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author:

Zhu, D. (Zhu, D..) [1] | Wang, L. (Wang, L..) [2] | Wu, Y. (Wu, Y..) [3] | Wang, X. (Wang, X..) [4]

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Scopus

Abstract:

In this paper, we consider a generalized longest common subsequence problem, in which a constraining sequence of length s must be included as a subsequence and the other constraining sequence of length t must be excluded as a subsequence of two main sequences and the length of the result must be maximal. For the two input sequences X and Y of lengths n and m, and the given two constraining sequences of length s and t, we present an O(nmst) time dynamic programming algorithm for solving the new generalized longest common subsequence problem. The correctness of the new algorithm is demonstrated. © 2015 Springer International Publishing Switzerland.

Keyword:

Constraining sequences; Dynamic programming; Longest common subsequence problem; Similarity; Time complexity

Community:

  • [ 1 ] [Zhu, D.]Quanzhou Normal University, Quanzhou, 362000, China
  • [ 2 ] [Wang, L.]Facebook, 1 Hacker Way, Menlo Park, CA 94052, United States
  • [ 3 ] [Wu, Y.]Fuzhou University, Fuzhou, 350002, China
  • [ 4 ] [Wang, X.]Fujian University of Technology, Fuzhou, 350108, China

Reprint 's Address:

  • [Wang, X.]Fujian University of TechnologyChina

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Source :

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISSN: 0302-9743

Year: 2015

Volume: 9531

Page: 814-821

Language: English

0 . 4 0 2

JCR@2005

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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