Foam::distributionModels Namespace Reference

A namespace for various probability distribution model implementations. More...

Classes
class	binned
	Particle-size distribution model wherein random samples are drawn from a given discrete set of (bin, probability) pairs, where in terms of its meaning, bins correspond to particle sizes and probabilities correspond to (relative) probability of occurrences. More...
class	exponential
	Particle-size distribution model wherein random samples are drawn from the doubly-truncated exponential probability density function: More...
class	fixedValue
	Particle-size distribution model wherein samples are given fixed values. More...
class	general
	Particle-size distribution model wherein random samples are drawn from a given arbitrary probability density function or cumulative distribution function. Input distributions are specified as pairs of (size, probability) (i.e. (point, value) ). More...
class	massRosinRammler
	Particle-size distribution model wherein random samples are drawn from the two-parameter Rosin-Rammler (Weibull) probability density function corrected to take into account varying number of particles per parcels for fixed-mass parcels. More...
class	multiNormal
	Particle-size distribution model wherein random samples are drawn from a mixture of a finite set of doubly-truncated univariate normal probability density functions: More...
class	normal
	Particle-size distribution model wherein random samples are drawn from the doubly-truncated univariate normal probability density function: More...
class	RosinRammler
	Particle-size distribution model wherein random samples are drawn from the doubly-truncated two-parameter Rosin-Rammler (Weibull) probability density function: More...
class	uniform
	Particle-size distribution model wherein random samples are drawn from the doubly-truncated uniform probability density function: More...

Functions
	defineTypeNameAndDebug (binned, 0)
	addToRunTimeSelectionTable (distributionModel, binned, dictionary)
	defineTypeNameAndDebug (exponential, 0)
	addToRunTimeSelectionTable (distributionModel, exponential, dictionary)
	defineTypeNameAndDebug (fixedValue, 0)
	addToRunTimeSelectionTable (distributionModel, fixedValue, dictionary)
	defineTypeNameAndDebug (general, 0)
	addToRunTimeSelectionTable (distributionModel, general, dictionary)
	defineTypeNameAndDebug (massRosinRammler, 0)
	addToRunTimeSelectionTable (distributionModel, massRosinRammler, dictionary)
	defineTypeNameAndDebug (multiNormal, 0)
	addToRunTimeSelectionTable (distributionModel, multiNormal, dictionary)
	defineTypeNameAndDebug (normal, 0)
	addToRunTimeSelectionTable (distributionModel, normal, dictionary)
	defineTypeNameAndDebug (RosinRammler, 0)
	addToRunTimeSelectionTable (distributionModel, RosinRammler, dictionary)
	defineTypeNameAndDebug (uniform, 0)
	addToRunTimeSelectionTable (distributionModel, uniform, dictionary)

Detailed Description

A namespace for various probability distribution model implementations.

Function Documentation

defineTypeNameAndDebug() [1/9]

defineTypeNameAndDebug	(	binned	,
		0	)

addToRunTimeSelectionTable() [1/9]

addToRunTimeSelectionTable	(	distributionModel	,
		binned	,
		dictionary	)

defineTypeNameAndDebug() [2/9]

defineTypeNameAndDebug	(	exponential	,
		0	)

addToRunTimeSelectionTable() [2/9]

addToRunTimeSelectionTable	(	distributionModel	,
		exponential	,
		dictionary	)

defineTypeNameAndDebug() [3/9]

defineTypeNameAndDebug	(	fixedValue	,
		0	)

addToRunTimeSelectionTable() [3/9]

addToRunTimeSelectionTable	(	distributionModel	,
		fixedValue	,
		dictionary	)

defineTypeNameAndDebug() [4/9]

defineTypeNameAndDebug	(	general	,
		0	)

addToRunTimeSelectionTable() [4/9]

addToRunTimeSelectionTable	(	distributionModel	,
		general	,
		dictionary	)

defineTypeNameAndDebug() [5/9]

defineTypeNameAndDebug	(	massRosinRammler	,
		0	)

addToRunTimeSelectionTable() [5/9]

addToRunTimeSelectionTable	(	distributionModel	,
		massRosinRammler	,
		dictionary	)

defineTypeNameAndDebug() [6/9]

defineTypeNameAndDebug	(	multiNormal	,
		0	)

addToRunTimeSelectionTable() [6/9]

addToRunTimeSelectionTable	(	distributionModel	,
		multiNormal	,
		dictionary	)

defineTypeNameAndDebug() [7/9]

defineTypeNameAndDebug	(	normal	,
		0	)

addToRunTimeSelectionTable() [7/9]

addToRunTimeSelectionTable	(	distributionModel	,
		normal	,
		dictionary	)

defineTypeNameAndDebug() [8/9]

defineTypeNameAndDebug	(	RosinRammler	,
		0	)

addToRunTimeSelectionTable() [8/9]

addToRunTimeSelectionTable	(	distributionModel	,
		RosinRammler	,
		dictionary	)

defineTypeNameAndDebug() [9/9]

defineTypeNameAndDebug	(	uniform	,
		0	)

addToRunTimeSelectionTable() [9/9]

addToRunTimeSelectionTable	(	distributionModel	,
		uniform	,
		dictionary	)