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A new flexible algorithm for the longest common subsequence problem

  • Claus Rick
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 937)

Abstract

A new algorithm that is efficient for both short and long longest common subsequences is presented. It also improves on previous algorithms for longest common subsequences of intermediate length. Thus, it is more flexible and can be used for a wider range of applications than others. The algorithm is based on the well-known paradigm of computing dominant matches and was obtained through a kind of dualization. Some experimental results are given, too.

Keywords

Previous Algorithm Dynamic Programming Approach Longe Common Subsequence Alphabet Size Longe Common Subsequence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Claus Rick
    • 1
  1. 1.Computer Science Department IVUniversity of BonnBonnGermany

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