Count Set Bits Brian Kernighan Algorithm in DSA Java - Build from Scratch

Count Set Bits using Brian Kernighan Algorithm

📖 Scenario: You are working on a simple program that counts how many bits are set to 1 in a number's binary form. This is useful in many areas like error detection and cryptography.

🎯 Goal: Build a Java program that uses Brian Kernighan's algorithm to count the number of set bits (1s) in a given integer.

📋 What You'll Learn

Create an integer variable named number with the value 29

Create an integer variable named count initialized to 0

Use a while loop that runs while number is greater than 0

Inside the loop, update number using number = number & (number - 1)

Increment count by 1 inside the loop

Print the value of count after the loop ends

💡 Why This Matters

🌍 Real World

Counting set bits is used in network masks, cryptography, and error detection systems.

💼 Career

Understanding bitwise operations and efficient algorithms is important for software engineers working with low-level data processing.

1

Create the number variable

Create an integer variable called number and set it to 29.

DSA Java

// Your code here

Hint

Use int number = 29; inside the main method.

2

Initialize the count variable

Add an integer variable called count and set it to 0 inside the main method, after number.

DSA Java

public class Main {
    public static void main(String[] args) {
        int number = 29;
        // Your code here
    }
}

Hint

Use int count = 0; to start counting from zero.

3

Implement Brian Kernighan's loop

Use a while loop that runs while number > 0. Inside the loop, update number with number = number & (number - 1) and increase count by 1.

DSA Java

public class Main {
    public static void main(String[] args) {
        int number = 29;
        int count = 0;
        // Your code here
    }
}

Hint

The loop keeps removing the rightmost set bit until number becomes zero.

4

Print the count of set bits

Print the value of count using System.out.println(count); after the while loop.

DSA Java

public class Main {
    public static void main(String[] args) {
        int number = 29;
        int count = 0;
        while (number > 0) {
            number = number & (number - 1);
            count++;
        }
        // Your code here
    }
}

Hint

The number 29 in binary is 11101, which has 4 set bits.

Practice

1. What does the Brian Kernighan algorithm do when counting set bits in an integer?

easy

A. It counts the total number of digits in the integer

B. It converts the number to binary string and counts '0's

C. It shifts the bits to the right without changing the number

D. It repeatedly clears the least significant set bit until the number becomes zero

Solution

1. Step 1: Understand the algorithm's main operation

   The Brian Kernighan algorithm works by clearing the least significant set bit in each iteration.

2. Step 2: Effect of clearing bits

   Each clearing reduces the number of set bits by one until the number becomes zero.

3. Final Answer:

   It repeatedly clears the least significant set bit until the number becomes zero -> Option D

4. Quick Check:

   Clearing bits one by one counts set bits [OK]

Hint: Clear least set bit repeatedly to count set bits [OK]

Common Mistakes:

• Counting total digits instead of set bits
• Shifting bits without counting
• Counting zeros instead of ones

2. Which of the following Java code snippets correctly implements the Brian Kernighan algorithm to count set bits?

easy

A. int count = 0; for(int i=0; i<32; i++) { if((n & (1 << i)) != 0) count++; }

B. int count = 0; while(n > 0) { n = n >> 1; count++; }

C. int count = 0; while(n > 0) { n = n & (n - 1); count++; }

D. int count = 0; while(n > 0) { n = n | (n - 1); count++; }

Solution

1. Step 1: Identify the correct bit clearing operation

   The Brian Kernighan algorithm uses n = n & (n - 1) to clear the least significant set bit.

2. Step 2: Verify the loop and count increment

   Loop runs while n > 0 and increments count each time a bit is cleared.

3. Final Answer:

   int count = 0; while(n > 0) { n = n & (n - 1); count++; } -> Option C

4. Quick Check:

   Use n = n & (n - 1) to clear bits [OK]

Hint: Use n = n & (n - 1) inside loop to count bits [OK]

Common Mistakes:

• Using right shift instead of bit clearing
• Using bitwise OR instead of AND
• Counting bits by checking each bit manually

3. What is the output of the following Java code snippet?

int n = 13; // binary 1101
int count = 0;
while (n > 0) {
  n = n & (n - 1);
  count++;
}
System.out.println(count);

medium

A. 2

B. 3

C. 4

D. 5

Solution

1. Step 1: Convert 13 to binary and count set bits

   13 in binary is 1101, which has three set bits (1,1,0,1).

2. Step 2: Apply Brian Kernighan algorithm iterations

   Each iteration clears one set bit: - Iteration 1: 1101 & 1100 = 1100 - Iteration 2: 1100 & 1011 = 1000 - Iteration 3: 1000 & 0111 = 0000 Loop runs 3 times, so count = 3.

3. Final Answer:

   3 -> Option B

4. Quick Check:

   Number of set bits in 13 = 3 [OK]

Hint: Count set bits in binary 1101 = 3 [OK]

Common Mistakes:

• Counting total bits instead of set bits
• Miscounting set bits in binary
• Confusing bitwise AND with OR

4. Identify the error in the following Java code that attempts to count set bits using Brian Kernighan's algorithm:

int countSetBits(int n) {
  int count = 0;
  while (n != 0) {
    n = n & (n + 1);
    count++;
  }
  return count;
}

medium

A. Using n + 1 instead of n - 1 in bit clearing step

B. Incorrect loop condition should be n > 0

C. Missing initialization of count variable

D. Using bitwise OR instead of AND

Solution

1. Step 1: Check the bit clearing operation

   The correct operation to clear the least significant set bit is n = n & (n - 1), not n & (n + 1).

2. Step 2: Effect of incorrect operation

   Using n + 1 does not clear the least significant set bit and leads to incorrect counting or infinite loop.

3. Final Answer:

   Using n + 1 instead of n - 1 in bit clearing step -> Option A

4. Quick Check:

   Use n & (n - 1) to clear bits [OK]

Hint: Always use n & (n - 1) to clear bits [OK]

Common Mistakes:

• Using n + 1 instead of n - 1
• Wrong loop condition causing infinite loop
• Confusing AND with OR operators

5. Given an array of integers, which Java method correctly uses Brian Kernighan's algorithm to return the total count of set bits in all elements?

int totalSetBits(int[] arr) {
  int total = 0;
  for (int num : arr) {
    while (num > 0) {
      num = num & (num - 1);
      total++;
    }
  }
  return total;
}

What is the output of totalSetBits(new int[]{3, 5, 7})?

hard

A. 7

B. 6

C. 8

D. 5

Solution

1. Step 1: Count set bits for each element

   3 (binary 11) has 2 set bits, 5 (binary 101) has 2 set bits, 7 (binary 111) has 3 set bits.

2. Step 2: Sum all set bits

   Total = 2 + 2 + 3 = 7.

3. Step 3: Verify code logic

   The code correctly counts set bits for each number and sums them in total.

4. Final Answer:

   7 -> Option A

5. Quick Check:

   Sum of set bits in 3,5,7 = 7 [OK]

Hint: Sum set bits of each number using Brian Kernighan [OK]

Common Mistakes:

• Miscounting set bits in numbers
• Adding counts incorrectly
• Using wrong bit clearing logic