viennashe::math::normal_distribution< RealT, ResultT > Class Template Reference

#include <random.hpp>

Public Member Functions
	normal_distribution (RealT const &mean, RealT const &sigma)
RealT	mean () const
RealT	sigma () const
template<typename RandGeneratorType >
ResultT	operator() (RandGeneratorType &gen)
	Returns a Gaussian distributed random number; Algorithm: Box-Muller. More...

Detailed Description

template<typename RealT = double, typename ResultT = double>
class viennashe::math::normal_distribution< RealT, ResultT >

Definition at line 223 of file random.hpp.

Constructor & Destructor Documentation

normal_distribution()

template<typename RealT = double, typename ResultT = double>

viennashe::math::normal_distribution< RealT, ResultT >::normal_distribution ( RealT const &  mean, RealT const &  sigma  )

inline

Definition at line 231 of file random.hpp.

Member Function Documentation

mean()

template<typename RealT = double, typename ResultT = double>

RealT viennashe::math::normal_distribution< RealT, ResultT >::mean ( ) const

inline

Definition at line 235 of file random.hpp.

operator()()

template<typename RealT = double, typename ResultT = double>

template<typename RandGeneratorType >

ResultT viennashe::math::normal_distribution< RealT, ResultT >::operator() ( RandGeneratorType &  gen )

inline

Returns a Gaussian distributed random number; Algorithm: Box-Muller.

Parameters

gen	A random number generator implementing the concept of rand_generator_base

Returns

A Gaussian distributed random number

Definition at line 244 of file random.hpp.

sigma()

template<typename RealT = double, typename ResultT = double>

RealT viennashe::math::normal_distribution< RealT, ResultT >::sigma ( ) const

inline

Definition at line 236 of file random.hpp.

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The documentation for this class was generated from the following file:

• viennashe/math/random.hpp