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This video is based on the Merge Sort Algorithm. This tutorial on Merge Sort Algorithm Explained the fundamental steps and Procedures to be followed to design, develop, implement the Merge Sort Algorithm. Merge Sort Algorithm is one of the important Sorting Algorithm in Data Structures. This Simplilearn Merge Sort Algorithm tutorial includes practical demonstration for providing a better learning experience.

The video covers the following topics.
00:00 Introduction to Merge Sort Algorithm
01:23 Divide and Conquer algorithm in Merge Sort Algorithm
02:33 Defining merge sort algorithm
03:23 How does merge sort algorithm work
06:43 Pseudocode of merge sort algorithm
07:26 Complexity of merge sort algorithm
09:06 Applications of merge sort algorithm
09:37 Drawbacks of merge sort algorithm

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What is Merge Sort Algorithm?
Merge Sort is one of the most efficient Sorting Algorithms. It is based on the divide-and-conquer strategy. Merge sort continuously cuts down a list into numerous sublists until each sublist contains only one entry, then merges those sublists into a sorted list.

Divide-and-conquer recursively solves subproblems; each subproblem must be smaller than the original problem, and each must have a base case. A divide-and-conquer algorithm has three parts:

Divide up the problem into a lot of smaller pieces of the same problem.
Conquer the subproblems by recursively solving them. Solve the subproblems as base cases if they're small enough.
To find the solutions to the original problem, combine the solutions of the subproblems.

Why are Data Structures Important?
The digital world processes an increasing amount of data every year. According to Forbes, there are 2.5 quintillion bytes of data generated daily. The world created over 90 percent of the existing data in 2018 in the previous two years! The Internet of Things (IoT) is responsible for a significant part of this data explosion. Data structures are necessary to manage the massive amounts of generated data and a critical factor in boosting algorithm efficiency. Finally, since nearly all software applications use data structures and algorithms, your education path needs to include learning data structure and algorithms if you want a career as a data scientist or programmer. Interviewers want qualified candidates who understand how to use data structures and algorithms, so the more you know about the concepts, the more comfortably and confidently you will answer data structure interview questions.

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