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Date: Mon, 14 May 2012 11:42:25 +0200
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 <CAGRH7Hq4XUQwK0UiajsJW_um6w+drzmqgMB+qdDMjV1pzM-Amg@mail.gmail.com>
Subject: Re: [math] Usage of DifferentiableMultivariateRealFunction
From: =?ISO-8859-1?Q?S=E9bastien_Brisard?= <sebastien.brisard@m4x.org>
To: Commons Users List <user@commons.apache.org>
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Hi,

>
> thanks for the reply. But i wonder what is the input for value and gradie=
nt.
> 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.
Good luck,
S=E9bastien

[1] http://svn.apache.org/viewvc/commons/proper/math/trunk/src/test/java/or=
g/apache/commons/math3/optimization/general/StatisticalReferenceDataset.jav=
a?view=3Dmarkup


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