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From: Henrik Sundberg (storangen_at_[hidden])
Date: 20070605 15:54:26
I doubt that the trigversion gives a good distribution:
inlineVectortrig(uniform_01<generator_type>&random) {
constfloatphi=2*M_PI*random();
constfloatcos_theta=2*random()1;
constfloatsin_theta=sqrt(1cos_theta*cos_theta);
returnVector(cos_theta,sin_theta*cos(phi),sin_theta *sin(phi));
}
The result ought to be more dense at the poles.
/$
2007/6/5, more effective thinking in the exceptional C++ programming
language <effective.thinking_at_[hidden]>:
> Dear,
>
> I'm a newcomer on the boost list. I subscribed to share the results of my
> experiments on picking random points on sphere. This procedure is often a
> bottleneck for very fast MonteCarlo simulations of physical process where
> you must pick vectors in random directions. I compiled a document that
> explain the experiments and the results. The conclusion contains some
> propositions to modify boost::random_on_sphere and I would like to know if a
> new implementation following the presented ideas would be welcome.
>
> Colas Schretter
>
> _______________________________________________
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