A normal_distribution random number distribution produces random numbers x distributed according to the probability density function
p(x|μ,σ)=1σ√2π⋅exp(−(x−μ)22σ2).
The distribution parameters μ and σ are also known as this distribution's mean and standard deviation.
template<class RealType = double>
class normal_distribution {
public:
using result_type = RealType;
using param_type = unspecified;
explicit normal_distribution(RealType mean = 0.0, RealType stddev = 1.0);
explicit normal_distribution(const param_type& parm);
void reset();
template<class URBG>
result_type operator()(URBG& g);
template<class URBG>
result_type operator()(URBG& g, const param_type& parm);
RealType mean() const;
RealType stddev() const;
param_type param() const;
void param(const param_type& parm);
result_type min() const;
result_type max() const;
};
explicit normal_distribution(RealType mean = 0.0, RealType stddev = 1.0);
Effects: Constructs a normal_distribution object; mean and stddev correspond to the respective parameters of the distribution.
RealType mean() const;
Returns: The value of the mean parameter with which the object was constructed.
RealType stddev() const;
Returns: The value of the stddev parameter with which the object was constructed.
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