ITK  5.0.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Protected Types | Protected Member Functions | Private Attributes | List of all members
itk::LevenbergMarquardtOptimizer Class Reference

#include <itkLevenbergMarquardtOptimizer.h>

+ Inheritance diagram for itk::LevenbergMarquardtOptimizer:
+ Collaboration diagram for itk::LevenbergMarquardtOptimizer:

Detailed Description

Wrap of the vnl_levenberg_marquardt algorithm.

Examples:
Examples/RegistrationITKv3/IterativeClosestPoint1.cxx, Examples/RegistrationITKv3/IterativeClosestPoint2.cxx, Examples/RegistrationITKv3/IterativeClosestPoint3.cxx, Examples/RegistrationITKv4/IterativeClosestPoint1.cxx, Examples/RegistrationITKv4/IterativeClosestPoint2.cxx, Examples/RegistrationITKv4/IterativeClosestPoint3.cxx, and WikiExamples/Math/LMOptimization.cxx.

Definition at line 33 of file itkLevenbergMarquardtOptimizer.h.

Public Types

using ConstPointer = SmartPointer< const Self >
 
using InternalOptimizerType = vnl_levenberg_marquardt
 
using InternalParametersType = vnl_vector< double >
 
using Pointer = SmartPointer< Self >
 
using Self = LevenbergMarquardtOptimizer
 
using Superclass = MultipleValuedNonLinearVnlOptimizer
 
- Public Types inherited from itk::MultipleValuedNonLinearVnlOptimizer
using ConstPointer = SmartPointer< const Self >
 
using ParametersType = Superclass::ParametersType
 
using Pointer = SmartPointer< Self >
 
using Self = MultipleValuedNonLinearVnlOptimizer
 
using Superclass = MultipleValuedNonLinearOptimizer
 
- Public Types inherited from itk::MultipleValuedNonLinearOptimizer
using ConstPointer = SmartPointer< const Self >
 
using CostFunctionPointer = CostFunctionType::Pointer
 
using CostFunctionType = MultipleValuedCostFunction
 
using DerivativeType = Array2D< double >
 
using MeasureType = Array< double >
 
using ParametersType = Superclass::ParametersType
 
using Pointer = SmartPointer< Self >
 
using Self = MultipleValuedNonLinearOptimizer
 
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

virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual const char * GetNameOfClass () const
 
vnl_levenberg_marquardt * GetOptimizer () const
 
const std::string GetStopConditionDescription () const override
 
MeasureType GetValue () const
 
void SetCostFunction (MultipleValuedCostFunction *costFunction) override
 
void SetEpsilonFunction (double epsilon)
 
void SetGradientTolerance (double tol)
 
void SetNumberOfIterations (unsigned int iterations)
 
void SetValueTolerance (double tol)
 
void StartOptimization () override
 
- Public Member Functions inherited from itk::MultipleValuedNonLinearVnlOptimizer
bool GetUseCostFunctionGradient () const
 
void SetUseCostFunctionGradient (bool)
 
void UseCostFunctionGradientOff ()
 
void UseCostFunctionGradientOn ()
 
virtual const MeasureTypeGetCachedValue () const
 
virtual const DerivativeTypeGetCachedDerivative () const
 
virtual const ParametersTypeGetCachedCurrentPosition () const
 
- Public Member Functions inherited from itk::MultipleValuedNonLinearOptimizer
virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual void SetCostFunction (CostFunctionType *costFunction)
 
- Public Member Functions inherited from itk::NonLinearOptimizer
virtual ::itk::LightObject::Pointer CreateAnother () const
 
- Public Member Functions inherited from itk::Optimizer
virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual const ParametersTypeGetCurrentPosition () const
 
virtual const ParametersTypeGetInitialPosition () const
 
virtual void SetInitialPosition (const ParametersType &param)
 
void SetScales (const ScalesType &scales)
 
virtual const ScalesTypeGetScales () const
 
virtual const ScalesTypeGetInverseScales () const
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () 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 noexceptoverride
 
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
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::MultipleValuedNonLinearOptimizer
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 flag)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 

Protected Types

using CostFunctionAdaptorType = Superclass::CostFunctionAdaptorType
 
- Protected Types inherited from itk::MultipleValuedNonLinearVnlOptimizer
using CommandType = ReceptorMemberCommand< Self >
 
using CostFunctionAdaptorType = MultipleValuedVnlCostFunctionAdaptor
 

Protected Member Functions

 LevenbergMarquardtOptimizer ()
 
 ~LevenbergMarquardtOptimizer () override
 
- Protected Member Functions inherited from itk::MultipleValuedNonLinearVnlOptimizer
const CostFunctionAdaptorTypeGetCostFunctionAdaptor () const
 
CostFunctionAdaptorTypeGetCostFunctionAdaptor ()
 
CostFunctionAdaptorTypeGetNonConstCostFunctionAdaptor () const
 
 MultipleValuedNonLinearVnlOptimizer ()
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void SetCostFunctionAdaptor (CostFunctionAdaptorType *adaptor)
 
