Re: Matrix native function

[Dr . Jürgen Sauermann]

    Hi Hendrik,
    
    I am wondering if it may make sense to make those functions
    built-ins?
    
    As of today only QR-factorization is built-in but I always felt that
    that
    may be too little (at least if compared to packages like e.g.
    LApack),
    
    with f being a function selector or a function name like in ⎕FX and
    ⎕CR.
    
    Best Regards,
    Jürgen
    
    
    All these functions could be accessed as either ⌹[f]B or as A[f]B

On 10/30/24 15:58, Henrik Moller wrote:

Earlier this year, I put a native function package, catted "mtx," on GitHub.  I've no idea if anyone is using it, but I just put up a new release.  The biggest change is that the new version uses the GNU gsl library rather than an ad-hoc eigensystems package I used in the first release, so the new version is easier to install. 

A new feature is some massaging of the covariance and eigensystems code to allow principal component analysis of statistical data*--see the README for an example.  That's in addition to the existing capabilities:

• Matrix determinants
• Matrix eigenvalues and eigenvectors
• Identity matrices
• Vector cross products
• Vector interior angles
• Vector or scalar rotation matrices
• Gaussian complex random values
• Vector/matrix normalisation
• Homogeneous matrices
• Covariance

Anyway, it's at github.com/ChrisMoller/mtx

* One of my sons is a medical physicist  and one the newer things in that is using PCA to use sampled radiomic data to model the shapes of cancerous regions.  He asked me for the capability, but I have no idea how useful it will be for anyone else.