Introducing efficient parallelism into approximate string matching and a new serial algorithm
STOC '86 Proceedings of the eighteenth annual ACM symposium on Theory of computing
Suffix arrays: a new method for on-line string searches
SIAM Journal on Computing
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Reducing the space requirement of suffix trees
Software—Practice & Experience
LATIN '00 Proceedings of the 4th Latin American Symposium on Theoretical Informatics
Scaling and related techniques for geometry problems
STOC '84 Proceedings of the sixteenth annual ACM symposium on Theory of computing
Simple linear work suffix array construction
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
Practical Algorithms for the Longest Common Extension Problem
SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
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Landau and Vishkin developed an O(kn) algorithm for the approximate string matching problem, where k is the maximum number of admissible errors and n the length of the text. This algorithm uses suffix trees for an O(1) running time computation of the longest common extensions between strings. We present a variation of this algorithm which uses suffix arrays for computing the longest common extensions.