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

From: Paul A Bristow (pbristow_at_[hidden])
Date: 2008-03-26 05:33:26

>-----Original Message-----
>From: boost-bounces_at_[hidden] 
>[mailto:boost-bounces_at_[hidden]] On Behalf Of Milan Rusev
>Sent: 25 March 2008 19:40
>To: boost_at_[hidden]
>Subject: Re: [boost] [gsoc 2008] Neural Networks library
>
>"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.

You might be able to have quite a lot of fun combining Boost.Accumlators and the Math Toolkit to demonstrate some of the common
statistics tricks - a step up towards a SAS/SPS style GUI Stats package, but still in the 'C++ domain'?

>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); 

Also interesting of course.

Paul

---
Paul A Bristow
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