are
多边形范围搜索和积分几何
单纯形范围搜索的复杂度。我们证明了最坏情况下的查询时间为0。(n/vm),对于d = 2,通常为0。(nl log n)/m 1 / d),对于d ~ 3;N是点的数目,m是可用的存储量。这些边界对于随机点集(来自均匀分布)具有高概率,因此在最坏情况下以及平均情况下都有效。有趣的是,如果查询与固定单纯形或甚至固定slab一致,它们仍然成立。这些下界的意义是什么?从实际的角度来看,这个消息令人沮丧,但也有启发意义。为了便于演示,以d = 11为例:我们的结果表明,仅使用线性存储时,查询时间必须至少为0'(nO. 11)。9)。更糟糕的是,这个准线性下界也适用于平均值,因此在实践中是不可避免的。如果要将查询时间降低到O(y'n),则需要g(n S)存储空间,如果需要多对数查询时间,则需要巨大的n(n 10)空间。东西都是
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