Sum of all odd length subarrays
Last Updated :
15 Jul, 2025
Given an array arr[] consisting of N integers, the task is to find the sum of all the elements of all possible subarrays of odd length.
Examples:
Input: arr[] = {3, 2, 4}
Output: 18
Explanation:
The odd length subarrays along with their sum are as follows:
1) {3} = sum is 3.
2) {2} = sum is 2.
3) {4} = sum is 4.
4) {3, 2, 4} = sum is 3 + 2 + 4 = 9.
Therefore, sum of all subarrays = 3 + 2 + 4 + 9 = 18.
Input: arr[] = {1, 2, 1, 2}
Output: 15
Explanation:
The odd length subarrays along with their sum are as follows:
1) {1} = sum is 1.
2) {2} = sum is 2.
3) {1} = sum is 1.
4) {2} = sum is 2.
5) {1, 2, 1} = sum is 1 + 2 + 1 = 4.
6) {2, 1, 2} = sum is 2 + 1 + 2 = 5.
Therefore, sum of all subarrays = 1 + 2 + 1 + 2 + 4 + 5 = 15.
Naive Approach: The simplest approach is to generate all possible subarrays of odd length from the given array and find the sum of all such subarrays.
Below is the implementation of the above approach:
C++
// C++ program for the above approach
#include <bits/stdc++.h>
using namespace std;
// Function to calculate the sum
// of all odd length subarrays
int OddLengthSum(vector<int>& arr)
{
// Stores the sum
int sum = 0;
// Size of array
int l = arr.size();
// Traverse the array
for (int i = 0; i < l; i++) {
// Generate all subarray of
// odd length
for (int j = i; j < l; j += 2) {
for (int k = i; k <= j; k++) {
// Add the element to sum
sum += arr[k];
}
}
}
// Return the final sum
return sum;
}
// Driver Code
int main()
{
// Given array arr[]
vector<int> arr = { 1, 5, 3, 1, 2 };
// Function Call
cout << OddLengthSum(arr);
return 0;
}
Java
// Java program for the above approach
import java.io.*;
import java.util.Arrays;
class GFG{
// Function to calculate the sum
// of all odd length subarrays
static int OddLengthSum(int[] arr)
{
// Stores the sum
int sum = 0;
// Size of array
int l = arr.length;
// Traverse the array
for(int i = 0; i < l; i++)
{
// Generate all subarray of
// odd length
for(int j = i; j < l; j += 2)
{
for(int k = i; k <= j; k++)
{
// Add the element to sum
sum += arr[k];
}
}
}
// Return the final sum
return sum;
}
// Driver Code
public static void main (String[] args)
{
// Given array arr[]
int[] arr = { 1, 5, 3, 1, 2 };
// Function call
System.out.print(OddLengthSum(arr));
}
}
// This code is contributed by sanjoy_62
Python3
# Python3 program for the above approach
# Function to calculate the sum
# of all odd length subarrays
def OddLengthSum(arr):
# Stores the sum
sum = 0
# Size of array
l = len(arr)
# Traverse the array
for i in range(l):
# Generate all subarray of
# odd length
for j in range(i, l, 2):
for k in range(i, j + 1, 1):
# Add the element to sum
sum += arr[k]
# Return the final sum
return sum
# Driver Code
# Given array arr[]
arr = [ 1, 5, 3, 1, 2 ]
# Function call
print(OddLengthSum(arr))
# This code is contributed by sanjoy_62
C#
// C# program for the above approach
using System;
class GFG{
// Function to calculate the sum
// of all odd length subarrays
static int OddLengthSum(int[] arr)
{
// Stores the sum
int sum = 0;
// Size of array
int l = arr.Length;
// Traverse the array
for(int i = 0; i < l; i++)
{
// Generate all subarray of
// odd length
for(int j = i; j < l; j += 2)
{
for(int k = i; k <= j; k++)
{
// Add the element to sum
sum += arr[k];
}
}
}
// Return the final sum
return sum;
}
// Driver Code
public static void Main ()
{
// Given array arr[]
int[] arr = { 1, 5, 3, 1, 2 };
// Function call
Console.Write(OddLengthSum(arr));
}
}
// This code is contributed by sanjoy_62
JavaScript
<script>
// javascript program for the above approach
// Function to calculate the sum
// of all odd length subarrays
function OddLengthSum(arr)
{
// Stores the sum
var sum = 0;
// Size of array
var l = arr.length;
// Traverse the array
for(var i = 0; i < l; i++)
{
// Generate all subarray of
// odd length
for(var j = i; j < l; j += 2)
{
for(var k = i; k <= j; k++)
{
// Add the element to sum
sum += arr[k];
}
}
}
// Return the final sum
return sum;
}
// Driver Code
// Given array arr[]
var arr = [ 1, 5, 3, 1, 2 ]
// Function call
document.write(OddLengthSum(arr));
// This code is contributed by bunnyram19.
