平面点集的宽度和直径在线保持问题

Ravi Janardan
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引用次数: 24

摘要

本文提出了一种有效的在线算法,用于保持动态平面点集S的宽度和直径(几乎精确)。设n为当前在S中的点的个数,设W和D分别表示S的宽度和直径,设α和Β为正整数参数。宽度问题的算法使用O(αn)空间,支持在O(α log2n)时间内更新,并在O(α log2n)时间内报告宽度的近似值,例如\(\hat W/W \leqslant \sqrt {1 + \tan ^2 \tfrac{\pi }{{4\alpha }}}\)。直径问题的算法使用O(Βn)空间,支持在O(Βlogn)时间内进行更新,并在O(Β)时间内报告直径的近似值D,以便\(\hat D/D \geqslant \sin \left( {\tfrac{\beta }{{\beta + 1}}\tfrac{\pi }{2}} \right)\)。例如,即使α小至5,α /W≤1.01,Β小至11,D/D≥0.99。所有的边界都是最坏情况。这两种算法,尤其是直径问题的算法,都使用易于理解的数据结构,并且应该易于实现。直径结果给出了贪婪启发式最大权值欧几里得匹配的快速实现和在平面上保持近似凸包的有效在线算法。
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On maintaining the width and diameter of a planar point-set online
Efficient online algorithms are presented for maintaining the (almost-exact) width and diameter of a dynamic planar point-set, S. Let n be the number of points currently in S, let W and D denote the width and diameter of S, respectively, and let α and Β be positive, integer-valued parameters. The algorithm for the width problem uses O(αn) space, supports updates in O(α log2n) time, and reports in O(α log2n) time an approximation, ŵ, to the width such that \(\hat W/W \leqslant \sqrt {1 + \tan ^2 \tfrac{\pi }{{4\alpha }}}\). The algorithm for the diameter problem uses O(Βn) space, supports updates in O(Βlogn) time, and reports in O(Β) time an approximation, D, to the diameter such that \(\hat D/D \geqslant \sin \left( {\tfrac{\beta }{{\beta + 1}}\tfrac{\pi }{2}} \right)\). Thus, for instance, even for α as small as 5, ŵ/W≤1.01, and for Β as small as 11, D/D≥.99. All bounds stated are worst-case. Both algorithms, but especially the one for the diameter problem, use well-understood data structures and should be simple to implement. The diameter result yields a fast implementation of the greedy heuristic for maximum-weight Euclidean matching and an efficient online algorithm to maintain approximate convex hulls in the plane.
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