In this article, I'll explain why implementing numbers with just algebraic datatypes is desirable. I'll then talk about common implementations of FFT (Fast Fourier Transform) and why they hide inherent inefficiencies. I'll then show how to implement integers and complex numbers with just algebraic datatypes, in a way that is extremely simple and elegant. I'll conclude by deriving a pure functional implementation of complex FFT with just datatypes, no floats.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/bin/env stack | |
-- stack --resolver lts-11.10 script | |
{-# LANGUAGE NoImplicitPrelude #-} | |
import RIO | |
import Conduit | |
import Control.Concurrent.STM.TBMQueue | |
doesn'tStall | |
:: MonadUnliftIO m | |
=> Int -- ^ number of microseconds |