#include <itkQuaternionRigidTransformGradientDescentOptimizer.h>

Inheritance diagram for itk::QuaternionRigidTransformGradientDescentOptimizer:

Collaboration diagram for itk::QuaternionRigidTransformGradientDescentOptimizer:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	ParametersType = Superclass::ParametersType

using	Pointer = SmartPointer< Self >

using	Self = QuaternionRigidTransformGradientDescentOptimizer

using	Superclass = GradientDescentOptimizer

Public Types inherited from itk::GradientDescentOptimizer
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = GradientDescentOptimizer

using	StopConditionGradientDescentOptimizerEnum = GradientDescentOptimizerEnums::StopConditionGradientDescentOptimizer

using	Superclass = SingleValuedNonLinearOptimizer

Public Types inherited from itk::SingleValuedNonLinearOptimizer
using	ConstPointer = SmartPointer< const Self >

using	CostFunctionPointer = CostFunctionType::Pointer

using	CostFunctionType = SingleValuedCostFunction

using	DerivativeType = CostFunctionType::DerivativeType

using	MeasureType = CostFunctionType::MeasureType

using	ParametersType = Superclass::ParametersType

using	Pointer = SmartPointer< Self >

using	Self = SingleValuedNonLinearOptimizer

using	Superclass = NonLinearOptimizer

Public Types inherited from itk::NonLinearOptimizer
using	ConstPointer = SmartPointer< const Self >

using	ParametersType = Superclass::ParametersType

using	Pointer = SmartPointer< Self >

using	ScalesType = Superclass::ScalesType

using	Self = NonLinearOptimizer

using	Superclass = Optimizer

Public Types inherited from itk::Optimizer
using	ConstPointer = SmartPointer< const Self >

using	ParametersType = OptimizerParameters< double >

using	Pointer = SmartPointer< Self >

using	ScalesType = Array< double >

using	Self = Optimizer

using	Superclass = Object

Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = Object

using	Superclass = LightObject

Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = LightObject

Public Member Functions
void	AdvanceOneStep () override

virtual ::itk::LightObject::Pointer	CreateAnother () const

virtual const char *	GetNameOfClass () const

Public Member Functions inherited from itk::GradientDescentOptimizer
virtual const bool &	GetMaximize () const

virtual void	SetMaximize (bool _arg)

virtual void	MaximizeOn ()

virtual void	MaximizeOff ()

bool	GetMinimize () const

void	SetMinimize (bool v)

void	MinimizeOn ()

void	MinimizeOff ()

void	StartOptimization () override

void	ResumeOptimization ()

void	StopOptimization ()

virtual void	SetLearningRate (double _arg)

virtual const double &	GetLearningRate () const

virtual void	SetNumberOfIterations (SizeValueType _arg)

virtual const SizeValueType &	GetNumberOfIterations () const

virtual SizeValueType	GetCurrentIteration () const

virtual const double &	GetValue () const

virtual const StopConditionGradientDescentOptimizerEnum &	GetStopCondition () const

const std::string	GetStopConditionDescription () const override

virtual const DerivativeType &	GetGradient () const

Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
virtual ::itk::LightObject::Pointer	CreateAnother () const

virtual const CostFunctionType *	GetCostFunction () const

virtual CostFunctionType *	GetModifiableCostFunction ()

MeasureType	GetValue (const ParametersType &parameters) const

virtual void	SetCostFunction (CostFunctionType *costFunction)

Public Member Functions inherited from itk::Optimizer
virtual const ParametersType &	GetInitialPosition () const

virtual void	SetInitialPosition (const ParametersType &param)

void	SetScales (const ScalesType &scales)

virtual const ScalesType &	GetScales () const

virtual const ScalesType &	GetInverseScales () const

virtual const ParametersType &	GetCurrentPosition () const

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)

unsigned long	AddObserver (const EventObject &event, Command *) const

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexcept override

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)

virtual void	SetObjectName (std::string _arg)

virtual const std::string &	GetObjectName () const

Public Member Functions inherited from itk::LightObject
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::GradientDescentOptimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::NonLinearOptimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::Optimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

Protected Member Functions
	QuaternionRigidTransformGradientDescentOptimizer ()=default

	~QuaternionRigidTransformGradientDescentOptimizer () override=default

Protected Member Functions inherited from itk::GradientDescentOptimizer
	GradientDescentOptimizer ()

	~GradientDescentOptimizer () override=default

void	PrintSelf (std::ostream &os, Indent indent) const override

Protected Member Functions inherited from itk::SingleValuedNonLinearOptimizer
void	PrintSelf (std::ostream &os, Indent indent) const override

	SingleValuedNonLinearOptimizer ()

