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LeetCode 215 – Kth Largest Element in an Array https://leetcode.com/problems/kth-largest-element-in-an-array/description/?envType=study-plan-v2&envId=leetcode-75 In this video, we solve the Kth Largest Element in an Array problem using an efficient Heap-based solution in C++. Problem summary: Given an integer array nums and an integer k, return the kth largest element in the array. Note: It’s the kth largest by order, not necessarily distinct. Examples: Input: nums = [3,2,1,5,6,4], k = 2 → Output: 5 Input: nums = [3,2,3,1,2,4,5,5,6], k = 4 → Output: 4 🎯 Concepts covered: Using min-heap to track the k largest elements Optimized approach without full sorting C++ implementation using priority_queue Time and space complexity analysis 💻 Time Complexity: O(n log k) 💻 Space Complexity: O(k) 🎥 Watch next: 👉 LeetCode 994 – Rotting Oranges (BFS in C++) https://youtu.be/bNt6VFXdThA 👉 LeetCode 75 Playlist – Explained in C++ https://www.youtube.com/playlist?list=PLF0G-7pZcOza_jyAxwMpa5KnK3vST5smK #leetcode #cplusplus #heap #priorityqueue #datastructures #codinginterview #lanacademy #algorithms #programming
