# Count Distinct Subsequences

Given a string, find count of distinct subsequences of it.

Examples:

```Input  : str = "gfg"
Output : 7
The seven distinct subsequences are "", "g", "f",
"gf", "fg", "gg" and "gfg"

Input  : str = "ggg"
Output : 4
The six distinct subsequences are "", "g", "gg"
and "ggg"
```

## Recommended: Please solve it on “PRACTICE ” first, before moving on to the solution.

The problem of counting distinct subsequences is easy if all characters of input string are distinct. The count is equal to nC0 + nC1 + nC2 + … nCn = 2n.

How to count distinct subsequences when there can be repetition in input string?
A Simple Solution to count distinct subsequences in a string with duplicates is to generate all subsequences. For every subsequence, store it in a hash table if it doesn’t exist already. Time complexity of this solution is exponential and it requires exponential extra space.

An Efficient Solution doesn’t require generation of subsequences.

```Let countSub(n) be count of subsequences of
first n characters in input string. We can
recursively write it as below.

countSub(n) = 2*Count(n-1) - Repetition

If current character, i.e., str[n-1] of str has
not appeared before, then
Repetition = 0

Else:
Repetition  =  Count(m)
Here m is index of previous occurrence of
current character. We basically remove all
counts ending with previous occurrence of
current character.
```

How does this work?
If there are no repetitions, then count becomes double of count for n-1 because we get count(n-1) more subsequences by adding current character at the end of all subsequences possible with n-1 length.
If there repetitions, then we find count of all distinct subsequences ending with previous occurrence. This count can be obtained be recursively calling for index of previous occurrence.

Since above recurrence has overlapping subproblems, we can solve it using Dynamic Programming.

Below is C++ implementation of above idea.

## C++

```// C++ program to count number of distinct
// subsequences of a given string.
#include <bits/stdc++.h>
using namespace std;
const int MAX_CHAR = 256;

// Returns count of distinct sunsequences of str.
int countSub(string str)
{
// Create an array to store index
// of last
vector<int> last(MAX_CHAR, -1);

// Length of input string
int n = str.length();

// dp[i] is going to store count of distinct
// subsequences of length i.
int dp[n+1];

// Empty substring has only one subsequence
dp[0] = 1;

// Traverse through all lengths from 1 to n.
for (int i=1; i<=n; i++)
{
// Number of subsequences with substring
// str[0..i-1]
dp[i] = 2*dp[i-1];

// If current character has appeared
// before, then remove all subsequences
// ending with previous occurrence.
if (last[str[i-1]] != -1)
dp[i] = dp[i] - dp[last[str[i-1]]];

// Mark occurrence of current character
last[str[i-1]] = (i-1);
}

return dp[n];
}

// Driver code
int main()
{
cout << countSub("gfg");
return 0;
}
```

## Java

```// Java program to count number of distinct
// subsequences of a given string.
import java.util.ArrayList;
import java.util.Arrays;
public class Count_Subsequences {

static final int MAX_CHAR = 256;

// Returns count of distinct sunsequences of str.
static int countSub(String str)
{
// Create an array to store index
// of last
int[] last = new int[MAX_CHAR];
Arrays.fill(last, -1);

// Length of input string
int n = str.length();

// dp[i] is going to store count of distinct
// subsequences of length i.
int[] dp = new int[n+1];

// Empty substring has only one subsequence
dp[0] = 1;

// Traverse through all lengths from 1 to n.
for (int i=1; i<=n; i++)
{
// Number of subsequences with substring
// str[0..i-1]
dp[i] = 2*dp[i-1];

// If current character has appeared
// before, then remove all subsequences
// ending with previous occurrence.
if (last[(int)str.charAt(i-1)] != -1)
dp[i] = dp[i] - dp[last[(int)str.charAt(i-1)]];

// Mark occurrence of current character
last[(int)str.charAt(i-1)] = (i-1);
}

return dp[n];
}

// Driver code
public static void main(String args[])
{
System.out.println(countSub("gfg"));
}
}
// This code is contributed by Sumit Ghosh
```

Output:

```7
```

Time Complexity : O(n)
Auxiliary Space : O(n)

This article is contributed by Shival Agrawal. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

# GATE CS Corner    Company Wise Coding Practice

3.8 Average Difficulty : 3.8/5.0
Based on 48 vote(s)