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From Gilles Sadowski <gil...@harfang.homelinux.org>
Subject Re: [math] Usage of DifferentiableMultivariateRealFunction
Date Mon, 14 May 2012 10:53:24 GMT
Hello.

> >
> > thanks for the reply. But i wonder what is the input for value and gradient.
> > in DifferentiableMultivariateRealFunction this needs to be a double array
> > but what needs to be provided there? The parameters for the function to
> > optimize?
> >
> > Thank you very much again
> >
> > Andreas
> >
> Do please have a look to the examples, as your question (and my
> answer) is too vague if not supported by proper code. I guess the
> answer to your question is 'yes', the double[] array is indeed the set
> of parameters, but again, do check the examples, I would not like to
> be misguiding you. Besides the user guide which should provide you
> with the answer, have a look to this implementation [1], line 153. In
> this implementation, x[i] and y[i] are the data points, yhat[i] are
> the model predictions, and a[] are the parameters. You should be able
> to find your way with this example.

I've also just added another bit of code show-casing the usage of the
"non-linear least-squares" optimizers (svn revision 1338144).


Best regards,
Gilles

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