Count set bits in Bitwise XOR of all adjacent elements upto N
Last Updated :
10 Jun, 2021
Given a positive integer N, the task is to find the total count of set bits by performing Bitwise XOR on all possible adjacent elements in the range [0, N].
Examples:
Input: N = 4
Output: 7
Explanation:
Bitwise XOR of 0 and 1 = 001 and count of set bits = 1
Bitwise XOR of 1 and 2 = 011 and count of set bits = 2
Bitwise XOR of 2 and 3 = 001 and count of set bits = 1
Bitwise XOR of 3 and 4 = 111 and count of set bits = 3
Therefore, the total count of set bits by performing the XOR operation on all possible adjacent elements of the range [0, N] = (1 + 2 + 1 + 3) = 7
Input: N = 7
Output: 11
Naive Approach: The simplest approach to solve this problem is to iterate over the range [0, N] and count all possible set bits by performing Bitwise XOR on each adjacent element over the range [0, N]. Finally, print the total count of all possible set bits.
Time Complexity: O(N * log2N)
Auxiliary Space: O(1)
Efficient approach: To optimize the above approach, the idea is based on the following observations:
If the position of the rightmost set bit of X is K, then the count of set bits in (X ^ (X - 1)) must be K.
Follow the steps below to solve the problem:
- Initialize a variable, say bit_position to store all possible values of the right most bit over the range [0, N].
- Initialize a variable, say total_set_bits to store the sum of all possible set bits by performing the Bitwise XOR operation on all possible adjacent elements over the range [0, N].
- Iterate over the range [0, N] and Update N = N - (N + 1) / 2 and total_set_bits += ((N + 1) / 2 * bit_position).
- Finally, print the value of total_set_bits.
Below is the implementation of the above approach:
C++
// C++ program to implement
// the above approach
#include <bits/stdc++.h>
using namespace std;
// Function to count of set bits in Bitwise
// XOR of adjacent elements up to N
int countXORSetBitsAdjElemRange1_N(int N)
{
// Stores count of set bits by Bitwise
// XOR on adjacent elements of [0, N]
int total_set_bits = 0;
// Stores all possible values on
// right most set bit over [0, N]
int bit_Position = 1;
// Iterate over the range [0, N]
while (N) {
total_set_bits += ((N + 1) / 2
* bit_Position);
// Update N
N -= (N + 1) / 2;
// Update bit_Position
bit_Position++;
}
return total_set_bits;
}
// Driver Code
int main()
{
int N = 4;
cout << countXORSetBitsAdjElemRange1_N(N);
return 0;
}
Java
// Java program to implement
// the above approach
import java.io.*;
import java.util.*;
class GFG{
// Function to count of set bits in Bitwise
// XOR of adjacent elements up to N
static int countXORSetBitsAdjElemRange1_N(int N)
{
// Stores count of set bits by Bitwise
// XOR on adjacent elements of [0, N]
int total_set_bits = 0;
// Stores all possible values on
// right most set bit over [0, N]
int bit_Position = 1;
// Iterate over the range [0, N]
while (N != 0)
{
total_set_bits += ((N + 1) / 2 *
bit_Position);
// Update N
N -= (N + 1) / 2;
// Update bit_Position
bit_Position++;
}
return total_set_bits;
}
// Driver Code
public static void main(String[] args)
{
int N = 4;
System.out.println(countXORSetBitsAdjElemRange1_N(N));
}
}
// This code is contributed by susmitakundugoaldanga
Python3
# Python3 program to implement
# the above approach
# Function to count of set bits in Bitwise
# XOR of adjacent elements up to N
def countXORSetBitsAdjElemRange1_N(N):
# Stores count of set bits by Bitwise
# XOR on adjacent elements of [0, N]
total_set_bits = 0
# Stores all possible values on
# right most set bit over [0, N]
bit_Position = 1
# Iterate over the range [0, N]
while (N):
total_set_bits += ((N + 1) //
2 * bit_Position)
# Update N
N -= (N + 1) // 2
# Update bit_Position
bit_Position += 1
return total_set_bits
# Driver Code
if __name__ == '__main__':
N = 4
print(countXORSetBitsAdjElemRange1_N(N))
# This code is contributed by SURENDRA_GANGWAR
C#
// C# program to implement
// the above approach
using System;
class GFG{
// Function to count of set bits in Bitwise
// XOR of adjacent elements up to N
static int countXORSetBitsAdjElemRange1_N(int N)
{
// Stores count of set bits by Bitwise
// XOR on adjacent elements of [0, N]
int total_set_bits = 0;
// Stores all possible values on
// right most set bit over [0, N]
int bit_Position = 1;
// Iterate over the range [0, N]
while (N != 0)
{
total_set_bits += ((N + 1) / 2 *
bit_Position);
// Update N
N -= (N + 1) / 2;
// Update bit_Position
bit_Position++;
}
return total_set_bits;
}
// Driver Code
public static void Main()
{
int N = 4;
Console.Write(countXORSetBitsAdjElemRange1_N(N));
}
}
// This code is contributed by code_hunt
JavaScript
<script>
// Javascript program to implement
// the above approach
// Function to count of set bits in Bitwise
// XOR of adjacent elements up to N
function countXORSetBitsAdjElemRange1_N(N)
{
// Stores count of set bits by Bitwise
// XOR on adjacent elements of [0, N]
let total_set_bits = 0;
// Stores all possible values on
// right most set bit over [0, N]
let bit_Position = 1;
// Iterate over the range [0, N]
while (N) {
total_set_bits += (Math.floor((N + 1) / 2) * bit_Position);
// Update N
N -= Math.floor((N + 1) / 2);
// Update bit_Position
bit_Position++;
}
return total_set_bits;
}
// Driver Code
let N = 4;
document.write(countXORSetBitsAdjElemRange1_N(N));
// This code is contributed by _saurabh_jaiswal
</script>
Time complexity:O(Log2N)
Auxiliary Space: O(1)
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