[SciPy-user] help about a function to solve no linear equations
Jose Lopez
lopmart at gmail.com
Tue Apr 22 19:37:56 EDT 2008
ok, thank you.
On Tue, Apr 22, 2008 at 1:45 PM, Nils Wagner <nwagner at iam.uni-stuttgart.de>
wrote:
> On Tue, 22 Apr 2008 13:38:54 -0700
> "Jose Lopez" <lopmart at gmail.com> wrote:
> > hi
> >
> > somebody know, any function at scipy for solver system
> >no linear equations?
> >
> > thanks
> > atte JL
>
> scipy.optimize.fsolve
>
> fsolve(func, x0, args=(), fprime=None, full_output=0,
> col_deriv=0, xtol=1.49012e-08, maxfev=0, band=None,
> epsfcn=0.0, fact
> or=100, diag=None, warning=True)
> Find the roots of a function.
>
> Description:
>
> Return the roots of the (non-linear) equations
> defined by
> func(x)=0 given a starting estimate.
>
> Inputs:
>
> func -- A Python function or method which takes at
> least one
> (possibly vector) argument.
> x0 -- The starting estimate for the roots of
> func(x)=0.
> args -- Any extra arguments to func are placed in
> this tuple.
> fprime -- A function or method to compute the
> Jacobian of func with
> derivatives across the rows. If this is
> None, the
> Jacobian will be estimated.
> full_output -- non-zero to return the optional
> outputs.
> col_deriv -- non-zero to specify that the Jacobian
> function
> computes derivatives down the columns
> (faster, because
> there is no transpose operation).
> warning -- True to print a warning message when the
> call is
> unsuccessful; False to suppress the
> warning message.
> Outputs: (x, {infodict, ier, mesg})
>
> x -- the solution (or the result of the last
> iteration for an
> unsuccessful call.
>
>
> HTH
>
> Nils
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