ippl::random Namespace Reference

Namespaces
namespace	detail

Classes
class	Distribution
	The class that represents a distribution. More...
class	InverseTransformSampling
	A class for inverse transform sampling. More...
struct	normal_cdf
	Functor to calculate the cumulative distribution function (CDF) for a normal distribution. More...
struct	normal_pdf
	Functor to calculate the probability density function (PDF) for a normal distribution. More...
struct	normal_estimate
	Functor to estimate the initial guess for sampling normal distribution. More...
struct	NormalDistributionFunctions
class	NormalDistribution
struct	randn
	Functor to generate random numbers from a normal distribution. More...
struct	randu
	Functor to generate random numbers from a uniform distribution. More...

Functions
template<typename T>
KOKKOS_FUNCTION T	normal_cdf_func (T x, T mean, T stddev)
	Calculate the cumulative distribution function (CDF) for a normal distribution.
template<typename T>
KOKKOS_FUNCTION T	normal_pdf_func (T x, T mean, T stddev)
	Calculate the probability density function (PDF) for a normal distribution.
template<typename T>
KOKKOS_FUNCTION T	normal_estimate_func (T u, T mean, T stddev)
	An estimator for the initial guess that is used in Newton-Raphson method of Inverste Transfrom Sampling.
template<typename T>
KOKKOS_FUNCTION T	uniform_cdf_func (T x)
template<typename T>
KOKKOS_FUNCTION T	uniform_pdf_func ()
template<typename T>
KOKKOS_FUNCTION T	uniform_estimate_func (T u)

Function Documentation

normal_cdf_func()

template<typename T>

KOKKOS_FUNCTION T ippl::random::normal_cdf_func	(	T	x,
		T	mean,
		T	stddev )

Calculate the cumulative distribution function (CDF) for a normal distribution.

Parameters

x	Input value.
mean	Mean of the distribution.
stddev	Standard deviation of the distribution.

Returns

The CDF value.

Definition at line 23 of file NormalDistribution.h.

Referenced by ippl::random::normal_cdf< T >::operator()(), and ippl::random::NormalDistributionFunctions< T >::CDF::operator()().

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normal_estimate_func()

template<typename T>

KOKKOS_FUNCTION T ippl::random::normal_estimate_func	(	T	u,
		T	mean,
		T	stddev )

An estimator for the initial guess that is used in Newton-Raphson method of Inverste Transfrom Sampling.

Parameters

x	Input value.
mean	Mean of the distribution.
stddev	Standard deviation of the distribution.

Returns

The estimate value.

Definition at line 52 of file NormalDistribution.h.

Referenced by ippl::random::normal_estimate< T >::operator()(), and ippl::random::NormalDistributionFunctions< T >::Estimate::operator()().

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normal_pdf_func()

template<typename T>

KOKKOS_FUNCTION T ippl::random::normal_pdf_func	(	T	x,
		T	mean,
		T	stddev )

Calculate the probability density function (PDF) for a normal distribution.

Parameters

x	Input value.
mean	Mean of the distribution.
stddev	Standard deviation of the distribution.

Returns

The PDF value.

Definition at line 36 of file NormalDistribution.h.

References pi.

Referenced by ippl::random::normal_pdf< T >::operator()(), and ippl::random::NormalDistributionFunctions< T >::PDF::operator()().

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uniform_cdf_func()

template<typename T>

KOKKOS_FUNCTION T ippl::random::uniform_cdf_func

(

T

x

)

Definition at line 18 of file UniformDistribution.h.

Referenced by CustomDistributionFunctions::CDF::operator()().

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uniform_estimate_func()

template<typename T>

KOKKOS_FUNCTION T ippl::random::uniform_estimate_func

(

T

u

)

Definition at line 28 of file UniformDistribution.h.

uniform_pdf_func()

template<typename T>

KOKKOS_FUNCTION T ippl::random::uniform_pdf_func

(

)

Definition at line 23 of file UniformDistribution.h.

Referenced by CustomDistributionFunctions::PDF::operator()().

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