You can start by doing:
find_fit??
in Sage, which shows the source code. As the documentation and code shows,
this is mostly wrapping SciPy's scipy.optimize.leastsq function. According
to the SciPy documentation, this in turn is a wrapper for MINPACK's lmdif
and lmder algorithms. MINPACK is written in Fortran.
My inclination for complex interpolation would be to start from scratch in
Sage.
-M. Hampton
On Tuesday, July 17, 2012 2:57:28 AM UTC-5, Urs Hackstein wrote:
>
> Dear all,
>
> it seems that there is no routine to interpolate points
> \in\mathbb{C}\times\mathbb{C} by functions f\colon\mathbb{ C}ยท\to\mathbb{C}
> other than cubic splines until now, but I assume that it is not too
> difficult to extend the existing routines. Thus I wonder whether it is
> possible to have a look on the source code of the routines find_fit and
> complex_cubic_spline.
>
> Best regards,
>
> Urs Hackstein
>
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