优先级树的插入代价分析

Markus Kuba, A. Panholzer
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引用次数: 2

摘要

优先级树是用于优先级队列管理的数据结构。在数字1,…,n的所有排列都同样有可能构建大小为n的优先树的模型下,我们给出了插入成本度量的详细平均情况分析:我们研究了在随机大小为n的优先树中插入元素时的递归深度和键比较次数。对于插入一个随机元素,我们得到了期望和方差的精确和渐近的结果,并进一步证明了所研究参数的中心极限规律;对于插入一个指定优先级的元素,我们可以得到这些量的期望的精确和渐近的结果。
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Analysis of Insertion Costs in Priority Trees
Priority trees are a data structure used for priority queue administration. Under the model that all permutations of the numbers 1, . . ., n are equally likely to construct a priority tree of size n we give a detailed average-case analysis of insertion cost measures: we study the recursion depth and the number of key comparisons when inserting an element into a random size-n priority tree. For inserting a random element we obtain exact and asymptotic results for the expectation and the variance and can further show a central limit law of the parameters studied and for inserting an element with specified priority we can show exact and asymptotic results for the expectation of these quantities.
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