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On the average behavior of set merging algorithms (Extended Abstract)

机译:关于集合合并算法的平均行为(扩展摘要)

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摘要

In this paper we study the expected running time of a variety of algorithms that perform set merging. The set merging problem (for example, see AHU [1]) is concerned with using suitable data structures to represent partition of a set S &equil; { 1,2, .... ,n} so that a sequence of instructions of the form "x &Xgr; y", meaning

"Find the subset containing x; Find the subset containing y; Merge the two subsets if they are different."

may be carried out efficiently. Several alternative data structures for solving this problem are known, and their worse-case complexity fairly well understood [3], [4], [5], [8]. In contrast, the average behavior of even the most basic of these schemes remains an open problem [6]. It is the purpose of the present paper to determine the average behavior for several of the set merging algorithms commonly known.

机译:

在本文中,我们研究了执行集合合并的各种算法的预期运行时间。集合合并问题(例如,参见AHU [1])与使用合适的数据结构表示集合S&equil;的分区有关。 {1,2,....,n},因此一系列指令的形式为“ x&Xgr; y”,含义

“查找包含x的子集;查找包含y的子集;如果两个子集不同,则将其合并。”

可以有效地执行。已知有几种解决此问题的替代数据结构,它们的最坏情况复杂度相当好理解[3],[4],[5],[8]。相反,即使是这些方案中最基本的方案,其平均行为仍然是一个悬而未决的问题[6]。本文的目的是确定几种众所周知的集合合并算法的平均行为。

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