From: Luis Ibanez <luis.ibanez@ki...>  20020224 05:20:44

Yes, that's what I was looking for. Thanks Luis  Amitha Perera wrote: >When you call the minimize function of a minimizer, the input >parameter is typically an initial point, and will be modified to be >the minimizing point: > > vnl_conjugate_gradient cg; > ... > vnl_vector x = (starting point) > cg.minimize( x ); > vcl_cout << "Minimum value has parameters " << x << vcl_endl; > >Is this what you meant? > >Amitha. > > >On Sat, Feb 23, 2002 at 06:57:20PM 0500, Luis Ibanez wrote: > >>Hi >> >>I'm using the optimizers in vnl and couldn't find so >>far a way of getting access to the set of parameters >>that are the final solution to the optimization. >> >>So I'm now writing cost functions that store the >>set of parameters of the last call to f() or gradf() >>and assuming that when the optimizers returns its >>last evaluation was the one corresponding to the >>optimal set of parameters. >> >>Is there a way of getting these parameters directly >>from the optimizer ? >> >> >> Thanks for any help >> >> >> Luis >> >> >> >> >>_______________________________________________ >>Vxlusers mailing list >>Vxlusers@... >>https://lists.sourceforge.net/lists/listinfo/vxlusers >> > 