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

Описание: 🎯 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)...  

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👍 LIKE if you love divide & conquer!
💬 COMMENT which approach you prefer - pairwise merge or heap?

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📚 MY LEETCODE JOURNEY PLAYLIST:
   • Leetcode  

🤝 CONNECT WITH ME:
• GitHub: https://github.com/ashwinikemshetty
• LinkedIn:   / ashwinikemshetty  

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