Given two sequences, print all longest subsequence present in both of them.
Input: string X = "AGTGATG" string Y = "GTTAG" Output: GTAG GTTG Input: string X = "AATCC" string Y = "ACACG" Output: ACC AAC Input: string X = "ABCBDAB" string Y = "BDCABA" Output: BCAB BCBA BDAB
We have discussed Longest Common Subsequence (LCS) problem here. The function discussed there was mainly to find the length of LCS. We have also discussed how to print the longest subsequence here. But as LCS for two strings is not unique, in this post we will print out all the possible solutions to LCS problem.
Following is detailed algorithm to print the all LCS.
We construct L[m+1][n+1] table as discussed in the previous post and traverse the 2D array starting from L[m][n]. For current cell L[i][j] in the matrix,
a) If the last characters of X and Y are same (i.e. X[i-1] == Y[j-1]), then the charcater must be present in all LCS of substring X[0…i-1] and Y[0..j-1]. We simply recurse for L[i-1][j-1] in the matrix and append current character to all LCS possible of substring X[0…i-2] and Y[0..j-2].
b) If the last characters of X and Y are not same (i.e. X[i-1] != Y[j-1]), then LCS can be constructed from either top side of the matrix (i.e. L[i-1][j]) or from left side of matrix (i.e. L[i][j-1]) depending upon which value is greater. If both the values are equal(i.e. L[i-1][j] == L[i][j-1]), then it will be constructed from both sides of matrix. So based on values at L[i-1][j] and L[i][j-1], we go in direction of greater value or go in both directions if the values are equal.
Below is recursive C++ implementation of above idea –
References: Wikibooks – Reading out all LCSs
This article is contributed by Aditya Goel. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to firstname.lastname@example.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
- Length of Longest Balanced Subsequence
- Shortest Uncommon Subsequence
- Top 20 Dynamic Programming Interview Questions
- Print all longest common sub-sequences in lexicographical order
- Minimum Cost To Make Two Strings Identical
- Find minimum adjustment cost of an array
- Dynamic Programming | High-effort vs. Low-effort Tasks Problem
- Printing Shortest Common Supersequence
- Longest Common Increasing Subsequence (LCS + LIS)
- Wildcard Pattern Matching
- Longest Repeating Subsequence
- Shortest Common Supersequence
- Edit Distance | DP-5
- Longest Common Subsequence | DP-4
- Longest Increasing Subsequence | DP-3