"In principle you could order a real matrix and coeff and rhs vectors as: real imag real imag, etc."
Sorry I'm new to GSL. In my dataset, X is real and Y, A are complex. Just to make sure, do you mean that it can be done by having X, Y and A as complex data sets, and packing them into a real vector by alternating real and imaginary values? This way, is it then possible to use gsl_multifit_linear(x, y, a, cov, chisq, ws)? Thanks, Apurv On Tue, Aug 7, 2012 at 4:56 PM, Patrick Alken <[email protected]>wrote: > There aren't any native complex implementations of the multifit routines. > In principle you could order a real matrix and coeff and rhs vectors as: > real imag real imag, etc. But its probably easiest to use the complex > LAPACK routines for this. > > > On 08/07/2012 03:29 PM, Apurv Bhartia wrote: > >> Hi, >> >> Is there a way to use least squares fit for complex data sets? All of the >> *_multifit_* variants seem to require non-complex data. If not, then any >> advice on how I can somehow get this done? >> >> Thanks, >> Apurv >> > > >
