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Divide and Conquer Algorithms

Name: Divide and Conquer Algorithms
Rating: 4.59 (461 reviews)

Instructor:

Mr. Faizan Parvez

4.59

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1.5 Hrs

Learning hours

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Divide and Conquer Algorithms

1.5 Learning Hours . Beginner

Skills you’ll Learn

Divide and Conquer Algorithms

About this course

In this course, we’ll start by understanding the concept of divide and conquer, i.e., how a problem can be divided into two or more sub-problems of the same type. We will also look at why it’s required and the different steps involved in it: divide, conquer and combine. The first type of algorithm that we’ll look into is Binary Search. We’ll understand the concept of Binary Search, post which we will understand the algorithm along with a demonstration, its implementation and time & space complexity, and then understand how this algorithm falls under the divide and conquer paradigm. Following this, we will also learn about Quick Sort and Merge Sort algorithms. We will understand their concepts, algorithm, demonstration, implementation, time complexity, space complexity and then understand how these algorithms also fall under the divide and conquer model.

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Course Outline

Introduction To Algorithm

This module introduces you to the algorithm and its role in coding.

What is Binary Search?

Binary Search Iterative Algorithm

Binary Search Demostration

What is Quick Sort?

Our course instructor

Mr. Faizan Parvez

1.6M+ Learners

72 Courses

Faizan has been working as an Instructor of Data Structure and Algorithm for the last 1 year. He has expertise in languages such as Java , JavaScript etc. He is a Subject Matter Expert in the field Computer Science and a competitive programmer. He has been working in the technical content development and is a Research Analyst .

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Ratings & Reviews of this Course

Abhijit Patare

5.0

★★★★ ★

Divide and Conquer Algorithms Were Easy to Understand with This Course

Divide and Conquer Algorithms were easy to understand with this course. It helped me to understand how this algorithm functions.

Abhishek Das

5.0

★★★★ ★

Very Good Course and Very Engaging

Very good course and engaging. Recommended for all students who are learning this subject for the first time.

Earn a certificate of completion

Get free course content

Learn at your own pace

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Test your skills with quizzes

Divide and Conquer Algorithms

1.5 Learning Hours . Beginner

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enrol in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What is Divide and Conquer technique explained with examples?

The Divide and Conquer technique is an approach where we divide the problem to be solved into smaller sub-problems. These sub-problems are then solved independently. This continues where we divide the problem into smaller sub-problems, and at one point, we will then reach a stage where we don’t have to divide the problem anymore. Quicksort and Mergesort are the best examples of the Divide and Conquer approach.

Which algorithm uses Divide and Conquer?

The best examples of the Divide and Conquer algorithms are Quicksort and Mergesort. Compared to other sorting algorithms, these two algorithms have a better performance rate. FFT (Fast Fourier Transform) algorithm follows the Divide and Conquer method to achieve the O(N log N) execution time.

Why is Divide and Conquer faster?

The Divide and Conquer method is faster because it divides the bigger problem into smaller subproblems and then solves it independently. The main problem is divided until it can’t be further, and that is where we stop dividing and combine all these sub-problem solutions to get the required solution for the main problem.