NumPy.fft.rfft2 - real-valued spectral derivatives in 2D
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- Опубліковано 2 чер 2024
- How does the real-valued fast Fourier transformation work in two dimensions? The Fourier shape becomes a bit tricky when only one axis is halved, requiring special care when setting up the wavenumber array. Here is the notebook: github.com/Ceyron/machine-lea...
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Timestamps:
00:00 Intro
00:35 About the rfft
01:11 Recap Spectral Derivative in 2d
03:18 Blindly trying the rfft2
06:00 Modify wavenumber creation
07:29 Using correct wavenumber grid for real-valued spectral derivative
09:02 Outro
Excellent channel brother, very good classes! I have been involved in things about simulation of physical models for almost two decades (differential equations, thermodynamics, computational fluid dynamics, stochastic processes and recently into machine learning and financial models). I'll follow your content very closely and your github repository, subscribed.
Appreciate it. ❤️ Thanks a lot for support.
Thanks
Welcome 🤗
i see felix video ... i like felix video ;
love em , keep em coming
Haha :D thanks a lot for the continuous support 😊 much appreciated 🙏
Hi!!!
Fist of all, thank you very very much for giving these priceless tutorials!!!
I want to ask u something. Are you using Linux/Ubuntu currently and Pytorch? Or what OS and Code editor do you like the most?
Thank you again!!!!!!
Hi,
thanks a lot for the kind feedback :) Very much appreciated!
My personal machine uses Arch Linux, but I use Ubuntu at work. I almost exclusive use VS code (I can also recommend using GitHub Copilot). I do not use PyTorch, most of my work is in JAX which I believe to be the better choice for scientific machine learning.