4 research outputs found

    Finding the Leftmost Critical Factorization on Unordered Alphabet

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    We present a linear time and space algorithm computing the leftmost critical factorization of a given string on an unordered alphabet.Comment: 13 pages, 13 figures (accepted to Theor. Comp. Sci.

    Faster Longest Common Extension Queries in Strings over General Alphabets

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    Longest common extension queries (often called longest common prefix queries) constitute a fundamental building block in multiple string algorithms, for example computing runs and approximate pattern matching. We show that a sequence of qq LCE queries for a string of size nn over a general ordered alphabet can be realized in O(qloglogn+nlogn)O(q \log \log n+n\log^*n) time making only O(q+n)O(q+n) symbol comparisons. Consequently, all runs in a string over a general ordered alphabet can be computed in O(nloglogn)O(n \log \log n) time making O(n)O(n) symbol comparisons. Our results improve upon a solution by Kosolobov (Information Processing Letters, 2016), who gave an algorithm with O(nlog2/3n)O(n \log^{2/3} n) running time and conjectured that O(n)O(n) time is possible. We make a significant progress towards resolving this conjecture. Our techniques extend to the case of general unordered alphabets, when the time increases to O(qlogn+nlogn)O(q\log n + n\log^*n). The main tools are difference covers and the disjoint-sets data structure.Comment: Accepted to CPM 201
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