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Article type: Research Article
Authors: Deorowicz, Sebastian
Affiliations: Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland. E-mail: [email protected]
Abstract: The problem of finding a constrained longest common subsequence (CLCS) for the sequences A and B with respect to the sequence P was introduced recently. Its goal is to find a longest subsequence C of A and B such that P is a subsequence of C. Most of the algorithms solving the CLCS problem are based on dynamic programming. Bit-parallelism is a technique of using single bits in a machine word for concurrent computation. We propose the first bit-parallel algorithm computing a CLCS and/or its length which outperforms the other known algorithms in terms of speed.
Keywords: constrained longest common subsequence, longest common subsequence, dynamic programming, bit-parallel algorithm
DOI: 10.3233/FI-2010-256
Journal: Fundamenta Informaticae, vol. 99, no. 4, pp. 409-433, 2010
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