Comparing sorting algorithm complexity based on control flow structure

Reina Setiawan
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引用次数: 5

Abstract

The aim of this paper is to compare the complexity of three simple sort algorithm; selection sort algorithm, bubble sort algorithm, and insertion sort algorithm. The measurement of the complexity is based on control flow structure and time processing. The control flow structure is illustrated into flowgraph and measured by number of out-degree and number of in-degree. The algorithm is coded in C programming language. The sorting experiment uses four data sets: 100,000 random words, 50,000 random words, 100,000 random integer numbers, and 50,000 random integer numbers to measure the time processing. The result of the measurement explains that the bubble sort algorithm has the complexity more than others.
比较基于控制流结构的排序算法复杂度
本文的目的是比较三种简单排序算法的复杂度;选择排序算法,冒泡排序算法,和插入排序算法。复杂性的度量基于控制流结构和时间处理。控制流程结构用流程图表示,并以出度数和入度数进行测量。算法用C语言编写。排序实验使用4个数据集:100,000个随机单词、50,000个随机单词、100,000个随机整数和50,000个随机整数来衡量时间处理。测量结果表明,冒泡排序算法的复杂度高于其他算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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