LeetCode 1988: Find Cutoff Score for Each School Solution

Master LeetCode problem 1988 (Find Cutoff Score for Each School), 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.

1988. Find Cutoff Score for Each School

Medium

Database

Problem Explanation

Explanation:

To solve this problem, we can iterate through each student's score for each school and find the cutoff score for that school. The cutoff score for a school is the score that separates the top K students from the rest. We can use a priority queue to keep track of the top K scores for each school.

Here are the steps:

Initialize a hashmap to store the scores for each school.
Iterate through each student's score and update the hashmap.
For each school, use a priority queue to keep track of the top K scores.
Find the cutoff score for each school by extracting the Kth element from the priority queue.

The time complexity of this approach is O(NlogK), where N is the total number of students and K is the number of top scores we want to consider. The space complexity is O(N) to store the scores for each school.

Solution Code

import java.util.*;

class Solution {
    public int[] findCutoffScores(int[] scores, int[] schools, int k) {
        HashMap<Integer, PriorityQueue<Integer>> schoolScores = new HashMap<>();
        
        for (int i = 0; i < scores.length; i++) {
            int school = schools[i];
            int score = scores[i];
            
            schoolScores.putIfAbsent(school, new PriorityQueue<>(Collections.reverseOrder()));
            schoolScores.get(school).offer(score);
        }
        
        int[] cutoffScores = new int[schoolScores.size()];
        int index = 0;
        
        for (int school : schoolScores.keySet()) {
            PriorityQueue<Integer> pq = schoolScores.get(school);
            
            while (pq.size() > k) {
                pq.poll();
            }
            
            cutoffScores[index++] = pq.peek();
        }
        
        return cutoffScores;
    }
}

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