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Merge Sort Deep Dive | Live Coding + Time Complexity Explained (Part 2)

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May 9, 2026
11:43

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