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
>>
>>
>>
>>
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>>
>