	~SingleValuedNonLinearOptimizer () override=default

Protected Member Functions inherited from itk::NonLinearOptimizer
	NonLinearOptimizer ()=default

	~NonLinearOptimizer () override

Protected Member Functions inherited from itk::Optimizer
	Optimizer ()

	~Optimizer () override=default

virtual void	SetCurrentPosition (const ParametersType &param)

Protected Member Functions inherited from itk::Object
	Object ()

	~Object () override

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const

	LightObject ()

virtual void	PrintHeader (std::ostream &os, Indent indent) const

virtual void	PrintTrailer (std::ostream &os, Indent indent) const

virtual	~LightObject ()

Additional Inherited Members
Protected Attributes inherited from itk::GradientDescentOptimizer
DerivativeType	m_Gradient

bool	m_Maximize { false }

double	m_LearningRate { 1.0 }

Protected Attributes inherited from itk::SingleValuedNonLinearOptimizer
CostFunctionPointer	m_CostFunction

Protected Attributes inherited from itk::Optimizer
bool	m_ScalesInitialized { false }

ParametersType	m_CurrentPosition

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount

Detailed Description

Implement a gradient descent optimizer.

QuaternionRigidTransformGradientDescentOptimizer is an extension to the simple gradient descent optimizer implemented in GradientDescentOptimizer. At each iteration the current position is updated according to

p(n+1) = p(n) + learningRate * d f(p(n)) / d p(n)

$p_{n+1} = p_n + \mbox{learningRate} \, \frac{\partial f(p_n) }{\partial p_n}$

The learning rate is a fixed scalar defined via SetLearningRate(). The optimizer steps through a user defined number of iterations; no convergence checking is done. The first four components of p are assumed to be the four components of the quaternion. After each update, the quaternion is normalized to have a magnitude of one. This ensures the the transform is purely rigid.

See also: GradientDescentOptimizer

Definition at line 52 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

Member Typedef Documentation

◆ ConstPointer

using itk::QuaternionRigidTransformGradientDescentOptimizer::ConstPointer = SmartPointer<const Self>

Definition at line 61 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

◆ ParametersType

using itk::QuaternionRigidTransformGradientDescentOptimizer::ParametersType = Superclass::ParametersType

Parameters type. It defines a position in the optimization search space.

Definition at line 71 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

◆ Pointer

using itk::QuaternionRigidTransformGradientDescentOptimizer::Pointer = SmartPointer<Self>

Definition at line 60 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

◆ Self

using itk::QuaternionRigidTransformGradientDescentOptimizer::Self = QuaternionRigidTransformGradientDescentOptimizer

Standard class type aliases.

Definition at line 58 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

◆ Superclass

using itk::QuaternionRigidTransformGradientDescentOptimizer::Superclass = GradientDescentOptimizer

Definition at line 59 of file itkQuaternionRigidTransformGradientDescentOptimizer.h.

Constructor & Destructor Documentation

◆ QuaternionRigidTransformGradientDescentOptimizer()

itk::QuaternionRigidTransformGradientDescentOptimizer::QuaternionRigidTransformGradientDescentOptimizer ( )

protecteddefault

◆ ~QuaternionRigidTransformGradientDescentOptimizer()

itk::QuaternionRigidTransformGradientDescentOptimizer::~QuaternionRigidTransformGradientDescentOptimizer ( )

overrideprotecteddefault

Member Function Documentation

◆ AdvanceOneStep()

void itk::QuaternionRigidTransformGradientDescentOptimizer::AdvanceOneStep ( )

overridevirtual

Advance one step following the gradient direction.

Reimplemented from itk::GradientDescentOptimizer.

◆ CreateAnother()

virtual::itk::LightObject::Pointer itk::QuaternionRigidTransformGradientDescentOptimizer::CreateAnother ( ) const

virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::GradientDescentOptimizer.

◆ GetNameOfClass()

virtual const char* itk::QuaternionRigidTransformGradientDescentOptimizer::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::GradientDescentOptimizer.

◆ New()

static Pointer itk::QuaternionRigidTransformGradientDescentOptimizer::New ( )

static

Method for creation through the object factory.

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

itkQuaternionRigidTransformGradientDescentOptimizer.h

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Member Typedef Documentation

◆ ConstPointer

◆ ParametersType

◆ Pointer

◆ Self

◆ Superclass

Constructor & Destructor Documentation

◆ QuaternionRigidTransformGradientDescentOptimizer()

◆ ~QuaternionRigidTransformGradientDescentOptimizer()

Member Function Documentation

◆ AdvanceOneStep()

◆ CreateAnother()

◆ GetNameOfClass()

◆ New()