I have recently learned Haskell at the University I am studying at, and am interested in how its features compare with the STL, Boost.Lambda, FACT (http://www.kfa-juelich.de/zam/FACT/start/index.html) and other areas of research.
The STL and Boost already support a lot of techniques - including functional composition and transformation of a container type. Expression Templates add a powerful mechanism for optimizing small vector-based calculations such as provided by libraries such as MTL, Blitz++ and others.
I also like the idea of static differentiation/integration, but was thinking more along the lines of an STL-based mechanism, e.g.
diff< std::sin >::type == std::cos
NOTE: I don't know if that differentiation rule is correct since it's been a while since I last did it, but you get the idea.
The differentiation support in boost::etl is, from what I can tell, based on etl-based constructs only. I would like to see a more general framework, but haven't had the time to do any research in that area.
Regards, Reece
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