I think I know where the problem might be located: in your cost function
Array values(Array x)
is the dimension of the returned array smaller than the dimension of
x? e.g. you are optimizing with respect to 3 parameters, but returning
a 2 dimensional array.
lmdif checks for
m < n
if this is true, your error code (*info=0) is returned
* m is a positive integer input variable set to the number
* of functions.
*
* n is a positive integer input variable set to the number
* of variables. n must not exceed m.
I think the objective in the MINPACK algo is to avoid an ill posed problem.
Can you check please? Otherwise we'll find something else :)
2009/9/3 javit <cavit@virginia.edu>
>
> Klaus,
>
> At my first read, I believed that LM algorithm should work too. I got the
> code running with ConjugateGradient method.
>
> It took me sometime to figure out what is wrong. It turns out that after
> the
> optimized parameters are called, I call the model class once more to get
> the
> node values. And at that call, since the values are optimal, the root
> finders return an error complaining that the root is not bracketed. Both
> optimal f values have the same sign.
>
> Therefore, in Solver1d.hpp, I believe that one should check the accuracy of
> the starting points (is f(x_1) - f(x_2) close to zero and is f(x_1) close
> to
> zero?) before checking the signs of the f(x_1) and f(x_2).
>
> The current checks are:
>
> Is f(x_1) = 0 ?
> Is f(x_2) = 0 ?
>
> Rather than this, it should be:
> Is Abs( f(x_1) ) < accuracy?
> Is Abs( f(x_2) ) < accuracy?
> If yes, then return the x as the root before starting to check the signs of
> f values.
>
> For the LM algorithm, I still don't know why it is not working. I would bet
> that it is the number of optimization variables causing the error. My code
> is currently messy. I cannot send it as it is. I will let you know when all
> is done.
>
> Thank you for your help,
>
> Javit
>
>
>
> Klaus Spanderen-2 wrote:
> >
> > Hi Javit
> >
> > could you please send (or post) the code that causes the problem. The
> > Levenberg-Marquardt algorithm should (in theory;-) work for
> > PiecewiseConstantParameter.
> >
> > cheers
> > Klaus
> >
> >
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> -----
> Cavit (Javit) Hafizoglu
> mailto:javit.hafizoglu@suntrust.com mailto:javit.hafizoglu@suntrust.com
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