In Part 2 of the Merge Sort series, we finally code Merge Sort from scratch in Java and deeply understand why its time complexity is O(n log n).
We cover:
• Full live coding of Merge Sort
• mergeSort() and merge() functions
• Recursion flow
• left pointer, right pointer & temp array
• Time Complexity explained visually
• Space Complexity intuition
• Dry run of the algorithm
If recursion or Merge Sort ever felt confusing, this series is made for you.
Language: Java
Topic: DSA / Sorting Algorithms / Recursion
#MergeSort #DSA #Java #Recursion #SortingAlgorithms #Programming #Coding #DataStructures #Algorithms #Leetcode
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Merge Sort Deep Dive | Live Coding + Time Complexity Explained (Part 2) | NatokHD