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 --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
