Problem Description
You are given a 0-indexed integer array nums
and an integer k
. Return an integer that denotes the sum of elements in nums
whose corresponding indices have exactly k
set bits in their binary representation. The set bits in an integer are the 1's present when it is written in binary.
Example 1:
Input: nums = [5,10,1,5,2], k = 1 Output: 13 Explanation: The binary representation of the indices are: 0 = 0002 1 = 0012 2 = 0102 3 = 0112 4 = 1002 Indices 1, 2, and 4 have k = 1 set bits in their binary representation. Hence, the answer is nums[1] + nums[2] + nums[4] = 13.
Example 2:
Input: nums = [4,3,2,1], k = 2 Output: 1 Explanation: The binary representation of the indices are: 0 = 002 1 = 012 2 = 102 3 = 112 Only index 3 has k = 2 set bits in its binary representation. Hence, the answer is nums[3] = 1.
Solution Code
class Solution {
public:
int getSetBits(int n){
int count = 0;
while(n > 0){
if(n & 1) count++;
n = n >> 1;
}
return count;
}
int sumIndicesWithKSetBits(vector& nums, int k) {
int sums = 0;
for(int i = 0 ; i < nums.size() ; i++){
if(getSetBits(i) == k){
sums+=nums[i];
}
}
return sums;
}
};
Solution Explanation
The problem involves calculating the sum of XOR totals for every subset of a given array. The solution follows these steps:
- Counting Set Bits: A helper function
getSetBits
counts the number of 1's in the binary representation of an integer. - Iterating Through Indices: For each index in the array, if the number of set bits matches k, its corresponding value is added to the sum.
- Time Complexity: This approach runs in O(n log m) time, where n is the number of elements in the array and m is the maximum value of indices, due to bitwise operations.