Backtracking Algorithm | Introduction To Backtracking | Data Structures & Algorithms | Simplilearn
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This video gives an introduction to backtracking that could help you prepare for competitive programming. This backtracking algorithm tutorial aims to help learn data structures and algorithms.
This video will cover the following concepts:
00:00 Introduction to Backtracking Algorithm
00:41 What is Backtracking Algorithm
01:16 N queens Problem using Backtracking Algorithm
02:18 Implementation of N Queens Problem using Backtracking Algorithm
21:24 Conclusion of Backtracking Algorithm
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What is Backtracking?
Backtracking is an algorithmic approach to solving a problem in a different way. To illustrate the issues, it uses a recursive method. To solve an optimization problem, we might state that backtracking is required.
Why Is Data Structure 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 per cent 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 are 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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