klGeneralizedInverseGaussianRV< TYPE > Class Template Reference

#include <kl_random_number_generator.h>

Inheritance diagram for klGeneralizedInverseGaussianRV< TYPE >:

Collaboration diagram for klGeneralizedInverseGaussianRV< TYPE >:

Public Member Functions
	klGeneralizedInverseGaussianRV (double Gaussian_lam=0.75, double Gaussian_bet=0.25, bool bSeedFromClock=true, unsigned int rvSeed0=0, unsigned int rvSeed1=1)
virtual TYPE	operator() ()
void	klGeneralizedInverseGaussianRVReset (bool bSeedFromClock=true, double Gaussian_lam=0.75, double Gaussian_bet=0.25, unsigned int rvSeed0=0, unsigned int rvSeed1=1)
Public Member Functions inherited from klMersenneTwister
	klMersenneTwister (int s=4357)
virtual	~klMersenneTwister ()
void	reset (unsigned int s=0)
unsigned int	nextValue ()
double	nextNormalizedValue ()
Public Member Functions inherited from klRV< TYPE >
virtual TYPE	CDF (TYPE x)
virtual TYPE	PDF (TYPE x)

Private Member Functions
double	gaussian ()

Private Attributes
double	Gaussian_A
double	Gaussian_C
double	Gaussian_beta
double	Gaussian_lambda
double	Gaussian_mx
double	Gaussian_my
double	Gaussian_V
double	Gaussian_X
unsigned int	seedValue0
unsigned int	seedValue1
klUniformRV< double >	Gaussian_U1
klUniformRV< double >	Gaussian_U2

Constructor & Destructor Documentation

template<class TYPE>

klGeneralizedInverseGaussianRV< TYPE >::klGeneralizedInverseGaussianRV ( double  Gaussian_lam = 0.75, double  Gaussian_bet = 0.25, bool  bSeedFromClock = true, unsigned int  rvSeed0 = 0, unsigned int  rvSeed1 = 1  )

inline

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Member Function Documentation

template<class TYPE>

double klGeneralizedInverseGaussianRV< TYPE >::gaussian ( )

inlineprivate

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template<class TYPE>

void klGeneralizedInverseGaussianRV< TYPE >::klGeneralizedInverseGaussianRVReset ( bool  bSeedFromClock = true, double  Gaussian_lam = 0.75, double  Gaussian_bet = 0.25, unsigned int  rvSeed0 = 0, unsigned int  rvSeed1 = 1  )

inline

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template<class TYPE>

virtual TYPE klGeneralizedInverseGaussianRV< TYPE >::operator() ( )

inlinevirtual

Implements klRV< TYPE >.

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Field Documentation

template<class TYPE>

double klGeneralizedInverseGaussianRV< TYPE >::Gaussian_A

private

template<class TYPE>

double klGeneralizedInverseGaussianRV< TYPE >::Gaussian_beta

private

template<class TYPE>

double klGeneralizedInverseGaussianRV< TYPE >::Gaussian_C

private

template<class TYPE>

double klGeneralizedInverseGaussianRV< TYPE >::Gaussian_lambda

private

template<class TYPE>

double klGeneralizedInverseGaussianRV< TYPE >::Gaussian_mx

private

template<class TYPE>

double klGeneralizedInverseGaussianRV< TYPE >::Gaussian_my

private

template<class TYPE>

klUniformRV<double> klGeneralizedInverseGaussianRV< TYPE >::Gaussian_U1

private

template<class TYPE>

klUniformRV<double> klGeneralizedInverseGaussianRV< TYPE >::Gaussian_U2

private

template<class TYPE>

double klGeneralizedInverseGaussianRV< TYPE >::Gaussian_V

private

template<class TYPE>

double klGeneralizedInverseGaussianRV< TYPE >::Gaussian_X

private

template<class TYPE>

unsigned int klGeneralizedInverseGaussianRV< TYPE >::seedValue0

private

template<class TYPE>

unsigned int klGeneralizedInverseGaussianRV< TYPE >::seedValue1

private

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

• kl_random_number_generator.h