Lecture 19: SELECTION SORT Algorithm with Theory and Code

About this video

• Video Title: Lecture 19: SELECTION SORT Algorithm with Theory and Code
• Channel: Coder Army
• Speakers: [Not explicitly mentioned, but the transcript is in Hindi and delivered by a single narrator.]
• Duration: 00:48:22

Overview

This video explains the concept of sorting algorithms, focusing on Selection Sort. It covers what sorting is, its real-world applications, the logic behind Selection Sort with examples, its time and space complexity, and provides code implementations in C++ for both basic and dynamic array scenarios. The video also touches upon the limitations of Selection Sort for larger datasets and offers homework assignments to reinforce learning.

Key takeaways

• What is Sorting: Sorting is the process of arranging data in a specific order, either ascending or descending, to make it easier to search and manage.
• Real-world Sorting Examples: The video uses examples like arranging students by height for an assembly and organizing words in a dictionary to illustrate the practical utility of sorting.
• Selection Sort Logic: This algorithm works by repeatedly finding the minimum element from the unsorted part of the list and putting it at the beginning. This process is repeated for the remaining unsorted elements.
• Time and Space Complexity: Selection Sort has a time complexity of O(n^2) in the best, average, and worst cases, making it inefficient for large datasets. Its space complexity is O(1) (auxiliary space).
• Code Implementation: The video demonstrates how to implement Selection Sort in C++, covering both fixed-size arrays and dynamic arrays using vectors, and discusses its performance on online platforms like LeetCode.