[SciPy-user] Another leastsq Jacobian bug
Stefan van der Walt
Sat Jun 23 03:48:30 CDT 2007
On Fri, Jun 22, 2007 at 07:35:05PM -0700, Lin Shao wrote:
> 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.
It would be helpful if you could provide two short snippets of code to
illustrate the problems you mention.
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