Скачать с ютуб LeetCode 23: Hard Problem, Clean Solution | JavaScript Walkthrough в хорошем качестве

LeetCode 23: Hard Problem, Clean Solution | JavaScript Walkthrough

n this video, I walk through LeetCode 23: Merge K Sorted Lists using a Divide and Conquer approach in JavaScript. Instead of using a Min Heap, we iteratively merge pairs of linked lists until only one remains. This method achieves the same efficient time complexity as the heap-based solution — O(N log k) — without needing any additional data structures. If you're prepping for coding interviews and want a clean, readable way to solve this problem in JavaScript, this one's for you. What You'll Learn: ✅ How to merge two sorted linked lists ✅ How to scale that to K lists efficiently ✅ Why this method works like merge sort ✅ Time & space complexity breakdown Chapters: 0:00 - Problem Breakdown 1:55 - Explaining Thought Process 5:18 - Code Solution 👉 If this helped you, Like + Subscribe and tell me which hard-level problem to solve next in JavaScript! #leetcode #mergeksortedlists #javascript #minheap #priorityqueue #leetcode23 #hardleetcode #datastructures #codinginterview