Detailed tutorial on Merge Sort to improve your understanding of Algorithms. Also try practice problems to test & improve your skill level.

Interactive visualization of the Mergesort algorithm, provided by Virginia Tech.

Merge Sort is a sorting algorithm based on the Divide et Impera technique, like Quick Sort. It can be implemented iteratively or recursively, using the Top-Down and Bottom-Up algorithms respectively. We represented the first one. The algorithm divides the data structure recursively until the subsequences contain only one element.

Merge Sort is a Divide and Conquer sorting algorithm. The divide step is simple: Divide the current array into two halves (perfectly equal if N is even or one side is slightly greater by one element if N is odd) and then recursively sort the two halves.

A visualization of 15+ sorting algorithms, including Quick Sort, Merge Sort, Selection Sort and more!

Merge Sort is a divide-and-conquer sorting algorithm that splits the input list into two halves, recursively sorts each half, and then merges the sorted halves back together. This process continues until the entire list is sorted.

See how the Merge Sort algorithm divides and combines data step-by-step with visual aids that make learning this method simple and engaging.

In this article we will go through visualization and animation of various steps involved in merge sort algorithm. Merge sort algorithm contains 3 core steps: Divide: Split the array into two halves. Conquer: Recursively sort each half. Combine: Merge the sorted halves back together.

Merge sort is a recursive algorithm that continually splits a list in half. If the list is empty or has one item, it is sorted by definition (the base case). If the list has more than one item, we split the list and recursively invoke a merge sort on both halves.

In computer science, merge sort (also commonly spelled mergesort) is an efficient, general-purpose, comparison-based sorting algorithm. Most implementations produce a stable sort, which means that the implementation preserves the input order of equal elements in the sorted output.