Calculate the inverse of a matrix using Numpy

[@sk45293]

This type of short video about 1-2 topics is really helpful. Easy to find the info needed. Thanks!

[@noahrubin375]

Clear and straight to the point. Thank you!

[@cernejr]

Next time please also discuss numerical stability of the algorithm and rounding-error-creep. Those are important considerations when doing numerical computations using floating point numbers.

[@retinapeg1846]

Totally agree, especially in what I do in trading.

[@Singularitarian]

But note that in practice you almost never want to compute the inverse of a matrix explicitly. This is one of the important lessons of numerical linear algebra. For example, when solving Ax = b, you'd typically compute the LU factorization of A (or perhaps the QR factorization of A) rather than explicitly computing the inverse of A. When changing basis from the standard basis to the basis consisting of the columns of a matrix Q, we are given a vector x and we need to compute y = Q^{-1} x. But the best way to do that is to solve the system Qy = x. To solve that system, you would not compute the inverse of Q explicitly.

[@retinapeg1846]

Why are the off diagonals non-zero of np.matmul(M,Minv)? Is this due to the underlying precision of the C code running under the hood of numpy?

[@TopicsInControlSystems]

I don't think it's C related. It is the fact the MCU will be operating with 32-bit or 64-bit resolution.

[@williamgomez6087]

Very usefull beacuse im taking linera algebra in university and im looking for tools to help me out in everytnhing im learning

[@adilmajeed8439]

Please share the vendor name for the desk

[@chiragcs22]

Have my exam tomorrow . Now I'm Fully equipped Thanks

[@tomoki-v6o]

The matrix you used is the stiffness matrix of 4 springs connected in serries with stiffness of one

[@lucasreingo]

I was there when it was written

[@koramawin6134]

is there a way to represent that matrix in 2-decimal format?

[@owaisch3442]

is there a way to vectorize the inverse operation if we have two or more square matrices?

[@brianbaker4929]

I believe M @ Minv and M.dot(Minv) would also do the same matrix multiplication operation with 2D numpy arrays.

[@sukhamritsingh3420]

Wanted to ask how was your journey with Open University. I'm planning to do a bsc mathematics and statistics honours :) for data science. Would love your opinion if it's a good choice :)

[@seungsooim2183]

what about coding it from scratch?

[@8koi139]

I choked on my breakfast in the intro lol

[@SrNCJesus]

A multiplicação da matriz inversa pela matriz não deveria de resultar na matriz identidade? E não numa triangular superior...

[@yourfellowhumanbeing2323]

Wait, 0 views 35 likes

[@lucasreingo]

pog

[@anawsmperson]

Also 45 likes 😂😂

[@anawsmperson]

Lol 1view and 5comments