#include <RngBoost.h>

Inheritance diagram for QUESO::RngBoost:

Collaboration diagram for QUESO::RngBoost:

Public Member Functions
Constructor/Destructor methods
	RngBoost (int seed, int worldRank)
	Constructor with seed. More...

	~RngBoost ()
	Destructor. More...

Public Member Functions inherited from QUESO::RngBase
	RngBase (int seed, int worldRank)
	Constructor with seed. More...

virtual	~RngBase ()
	Virtual destructor. More...

int	seed () const
	Sets the seed. More...

Sampling methods
boost::mt19937	m_rng
	Random number generator from class boost::mt19937. More...

void	resetSeed (int newSeed)
	Resets the seed with value `newSeed`. More...

double	uniformSample () const
	Samples a value from a uniform distribution. Support: [0,1] or [a,b]. More...

double	gaussianSample (double stdDev) const

double	betaSample (double alpha, double beta) const
	Samples a value from a Beta distribution. Support: [0,1]. More...

double	gammaSample (double a, double b) const
	Samples a value from a Gamma distribution. Support: [0,infinity). More...

	RngBoost ()
	Default Constructor: it should not be used. More...

Additional Inherited Members
Protected Attributes inherited from QUESO::RngBase
int	m_seed
	Seed. More...

int	m_worldRank
	Rank of processor. More...

Detailed Description

Definition at line 46 of file RngBoost.h.

Constructor & Destructor Documentation

RngBoost::RngBoost	(	int	seed,
		int	worldRank
	)

Constructor with seed.

Constructor with seed ------------------------—.

Definition at line 33 of file RngBoost.C.

References resetSeed().

   :
   RngBase(seed,worldRank)
   //m_rng(seed)
 {
   resetSeed(seed);
 //TODO Find a suitable test for here; Kemelli todo
 
 //                       m_worldRank,
 //                       "RngBoos::constructor()",
 //                       "Kemelli todo: boost rng");
 }

RngBoost::~RngBoost ( )

Destructor.

Definition at line 47 of file RngBoost.C.

 {
   //this function does nothing
 }

QUESO::RngBoost::RngBoost ( )

private

Default Constructor: it should not be used.

Member Function Documentation

double RngBoost::betaSample	(	double	alpha,
		double	beta
	)		const

virtual

Samples a value from a Beta distribution. Support: [0,1].

The Beta Distribution is a continuous probability distribution; it has two free parameters, which are labeled alpha and beta. The beta distribution is used as a prior distribution for binomial proportions in Bayesian analysis (Evans et al. 2000, p. 34). Uses boost::math::beta_distribution<double> beta_dist(alpha, beta). Support (domain): [0,1].

Implements QUESO::RngBase.

Definition at line 81 of file RngBoost.C.

References m_rng.

 {
   static boost::uniform_01<boost::mt19937> zeroone(m_rng);
   boost::math::beta_distribution<double> beta_dist(alpha, beta);
   return quantile(beta_dist, zeroone());
 }

double RngBoost::gammaSample	(	double	a,
		double	b
	)		const

virtual

Samples a value from a Gamma distribution. Support: [0,infinity).

The Gamma Distribution is a continuous probability distribution; it has two free parameters, which may be labeled: a shape parameter a and an inverse scale parameter b, called a rate parameter. The parameterization with a and b is more common in Bayesian statistics, where the gamma distribution is used as a conjugate prior distribution for various types of inverse scale (aka rate) parameters. Uses boost::math::gamma_distribution<double> gamma_dist(a,b). Support (domain): [0,infinity).

Implements QUESO::RngBase.

Definition at line 90 of file RngBoost.C.

References m_rng.

 {
   static boost::uniform_01<boost::mt19937> zeroone(m_rng);
   boost::math::gamma_distribution<double>  gamma_dist(a,b);
   return quantile(gamma_dist, zeroone());
 }

double RngBoost::gaussianSample ( double stdDev ) const

virtual

Samples a value from a Gaussian distribution with standard deviation given by stdDev. Support: (-infinity, infinity).

The parameter mu (mean or expectation of the distribution) in this Gaussian sample isn't present, and thus, needs to be provided. e.g., in the form of a sum. The parameter stdDev is its standard deviation; its variance is therefore stdDev^2. A random variable with a Gaussian distribution is said to be normally distributed and is called a normal deviate. Uses boost::math::normal_distribution<double> gaussian_dist(mean, stdDev) Support (domain): (-infinity, infinity).

Implements QUESO::RngBase.

Definition at line 71 of file RngBoost.C.

References m_rng.

 {
   double mean = 0.; //it will be added conveniently later
   static boost::uniform_01<boost::mt19937> zeroone(m_rng);
   boost::math::normal_distribution<double>  gaussian_dist(mean, stdDev);
   return quantile(gaussian_dist, zeroone());
 }

void RngBoost::resetSeed ( int newSeed )

virtual

Resets the seed with value newSeed.

Reimplemented from QUESO::RngBase.

Definition at line 54 of file RngBoost.C.

References m_rng.

Referenced by RngBoost().

 {
   m_rng.seed(newSeed);
 
   return;
 }

double RngBoost::uniformSample ( ) const

virtual

Samples a value from a uniform distribution. Support: [0,1] or [a,b].

This function samples from continuous uniform distribution on the range [0,1). It is possible to scale this distribution so the support is defined by the two parameters, a and b, which are its minimum and maximum values. Support: -infinity < a < x< b< infinity. Uses boost::uniform_01<boost::mt19937> zeroone(m_rng).

Implements QUESO::RngBase.

Definition at line 63 of file RngBoost.C.

References m_rng.

 {
   static boost::uniform_01<boost::mt19937> zeroone(m_rng);
   return zeroone();
 }

Member Data Documentation

boost::mt19937 QUESO::RngBoost::m_rng

private

Random number generator from class boost::mt19937.

mt19937 are models for a pseudo-random number generator. Here it is cannot be static, as it has not been initialized yet. mt19937 has length cycle of 2^(19937)-1, requires approximately 625*sizeof(uint32_t) of memory, has relatively high speed (93% of the fastest available in Boost library), and provides good uniform distribution in up to 623 dimensions.

Definition at line 109 of file RngBoost.h.

Referenced by betaSample(), gammaSample(), gaussianSample(), resetSeed(), and uniformSample().

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

src/core/inc/RngBoost.h
src/core/src/RngBoost.C

Public Member Functions

Sampling methods

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation