anima::GaussianMCMCost Class Reference

Class for computing marginal and profile costs and derivatives. This is not thread safe at all so be sure to intantiate one per thread. More...

#include <animaGaussianMCMCost.h>

Inheritance diagram for anima::GaussianMCMCost:

Collaboration diagram for anima::GaussianMCMCost:

Public Types
typedef itk::SmartPointer< const Self >	ConstPointer
typedef itk::SmartPointer< Self >	Pointer
typedef GaussianMCMCost	Self
typedef anima::BaseMCMCost	Superclass
Public Types inherited from anima::BaseMCMCost
typedef itk::SmartPointer< const Self >	ConstPointer
typedef itk::Array2D< double >	DerivativeMatrixType
typedef itk::Array< double >	DerivativeType
typedef MCMType::ListType	ListType
typedef MCMType::Pointer	MCMPointer
typedef anima::MultiCompartmentModel	MCMType
typedef itk::Array< double >	MeasureType
typedef itk::OptimizerParameters< double >	ParametersType
typedef itk::SmartPointer< Self >	Pointer
typedef BaseMCMCost	Self
typedef itk::LightObject	Superclass
typedef MCMType::Vector3DType	Vector3DType

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
double	GetCurrentCostValue () ITK_OVERRIDE
	For the current set of parameters, compute the cost function value, requires GetValues to be called first. More...
void	GetCurrentDerivative (DerivativeMatrixType &derivativeMatrix, DerivativeType &derivative) ITK_OVERRIDE
	Get cost function derivatives from a derivative matrix obtained from GetDerivativeMatrix. More...
void	GetDerivativeMatrix (const ParametersType &parameters, DerivativeMatrixType &derivative) ITK_OVERRIDE
	Get residual derivatives for a given set of parameters, returns a matrix of residuals derivatives. More...
virtual const char *	GetNameOfClass () const
MeasureType	GetValues (const ParametersType &parameters) ITK_OVERRIDE
	Get residual values for a given set of parameters, returns a vector of residuals. More...
void	SetMarginalEstimation (bool val)
Public Member Functions inherited from anima::BaseMCMCost
MCMPointer &	GetMCMStructure ()
unsigned int	GetNumberOfObservations () const
unsigned int	GetNumberOfParameters () const
	Returns number of optimized parameters. More...
virtual double	GetSigmaSquare ()
void	SetBigDelta (double val)
void	SetGradients (std::vector< Vector3DType > &value)
void	SetGradientStrengths (ListType &value)
void	SetMCMStructure (MCMType *model)
void	SetObservedSignals (ListType &value)
void	SetSmallDelta (double val)

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
	GaussianMCMCost ()
virtual	~GaussianMCMCost ()
Protected Member Functions inherited from anima::BaseMCMCost
	BaseMCMCost ()
virtual	~BaseMCMCost ()

Additional Inherited Members
Protected Attributes inherited from anima::BaseMCMCost
double	m_BigDelta
std::vector< Vector3DType >	m_Gradients
ListType	m_GradientStrengths
MCMPointer	m_MCMStructure
ListType	m_ObservedSignals
std::vector< double >	m_PredictedSignals
double	m_SigmaSquare
double	m_SmallDelta
ListType	m_TestedParameters

Detailed Description

Class for computing marginal and profile costs and derivatives. This is not thread safe at all so be sure to intantiate one per thread.

Definition at line 18 of file animaGaussianMCMCost.h.

Member Typedef Documentation

ConstPointer

typedef itk::SmartPointer<const Self> anima::GaussianMCMCost::ConstPointer

Definition at line 25 of file animaGaussianMCMCost.h.

Pointer

typedef itk::SmartPointer<Self> anima::GaussianMCMCost::Pointer

Definition at line 24 of file animaGaussianMCMCost.h.

Self

typedef GaussianMCMCost anima::GaussianMCMCost::Self

Standard class typedefs.

Definition at line 22 of file animaGaussianMCMCost.h.

Superclass

typedef anima::BaseMCMCost anima::GaussianMCMCost::Superclass

Definition at line 23 of file animaGaussianMCMCost.h.

Constructor & Destructor Documentation

GaussianMCMCost()

anima::GaussianMCMCost::GaussianMCMCost ( )

inlineprotected

Definition at line 47 of file animaGaussianMCMCost.h.

~GaussianMCMCost()

virtual anima::GaussianMCMCost::~GaussianMCMCost ( )

inlineprotectedvirtual

Definition at line 52 of file animaGaussianMCMCost.h.

Member Function Documentation

CreateAnother()

virtual::itk::LightObject::Pointer anima::GaussianMCMCost::CreateAnother

(

void

)

const

GetCurrentCostValue()

double anima::GaussianMCMCost::GetCurrentCostValue ( )

virtual

For the current set of parameters, compute the cost function value, requires GetValues to be called first.

Implements anima::BaseMCMCost.

Definition at line 47 of file animaGaussianMCMCost.cxx.

References anima::BaseMCMCost::m_SigmaSquare.

GetCurrentDerivative()

void anima::GaussianMCMCost::GetCurrentDerivative ( DerivativeMatrixType &  derivativeMatrix, DerivativeType &  derivative  )

virtual

Get cost function derivatives from a derivative matrix obtained from GetDerivativeMatrix.

Implements anima::BaseMCMCost.

Definition at line 96 of file animaGaussianMCMCost.cxx.

References anima::BaseMCMCost::m_SigmaSquare.

GetDerivativeMatrix()

void anima::GaussianMCMCost::GetDerivativeMatrix ( const ParametersType &  parameters, DerivativeMatrixType &  derivative  )

virtual

Get residual derivatives for a given set of parameters, returns a matrix of residuals derivatives.

Implements anima::BaseMCMCost.

Definition at line 62 of file animaGaussianMCMCost.cxx.

References anima::BaseMCMCost::m_BigDelta, anima::BaseMCMCost::m_Gradients, anima::BaseMCMCost::m_GradientStrengths, anima::BaseMCMCost::m_MCMStructure, anima::BaseMCMCost::m_ObservedSignals, anima::BaseMCMCost::m_SmallDelta, and anima::BaseMCMCost::m_TestedParameters.

GetNameOfClass()

virtual const char* anima::GaussianMCMCost::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from anima::BaseMCMCost.

GetValues()

GaussianMCMCost::MeasureType anima::GaussianMCMCost::GetValues ( const ParametersType &  parameters )

virtual

Get residual values for a given set of parameters, returns a vector of residuals.

Implements anima::BaseMCMCost.

Definition at line 10 of file animaGaussianMCMCost.cxx.

References anima::BaseMCMCost::m_BigDelta, anima::BaseMCMCost::m_Gradients, anima::BaseMCMCost::m_GradientStrengths, anima::BaseMCMCost::m_MCMStructure, anima::BaseMCMCost::m_ObservedSignals, anima::BaseMCMCost::m_PredictedSignals, anima::BaseMCMCost::m_SigmaSquare, anima::BaseMCMCost::m_SmallDelta, and anima::BaseMCMCost::m_TestedParameters.

New()

static Pointer anima::GaussianMCMCost::New ( )

static

Referenced by anima::MCMEstimatorImageFilter< InputPixelType, OutputPixelType >::CreateCostFunction().

SetMarginalEstimation()

void anima::GaussianMCMCost::SetMarginalEstimation ( bool  val )

inline

Definition at line 44 of file animaGaussianMCMCost.h.

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

• animaGaussianMCMCost.h
• animaGaussianMCMCost.cxx