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Count unique paths with given sum in an N-ary Tree

Given an integer X and integer N, the task is to find the number of unique paths starting from the root in N-ary tree such that the sum of all these paths is equal to X. The N-ary tree satisfies the following conditions:

Examples:



Input: N = 3, X = 2



Output: 2
Explanation: the two paths having path sum equal to 2 are {1, 1} and {2}.

Input: N = 3, X = 6
Output: 24

Naive Approach: The simplest approach is to recursively find all possible ways to obtain path sum equal to X and print the count obtained. 

Time Complexity: O(N * X)
Auxiliary Space: O(1)

Efficient Approach: To optimize the above approach, the idea is to use Dynamic Programming. Follow the steps below to solve the problem:

Below is the implementation of the above approach:




// C++ program for the above approach
#include <bits/stdc++.h>
#define ll long long
using namespace std;
const int mod = (int)1e9 + 7;
 
// Function for counting total
// no of paths possible with
// the sum is equal to X
ll findTotalPath(int X, int n,
                 vector<int>& dp)
{
 
    // If the path of the sum
    // from the root to current
    // node is stored in sum
    if (X == 0) {
        return 1;
    }
    ll ans = 0;
 
    // If already computed
    if (dp[X] != -1) {
        return dp[X];
    }
 
    // Count different no of paths
    // using all possible ways
    for (int i = 1; i <= min(X, n); ++i) {
 
        ans += findTotalPath(
                   X - i, n, dp)
               % mod;
        ans %= mod;
    }
 
    // Return total no of paths
    return dp[X] = ans;
}
 
// Driver Code
int main()
{
 
    int n = 3, X = 2;
 
    // Stores the number of ways
    // to obtains sums 0 to X
    vector<int> dp(X + 1, -1);
 
    // Function call
    cout << findTotalPath(X, n, dp);
}




// Java program for the above approach
import java.io.*;
import java.util.*;
 
class GFG{
 
static int mod = (int)1e9 + 7;
 
// Function for counting total
// no of paths possible with
// the sum is equal to X
static int findTotalPath(int X, int n,
                         ArrayList<Integer> dp)
{
     
    // If the path of the sum
    // from the root to current
    // node is stored in sum
    if (X == 0)
    {
        return 1;
    }
    int ans = 0;
 
    // If already computed
    if (dp.get(X) != -1)
    {
        return dp.get(X);
    }
 
    // Count different no of paths
    // using all possible ways
    for(int i = 1; i <= Math.min(X, n); ++i)
    {
        ans += findTotalPath(X - i, n, dp) % mod;
        ans %= mod;
    }
 
    // Return total no of paths
    dp.set(X, ans);
    return ans;
}
 
// Driver Code
public static void main(String[] args)
{
    int n = 3, X = 2;
     
    // Stores the number of ways
    // to obtains sums 0 to X
    ArrayList<Integer> dp = new ArrayList<Integer>(
        Collections.nCopies(X + 1, -1));
 
    // Function call
    System.out.print(findTotalPath(X, n, dp));
}
}
 
// This code is contributed by akhilsaini




# Python3 program for the above approach
mod = int(1e9 + 7)
 
# Function for counting total
# no of paths possible with
# the sum is equal to X
def findTotalPath(X, n, dp):
     
  # If the path of the sum
  # from the root to current
  # node is stored in sum
  if (X == 0):
    return 1
     
  ans = 0
 
  # If already computed
  if (dp[X] != -1):
    return dp[X]
     
  # Count different no of paths
  # using all possible ways
  for i in range(1, min(X, n) + 1):
    ans = ans + findTotalPath(X - i, n, dp) % mod;
    ans %= mod;
 
  # Return total no of paths
  dp[X] = ans
  return ans
 
# Driver Code
if __name__ == '__main__':
     
  n = 3
  X = 2
 
  # Stores the number of ways
  # to obtains sums 0 to X
  dp = [-1] * (X + 1)
 
  # Function call
  print(findTotalPath(X, n, dp))
   
# This code is contributed by akhilsaini




// C# program for the above approach
using System;
using System.Collections;
using System.Collections.Generic;
 
class GFG{
 
static int mod = (int)1e9 + 7;
 
// Function for counting total
// no of paths possible with
// the sum is equal to X
static int findTotalPath(int X, int n, int[] dp)
{
     
    // If the path of the sum
    // from the root to current
    // node is stored in sum
    if (X == 0)
    {
        return 1;
    }
    int ans = 0;
 
    // If already computed
    if (dp[X] != -1)
    {
        return dp[X];
    }
 
    // Count different no of paths
    // using all possible ways
    for(int i = 1; i <= Math.Min(X, n); ++i)
    {
        ans += findTotalPath(X - i, n, dp) % mod;
        ans %= mod;
    }
 
    // Return total no of paths
    dp[X] = ans;
    return ans;
}
 
// Driver Code
public static void Main()
{
    int n = 3, X = 2;
     
    // Stores the number of ways
    // to obtains sums 0 to X
    int[] dp = new int[X + 1];
    Array.Fill(dp, -1);
 
    // Function call
    Console.WriteLine(findTotalPath(X, n, dp));
}
}
 
// This code is contributed by akhilsaini




<script>
 
// Javascript program for the above approach
var mod = 1000000007;
 
