Amazing stuff once again! Thanks for all the work you do. Your videos are great for refreshing my memory on the undergraduate physics course material while keeping me lured in with amazing tutorials on how to actually solve/model these problems in Python. I think we need more of this kind of teaching in universities! Everytime you post a video, I get this feeling that I have to watch it or I will be missing out.
Well done son. Reckon you should model photons spatial distribution when carrying orbital angular momentum (quadro and octopole atomic transitions and that)
Truly amazing lesson this is, as are your other videos! I could learn this method and apply to the case of a field cage, as is used in time projection chambers.
Great video tutorials! I wish your channel was around when I was doing my PhD, it would definitely have saved me a lot of time. Also nice setup at the end of your video for introducing multi grid methods, are you planning a short follow-up on that?
Great Video, as always! Could you please make a video of Navier-Stokes eqn. solution for some simple case with some turbulent flow algebraic approximation? May be von-Karman sheets for 2D case?
There is a small issue, the laplace/averaging function will give different results depending on the resolution/number of points. So increasing N has an effect on the potential. How can I fix that?
There is no difference, bruh. There isn't such a thing as a Jupyter code. It is either Python-, Julia- or R-coded. Just copy and paste it in a Jupyter notebook, it will work fine ^^V PS.: I managed even to use a computational algebra program called Cadabra (written in C/C++) inside it.
I remember this stuff from university from years ago. Needed a good refresher. This was better than perfect.
Amazing stuff once again! Thanks for all the work you do. Your videos are great for refreshing my memory on the undergraduate physics course material while keeping me lured in with amazing tutorials on how to actually solve/model these problems in Python. I think we need more of this kind of teaching in universities! Everytime you post a video, I get this feeling that I have to watch it or I will be missing out.
Dirichlet (dir-i-klay)
Neumann (Noi-man)
Euler (oi-ler)
Dude, this channel is totally underrated. Great work!!!
I've been waiting for this!!
You rock!
Well done son.
Reckon you should model photons spatial distribution when carrying orbital angular momentum (quadro and octopole atomic transitions and that)
Truly amazing lesson this is, as are your other videos! I could learn this method and apply to the case of a field cage, as is used in time projection chambers.
Great video tutorials! I wish your channel was around when I was doing my PhD, it would definitely have saved me a lot of time. Also nice setup at the end of your video for introducing multi grid methods, are you planning a short follow-up on that?
such a beautiful contour plot
You should do a strong field approximation vid
Thank you so much for this awesome Python content! 😍
Great Video, as always!
Could you please make a video of Navier-Stokes eqn. solution for some simple case with some turbulent flow algebraic approximation?
May be von-Karman sheets for 2D case?
I would appreciate it as well lol
Amazing work! Thanks a lot. You deserve much more subscribers.
It would be really helpful if you add chapters to the video
Nice video!!. How you calculate the electric field once you solve the potential?
Could you make a video explaining how to graph the electric field?How is the gradient of a matrix calculated? Thank
will you do tutorials in different coordinate systems? for instance we may want to solve for prescribed potentials on spherical surfaces?
Dude you gave me the inspiration thanks!
Oh shit we upgraded to 4k quality, nice
I had to have one of my students in a graduate class tell me it was dee·ruhsh·lay (Dirichlet).
Interesting... Guess this is what I'm going with for now on!
Thank you, your videos are really useful!
Hi, is there an easy way to represent the electric vector field in the contour graph??
So nice, man!
I guess this method of solving boundary condition differential equations used is the relaxation method, right?
Exactly!
awesome video! Thank you!
There is a small issue, the laplace/averaging function will give different results depending on the resolution/number of points. So increasing N has an effect on the potential. How can I fix that?
It shouldn't have that effect. Is that something you programmed and noticed?
Very nice 👌🏼
always great, shortminded as i am cam i find the notes on github?
Ya, link is in the description!
Schrodinger died in 1961!
How can l transform his code to a jupyter code?
There is no difference, bruh. There isn't such a thing as a Jupyter code. It is either Python-, Julia- or R-coded. Just copy and paste it in a Jupyter notebook, it will work fine ^^V
PS.: I managed even to use a computational algebra program called Cadabra (written in C/C++) inside it.
14:35
Pronounced DUR-EE-SHLAY
Hey!! Mr. P solver can you make a video on PID controller
no intro music 😞
Thank God! \o/
@Del Squared - دل تربيع Some people enjoy, others can skip, you know ;)
@@alexplyushch7297, sorry, man xD
I just wouldn't let the opportunity go, you know?
I'll be back, don't worry 😉
TL;DW