Merge Sort visualized | Sorting algorithm | #programming #coding #python #dsa #placement #algorithm

Merge Sort is a popular sorting algorithm that follows the Divide and Conquer approach. It works as follows:

Divide: The unsorted list is divided into two equal parts repeatedly until each sublist contains only one element.

Conquer: After the list is divided into its smallest possible sublists, the merging phase begins. During merging, adjacent sublists are merged back together into a sorted list, ensuring that the elements are in the correct order.

Merge: During the merging phase, the two sublists are merged into a single sorted list. This is done by comparing the elements from each sublist and selecting the smaller (or larger, depending on the desired sorting order) element to place into the new sorted list.

Repeat: Steps 1 to 3 are repeated recursively until there is only one sorted list remaining, which is the sorted version of the original list.

Merge Sort is efficient and has a time complexity of O(n log n) in the worst-case scenario, making it suitable for sorting large lists efficiently. However, it requires extra space for the merging phase, which can be a drawback when working with large datasets.

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