// Function for counting total
// no of paths possible with
// the sum is equal to X
function findTotalPath(X, n, dp)
{
 
    // If the path of the sum
    // from the root to current
    // node is stored in sum
    if (X == 0) {
        return 1;
    }
    var ans = 0;
 
    // If already computed
    if (dp[X] != -1) {
        return dp[X];
    }
 
    // Count different no of paths
    // using all possible ways
    for (var i = 1; i <= Math.min(X, n); ++i) {
 
        ans += findTotalPath(
                   X - i, n, dp)
               % mod;
        ans %= mod;
    }
 
    // Return total no of paths
    return dp[X] = ans;
}
 
// Driver Code
var n = 3, X = 2;
// Stores the number of ways
// to obtains sums 0 to X
var dp = Array(X + 1).fill(-1);
// Function call
document.write( findTotalPath(X, n, dp));
 
</script>

Output: 
2

 

Time Complexity: O(min (N, X))
Auxiliary Space: O(X)

Another approach : Using DP Tabulation method ( Iterative approach )

The approach to solve this problem is same but DP tabulation(bottom-up) method is better then Dp + memoization(top-down) because memoization method needs extra stack space of recursion calls.

Steps to solve this problem :

Implementation :
 




// C++ program to count total
// no of paths possible with
// the sum is equal to X
#include <bits/stdc++.h>
#define ll long long
using namespace std;
const int mod = (int)1e9 + 7;
 
// Function for counting total
// no of paths possible with
// the sum is equal to X
ll findTotalPath(int X, int n)
{
 
    // Stores the number of ways
    // to obtains sums 0 to X
    vector<int> dp(X + 1);
 
    // Base case
    dp[0] = 1;
 
    // Fill the DP table iteratively
    for (int i = 1; i <= X; ++i) {
        for (int j = 1; j <= min(i, n); ++j) {
            dp[i] += dp[i - j];
            dp[i] %= mod;
        }
    }
 
    // Return total no of paths
    return dp[X];
}
 
// Driver Code
int main()
{
 
    int n = 3, X = 2;
 
    // Function call
    cout << findTotalPath(X, n);
}
// this code is contributed by bhardwajji




import java.util.*;
 
public class Main {
 
    // Function for counting total
    // no of paths possible with
    // the sum is equal to X
    static long findTotalPath(int X, int n) {
 
        // Stores the number of ways
        // to obtains sums 0 to X
        int mod = (int)1e9 + 7;
        int[] dp = new int[X + 1];
 
        // Base case
        dp[0] = 1;
 
        // Fill the DP table iteratively
        for (int i = 1; i <= X; ++i) {
            for (int j = 1; j <= Math.min(i, n); ++j) {
                dp[i] += dp[i - j];
                dp[i] %= mod;
            }
        }
 
        // Return total no of paths
        return dp[X];
    }
 
    // Driver Code
    public static void main(String[] args) {
 
        int n = 3, X = 2;
 
        // Function call
        System.out.println(findTotalPath(X, n));
    }
}




# Python program to count total
# no of paths possible with
# the sum is equal to X
 
# Function for counting total
# no of paths possible with
# the sum is equal to X
def findTotalPath(X, n):
 
    # Stores the number of ways
    # to obtains sums 0 to X
    dp = [0] * (X + 1)
 
    # Base case
    dp[0] = 1
 
    # Fill the DP table iteratively
    for i in range(1, X + 1):
        for j in range(1, min(i, n) + 1):
            dp[i] += dp[i - j]
            dp[i] %= int(1e9 + 7)
 
    # Return total no of paths
    return dp[X]
 
# Driver Code
if __name__ == "__main__":
 
    n = 3
    X = 2
 
    # Function call
    print(findTotalPath(X, n))




    // Function for counting total
    // no of paths possible with
    // the sum is equal to X
    function findTotalPath(X, n)
    {
     
    // Stores the number of ways
    // to obtains sums 0 to X
    const mod = 1e9 + 7;
    const dp = new Array(X + 1).fill(0);
 
    // Base case
    dp[0] = 1;
 
    // Fill the DP table iteratively
    for (let i = 1; i <= X; ++i) {
        for (let j = 1; j <= Math.min(i, n); ++j) {
            dp[i] += dp[i - j];
            dp[i] %= mod;
        }
    }
 
    // Return total no of paths
    return dp[X];
}
 
// Driver Code
const n = 3, X = 2;
 
// Function call
console.log(findTotalPath(X, n));




using System;
 
public class Program
{
    public static int mod = (int)1e9 + 7;
 
    public static long FindTotalPath(int X, int n)
    {
        // Stores the number of ways
        // to obtains sums 0 to X
        int[] dp = new int[X + 1];
 
        // Base case
        dp[0] = 1;
 
        // Fill the DP table iteratively
        for (int i = 1; i <= X; ++i)
        {
            for (int j = 1; j <= Math.Min(i, n); ++j)
            {
                dp[i] += dp[i - j];
                dp[i] %= mod;
            }
        }
 
        // Return total no of paths
        return dp[X];
    }
 
    public static void Main()
    {
        int n = 3, X = 2;
 
        // Function call
        Console.WriteLine(FindTotalPath(X, n));
    }
}
//THIS CODE IS CONTRIBUTED BY ZAID

Output:

2

Time Complexity: O( X * min (N, X))
Auxiliary Space: O(X)


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