概率分布和搜索方案

Aaron Tenenbein, Jay-Louise Weldon
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引用次数: 2

摘要

搜索方案的一个经常被用来表示搜索效率的属性是在计算机内存(或辅助存储器)中定位一条记录所需的预期传递次数(或读操作)。但是,在确定给定文件(或一组记录)的最有效搜索技术时,与所需遍历次数变化相关的其他属性可能同样重要。这些属性可以从通过次数的分布中得到。本文在此框架下讨论了二分搜索方案。所需通过次数的概率分布与平均值、标准差和百分位数一起导出。给出了随机顺序搜索方案的均值和标准差。讨论了这些结果在记录访问和检索中的常见搜索问题中的应用,并指出了涉及二进制和随机搜索技术组合的可能扩展。
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Probability distributions and search schemes

One property of search schemes used frequently as an indication of search efficiency is the expected number of passes (or read operations) required to locate a record in computer memory (or secondary storage). However, other properties related to the variation in the number of passes required may be equally important in determining the most efficient search technique for a given file (or set of records). These properties can be obtained from the distribution of the number of passes.

In this paper, the binary search scheme is discussed within this framework. The probability distribution of the number of passes required is derived along with the mean, standard deviation and the percentiles. The mean and standard deviation of the random sequential search scheme are also presented. The application of these results to common search problems in record access and retrieval are discussed and possible extensions involving a combination of binary and random search techniques are indicated.

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