alpaka::rand::distribution::internal::BoxMuller< T_Fp > Struct Template Reference

Scalar Box-Muller transform for floating-point types. More...

#include <NormalReal.hpp>

Public Types
using	result_type = T_Fp

Public Member Functions
template<concepts::UniformStdEngine T_Rng>
constexpr T_Fp	operator() (T_Rng &rng)

Private Attributes
bool	m_hasSecondRngNumber = false
T_Fp	m_secondRngNumber

Detailed Description

template<std::floating_point T_Fp>
struct alpaka::rand::distribution::internal::BoxMuller< T_Fp >

Scalar Box-Muller transform for floating-point types.

Generates independent standard normal samples from a uniform scalar engine. The implementation caches the second sample so that a pair of uniforms yields two normal values.

Ref.: G. E. P. Box and M. E. Muller, "A Note on the Generation of Random Normal Deviates,"

Definition at line 26 of file NormalReal.hpp.

Member Typedef Documentation

result_type

template<std::floating_point T_Fp>

using alpaka::rand::distribution::internal::BoxMuller< T_Fp >::result_type = T_Fp

Definition at line 28 of file NormalReal.hpp.

Member Function Documentation

operator()()

template<std::floating_point T_Fp>

template<concepts::UniformStdEngine T_Rng>

T_Fp alpaka::rand::distribution::internal::BoxMuller< T_Fp >::operator() ( T_Rng & rng )

inlineconstexpr

Definition at line 31 of file NormalReal.hpp.

Member Data Documentation

m_hasSecondRngNumber

template<std::floating_point T_Fp>

bool alpaka::rand::distribution::internal::BoxMuller< T_Fp >::m_hasSecondRngNumber = false

private

Definition at line 58 of file NormalReal.hpp.

m_secondRngNumber

template<std::floating_point T_Fp>

T_Fp alpaka::rand::distribution::internal::BoxMuller< T_Fp >::m_secondRngNumber

private

Definition at line 57 of file NormalReal.hpp.

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

• /home/docs/checkouts/readthedocs.org/user_builds/alpaka3/checkouts/latest/include/alpaka/rand/distribution/NormalReal.hpp