String editing and longest common subsequences
Handbook of formal languages, vol. 2
Serial computations of Levenshtein distances
Pattern matching algorithms
The String-to-String Correction Problem
Journal of the ACM (JACM)
Algorithms for the Longest Common Subsequence Problem
Journal of the ACM (JACM)
The Complexity of Some Problems on Subsequences and Supersequences
Journal of the ACM (JACM)
Algorithms and Theory of Computation Handbook
Algorithms and Theory of Computation Handbook
A Survey of Longest Common Subsequence Algorithms
SPIRE '00 Proceedings of the Seventh International Symposium on String Processing Information Retrieval (SPIRE'00)
A simple algorithm for the constrained sequence problems
Information Processing Letters
Efficient algorithms for regular expression constrained sequence alignment
Information Processing Letters
Regular expression constrained sequence alignment
Journal of Discrete Algorithms
New efficient algorithms for the LCS and constrained LCS problems
Information Processing Letters
Algorithms for computing variants of the longest common subsequence problem
Theoretical Computer Science
A New Efficient Algorithm for Computing the Longest Common Subsequence
AAIM '07 Proceedings of the 3rd international conference on Algorithmic Aspects in Information and Management
Constrained LCS: Hardness and Approximation
CPM '08 Proceedings of the 19th annual symposium on Combinatorial Pattern Matching
A space efficient algorithm for the constrained heaviest common subsequence problem
Proceedings of the 46th Annual Southeast Regional Conference on XX
Finite automata based algorithms on subsequences and supersequences of degenerate strings
Journal of Discrete Algorithms
The constrained longest common subsequence problem for degenerate strings
CIAA'07 Proceedings of the 12th international conference on Implementation and application of automata
SPIRE'07 Proceedings of the 14th international conference on String processing and information retrieval
Bit-Parallel Algorithm for the Constrained Longest Common Subsequence Problem
Fundamenta Informaticae
Variants of constrained longest common subsequence
Information Processing Letters
Solving longest common subsequence and related problems on graphical processing units
Software—Practice & Experience
Finite automata based algorithms for the generalized constrained longest common subsequence problems
SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
On the generalized constrained longest common subsequence problems
Journal of Combinatorial Optimization
Regular language constrained sequence alignment revisited
IWOCA'10 Proceedings of the 21st international conference on Combinatorial algorithms
Regular expression constrained sequence alignment
CPM'05 Proceedings of the 16th annual conference on Combinatorial Pattern Matching
Approximability of constrained LCS
Journal of Computer and System Sciences
Quadratic-time algorithm for a string constrained LCS problem
Information Processing Letters
Fast algorithms for computing the constrained LCS of run-length encoded strings
Theoretical Computer Science
Doubly-Constrained LCS and Hybrid-Constrained LCS problems revisited
Information Processing Letters
Guided forest edit distance: better structure comparisons by using domain-knowledge
CPM'07 Proceedings of the 18th annual conference on Combinatorial Pattern Matching
Journal of Discrete Algorithms
The constrained shortest common supersequence problem
Journal of Discrete Algorithms
A dynamic programming solution to a generalized LCS problem
Information Processing Letters
International Journal of Computational Science and Engineering
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This paper considers a constrained version of longest common subsequence problem for two strings. Given strings S1, S2, and P, the constrained longest common subsequence problem for S1 and S2 with respect to P is to find a longest common subsequence lcs of S1 and S1 such that P is a subsequence of this lcs. An O(rn2m2) time algorithm based upon the dynamic programming technique is proposed for this new problem, where n, m and r are lengths of S1, S2 and P, respectively.