Computing longest common square subsequences

Takafumi Inoue, Shunsuke Inenaga, Heikki Hyyrö, H. Bannai, M. Takeda
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引用次数: 10

Abstract

A square is a non-empty string of form YY. The longest common square subsequence (LCSqS) problem is to compute a longest square occurring as a subsequence in two given strings A and B. We show that the problem can easily be solved in O(n^6) time or O(|M|n^4) time with O(n^4) space, where n is the length of the strings and M is the set of matching points between A and B. Then, we show that the problem can also be solved in O(sigma |M|^3 + n) time and O(|M|^2 + n) space, or in O(|M|^3 log^2 n log log n + n) time with O(|M|^3 + n) space, where sigma is the number of distinct characters occurring in A and B. We also study lower bounds for the LCSqS problem for two or more strings.
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计算最长公方子序列
正方形是形式为YY的非空字符串。广场最长公共子序列(LCSqS)问题是计算最长广场发生作为子序列在a和b两个给定的字符串,我们表明,这个问题可以很容易地解决O (n ^ 6)时间或O (n ^ | |米4)时间与O (n ^ 4)空间,其中n是字符串的长度和M a和b之间的匹配点集,我们表明,这个问题也可以解决在O(σ| | ^ 3 + n)时间和O (M | | ^ 2 + n)空间,或在O (M | | ^ 3日志日志log n ^ 2 n + n)时间与O (M | | ^ 3 + n)的空间,其中sigma是A和b中出现的不同字符的数量。我们还研究了两个或多个字符串的LCSqS问题的下界。
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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