In this tutorial we will learn to find the Longest Common Subsequence for given sequence using Dynamic Programming.

Given two sequence say "ABCD" and "ACF".

Longest Common Subsequence or LCS is a sequence that appears in the same relative order in both the given sequences but not necessarily in a continuous manner.

LCS for the given sequences is **AC** and length of the LCS is 2.

Given two sequence say "ABACCD" and "ACDF"

Find Longest Common Subsequence or LCS

```
ABACCD ACDF
^ ^
SAME (so we mark them and move to next letters)
[A]BACCD [A]CDF
^ ^
DIFFERENT (so move to next letter)
[A]BACCD [A]CDF
^ ^
DIFFERENT (so move to next letter)
[A]BACCD [A]CDF
^ ^
SAME (so we mark them and move to next letters)
[A]BA[C]CD [A][C]DF
^ ^
DIFFERENT (so move to next letter)
[A]BA[C]CD [A][C]DF
^ ^
SAME (so we mark them)
[A]BA[C]C[D] [A][C][D]F
```

So, LCS for the given sequences is **ACD** and length of the LCS is 3.

Consider following two sequences.

Length (number of characters) of sequence X is XLen = 4

And length of sequence Y is YLen = 3

Now create a Length array **L**. It will contain the length of the required longest common subsequence. L is a two dimensional array.

Having rows = XLen + 1 = 4+1 = 5

And columns = YLen + 1 = 3+1 = 4

Fill the **row 0** with 0 and **col 0** with 0.

```
if (X[r-1] == Y[c-1]) then
L[r][c] = L[r-1][c-1] + 1
else
L[r][c] = max { L[r-1][c], L[r][c-1] }
i.e., if current character in X and Y are same
then they are in the resulting LCS.
```

After filling up the L array it will look as follows.

To know the length of the longest common subsequence for X and Y we have to look at the value L[XLen][YLen],

i.e., L[4][3] = 3

So, Length of LCS = L[4][3] = 3

Create an array LCS of size 3, this will hold the characters in the LCS for the given two sequences X and Y.

```
Set r = XLen, c = YLen, i = L[r][c]
while ( r > 0 && c > 0) do
if (X[r-1] == Y[c-1]) then
LCS[i-1] = X[r-1]
i = i - 1, r = r - 1, c = c - 1
else if (L[r-1][c] > L[r][c-1]) then
r = r - 1
else
c = c - 1
endwhile
```

After filling up the LCS array it will look like the following.

Required Longest Common Subsequence [LCS] is **ACF**.

```
#include<stdio.h>
#include<string.h>
int max(int a, int b);
void findLCS(char *X, char *Y, int XLen, int YLen);
int max(int a, int b) {
return (a > b)? a : b;
}
void findLCS(char *X, char *Y, int XLen, int YLen) {
int L[XLen + 1][YLen + 1];
int r, c, i;
/*
* find the length of the LCS
*/
for(r = 0; r <= XLen; r++) {
for(c = 0; c <= YLen; c++) {
if(r == 0 || c == 0) {
L[r][c] = 0;
} else if(X[r - 1] == Y[c - 1]) {
L[r][c] = L[r - 1][c - 1] + 1;
} else {
L[r][c] = max(L[r - 1][c], L[r][c - 1]);
}
}
}
/*
* Print LCS
*/
r = XLen;
c = YLen;
i = L[r][c];
char LCS[i+1];
/*
* setting the NULL character at the end of LCS character array.
* as we know in C programming language, NULL character is used
* to denote the end of a string
*/
LCS[i] = '\0';
while(r > 0 && c > 0) {
if(X[r - 1] == Y[c - 1]) {
LCS[i - 1] = X[r - 1];
i--;
r--;
c--;
} else if(L[r - 1][c] > L[r][c - 1]) {
r--;
} else {
c--;
}
}
//print result
printf("Length of the LCS: %d\n", L[XLen][YLen]);
printf("LCS: %s\n", LCS);
}
int main(void) {
//the two sequences
char X[] = "ABCF";
char Y[] = "ACF";
//length of the sequences
int XLen = strlen(X);
int YLen = strlen(Y);
findLCS(X, Y, XLen, YLen);
return 0;
}
```

Output

```
Length of the LCS: 3
LCS: ACF
```

Time Complexity is O(XLen x YLen).

Recently Added

- Bootstrap - Dropdowns Bootstrap
- Bootstrap - Panels Bootstrap
- Bootstrap - List group Bootstrap
- Bootstrap - Media Object Bootstrap
- Bootstrap - Thumbnails Bootstrap
- Upload file to remote server using FTP and SFTP Client - Windows, Mac, Linux Howto Website
- Setting up name servers - Pointing domain name to hosting server Howto Website
- Getting a domain and hosting plan for your website Howto Website
- Getting started with free blog and website Howto Website
- How to Website - Introduction Howto Website