Re: Custom jacobian (dfdp) in nonlin_curvefit - calling parameters?

[Pavel Hofman]

Hi Olaf,

> > f = @(p, x) ... where x is one row of indeps, and f returns two rows, each
> > row for one equation (each equation uses all p elements). This code works
> > OK.
> >
> > If I wanted to use explicit jacobian to improve precision and calculation
> > stability, please how should I handle the two equations in f and dfdp?
>
> Sorry, please forget what I said about the reshaping of 'x', I was
> confused... I probably shouldn't try to answer help requests while I'm
> working on something different. And I probably don't understand what
> you mean with 'the 2D case'.
>
> The Jacobian should just compute one row of partial derivatives for
> each element of the result of 'f'.

Thanks but my f returns a 2D matrix (a row for each equation, a column 
for each element of the indeps vector x). Should the dfdp return a 3D 
matrix?

Thanks a lot.

Pavel.