Prime Number of Set Bits in Binary Representation - Bit Manipulation - Easy - LeetCode
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Prime Number of Set Bits in Binary Representation - Bit Manipulation - Easy - LeetCode

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  • 1The task is to count numbers in the range [L, R] with a prime number of set bits in binary representation.
  • 2The solution utilizes a HashSet to store prime numbers of set bits for efficient lookup.
  • 3The algorithm has a time complexity of O(n log m) and a space complexity of O(1).

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"The task is to count numbers in the range [L, R] with a prime number of set bits in binary representation."

Prime Number of Set Bits in Binary Representation - Bit Manipulation - Easy - LeetCode

Given two integers L and R, find the count of numbers in the range [L, R] (inclusive) having a prime number of set bits in their binary representation.

(Recall that the number of set bits an integer has is the number of 1s present when written in binary. For example, 21 written in binary is 10101 which has 3 set bits. Also, 1 is not a prime.)

Example 1:

Input: L = 6, R = 10 Output: 4 Explanation: 6 -> 110 (2 set bits, 2 is prime) 7 -> 111 (3 set bits, 3 is prime) 9 -> 1001 (2 set bits , 2 is prime) 10->1010 (2 set bits , 2 is prime) Example 2:

Input: L = 10, R = 15 Output: 5 Explanation: 10 -> 1010 (2 set bits, 2 is prime) 11 -> 1011 (3 set bits, 3 is prime) 12 -> 1100 (2 set bits, 2 is prime) 13 -> 1101 (3 set bits, 3 is prime) 14 -> 1110 (3 set bits, 3 is prime) 15 -> 1111 (4 set bits, 4 is not prime) Note:

L, R will be integers L <= R in the range [1, 10^6]. R - L will be at most 10000.

public class Solution {
 public int CountPrimeSetBits(int L, int R) {
 int count=0;
 
 var set = new HashSet<int>();
 set.Add(2);
 set.Add(3);
 set.Add(5);
 set.Add(7);
 set.Add(11);
 set.Add(13);
 set.Add(17);
 set.Add(19);
 set.Add(23);
 set.Add(29);
 set.Add(31);
 for(int i=L;i<=R;i++){
 int val = SetBitCount(i);
 if(set.Contains(val)){
 count++;
 }
 }
 
 return count;
 }
 
 private int SetBitCount(int num){
 int count=0;
 while(num!=0){
 count+= (num&1);
 num=num>>1;
 }
 return count;
 }
}

Time Complexity: O(nlogm) Where n is the number of elements and m is the count of binary bits of the number.

Space Complexity: O(1)

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Published on 6 October 2020 · 1 min read · 285 words

Part of AskGif Blog · coding

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