On Tue, Aug 2, 2016 at 6:41 PM, Siegfried Gonzi <siegfried.gonzi@ed.ac.uk> wrote:

Hi all

Does anyone know how to invoke curve_fit with a variable number of parameters, e.g. a1 to a10 without writing it out,

e.g.

def func2( x, a1,a2,a3,a4 ):

# Bessel function tmp = scipy.special.j0( x[:,:] )

return np.dot( tmp[:,:] , np.array( [a1,a2,a3,a4] )

### yi = M measurements (.e.g M=20) ### x = M (=20) rows of N (=4) columns popt = scipy.optimize.curve_fit( func2, x, yi )

I'd like to get *1 single vector* (in this case of size 4) of optimised A(i) values.

The function I am trying to minimise (.e.g F(r) is a vector of 20 model measurements): F(r) = SUM_i_to_N [ A(i) * bessel_function_J0(i * r) ]

Thanks, Siegfried Gonzi

-- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

You can use `leastsq` or `least_squares` directly: they both accept an array of parameters. BTW, since all of these functions are actually in scipy, you might want to redirect this discussion to the scipy-user mailing list. Cheers, Evgeni

On Tue, Aug 2, 2016 at 6:41 PM, Siegfried Gonzi <siegfried.gonzi@ed.ac.uk> wrote:

Hi all

Does anyone know how to invoke curve_fit with a variable number of parameters, e.g. a1 to a10 without writing it out,

e.g.

def func2( x, a1,a2,a3,a4 ):

# Bessel function tmp = scipy.special.j0( x[:,:] )

return np.dot( tmp[:,:] , np.array( [a1,a2,a3,a4] )

### yi = M measurements (.e.g M=20) ### x = M (=20) rows of N (=4) columns popt = scipy.optimize.curve_fit( func2, x, yi )

I'd like to get *1 single vector* (in this case of size 4) of optimised A(i) values.

The function I am trying to minimise (.e.g F(r) is a vector of 20 model measurements): F(r) = SUM_i_to_N [ A(i) * bessel_function_J0(i * r) ]

Thanks, Siegfried Gonzi

-- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

You can use `leastsq` or `least_squares` directly: they both accept an array of parameters. BTW, since all of these functions are actually in scipy, you might want to redirect this discussion to the scipy-user mailing list. Cheers, Evgeni