Gauss Elimination With Partial Pivoting In Python | Numerical Methods

In this video we are going to be walking through how to implement the Gauss elimination iteration in python! In particular, we are going to be implementing gauss elimination with partial pivoting 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 gauss elimination with partial pivoting in python:
0:00 Introduction
0:20 Review of Gaussian Elimination
1:45 How to implement Gaussian Elimination In Python
11:39 Outro

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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..
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