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1
Intro
2
What is an Algorithm?
3
What is an Algorithmic Analysis?
4
Algorithmic Analysis - Types
5
What is Binary Search?
6
Binary Search - Iterative Algorithm
7
Binary Search - Demonstration
8
Binary Search - Implementation 1
9
What is Quick Sort?
10
Quick Sort - Algorithm
11
Quick Sort - Demonstration
12
Merge Sort - Demonstration
13
Merge - Demonstration
Description:
Dive into a comprehensive one-hour session on Divide & Conquer Algorithms, exploring the fundamental concept and its practical applications. Begin with an introduction to the divide and conquer paradigm, understanding its core steps: divide, conquer, and combine. Explore Binary Search in-depth, including its concept, algorithm, implementation, and complexity analysis. Progress to Quick Sort and Merge Sort algorithms, examining their concepts, demonstrations, implementations, and time and space complexities. Gain hands-on experience through demonstrations and implementations, enhancing your understanding of how these algorithms exemplify the divide and conquer model. Suitable for those seeking to strengthen their algorithmic problem-solving skills in data science, software development, and related fields.

Learn Divide & Conquer Algorithms - Great Learning

Great Learning
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