[rand.dist.norm] (original) (raw)
26 Numerics library [numerics]
26.6 Random number generation [rand]
26.6.8 Random number distribution class templates [rand.dist]
26.6.8.5 Normal distributions [rand.dist.norm]
26.6.8.5.1 Class template normal_distribution [rand.dist.norm.normal]
A normal_distribution random number distribution produces random numbers xdistributed according to the probability density function
The distribution parameters μ and σare also known as this distribution's meanand standard deviation.
template class normal_distribution { public:
using result_type = RealType;
using param_type = unspecified;
normal_distribution() : normal_distribution(0.0) {}
explicit normal_distribution(RealType mean, 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, RealType stddev = 1.0);
Remarks: mean and stddevcorrespond to the respective parameters of the distribution.
Returns:The value of the mean parameter with which the object was constructed.
Returns:The value of the stddev parameter with which the object was constructed.
26.6.8.5.2 Class template lognormal_distribution [rand.dist.norm.lognormal]
A lognormal_distribution random number distribution produces random numbers distributed according to the probability density function
template class lognormal_distribution { public:
using result_type = RealType;
using param_type = unspecified;
lognormal_distribution() : lognormal_distribution(0.0) {}
explicit lognormal_distribution(RealType m, RealType s = 1.0);
explicit lognormal_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 m() const;
RealType s() const;
param_type param() const;
void param(const param_type& parm);
result_type min() const;
result_type max() const;};
explicit lognormal_distribution(RealType m, RealType s = 1.0);
Remarks: m and scorrespond to the respective parameters of the distribution.
Returns:The value of the m parameter with which the object was constructed.
Returns:The value of the s parameter with which the object was constructed.
26.6.8.5.3 Class template chi_squared_distribution [rand.dist.norm.chisq]
A chi_squared_distribution random number distribution produces random numbers distributed according to the probability density function
template class chi_squared_distribution { public:
using result_type = RealType;
using param_type = unspecified;
chi_squared_distribution() : chi_squared_distribution(1.0) {}
explicit chi_squared_distribution(RealType n);
explicit chi_squared_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 n() const;
param_type param() const;
void param(const param_type& parm);
result_type min() const;
result_type max() const;};
explicit chi_squared_distribution(RealType n);
Remarks: n corresponds to the parameter of the distribution.
Returns:The value of the n parameter with which the object was constructed.
26.6.8.5.4 Class template cauchy_distribution [rand.dist.norm.cauchy]
A cauchy_distribution random number distribution produces random numbers xdistributed according to the probability density function
template class cauchy_distribution { public:
using result_type = RealType;
using param_type = unspecified;
cauchy_distribution() : cauchy_distribution(0.0) {}
explicit cauchy_distribution(RealType a, RealType b = 1.0);
explicit cauchy_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 a() const;
RealType b() const;
param_type param() const;
void param(const param_type& parm);
result_type min() const;
result_type max() const;};
explicit cauchy_distribution(RealType a, RealType b = 1.0);
Remarks: a and bcorrespond to the respective parameters of the distribution.
Returns:The value of the a parameter with which the object was constructed.
Returns:The value of the b parameter with which the object was constructed.
26.6.8.5.5 Class template fisher_f_distribution [rand.dist.norm.f]
A fisher_f_distribution random number distribution produces random numbers distributed according to the probability density function
template class fisher_f_distribution { public:
using result_type = RealType;
using param_type = unspecified;
fisher_f_distribution() : fisher_f_distribution(1.0) {}
explicit fisher_f_distribution(RealType m, RealType n = 1.0);
explicit fisher_f_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 m() const;
RealType n() const;
param_type param() const;
void param(const param_type& parm);
result_type min() const;
result_type max() const;};
explicit fisher_f_distribution(RealType m, RealType n = 1);
Remarks: m and ncorrespond to the respective parameters of the distribution.
Returns:The value of the m parameter with which the object was constructed.
Returns:The value of the n parameter with which the object was constructed.
26.6.8.5.6 Class template student_t_distribution [rand.dist.norm.t]
A student_t_distribution random number distribution produces random numbers xdistributed according to the probability density function
template class student_t_distribution { public:
using result_type = RealType;
using param_type = unspecified;
student_t_distribution() : student_t_distribution(1.0) {}
explicit student_t_distribution(RealType n);
explicit student_t_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 n() const;
param_type param() const;
void param(const param_type& parm);
result_type min() const;
result_type max() const;};
explicit student_t_distribution(RealType n);
Remarks: n corresponds to the parameter of the distribution.
Returns:The value of the n parameter with which the object was constructed.