Implementation independent random number generator with a normal (Gaussian) distribution. More...

Public Member Functions
	DtGaussianDistributionGenerator ()
	Default CTOR.
	DtGaussianDistributionGenerator (const DtGaussianDistributionGenerator &other)
	Copy CTOR.
	~DtGaussianDistributionGenerator ()
	DTOR.
void	setSeed (int seed)
	Set the seed of the random number generator.
float	generate (float mn=0.0f, float sd=1.0f) const
	Generate a new random number.
double	generate (double mn=0.0f, double sd=1.0f) const
float	generateHalfCurve (float mn=0.0f, float sd=1.0f) const
	Generate a new random number which lies within the half of the distribution curve that is greater than the mean.
double	generateHalfCurve (double mn=0.0f, double sd=1.0f) const

Private Member Functions
DtGaussianDistributionGenerator &	operator= (const DtGaussianDistributionGenerator &)
	Assignment Operator.

Private Attributes
LocalPrivate *	myMutablePrivate

Detailed Description

Implementation independent random number generator with a normal (Gaussian) distribution.

Constructor & Destructor Documentation

makVrv::DtGaussianDistributionGenerator::DtGaussianDistributionGenerator ( )

Default CTOR.

makVrv::DtGaussianDistributionGenerator::DtGaussianDistributionGenerator ( const DtGaussianDistributionGenerator & other )

Copy CTOR.

makVrv::DtGaussianDistributionGenerator::~DtGaussianDistributionGenerator ( )

DTOR.

void makVrv::DtGaussianDistributionGenerator::setSeed ( int seed )

Set the seed of the random number generator.

Parameters

[in] seed is the seed to set the generator.

float makVrv::DtGaussianDistributionGenerator::generate	(	float	mn = `0.0f`,
		float	sd = `1.0f`
	)		const

Generate a new random number.

Parameters

[in]	mn	is the mean value of the normal distribution.
[in]	sd	is the standard deviation of the normal distribution.

Returns: A random number with a ~68% chance to be within one standard deviation of the mean, ~95% chance to be within two standard deviations of the mean, ~99% chance to be within three standard deviations of the mean, etc.

double makVrv::DtGaussianDistributionGenerator::generate	(	double	mn = `0.0f`,
		double	sd = `1.0f`
	)		const

float makVrv::DtGaussianDistributionGenerator::generateHalfCurve	(	float	mn = `0.0f`,
		float	sd = `1.0f`
	)		const

Generate a new random number which lies within the half of the distribution curve that is greater than the mean.

Parameters

[in]	mn	is the mean value of the normal distribution.
[in]	sd	is the standard deviation of the normal distribution.

Returns: A random number with a ~68% chance to be within one standard deviation of the mean, ~95% chance to be within two standard deviations of the mean, ~99% chance to be within three standard deviations of the mean, etc.

double makVrv::DtGaussianDistributionGenerator::generateHalfCurve	(	double	mn = `0.0f`,
		double	sd = `1.0f`
	)		const

DtGaussianDistributionGenerator& makVrv::DtGaussianDistributionGenerator::operator= ( const DtGaussianDistributionGenerator & )

private

Assignment Operator.

LocalPrivate* makVrv::DtGaussianDistributionGenerator::myMutablePrivate

mutableprivate

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

/exports/nfedora7-1/nightly/docs/vrforcesDevelopment.vrf4-3-branch/include/vrvUtil/DtGaussianDistributionGenerator.h