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Linear Time Algorithm for the Longest Common Repeat Problem

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String Processing and Information Retrieval (SPIRE 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3246))

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Abstract

Given a set of strings U={T 1, T 2, ... ,T }, the longest common repeat problem is to find the longest common substring that appears at least twice in each string of U. We also consider reversed and reverse-complemented repeats as well as normal repeats. We present a linear time algorithm for the longest common repeat problem.

Work supported by IMT 2000 Project AB02.

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Lee, I., Iliopoulos, C.S., Park, K. (2004). Linear Time Algorithm for the Longest Common Repeat Problem. In: Apostolico, A., Melucci, M. (eds) String Processing and Information Retrieval. SPIRE 2004. Lecture Notes in Computer Science, vol 3246. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30213-1_2

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  • DOI: https://doi.org/10.1007/978-3-540-30213-1_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23210-0

  • Online ISBN: 978-3-540-30213-1

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