RandomGeneratorSingleton Class Reference

Singleton class for generating random numbers. More...

#include <math/Random.h>

Inheritance diagram for RandomGeneratorSingleton:

Public Types
typedef Base::Type	Type

Public Member Functions
void	seed (uint64 seed=0)
	Seed the random number generator. More...
double	random ()
	Platform independent generation of random, double precision floating point random numbers in the interval [0.0, 1.0) More...
template<typename T >
T	uniform (T min, T max)
	Generate uniform distributed random numbers in the interval [min, max) More...
double	normal (double sigma=1.0)
	Generate standard normally distributed random numbers using a source of uniformly distributed random numbers. More...
double	gaussian (double sigma=1.0)
	deprecated, use normal() instead. More...

Static Public Member Functions
static Type &	instance ()
	Returns a reference to the singleton instance. More...
static bool	isDestroyed ()
	Returns true, if the singleton was already destroyed. More...

Static Protected Member Functions
static Type *	makeInstance ()
static void	destroyInstance (void)

Friends
struct	mira::singleton::CreateUsingNew< RandomGeneratorSingleton >

Detailed Description

Singleton class for generating random numbers.

Use the MIRA_RANDOM macro to access the singleton.

Usage:

#include <math/Random.h>
...

// sample uniform random number between 10 and 30
int rndnumber1 = MIRA_RANDOM.uniform(10,30);

// sample normal distributed random number with sigma=2
float rndnumber2 = MIRA_RANDOM.normal(2.0);

Member Typedef Documentation

Type

typedef Base::Type Type

inherited

Member Function Documentation

seed()

void seed ( uint64  seed = 0 )

inline

Seed the random number generator.

Is done automatically when creating the singleton

Parameters

[in]

seed

The seed value: Default = 0 uses the current time for seeding the random generator. Therefore, the result will be a non-reproducible pseudo-random sequence. All other values allow to seed the random generator with a specific value and will result in a reproducible pseudo-random sequence.

random()

double random ( )

inline

Platform independent generation of random, double precision floating point random numbers in the interval [0.0, 1.0)

uniform()

T uniform ( T  min, T  max  )

inline

Generate uniform distributed random numbers in the interval [min, max)

normal()

double normal ( double  sigma = 1.0 )

inline

Generate standard normally distributed random numbers using a source of uniformly distributed random numbers.

Sigma must be >= 0.0!

gaussian()

double gaussian ( double  sigma = 1.0 )

inline

deprecated, use normal() instead.

instance()

static Type& instance ( )

inlinestaticinherited

Returns a reference to the singleton instance.

Exceptions

XSingleton

If the singleton was already destroyed (dead reference) or not yet created (when using ExplicitInstantiation).

isDestroyed()

static bool isDestroyed ( )

inlinestaticinherited

Returns true, if the singleton was already destroyed.

Trying to access it will result in an exception.

makeInstance()

static Type* makeInstance ( )

inlinestaticprotectedinherited

destroyInstance()

static void destroyInstance ( void  )

inlinestaticprotectedinherited

Friends And Related Function Documentation

mira::singleton::CreateUsingNew< RandomGeneratorSingleton >

friend struct mira::singleton::CreateUsingNew< RandomGeneratorSingleton >

friend

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

• base/include/math/Random.h