Given a positive integer N, the task is to calculate the sum of all integers from 1 to N but excluding the number which is a perfect power of 2.
Examples:
Input: N = 2
Output: 0
Input: N = 1000000000
Output: 499999998352516354
Naive Approach:
The naive approach is to iterate every number from 1 to N and compute the sum in the variable by excluding the number which is a perfect power of 2. But to compute the sum to the number 10^9, the above approach will give Time Limit Error.
Time Complexity: O(N)
Efficient Approach:
To find desired sum, below are the steps:
- Find the sum of all the number till N using the formula discussed in this article in O(1) time.
- Since sum of all perfect power of 2 forms a Geometric Progression. Hence the sum of all powers of 2 less than N is calculated by the below formula:
The number of element with perfect power of 2 less than N is given by log2N,
Let r = log2N
And the sum of all numbers which are perfect power of 2 is given by 2r - 1.
- Subtract the sum of all perfect powers of 2 calculated above from the sum of first N numbers to get the result.
Below is the implementation of the above approach:
// C++ implementation of the
// approach
#include <bits/stdc++.h>
using namespace std;
// Function to find the required
// summation
void findSum(int N)
{
// Find the sum of first N
// integers using the formula
int sum = (N) * (N + 1) / 2;
int r = log2(N) + 1;
// Find the sum of numbers
// which are exact power of
// 2 by using the formula
int expSum = pow(2, r) - 1;
// Print the final Sum
cout << sum - expSum << endl;
}
// Driver's Code
int main()
{
int N = 2;
// Function to find the
// sum
findSum(N);
return 0;
}
// Java implementation of the above approach
import java.lang.Math;
class GFG{
// Function to find the required
// summation
public static void findSum(int N)
{
// Find the sum of first N
// integers using the formula
int sum = (N) * (N + 1) / 2;
int r = (int)(Math.log(N) /
Math.log(2)) + 1;
// Find the sum of numbers
// which are exact power of
// 2 by using the formula
int expSum = (int)(Math.pow(2, r)) - 1;
// Print the final Sum
System.out.println(sum - expSum);
}
// Driver Code
public static void main(String[] args)
{
int N = 2;
// Function to find the sum
findSum(N);
}
}
// This code is contributed by divyeshrabadiya07
# Python 3 implementation of the
# approach
from math import log2,pow
# Function to find the required
# summation
def findSum(N):
# Find the sum of first N
# integers using the formula
sum = (N) * (N + 1) // 2
r = log2(N) + 1
# Find the sum of numbers
# which are exact power of
# 2 by using the formula
expSum = pow(2, r) - 1
# Print the final Sum
print(int(sum - expSum))
# Driver's Code
if __name__ == '__main__':
N = 2
# Function to find the
# sum
findSum(N)
# This code is contributed by Surendra_Gangwar
// C# implementation of the above approach
using System;
class GFG{
// Function to find the required
// summation
public static void findSum(int N)
{
// Find the sum of first N
// integers using the formula
int sum = (N) * (N + 1) / 2;
int r = (int)(Math.Log(N) /
Math.Log(2)) + 1;
// Find the sum of numbers
// which are exact power of
// 2 by using the formula
int expSum = (int)(Math.Pow(2, r)) - 1;
// Print the final Sum
Console.Write(sum - expSum);
}
// Driver Code
public static void Main(string[] args)
{
int N = 2;
// Function to find the sum
findSum(N);
}
}
// This code is contributed by rutvik_56
<script>
// Javascript implementation of the above approach
// Function to find the required
// summation
function findSum(N)
{
// Find the sum of first N
// integers using the formula
var sum = (N) * (N + 1) / 2;
var r = (Math.log(N) /
Math.log(2)) + 1;
// Find the sum of numbers
// which are exact power of
// 2 by using the formula
var expSum = (Math.pow(2, r)) - 1;
// Print the final Sum
document.write(sum - expSum);
}
// Driver code
var N = 2;
// Function to find the sum
findSum(N);
// This code is contributed by Kirti
</script>
Output:
0
Time Complexity: O(1)
Auxiliary Space: O(1)