Linear Systems and Sparse Matrices with Numpy and Scipy

[@saifk3034]

Brilliant. Extremely useful video - thanks

[@atchutram9894]

I appreciate your work. I think you should print your intermediate results (or a portion of large matrices) and help viewers understanding it well.

[@somteezle1348]

Thanks. I think you should create a playlist for numerical methods

[@mojtabasardarmehni453]

Good job, very good video. Thanks

[@radyoalmikyel6881]

i used this to find same result x = scipy.sparse.linalg.spsolve(A_sparse, y)

[@minma02262]

I want to like your videos more than once. Unfortunately I can't.

[@AJ-et3vf]

Thank you very much for this. Very helpful

[@chuckk4107]

Thanks

[@blazeraz7666]

Do sparse matrices support indexing 1

[@kpmooney]

Python indexes from zero. MATLAB /Octave indexes from one.

[@0mon0zz]

Good vid! But what about solving a system of non-linear equations that have large sparse matrices?

[@kpmooney]

fsolve can handle nonlinear equations. You can use sparse matrices, but I think internally, it coverts them to dense so I don't know if you'll get a speed increase using sparse.

[@AJ-et3vf]

SciPy's root function can use the Krylov method for large systems of linear or nonlinear equations.

[@hardikkharel3519]

I don't have juypter notebook so whaaat?

[@kpmooney]

Jupyter is free. Or just copy and paste the code into a text editor.