按最长公共前缀合并字符串序列

Waihong Ng, K. Kakehi
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引用次数: 14

摘要

提出了一种新的LCP合并算法,用于合并两个有序字符串序列。LCP Merge利用字符串之间的最长公共前缀(LCP),尽可能用整数比较代替字符串比较,以减少字符比较的次数以及键访问的次数。作为LCP归并的应用之一,我们在递归归并的基础上,用LCP归并代替归并算法,构建了一个字符串归并排序,我们称之为LCP归并排序。在对字符串进行排序的情况下,递归归并排序的计算复杂度往往大于O(nlgn),因为字符串比较通常不是常数时间,并且取决于字符串的属性。然而,LCP归并排序改进了递归归并排序,其计算复杂度平均保持为O(n lgn)。我们进行了大量的实验,将LCP合并排序与其他字符串排序算法进行比较,以评估其实际性能,实验结果表明LCP合并排序即使在现实世界中也是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Merging String Sequences by Longest Common Prefixes
We present LCP Merge, a novel merging algorithm for merging two ordered sequences of strings. LCP Merge substitutes string comparisons with integer comparisons whenever possible to reduce the number of character-wise comparisons as well as the number of key accesses by utilizing the longest common prefixes (LCP) between the strings. As one of the applications of LCP Merge, we built a string merge sort based on recursive merge sort by replacing the merging algorithm with LCP Merge and we call it LCP Merge sort. In case of sorting strings, the computational complexity of recursive merge sort tends to be greater than O(n lg n) because string comparisons are generally not constant time and depend on the properties of the strings. However, LCP Merge sort improves recursive merge sort to the extent that its computational complexity remains O(n lg n) on average. We performed a number of experiments to compare LCP Merge sort with other string sorting algorithms to evaluate its practical performance and the experimental results showed that LCP Merge sort is efficient even in the real-world.
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