poisson_distribution< IntType > Class Template Reference

API library

• rocrand_cpp
• poisson_distribution

Classes | Public Types | Public Member Functions | Static Public Member Functions | List of all members

rocrand_cpp::poisson_distribution< IntType > Class Template Reference

rocRAND host API C++ Wrapper

Produces random non-negative integer values distributed according to Poisson distribution. More...

#include <rocrand.hpp>

Classes
class	param_type
	The type of the distribution parameter set. More...

Public Types
typedef IntType	result_type
	See description for IntType template parameter.

Public Member Functions
	poisson_distribution (double mean=1.0)
	Constructs a new distribution object. More...
	poisson_distribution (const param_type &params)
	Constructs a new distribution object. More...
double	mean () const
	Returns the mean distribution parameter. More...
param_type	param ()
	Returns the distribution parameter object.
void	param (const param_type &params)
	Sets the distribution parameter object.
template<class Generator >
void	operator() (Generator &g, IntType *output, size_t size)
	Fills output with random non-negative integer values distributed according to Poisson distribution. More...
bool	operator== (const poisson_distribution< IntType > &other) const
	Returns true if the distribution is the same as other. More...
bool	operator!= (const poisson_distribution< IntType > &other) const
	Returns true if the distribution is different from other. More...

Static Public Member Functions
static void	reset ()
	Resets distribution's internal state if there is any.
static constexpr IntType	min ()
	Returns the smallest possible value that can be generated.
static constexpr IntType	max ()
	Returns the largest possible value that can be generated.

Detailed Description

template<class IntType = unsigned int>
class rocrand_cpp::poisson_distribution< IntType >

Produces random non-negative integer values distributed according to Poisson distribution.

Template Parameters

IntType

- type of generated values. Only unsinged int type is supported.

Constructor & Destructor Documentation

◆ poisson_distribution() [1/2]

template<class IntType = unsigned int>

rocrand_cpp::poisson_distribution< IntType >::poisson_distribution ( double  mean = 1.0 )

inline

Constructs a new distribution object.

Parameters

mean	- A mean distribution parameter.

◆ poisson_distribution() [2/2]

template<class IntType = unsigned int>

rocrand_cpp::poisson_distribution< IntType >::poisson_distribution ( const param_type &  params )

inlineexplicit

Constructs a new distribution object.

Parameters

params

- Distribution parameters

Member Function Documentation

◆ mean()

template<class IntType = unsigned int>

double rocrand_cpp::poisson_distribution< IntType >::mean ( ) const

inline

Returns the mean distribution parameter.

The mean (also known as lambda) is the average number of events per interval. The default value is 1.0.

◆ operator!=()

template<class IntType = unsigned int>

bool rocrand_cpp::poisson_distribution< IntType >::operator!= ( const poisson_distribution< IntType > &  other ) const

inline

Returns true if the distribution is different from other.

Two distribution are equal, if their parameters are equal.

◆ operator()()

template<class IntType = unsigned int>

template<class Generator >

void rocrand_cpp::poisson_distribution< IntType >::operator() ( Generator &  g, IntType *  output, size_t  size  )

inline

Fills output with random non-negative integer values distributed according to Poisson distribution.

Generates size random non-negative integer values distributed according to Poisson distribution, and stores them into the device memory referenced by output pointer.

Parameters

g	- An uniform random number generator object
output	- Pointer to device memory to store results
size	- Number of values to generate

Requirements:

• The device memory pointed by output must have been previously allocated and be large enough to store at least size values of IntType type.
• If generator g is a quasi-random number generator (rocrand_cpp::sobol32_engine), then size must be a multiple of that generator's dimension.

See also: rocrand_generate_poisson()

◆ operator==()

template<class IntType = unsigned int>

bool rocrand_cpp::poisson_distribution< IntType >::operator== ( const poisson_distribution< IntType > &  other ) const

inline

Returns true if the distribution is the same as other.

Two distribution are equal, if their parameters are equal.

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

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