In addition, there is lbfgs and minpack_solve for doing unconstrained
minimization. If you can express your problem as a minimization problem,
then these two routines (and minpack_lsquares) might be useful.
Ray
On Mon, Sep 12, 2011 at 3:51 PM, Panagiotis Papasotiriou <
p.j.papasot at gmail.com> wrote:
> Yes, Bernando, it is possible. Have a look at the package mnewton. It
> implements a multivariate Newton method for solving systems of non-linear
> differential equations. That is, it is a generalization of the
> Newton-Raphson method for root-finding of functions of one variable.
> Personally, I would prefer Broyden's method instead of multivariate Newton,
> because Broyden's method is based on Secant (its one-dimension equivalent).
> Nevertheless, multivariate Newton is not bad.
> Note that, depending on the problem at hand, a "good" initial guess might
> be necessary. If your initial guesses for the unknown variables are very
> bad, mnewton will fail to converge, and you will need to try again with
> different guesses.
>
> 2011/9/12 bernardo gomez <bernardo at fceia.unr.edu.ar>
>
>> Hi !
>> It is possible to solve numerically a system Maxima of 2 nonlinear
>> equations ?
>> Thanks !
>> bernardo
>> --
>>
>> *Instituto de F?sica Rosario*
>> *Grupo de F?sica de Plasmas*
>> 27 de Febrero 210 bis
>> (S2000EZP) Rosario
>>
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