Maximal Common Subsequence Algorithms

Y. Sakai
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引用次数: 8

Abstract

A common subsequence of two strings is maximal, if inserting any character into the subsequence can no longer yield a common subsequence of the two strings. The present article proposes a (sub)linearithmic-time, linear-space algorithm for finding a maximal common subsequence of two strings and also proposes a linear-time algorithm for determining if a common subsequence of two strings is maximal.
最大公共子序列算法
如果在子序列中插入任何字符都不能产生两个字符串的公共子序列,则两个字符串的公共子序列是最大的。本文提出了一种线性时间、线性空间算法来寻找两个字符串的最大公共子序列,并提出了一种线性时间算法来确定两个字符串的公共子序列是否最大。
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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