Faster algorithms for string matching with k mismatches

Research output: Contribution to journalArticlepeer-review

Abstract

The string matching with mismatches problem is that of finding the number of mismatches between pattern P of length m and every length m substring of the text T. Currently, the best algorithms for this problem are the following. The Landau-Vishkin algorithm finds all locations where the pattern has at most k errors (where k is part of the input) in time O(nk). The Abrahamson algorithm finds the number of mismatches at every location in time O(n√m log m). We present an algorithm that is faster than both. Our algorithm finds all locations where the pattern has at most k errors in time O(n√k log k). We also show an algorithm that solves the above problem in time O((n+nk3/m) log k).
Original languageEnglish
JournalProceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms
StatePublished - 1 Jan 2000

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