 ~MultipleValuedNonLinearVnlOptimizer () override
 
- Protected Member Functions inherited from itk::MultipleValuedNonLinearOptimizer
 MultipleValuedNonLinearOptimizer ()
 
 ~MultipleValuedNonLinearOptimizer () override=default
 
- Protected Member Functions inherited from itk::NonLinearOptimizer
 NonLinearOptimizer ()=default
 
 ~NonLinearOptimizer () override
 
- Protected Member Functions inherited from itk::Optimizer
 Optimizer ()
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
virtual void SetCurrentPosition (const ParametersType &param)
 
 ~Optimizer () override=default
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
 ~Object () override
 
- 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 ()
 

Private Attributes

double m_EpsilonFunction
 
double m_GradientTolerance
 
unsigned int m_NumberOfIterations
 
bool m_OptimizerInitialized
 
double m_ValueTolerance
 
InternalOptimizerTypem_VnlOptimizer
 

Additional Inherited Members

- Protected Attributes inherited from itk::MultipleValuedNonLinearOptimizer
CostFunctionPointer m_CostFunction
 
- Protected Attributes inherited from itk::Optimizer
ParametersType m_CurrentPosition
 
bool m_ScalesInitialized { false }
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount
 

Member Typedef Documentation

Definition at line 43 of file itkLevenbergMarquardtOptimizer.h.

using itk::LevenbergMarquardtOptimizer::CostFunctionAdaptorType = Superclass::CostFunctionAdaptorType
protected

Definition at line 83 of file itkLevenbergMarquardtOptimizer.h.

Internal optimizer type.

Definition at line 55 of file itkLevenbergMarquardtOptimizer.h.

InternalParameters type alias.

Definition at line 52 of file itkLevenbergMarquardtOptimizer.h.

Definition at line 42 of file itkLevenbergMarquardtOptimizer.h.

Standard "Self" type alias.

Definition at line 40 of file itkLevenbergMarquardtOptimizer.h.

Definition at line 41 of file itkLevenbergMarquardtOptimizer.h.

Constructor & Destructor Documentation

itk::LevenbergMarquardtOptimizer::LevenbergMarquardtOptimizer ( )
protected
itk::LevenbergMarquardtOptimizer::~LevenbergMarquardtOptimizer ( )
overrideprotected

Member Function Documentation

virtual::itk::LightObject::Pointer itk::LevenbergMarquardtOptimizer::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::Object.

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

Run-time type information (and related methods).

Reimplemented from itk::MultipleValuedNonLinearVnlOptimizer.

vnl_levenberg_marquardt* itk::LevenbergMarquardtOptimizer::GetOptimizer ( ) const

Method for getting access to the internal optimizer.

const std::string itk::LevenbergMarquardtOptimizer::GetStopConditionDescription ( ) const
overridevirtual

Get the reason for termination

Reimplemented from itk::Optimizer.

MeasureType itk::LevenbergMarquardtOptimizer::GetValue ( ) const

Get the current value

static Pointer itk::LevenbergMarquardtOptimizer::New ( )
static

Method for creation through the object factory.

void itk::LevenbergMarquardtOptimizer::SetCostFunction ( MultipleValuedCostFunction costFunction)
overridevirtual

Plug in a Cost Function into the optimizer

Implements itk::MultipleValuedNonLinearVnlOptimizer.

void itk::LevenbergMarquardtOptimizer::SetEpsilonFunction ( double  epsilon)
void itk::LevenbergMarquardtOptimizer::SetGradientTolerance ( double  tol)
void itk::LevenbergMarquardtOptimizer::SetNumberOfIterations ( unsigned int  iterations)
void itk::LevenbergMarquardtOptimizer::SetValueTolerance ( double  tol)
void itk::LevenbergMarquardtOptimizer::StartOptimization ( )
overridevirtual

Start optimization with an initial value.

Reimplemented from itk::Optimizer.

Member Data Documentation

double itk::LevenbergMarquardtOptimizer::m_EpsilonFunction
private

Definition at line 91 of file itkLevenbergMarquardtOptimizer.h.

double itk::LevenbergMarquardtOptimizer::m_GradientTolerance
private

Definition at line 90 of file itkLevenbergMarquardtOptimizer.h.

unsigned int itk::LevenbergMarquardtOptimizer::m_NumberOfIterations
private

Definition at line 88 of file itkLevenbergMarquardtOptimizer.h.

bool itk::LevenbergMarquardtOptimizer::m_OptimizerInitialized
private

Definition at line 86 of file itkLevenbergMarquardtOptimizer.h.

double itk::LevenbergMarquardtOptimizer::m_ValueTolerance
private

Definition at line 89 of file itkLevenbergMarquardtOptimizer.h.

InternalOptimizerType* itk::LevenbergMarquardtOptimizer::m_VnlOptimizer
private

Definition at line 87 of file itkLevenbergMarquardtOptimizer.h.


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