Do you have a reference for a chi-squared Jacobian? I didn't know that such a thing existed. As far as I know, the value, gradient, and Hessian are at the chi-squared function level. Whereas the Jacobian is the matrix of first partial derivatives prior to the sum of squares. I.e. in this case, the partial derivatives of the exponential functions.
If it does exist, could you derive the equations required? We might see that that actually explains the factor of two :) Cheers, Edward On 28 August 2014 14:16, Troels Emtekær Linnet <[email protected]> wrote: > Hi Edward. > > Could you maybe implement the Jacobian from the chi2 exponential function, > and return as list of lists? > > Covar could either be equal > > Qxx = ( J^T W J) - 1 > or > Qxx = ( Jchi2^T Jchi2)-1 > Maybe some scaling on the last > > Best > Troels > _______________________________________________ > relax (http://www.nmr-relax.com) > > This is the relax-devel mailing list > [email protected] > > To unsubscribe from this list, get a password > reminder, or change your subscription options, > visit the list information page at > https://mail.gna.org/listinfo/relax-devel _______________________________________________ relax (http://www.nmr-relax.com) This is the relax-devel mailing list [email protected] To unsubscribe from this list, get a password reminder, or change your subscription options, visit the list information page at https://mail.gna.org/listinfo/relax-devel
