C++11 library components to make a programming scientist happy

This talk presents a survey over components of the C++11
standard library which facilitate the life of a programming scientist.
It will provide a gentle introduction to the random number generator
and evolve this to a complete application: the stochastic simulation
of share price development.  The new meta-programming features helps
designing our programs more clearly.  For instance, we can (better)
deal with the limitation of complex numbers that types cannot mixed.
Tuples help us to aim for a more functional and structured programming
style in the presence of multiple results.

Speaker: Peter Gottschling

Slides: C++11 library components to make a programming scientist happy


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