LeetCode 3092: Most Frequent IDs Solution
Master LeetCode problem 3092 (Most Frequent IDs), 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.
3092. Most Frequent IDs
Problem Explanation
Explanation:
To solve this problem, we can simulate the process step by step. We can use a HashMap to keep track of the frequency of each ID as we iterate through the steps. We maintain a variable maxCount to keep track of the maximum frequency of any ID at each step. We update the maxCount whenever we encounter a frequency greater than the current maxCount.
Time Complexity:
The time complexity of this approach is O(n), where n is the length of the input arrays.
Space Complexity:
The space complexity is O(n) to store the HashMap.
:
Solution Code
class Solution {
public int[] mostFrequentIds(int[] nums, int[] freq) {
int n = nums.length;
int[] ans = new int[n];
Map<Integer, Integer> idFreq = new HashMap<>();
int maxCount = 0;
for (int i = 0; i < n; i++) {
idFreq.put(nums[i], idFreq.getOrDefault(nums[i], 0) + freq[i]);
maxCount = Math.max(maxCount, idFreq.get(nums[i]));
ans[i] = maxCount;
}
return ans;
}
}Try It Yourself
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