ดาวน์โหลด "Gaussian Elimination In Python | Numerical Methods"

In this video we are going to be walking through how to implement the Gaussian elimination method in python! We will go through a quick reminder of what Gaussian elimination is and how it works before we begin going through the code side. Gaussian elimination is the process of transforming a square system of linear equations into one of our special matrices, specifically an upper triangular matrix. Meaning we take our square linear systems of equations, we perform gauss elimination on them, which then allows us to easily solve the matrix. This timeline is meant to help you better understand How to implement Gaussian Elimination In Python: 0:00 Introduction 0:20 Review of Gaussian Elimination 1:45 How to implement Gaussian Elimination In Python 11:39 Outro Relevant Videos: Gauss Elimination Theory: https://www.youtube.com/watch?v=H4tJDuTdEqQ Gauss Elimination 2x2 Example: https://www.youtube.com/watch?v=1WqKxQu7vU4 Gauss Elimination 3x3 Example: https://www.youtube.com/watch?v=PCkLz5-vo3U Gauss Elimination 3x3 With Partial Pivoting Example: https://www.youtube.com/watch?v=hc1VMzVVtMg Gaussian Elimination With Partial Pivoting In Python: Coming Soon Relevant Numerical Methods Playlists: Numerical Methods Playlist: https://www.youtube.com/watch?v=F2NWYEOHIkc&list=PLDea8VeK4MUTOBXLpvx_WKtVrMkojEh52 Numerical Methods Examples Playlist: https://www.youtube.com/watch?v=UA7bzwCwHMI&list=PLDea8VeK4MUTxZGOTG-VNnW4T3TYwlEc9 Follow & Support StudySession: Channel Memberships: https://www.youtube.com/channel/UCaFHlSOg83nCUIHlFMlUhPw/join Email Us: [email protected] Twitter: https://twitter.com/StudySessionYT Instagram: https://instagram.com/StudySessionyt/ This video is part of our Numerical Methods course. Numerical methods is about solving math problems through approximating the solution of problems that would be difficult or impossible to solve analytically. In this playlist we will cover topics such as solving systems of linear equations, solving systems of non-linear equations, numerical integration, numerical derivatives, etc..