How to Solve Kth Largest Element in a Stream Leetcode Problem - Interview Coder Guide
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How to Solve Kth Largest Element in a Stream Problem

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Easy#789
LeetCode Problem

Kth Largest Element in a Stream

You are part of a university admissions office and need to keep track of the kth highest test score from applicants in real-time. This helps to determine cut-off marks for interviews and admissions dy...

TreeDesignBinary Search Tree+3 more

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Problem Breakdown

Understanding the Kth Largest Element in a Stream Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

You are part of a university admissions office and need to keep track of the kth highest test score from applicants in real-time. This helps to determine cut-off marks for interviews and admissions dynamically as new applicants submit their scores. You are tasked to implement a class which, for a given integer k, maintains a stream of test scores and continuously returns the kth highest test score after a new score has been submitted. More specifically, we are looking for the kth highest score in the sorted list of all scores. Implement the KthLargest class: KthLargest(int k, int[] nums) Initializes the object with the integer k and the stream of test scores nums. int add(int val) Adds a new test score val to the stream and returns the element representing the kth largest element in the pool of test scores so far.

EasyProblem #789
LeetCode

Kth Largest Element in a Stream

Related Topics
TreeDesignBinary Search TreeHeap (Priority Queue)Binary TreeData Stream
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Examples

Example 1
INPUT
Example input
OUTPUT
[null, 4, 5, 5, 8, 8]
EXPLANATION

KthLargest kthLargest = new KthLargest(3, [4, 5, 8, 2]); kthLargest.add(3); // return 4 kthLargest.add(5); // return 5 kthLargest.add(10); // return 5 kthLargest.add(9); // return 8 kthLargest.add(4); // return 8

Example 2
INPUT
Example input
OUTPUT
[null, 7, 7, 7, 8]
EXPLANATION

KthLargest kthLargest = new KthLargest(4, [7, 7, 7, 7, 8, 3]); kthLargest.add(2); // return 7 kthLargest.add(10); // return 7 kthLargest.add(9); // return 7 kthLargest.add(9); // return 8

Constraints

0 <= nums.length <= 104
1 <= k <= nums.length + 1
104 <= nums[i] <= 104
104 <= val <= 104
At most 104 calls will be made to add.

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