A New Efficient Algorithm for Computing the Longest Common Subsequence

  • Authors:
  • M. Sohel Rahman;Costas S. Iliopoulos

  • Affiliations:
  • Algorithm Design Group, Department of Computer Science, King's College London, Strand, London WC2R 2LS, England;Algorithm Design Group, Department of Computer Science, King's College London, Strand, London WC2R 2LS, England

  • Venue:
  • AAIM '07 Proceedings of the 3rd international conference on Algorithmic Aspects in Information and Management
  • Year:
  • 2007

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Abstract

In this paper, we present a new and efficient algorithm for solving the LCS problem for two strings. Our algorithm runs in $O(\mathcal R\log\log n + n)$ time, where $\mathcal R$ is the total number of ordered pairs of positions at which the two strings match.