Differentiation in N Dimensions with the Fast Fourier Transform (FFT)

Photo by Milad Fakurian on Unsplash

This is a quick follow-up to my recent article on taking derivatives using the FFT Fourier transform. As promised, I give the generalization from 1 to 𝑁 dimensions. The approach is quite the same, just the numpy functions are different and we have to use meshed grids.

--

--

Blogging about math, physics, and programming.

Love podcasts or audiobooks? Learn on the go with our new app.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store