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Volumn 90, Issue 4, 2004, Pages 167-173

Longest common subsequence between run-length-encoded strings: A new algorithm with improved parallelism

Author keywords

Algorithms; Longest common subsequence; Parallel processing; Run length encoding; String comparison

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; ENCODING (SYMBOLS); MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; PARALLEL PROCESSING SYSTEMS; RECURSIVE FUNCTIONS;

EID: 1842787419     PISSN: 00200190     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipl.2004.02.011     Document Type: Article
Times cited : (38)

References (14)
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    • A fast and practical bit vector algorithm for the longest common subsequence problem
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    • (2001) Inform. Process. Lett. , vol.80 , pp. 279-285
    • Crochemore, M.1    Iliopoulos, C.S.2    Pinzon, Y.J.3    Reid, J.F.4
  • 8
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    • Sparse dynamic programming I: Linear cost functions
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    • Eppstein, D.1    Galil, Z.2    Giancarlo, R.3    Italiano, G.4
  • 9
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    • Algorithms for the longest common subsequence problem
    • Hirschberg D.S. Algorithms for the longest common subsequence problem. J. ACM. 24:(4):1977;664-675.
    • (1977) J. ACM , vol.24 , Issue.4 , pp. 664-675
    • Hirschberg, D.S.1
  • 10
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    • A fast algorithm for computing longest common subsequences
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    • Hunt, J.W.1    Szymanski, T.G.2
  • 11
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    • Accelerating substring searching: Breaking the I/O barrier
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.