Gaussian Elimination In Python

Gaussian Elimination In Python | Numerical Methods

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Күн бұрын

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
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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..

Пікірлер: 15

@user-vt5ht7vx2f Жыл бұрын

You have an error in your code. Namely in the backward substitution. I think it should look like for k in range(n-2, -1, -1): x[k] = augmented_matrix[k][n] for j in range(k+1, n): x[k] = x[k] - augmented_matrix[k][j] * x[j] x[k] = x[k] / augmented_matrix[k][k]

@banozz4793 Жыл бұрын

can you explain why? im a bit new to python

@user-vt9rz2me9j Жыл бұрын

@@banozz4793 It is not referred python it's concerned with Gauss elimination antilogarithm. During back substitution x[k] calculate as the last column of the augmented matrix minus the sum of all previously found x multiplied by the appropriate coefficient from the augmented matrix, and afterwords divided by a[k][k]. It is better to show by formulas than describe by words.

@StudySessionYT Жыл бұрын

Yes you are absolutely right, In my reference code that I created and in my "Gauss Elimination With Partial Pivoting" video I have exactly what you presented here, thank you. I will pin this as the top comment so that others will see your contribution.

@trind6473 6 ай бұрын

Sir, thanks for your video. By the way, do you want to use C++ for Gaussian Elimination in another video? Thanks

@Sidmenon123 Жыл бұрын

Your backwards substitution bit is wrong. Please check again

@StudySessionYT Жыл бұрын

Learn how to add partial pivoting to Gauss Elimination here: kzfaq.info/get/bejne/es-KY92E38DOYZs.html

@thelindayz2087 Жыл бұрын

It's sad there's such a big mistake in your code in the backward substitution.

@yashkaushik4992 Жыл бұрын

i believe you should add a link to copy the code so it is easier to follow and replicate. I am very new to coding and while I understand things, it all moves too fast for me to do it on my own. :)

@jameshopkins3541 Жыл бұрын

Dedicate a otra cosa Tal vez cocinar o modas o berlleza

@wuiege1128 Жыл бұрын

@noorj7782 Жыл бұрын

I think that your code is not inclusive . if the first number in the matrix (matrix[0][0]) is zero , while everything else is ok , your code would stop immediately and get out of the function due to the first condition in the while loop , even though, generally when we do it manually we would simply swap rows and continue with the process . therefore your code does not include the cases when mat[0][0] = 0 .

@maxlee4949 6 ай бұрын

Hi, how do I solve this issue?

@noorj7782 6 ай бұрын

I forgot about this code a long time ago I can’t help you at this point sorry

@klepachevskyi Ай бұрын

The answer's wrong, also mistakes in the code. That's sad you are misleading people. You must double/triple check before publishing. A lot of useless variables, => memory loss. For example variable j = I - 1 Is not used at all.