[SciPy-user] howto call optimize.brute()

[Spuhler, Peter]

I can't seem to get optimize.brute working

The following error function works for optimize.fmin_powell for example
Def _error(x,offset):
	Error = x[0]**2 + x[1]**2 + offset
	Return error
Optimize.fmin(_error,x0=[1,1],args=(10,))

But if I now try to use optimize.brute
Bounds = ((-10,10,0.1),(-10,10,0.1))
Optimize.brute(_error,ranges=bounds,args=(10,))
I get the following error. What am I missing?

C:\Python24\lib\site-packages\scipy\optimize\optimize.py in brute(func,
ranges,
args, Ns, full_output, finish)
   1577     if (N==1):
   1578         grid = (grid,)
-> 1579     Jout = vecfunc(*grid)
   1580     Nshape = shape(Jout)
   1581     indx = argmin(Jout.ravel())

C:\Python24\lib\site-packages\numpy\lib\function_base.py in
__call__(self, *args
)
    619         nargs = len(args)
    620         if (nargs > self.nin) or (nargs < self.nin_wo_defaults):
--> 621             raise ValueError, "mismatch between python function
inputs"\

    622                   " and received arguments"
    623         if self.nout is None or self.otypes == '':

ValueError: mismatch between python function inputs and received
arguments

Thanks
-Peter