LeetCode 2044: Count Number of Maximum Bitwise-OR Subsets Solution
Master LeetCode problem 2044 (Count Number of Maximum Bitwise-OR Subsets), a medium challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.
2044. Count Number of Maximum Bitwise-OR Subsets
Problem Explanation
Explanation
To solve this problem, we can iterate through all possible subsets of the given array nums. For each subset, we calculate its bitwise OR value and keep track of the maximum bitwise OR value seen so far. Additionally, we count the number of subsets that have this maximum bitwise OR value.
We can use bitwise operations to efficiently calculate the bitwise OR value of a subset. We start by initializing the maximum OR value and the count of subsets with this value to 0. Then, we iterate through all possible subsets using bit manipulation techniques.
Algorithm:
- Initialize
maxOrto 0 andmaxOrCountto 0. - Iterate
ifrom 0 to 2^n - 1, where n is the length ofnums. - For each
i, iterate through the elements ofnumsand calculate the bitwise OR value of the subset based on the bits ofi. - If the calculated bitwise OR value is greater than
maxOr, updatemaxOrand resetmaxOrCountto 1. - If the calculated bitwise OR value is equal to
maxOr, incrementmaxOrCount. - Return
maxOrCount.
Time Complexity: O(2^n * n), where n is the length of nums.
Space Complexity: O(1)
Solution Code
class Solution {
public int countMaxOrSubsets(int[] nums) {
int maxOr = 0, maxOrCount = 0;
for (int i = 0; i < (1 << nums.length); i++) {
int currentOr = 0;
for (int j = 0; j < nums.length; j++) {
if ((i & (1 << j)) > 0) {
currentOr |= nums[j];
}
}
if (currentOr > maxOr) {
maxOr = currentOr;
maxOrCount = 1;
} else if (currentOr == maxOr) {
maxOrCount++;
}
}
return maxOrCount;
}
}Try It Yourself
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