</script>
Time Complexity: O(N3)
Auxiliary Space: O(1)
Efficient Approach: To optimize the above approach, the idea is to observe the following pattern after generating all the subarrays of odd length:
- For any element at index idx there are (idx + 1) choices on the left side of it and (N - idx) choices on the right side of it.
- Therefore, for any element arr[i], the count of arr[i] is (i + 1) * (N - i) in all the subarrays.
- So, for an element arr[i], there are ((i + 1) * (N - i) + 1) / 2 sub-arrays with odd length.
- Finally, arr[i] will have a total of ((i + 1) * (n - i) + 1) / 2 frequency in the sum.
Therefore, to find the sum of all elements of all the subarrays of odd length, the idea is to iterate over the array and for every ith array element, add [((i + 1) * (n - i) + 1) / 2]*arr[i] to the sum.
Below is the implementation of the above approach:
C++
// C++ program for the above approach
#include <bits/stdc++.h>
using namespace std;
// Function that finds the sum of all
// the element of subarrays of odd length
int OddLengthSum(vector<int>& arr)
{
// Stores the sum
int sum = 0;
// Size of array
int l = arr.size();
// Traverse the given array arr[]
for (int i = 0; i < l; i++) {
// Add to the sum for each
// contribution of the arr[i]
sum += (((i + 1)
* (l - i)
+ 1)
/ 2)
* arr[i];
}
// Return the final sum
return sum;
}
// Driver Code
int main()
{
// Given array arr[]
vector<int> arr = { 1, 5, 3, 1, 2 };
// Function Call
cout << OddLengthSum(arr);
return 0;
}
Java
// Java program for the above approach
class GFG{
// Function that finds the sum of all
// the element of subarrays of odd length
static int OddLengthSum(int []arr)
{
// Stores the sum
int sum = 0;
// Size of array
int l = arr.length;
// Traverse the given array arr[]
for(int i = 0; i < l; i++)
{
// Add to the sum for each
// contribution of the arr[i]
sum += (((i + 1) * (l - i) +
1) / 2) * arr[i];
}
// Return the final sum
return sum;
}
// Driver Code
public static void main(String[] args)
{
// Given array arr[]
int []arr = { 1, 5, 3, 1, 2 };
// Function call
System.out.print(OddLengthSum(arr));
}
}
// This code is contributed by Amit Katiyar
Python3
# Python3 program for the above approach
# Function that finds the sum of all
# the element of subarrays of odd length
def OddLengthSum(arr):
# Stores the sum
Sum = 0
# Size of array
l = len(arr)
# Traverse the given array arr[]
for i in range(l):
# Add to the sum for each
# contribution of the arr[i]
Sum += ((((i + 1) *
(l - i) +
1) // 2) * arr[i])
# Return the final sum
return Sum
# Driver code
# Given array arr[]
arr = [ 1, 5, 3, 1, 2 ]
# Function call
print(OddLengthSum(arr))
# This code is contributed by divyeshrabadiya07
C#
// C# program for
// the above approach
using System;
class GFG{
// Function that finds the
// sum of all the element of
// subarrays of odd length
static int OddLengthSum(int []arr)
{
// Stores the sum
int sum = 0;
// Size of array
int l = arr.Length;
// Traverse the given array []arr
for(int i = 0; i < l; i++)
{
// Add to the sum for each
// contribution of the arr[i]
sum += (((i + 1) *
(l - i) + 1) / 2) * arr[i];
}
// Return the readonly sum
return sum;
}
// Driver Code
public static void Main(String[] args)
{
// Given array []arr
int []arr = {1, 5, 3, 1, 2};
// Function call
Console.Write(OddLengthSum(arr));
}
}
// This code is contributed by Rajput-Ji
JavaScript
<script>
// Javascript program to implement
// the above approach
// Function that finds the sum of all
// the element of subarrays of odd length
function OddLengthSum(arr)
{
// Stores the sum
let sum = 0;
// Size of array
let l = arr.length;
// Traverse the given array arr[]
for(let i = 0; i < l; i++)
{
// Add to the sum for each
// contribution of the arr[i]
sum += Math.floor(((i + 1) * (l - i) +
1) / 2) * arr[i];
}
// Return the final sum
return sum;
}
// Driver Code
// Given array arr[]
let arr = [ 1, 5, 3, 1, 2 ];
// Function call
document.write(OddLengthSum(arr));
// This code is contributed by target_2.
</script>
Time Complexity: O(N)
Auxiliary Space: O(1)
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