[SciPy-dev] parameter control in scipy.optimize.leastsq

[Robin]

On Sun, Oct 19, 2008 at 11:28 AM, Maximilian Fabricius <mxhf@gmx.net> wrote:
> Robin,
>
> thank you for the quick reply.
> Indeed, but this would still involve to swap parameters around between
> fixed and non-fixed and
> changing the lambda function manually rather then just switching the
> fissint on and off
> with a single variable.
>
> But no doubt, a wrapper can be done.

I couldn't think of a way to squeeze it into a lamdba single
statement, but something like this would do:

def fit_function(x, fit, y):
    p0 = zeros(fit.size)
    p0[fit] = x
    p0[~fit] = y

where fit is a boolean array, x is the ones to optimised and y are the
fixed values.
You have the extra overhead of the p0 array allocation for every
iteration of the function - but perhaps that is worth it for the
convenience.

Robin