[SciPy-user] Another leastsq Jacobian bug

Lin Shao shao@msg.ucsf....
Fri Jun 22 21:35:05 CDT 2007

Hi there,

It seems like when calling leastsq(), if the Jacobian matrix is
organized as rows of partial derivatives (w.r.t. each variable), then
no optimization is done at all -- the return value is the same as the
initial guess. It only works when the matrix is columns of derivatives
and set the parameter col_deriv to 1.


More information about the SciPy-user mailing list