Re: [racket-users] Linear algebra performance (was: calculations with arrays)

2020-11-24 Thread Bertrand Augereau
> > I believe game libraries in C also implement their own 3x3 matrices rather > than using BLAS/LAPACK. BLAS can handle very large matrices and > makes an effort to give good results even for ill-conditioned matrices. > They sure do. Generally as 4x4 or implicit homogeneous 4x3 matrices to help

Re: [racket-users] Linear algebra performance (was: calculations with arrays)

2020-11-24 Thread Jens Axel Søgaard
Den tir. 24. nov. 2020 kl. 15.12 skrev Dominik Pantůček < dominik.pantu...@trustica.cz>: > Hello, > > > If you are after numerical calculations for mxn matrices, then look at > > `flomat` > > which uses the same underlying C/Fortran library that NumPy uses. > > > >

[racket-users] Linear algebra performance (was: calculations with arrays)

2020-11-24 Thread Dominik Pantůček
Hello, > > If you are after numerical calculations for mxn matrices, then look at > `flomat` > which uses the same underlying C/Fortran library that NumPy uses. > > https://docs.racket-lang.org/manual-flomat/index.html > > If you need rrays with more dimensions than 2 use `math/array`. > > If