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Efficient computation of the Damerau-Levenshtein distance between biological sequences

机译:高效计算生物序列之间的Damerau-Levenshtein距离

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We have developed linear space algorithms to compute the Damerau-Levenshtein (DL) distance [1], [2] between two strings and also to find a sequence of edit operations of length equal to the DL distance (optimal trace). Our algorithms require O(s min{m, n} + m + n) space, where s is the size of the alphabet and m and n are, respectively, the lengths of the two strings. Previously known algorithms require O(mn) space. Cache efficient and multi-core linear-space algorithms have also been developed. The cache miss efficiency of the algorithms was analyzed using a simple cache model.
机译:我们已经开发了线性空间算法来计算两个字符串之间的Damerau-Levenshtein(DL)距离[1],[2],并且还找到了一系列长度等于DL距离的编辑操作(最佳迹线)。我们的算法需要O(s min {m,n} + m + n)空间,其中s是字母的大小,m和n分别是两个字符串的长度。先前已知的算法需要O(mn)空间。还开发了高速缓存有效的多核线性空间算法。使用简单的缓存模型分析了算法的缓存未命中效率。

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