DSA Day 39 / 100 - Merge Sort Algorithm Explained | Efficient Sorting

DSA Day 39/100 – Master Merge Sort!

Today’s focus is on Merge Sort, one of the most powerful and efficient sorting algorithms using the Divide and Conquer approach. 💥

🔍 Concept:

Split the array into halves

Sort each half recursively

Merge them back together in sorted order

🧪 Example:
Input: [5, 1, 4, 2, 3]
Output: [1, 2, 3, 4, 5]
⏱️ Time & Space Complexity

Time: O(n log n) (all cases)

Space: O(n) (uses auxiliary arrays)

🚀 You’ll learn:

Why merge sort is better than bubble/insertion sort for large datasets
Real-world use cases of merge sort

🔗 Problem Link: https://www.geeksforgeeks.org/problems/merge-sort/1
💬 Try sorting [10, 3, 7, 2, 6] and comment your result!
📌 Don’t forget to like, share & subscribe for more DSA content 💻

#MergeSort #SortingAlgorithms #DSADay39 #DivideAndConquer #100DaysOfCode #DSAChallenge

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