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



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.


This is why using minuit for the fitting library is good idea. It's been
the standard fitting library for High Energy Physics for over 20 years.
It's bugs and limitations are now very well known.

Cheers

Martin


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
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