Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6874271 | Information Processing Letters | 2015 | 5 Pages |
Abstract
The longest common substring with k-mismatches problem is to find, given two strings S1 and S2, a longest substring A1 of S1 and A2 of S2 such that the Hamming distance between A1 and A2 is â¤k. We introduce a practical O(nm) time and O(1) space solution for this problem, where n and m are the lengths of S1 and S2, respectively. This algorithm can also be used to compute the matching statistics with k-mismatches of S1 and S2 in O(nm) time and O(m) space. Moreover, we also present a theoretical solution for the k=1 case which runs in O(nlogâ¡m) time, assuming mâ¤n, and uses O(m) space, improving over the existing O(nm) time and O(m) space bound of Babenko and Starikovskaya [1].
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Tomas Flouri, Emanuele Giaquinta, Kassian Kobert, Esko Ukkonen,