Are you looking for something like nlm()? It does minimization in any
number of dimensions using a Newton-type algorithm;
it can be manually given gradients / Hessians, or alternatively you can
give it neither and let them approximated empirically.

Taylor

On Wed, Nov 16, 2011 at 11:00 AM, Edward Patzelt <patze003@umn.edu> wrote:

> R -
>
> Does anyone know of a cubic gradient descent package?  I found grad.desc()
>  but that only allows for a 2d function.  I have 3 free parameters and thus
> am looking for a 3d function.
>
> Thank you,
>
> --
> Edward H. Patzelt
> Research Assistant – TRiCAM Lab
> University of Minnesota – Psychology/Psychiatry
> VA Medical Center
> S355 Elliot Hall: 612-626-0072
> www.psych.umn.edu/research/tricam
>
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>
>
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