> Rescaling and using a sum of squared errors approach allowed lbfgs to
> converge, so thanks for the suggestions. I'd still like to hear the
> list's suggestions for additional methods to add to the optimization
> toolkit in Maxima. I have had one off-list suggestion which I will try
> when I have a little more time (next week).
>
What about Simulated Annealing or Genetic Algorithms?
They are stochastic global optimization algorithms. And the function to
be optimized doesn't need to be differentiable; in fact, they are also
used in discrete optimization.
Simulated Annealing should be easier to program.
--
Mario Rodriguez Riotorto
www.biomates.net