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Sum of all subsequences of length K

Last Updated : 17 Jan, 2023
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Given an array arr[]and an integer K, the task is to find the sum of all K length subsequences from the given array.

Example: 

Input: arr[] = {2, 3, 4}, K = 2 
Output: 18 
Explanation: 
There are 3 possible subsequences of length 2 which are {2, 3}, {2, 4} and {3, 4} 
The sum of all 2 length subsequences is 5 + 6 + 7 = 18

Input: arr[] = {7, 8, 9, 2}, K = 2 
Output: 78 
Explanation: 
There are 6 subsequences of length 2 which are {7, 8}, {7, 9}, {7, 2}, {8, 9}, {8, 2} and {9, 2}. 
The sum of all 2 length sub sequences is 15 + 16 + 9 + 17 + 10 + 11 = 78 
 

Approach: 
To solve the problem mentioned above we have to consider all K length subsequence that is “n choose k”, i.e. k * nCk

  • The count of total element in all K length subsequences is k * nCk  , possibility of appearing of each element is same.
  • So each element appears((k * nCk) / n )  times and it contributes arr[i] * ( (k*nCk)/n )  in the result.
  • Hence, the sum of all K length subsequence is sum(array) * ( (k * nCk) / n )

Below is the implementation of the above mentioned approach: 

C++

// C++ implementation to find sum
// of all subsequences of length K
 
#include <bits/stdc++.h>
using namespace std;
 
int fact(int n);
 
// Function to find nCr
int nCr(int n, int r)
{
    return fact(n)
           / (fact(r)
              * fact(n - r));
}
 
// Function that returns
// factorial of n
int fact(int n)
{
    int res = 1;
    for (int i = 2; i <= n; i++)
        res = res * i;
    return res;
}
 
// Function for finding sum
// of all K length subsequences
int sumSubsequences(
    int arr[], int n, int k)
{
 
    int sum = 0;
 
    // Calculate the sum of array
    for (int i = 0; i < n; i++) {
        sum += arr[i];
    }
    int kLengthSubSequence;
 
    // Calculate nCk
    kLengthSubSequence = nCr(n, k);
 
    int ans
        = sum
          * ((k * kLengthSubSequence)
             / n);
 
    // Return the final result
    return ans;
}
 
// Driver code
int main()
{
 
    int arr[] = { 7, 8, 9, 2 };
 
    int K = 2;
 
    int n = sizeof(arr) / sizeof(arr[0]);
 
    cout << sumSubsequences(arr, n, K);
    return 0;
}

                    

Java

// Java implementation to find sum
// of all subsequences of length K
class GFG{
 
// Function to find nCr
static int nCr(int n, int r)
{
    return fact(n) / (fact(r) * fact(n - r));
}
 
// Function that returns
// factorial of n
static int fact(int n)
{
    int res = 1;
    for (int i = 2; i <= n; i++)
        res = res * i;
    return res;
}
 
// Function for finding sum
// of all K length subsequences
static int sumSubsequences(int arr[],
                           int n, int k)
{
    int sum = 0;
 
    // Calculate the sum of array
    for (int i = 0; i < n; i++)
    {
        sum += arr[i];
    }
    int kLengthSubSequence;
 
    // Calculate nCk
    kLengthSubSequence = nCr(n, k);
 
    int ans = sum * ((k * kLengthSubSequence) / n);
 
    // Return the final result
    return ans;
}
 
// Driver code
public static void main(String[] args)
{
    int arr[] = { 7, 8, 9, 2 };
 
    int K = 2;
 
    int n = arr.length;
 
    System.out.print(sumSubsequences(arr, n, K));
}
}
 
// This code contributed by Rajput-Ji

                    

Python3

# Python3 implementation to find sum
# of all subsequences of length K
 
# Function to find nCr
def nCr(n, r):
     
    return fact(n) / (fact(r) *
                      fact(n - r))
 
# Function that returns
# factorial of n
def fact(n):
     
    res = 1
    for i in range(2, n + 1):
        res = res * i
    return res
     
# Function for finding sum
# of all K length subsequences
def sumSubsequences(arr, n, k):
     
    sum = 0
     
    # Calculate the sum of array
    for i in range(0, n):
        sum = sum + arr[i]
     
    # Calculate nCk    
    kLengthSubSequence = nCr(n, k)
    ans = sum * ((k * kLengthSubSequence) / n);
     
    # Return the final result
    return ans
 
# Driver Code
arr = [ 7, 8, 9, 2 ]
k = 2
n = len(arr)
 
print(sumSubsequences(arr, n, k))
 
# This code is contributed by skylags   

                    

C#

// C# implementation to find sum
// of all subsequences of length K
using System;
 
class GFG{
     
// Function to find nCr
static int nCr(int n, int r)
{
    return fact(n) / (fact(r) * fact(n - r));
}
     
// Function that returns
// factorial of n
static int fact(int n)
{
    int res = 1;
     
    for(int i = 2; i <= n; i++)
       res = res * i;
    return res;
}
     
// Function for finding sum
// of all K length subsequences
static int sumSubsequences(int[] arr,
                           int n, int k)
{
    int sum = 0;
     
    // Calculate the sum of array
    for(int i = 0; i < n; i++)
    {
       sum += arr[i];
    }
     
    int kLengthSubSequence;
     
    // Calculate nCk
    kLengthSubSequence = nCr(n, k);
    int ans = sum * ((k * kLengthSubSequence) / n);
     
    // Return the final result
    return ans;
}
 
// Driver code
static void Main()
{
    int[] arr = { 7, 8, 9, 2 };
    int K = 2;
    int n = arr.Length;
         
    Console.Write(sumSubsequences(arr, n, K));
}
}
 
// This code is contributed by divyeshrabadiya07

                    

Javascript

<script>
 
// Javascript implementation to find sum
// of all subsequences of length K
 
// Function to find nCr
function nCr(n, r)
{
    return fact(n) / (fact(r) *
           fact(n - r));
}
 
// Function that returns
// factorial of n
function fact(n)
{
    var res = 1;
    for(var i = 2; i <= n; i++)
        res = res * i;
         
    return res;
}
 
// Function for finding sum
// of all K length subsequences
function sumSubsequences(arr, n, k)
{
    var sum = 0;
 
    // Calculate the sum of array
    for(var i = 0; i < n; i++)
    {
        sum += arr[i];
    }
    var kLengthSubSequence;
 
    // Calculate nCk
    kLengthSubSequence = nCr(n, k);
 
    var ans = sum * ((k *
              kLengthSubSequence) / n);
 
    // Return the final result
    return ans;
}
 
// Driver code
var arr = [ 7, 8, 9, 2 ];
var K = 2;
var n = arr.length;
 
document.write(sumSubsequences(arr, n, K));
 
// This code is contributed by noob2000
 
</script>

                    

Output: 
78

 

Time complexity: O(n),the time complexity of this algorithm is O(n) where n is the length of the array. We use a single loop to iterate over the given array and calculate the sum.
Auxiliary Space complexity: O(1),the space complexity of this algorithm is O(1) as we are not using any extra space.



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