Merge sort is a popular sorting algorithm known for its efficiency and stability. It follows the Divide and Conquer approach. It works by recursively dividing the input array into two halves, recursively sorting the two halves and finally merging them back together to obtain the sorted array. Here's a step-by-step explanation of how merge sort ... Learn how Merge Sort works by dividing and merging subarrays to sort large datasets. See the algorithm steps, a detailed example, and the time and space complexities of this comparison-based sorting algorithm . In computer science, merge sort (also commonly spelled as mergesort and as merge- sort [2]) is an efficient, general-purpose, and comparison-based sorting algorithm . Most implementations of merge sort are stable, which means that the relative order of equal elements is the same between the input and output. Merge sort is a divide-and-conquer algorithm that was invented by John von Neumann in 1945. [3] A detailed description and analysis of bottom-up merge sort appeared in a report by Goldstine ... Merge sort is a divide-and-conquer algorithm based on the idea of breaking down a list into several sub-lists until each sublist consists of a single element and merging those sublists in a manner that results into a sorted list.
