LeetCode 703: Kth Largest Element in a Stream Solution

Master LeetCode problem 703 (Kth Largest Element in a Stream), a easy 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.

703. Kth Largest Element in a Stream

Easy

Tree Design Binary Search Tree Heap (Priority Queue)Binary Tree Data Stream

Problem Explanation

Explanation

To solve this problem, we can use a Min Heap to store the kth largest elements. We will maintain the size of the heap as k, and whenever a new element is added to the stream, we compare it with the root of the heap. If the new element is greater than the root, we remove the root and add the new element to the heap. This way, the heap will always contain the kth largest elements, and the root will be the kth largest element in the stream. Solution

Solution Code

import java.util.PriorityQueue;

class KthLargest {
    private PriorityQueue<Integer> minHeap;
    private int k;

    public KthLargest(int k, int[] nums) {
        this.k = k;
        minHeap = new PriorityQueue<>(k);
        for (int num : nums) {
            add(num);
        }
    }

    public int add(int val) {
        if (minHeap.size() < k) {
            minHeap.offer(val);
        } else if (val > minHeap.peek()) {
            minHeap.poll();
            minHeap.offer(val);
        }
        return minHeap.peek();
    }
}

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