[SciPy-user] NewBie: Fit Data to an implicit function

[Darren Dale]

On Wednesday 08 June 2005 9:02 am, Niklas Papathanasiou wrote:
> Hi!
>
> I like to fit data to an implicit function.
> I(U)=I0*exp((U-I*Rs)/(A*k*T)-1)+(U-IRs)/Rp
> I,U are data
> I0,Rs,Rp,A are Parameter
> k,T are physical constants
>
> Did anyone did this before or do I have to start from the scratch?

Check the SciPy users guide, about least squares fits. You want to write a 
function that returns the residuals:

residuals = I-I0*exp((U-I*Rs)/(A*k*T)-1)+(U-IRs)/Rp

and then pass that function to scipy.optimize.leastsq

Darren
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