Re: Re[2]: non linear regressions and histograms.

[Morten Welinder <mwelinder gmail com>]

The problem with picking a random open (or closed, reallyl) software product
for numerical work and using it is that you need to figure out if it
is any good.

A quick look at numpy suggests that the numerical quality is questionable.
Take for example

static double atanh(double x)
{
        return 0.5*log((1.0+x)/(1.0-x));
}

This clearly has 100% loss of precision for small x.  (Luckily this function is
only used if libc fails to supply atanh.)

Morten