LeetCode 23: Merge K Sorted Lists (Hard) | Pairwise Merge Approach | Day 36 скачать в хорошем качестве

LeetCode 23: Merge K Sorted Lists (Hard) | Pairwise Merge Approach | Day 36

🎯 Day 36 of My LeetCode Journey | Merge K Sorted Lists (LeetCode 23) In this video, I solve LeetCode Problem #23 - Merge K Sorted Lists in JavaScript! This is a HARD-level problem that builds on Day 28's Merge Two Sorted Lists. I use the Divide & Conquer approach - merging lists pairwise until we have one final sorted list! 🔗 Problem Link: https://leetcode.com/problems/merge-k... 📌 PROBLEM DESCRIPTION: You are given an array of k linked-lists lists, each linked-list is sorted in ascending order. Merge all the linked-lists into one sorted linked-list and return it. Example 1: Input: lists = [[1,4,5],[1,3,4],[2,6]] Output: [1,1,2,3,4,4,5,6] Explanation: The linked-lists are: [ 1→4→5, 1→3→4, 2→6 ] Merging them into one sorted list: 1→1→2→3→4→4→5→6 Example 2: Input: lists = [] Output: [] Example 3: Input: lists = [[]] Output: [] 💡 KEY CONCEPTS COVERED: ✅ Divide & Conquer Strategy ✅ Pairwise Merging ✅ Reusing mergeTwoLists from Day 28 ✅ Logarithmic Reduction Pattern ✅ Space-Time Tradeoff 📊 COMPLEXITY: • Time Complexity: O(n log k) where n = total nodes, k = number of lists • Space Complexity: (log k) 🎓 DIFFICULTY: Hard 🔴 🏷️ TOPICS: Linked List, Divide and Conquer, Heap, Merge Sort 🔗 RELATED VIDEOS: • Day 28: Merge Two Sorted Lists (Foundation!) -    • LeetCode 21: Merge Two Sorted Lists (Easy)...   🔔 SUBSCRIBE for daily LeetCode solutions in JavaScript! 👍 LIKE if you love divide & conquer! 💬 COMMENT which approach you prefer - pairwise merge or heap? --- 📚 MY LEETCODE JOURNEY PLAYLIST:    • Leetcode   🤝 CONNECT WITH ME: • GitHub: https://github.com/ashwinikemshetty • LinkedIn:   / ashwinikemshetty   --- #LeetCode #MergeKSortedLists #LeetCode23 #Day36 #JavaScript #DivideAndConquer #HardProblem #LinkedList #CodingInterview #FAANG #TechInterview #SoftwareEngineering #AlgorithmExplained #100DaysOfCode #JavaScriptTutorial