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Titlebook: String Processing and Information Retrieval; 25th International S Travis Gagie,Alistair Moffat,Ernesto Cuadros-Varga Conference proceedings

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Longest Common Prefixes with ,-Errors and Applications,icantly better than worst-case ones in most applications of interest. In this paper, we study the problem of computing the longest prefix of each suffix of a given string of length . that occurs elsewhere in the string with .-errors. This problem has already been studied under the Hamming distance m
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Longest Property-Preserved Common Factor, all strings that preserves a specific property and has maximal length. Here we consider two fundamental string properties: square-free factors and periodic factors under two different settings, one per property. In the first setting, we are given a string . and we are asked to construct a data stru
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Indexed Dynamic Programming to Boost Edit Distance and LCSS Computation,pically in time within .(.) in the worst-case over strings of respective lengths . and . (which is likely to be optimal), and in time within . in some special cases (e.g., disjoint alphabets). We describe how indexing the strings (in linear time), and using such an index to refine the recurrence for
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