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On the average cost of insertions on random relaxed K-d trees

机译:在随机放松k-D树上插入的平均成本

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In this work we refine the average case analysis of randomized insertions and deletions in random relaxed K-d trees, first given by Broutin et al. in [3]. The analysis is based in the analysis of the split and join algorithms, which recursively call one another and are the basis of the randomized update operations under consideration. For K = 2 the average cost of insertions and deletions is Θ(log n). For K > 2, this average cost is Θ(n{sup}(Φ(k)-1)), for some Φ(K) > 1. This immediately follows from the analysis of the expected cost s{sub}n of splitting a tree of size n, which is the same as the expected cost m{sub}n of joining a pair of trees with total size n. These costs are, for K = 2, s{sub}n = m{sub}n = Θ(n) and, for K > 2, s{sub}n = m{sub}n = Ω(n{sup}(Φ(k))). In this abstract we find a closed form for the value of the exponent Φ(K), as well as the constant factor multiplying the main order term in s{sub}n.
机译:在这项工作中,我们将随机插入的平均案例分析和随机放松的K-D树上进行了平均分析,首先由Broutin等。在[3]中。分析基于分析和加入算法的分析,该算法彼此递归呼叫,是所考虑的随机更新操作的基础。对于k = 2,插入和删除的平均成本是θ(log n)。对于K> 2,对于一些φ(k)> 1,该平均成本是θ(n {sup}(φ(k)-1)),从预期成本s {sub} n的分析中立即跟随分割一个大小的树,它与加入一对树木的预期成本m {sub} n相同。对于k = 2,s {sub} n = m {sub} n =θ(n)而且,对于k> 2,s {sub} n = m {sub} n =ω(n {sup} n = m = m(n {sup}) (φ(k)))))。在本摘录中,我们找到了指数φ(k)的值的封闭形式,以及乘以乘以s {sub} n中的主订单项的恒因因子。

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