Re: [boost] [gsoc 2008] Neural Networks library

From: Milan Rusev (milan.rusev_at_[hidden])
Date: 2008-03-25 15:39:36

"John Maddock" <john_at_[hidden]> wrote:
>
> Um have you seen:
> http://svn.boost.org/svn/boost/trunk/libs/math/doc/sf_and_dist/html/math_toolkit/dist.html ?

Ah, I hadn't seen it indeed, sorry. Seems like MPL is being developed too: 
http://boost-sandbox.sourceforge.net/libs/accumulators/doc/html/index.html#accumulators.preface.

I'll give it another try (this time I checked the docs more thoroughly :)).
While I was thinking about the library I thought it would be good to have
a general set of algorithms for dealing with real functions.
So I thought about numerically computing some popular functionals:

get_derivative(Fun f);
get_integral(Fun f);
get_definite_integral(Fun f, T a, T b);
get_function(samples); // e.g. interpolation with a polynomial/splines/...
get_polynomial_approximation(Fun f);

and transforms: FFT, wavelet transform, etc.

Fun could be anything with T operator()(T x):
get_integral(_1*_1+_1)(x);