Hi.
I am, I am a seasonned java developper and I am developping some
personal research project in DSP.
I need to assess different optim methods for a familly of numerically
differntiable functions in R^n.
So far I implemented a few of them on my own (gradient descent,
Newton, quasi-Newton).
I just discovered that commons-maths 3.2 provide a framework for
multivariables function. So I would be very happy to use the existing
optim classes as is, and also, as a base for form own development.
Unfortunately, neither the online dev guide, nor the the javadoc is
sufficient to use, for instance GradientMultivariateOptimizer : it
has
no specific javadoc for the key methods optimise and
parseOptimisationData.
Is there some documentation somewher to help me?
The developer's guide needs updating.
But in that page:
http://commons.apache.org/proper/commons-math/javadocs/api-3.2/org/apache/commons/math3/optim/nonlinear/scalar/GradientMultivariateOptimizer.html
you can follow the link to the parent class's documentation
in order to find out all the parameters used by the class.
However, before you start writing code that rely on this API,
be sure to read that recent thread:
http://markmail.org/thread/3fjvucyz7rax4cyi
What is your opinion on the proposed change?
Regards,
Gilles
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