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Sunday算法效率分析
引用本文:潘冠桦,张兴忠.Sunday算法效率分析[J].计算机应用,2012,32(11):3082-3088.
作者姓名:潘冠桦  张兴忠
作者单位:太原理工大学 计算机科学与技术学院,太原 030024
摘    要:针对Sunday算法的过程比较复杂,难以构建马尔可夫链的问题,提出一种新的根据算法的匹配次数差求平均效率的方法。首先选定初等算法作为效率分析的基准算法,使用马尔可夫链得出初等算法比较精确的平均效率估计公式;然后根据相应的概率公式计算出初等算法和Sunday算法匹配过程的差值;将两者结合,得出Sunday算法平均效率估计公式。实验结果表明,由此公式计算的估计值可以代表实际匹配次数的平均值。

关 键 词:Sunday算法    算法效率    马尔可夫链    初等算法    平均匹配次数
收稿时间:2012-05-03
修稿时间:2012-06-22

Study on efficiency of Sunday algorithm
PAN Guan-hua,ZHANG Xing-zhong.Study on efficiency of Sunday algorithm[J].journal of Computer Applications,2012,32(11):3082-3088.
Authors:PAN Guan-hua  ZHANG Xing-zhong
Affiliation:College of Computer Science and Technology, Taiyuan university of Technology, Taiyuan Shanxi 030024, China
Abstract:Given the characteristic that the Sunday algorithm is too complex to construct Markov chains, a new method according to the difference of matching number in the algorithms was proposed to compute the average efficiency. Firstly, the naive algorithm was chosen as the foundation, and its accurate average efficiency was computed by Markov chains. Secondly, the difference of the two algorithms was computed by the corresponding knowledge in probability theory. The two results were combined to get the equation which represented the average efficiency of Sunday algorithm. The experimental results show that the estimated value computed by the equation is the average number of the matching times.
Keywords:Sunday algorithm                                                                                                                          algorithm efficiency                                                                                                                          Markov chain                                                                                                                          naive algorithm                                                                                                                          average matching number
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