On the generalized constrained longest common subsequence problems

  • Authors:
  • Yi-Ching Chen;Kun-Mao Chao

  • Affiliations:
  • Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan 106;Department of Computer Science and Information Engineering, Graduate Institute of Biomedical Electronics and Bioinformatics, Graduate Institute of Networking and Multimedia, National Taiwan Univer ...

  • Venue:
  • Journal of Combinatorial Optimization
  • Year:
  • 2011

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Abstract

We investigate four variants of the longest common subsequence problem. Given two sequences X, Y and a constrained pattern P of lengths m, n, and 驴, respectively, the generalized constrained longest common subsequence (GC-LCS) problems are to find a longest common subsequence of X and Y including (or excluding) P as a subsequence (or substring). We propose new dynamic programming algorithms for solving the GC-LCS problems in O(mn 驴) time. We also consider the case where the number of constrained patterns is arbitrary.