Functor that is used for generating samples. More...

#include <InverseTransformSampling.h>

Collaboration diagram for ippl::random::InverseTransformSampling< T, Dim, DeviceType, Distribution >::fill_random< GeneratorPool >:

Public Types
using	value_type = T

Public Member Functions
KOKKOS_FUNCTION	fill_random (Distribution &dist_r, view_type &x_r, GeneratorPool &rand_pool_r, Vector< T, Dim > &umin_r, Vector< T, Dim > &umax_r, unsigned int &d_r)
	Constructor for the fill_random functor.
KOKKOS_INLINE_FUNCTION void	operator() (const size_t i) const
	Operator to fill random values.

Public Attributes
Distribution	targetdist_m
view_type	sample_m
GeneratorPool	pool_m
Vector< T, Dim >	minbound_m
Vector< T, Dim >	maxbound_m
unsigned int	dim_m

Detailed Description

template<typename T, unsigned Dim, class DeviceType, class Distribution>
template<class GeneratorPool>
struct ippl::random::InverseTransformSampling< T, Dim, DeviceType, Distribution >::fill_random< GeneratorPool >

Functor that is used for generating samples.

Definition at line 172 of file InverseTransformSampling.h.

Member Typedef Documentation

◆ value_type

template<typename T, unsigned Dim, class DeviceType, class Distribution>

template<class GeneratorPool>

using ippl::random::InverseTransformSampling< T, Dim, DeviceType, Distribution >::fill_random< GeneratorPool >::value_type = T

Definition at line 173 of file InverseTransformSampling.h.

Constructor & Destructor Documentation

◆ fill_random()

template<typename T, unsigned Dim, class DeviceType, class Distribution>

template<class GeneratorPool>

KOKKOS_FUNCTION ippl::random::InverseTransformSampling< T, Dim, DeviceType, Distribution >::fill_random< GeneratorPool >::fill_random	(	Distribution &	dist_r,
		view_type &	x_r,
		GeneratorPool &	rand_pool_r,
		Vector< T, Dim > &	umin_r,
		Vector< T, Dim > &	umax_r,
		unsigned int &	d_r )

inline

Constructor for the fill_random functor.

Parameters

dist_	The distribution to sample from.
x_	The view to generate samples in.
rand_pool_	The random number generator pool.
umin_	Minimum cumulative distribution values.
umax_	Maximum cumulative distribution values.

Definition at line 191 of file InverseTransformSampling.h.

References dim_m, maxbound_m, minbound_m, pool_m, sample_m, and targetdist_m.

Member Function Documentation

◆ operator()()

template<typename T, unsigned Dim, class DeviceType, class Distribution>

template<class GeneratorPool>

KOKKOS_INLINE_FUNCTION void ippl::random::InverseTransformSampling< T, Dim, DeviceType, Distribution >::fill_random< GeneratorPool >::operator() ( const size_t i ) const