[SciPy-User] computing f and fprime in one evaluation in scipy.optimize
Mon Dec 10 10:38:14 CST 2012
OK, that's what I thought, but perhaps people expecting to find the word
gradient somewhere in the document would not make the connection :/
2012/12/10 Pauli Virtanen <email@example.com>
> Matthieu Brucher <matthieu.brucher <at> gmail.com> writes:
> > What is the Jacobian for a CG or BFGS optimization? There are no
> Jacobian in
> this case for non-least square optimization if I'm not mistaken (at least
> in no
> reference that I know of). Shouldn't this be the gradient function?
> Yeah, it means the gradient. If you nit-pick enough,
> the gradient is the Jacobian of a scalar function.
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