Gaussian random number generator It uses the well-known Box-Muller transformation to return a normal distributed Gaussian deviate with average 0.0 and standard deviation of 1.0, from a uniform deviate in (0,1) supplied by RNG.
Class RNG must implement the following interface:
RNG::sample_type RNG::next() const;
Gaussian random number generator It uses the well-known Box-Muller transformation to return a normal distributed Gaussian deviate with average 0.0 and standard deviation of 1.0, from a uniform deviate in (0,1) supplied by RNG.
Class RNG must implement the following interface:
RNG::sample_type RNG::next() const;