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From approximate balls to approximate ellipses

机译:从近似球到近似椭圆

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A ball spans a set of n points when none of the points lie outside it. In Zarrabi-Zadeh and Chan (Proceedings of the 18th Canadian conference on computational geometry (CCCG'06), pp 139-142,2006) proposed an algorithm to compute an approximate spanning ball in the streaming model of computation, and showed that the radius of the approximate ball is within 3/2 of the minimum. Spurred by this, in this paper we consider the 2-dimensional extension of this result: computation of spanning ellipses. The ball algorithm is simple to the point of being trivial, but the extension of the algorithm to ellipses is non-trivial. Surprisingly, the area of the approximate ellipse computed by this approach is not within a constant factor of the minimum and we provide an elegant proof of this. We have implemented this algorithm, and experiments with a variety of inputs, except for a very pathological one, show that it can nevertheless serve as a good heuristic for computing an approximate ellipse.
机译:如果没有一个球位于球的外部,则该球跨越n个点。在Zarrabi-Zadeh和Chan(第18届加拿大计算几何学会议论文集(CCCG'06),第139-142页,2006年)中,提出了一种在流计算模型中计算近似跨度球的算法,并指出了半径近似球的角度在最小值的3/2之内。受此启发,本文考虑了该结果的二维扩展:跨度椭圆的计算。球算法对于琐碎而言很简单,但是将算法扩展到椭圆却并非易事。令人惊讶的是,通过这种方法计算出的近似椭圆的面积不在最小值的恒定因数之内,我们对此提供了一种优雅的证明。我们已经实现了该算法,除非常病理的输入外,通过各种输入进行的实验表明,它仍然可以作为计算近似椭圆的一种很好的启发式方法。

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