18#ifndef __elxStandardGradientDescent_h
19#define __elxStandardGradientDescent_h
67template<
class TElastix >
80 typedef itk::SmartPointer< Self >
Pointer;
141 itkSetMacro( MaximumNumberOfSamplingAttempts,
unsigned long );
144 itkGetConstReferenceMacro( MaximumNumberOfSamplingAttempts,
unsigned long );
165#ifndef ITK_MANUAL_INSTANTIATION
166#include "elxStandardGradientDescent.hxx"
A class that deals with user given parameters and command line arguments.
This class is the elastix base class for all Optimizers.
Superclass::ConfigurationPointer ConfigurationPointer
itk::Optimizer ITKBaseType
Superclass::ElastixType ElastixType
Superclass::ElastixPointer ElastixPointer
Superclass::RegistrationPointer RegistrationPointer
Superclass::RegistrationType RegistrationType
A gradient descent optimizer with a decaying gain.
Superclass2::ConfigurationType ConfigurationType
Superclass2::ConfigurationPointer ConfigurationPointer
~StandardGradientDescent() override
void AfterEachResolution(void) override
Superclass1::StopConditionType StopConditionType
Superclass2::ITKBaseType ITKBaseType
unsigned long m_PreviousErrorAtIteration
void operator=(const Self &)
Superclass1::CostFunctionType CostFunctionType
Superclass1::CostFunctionPointer CostFunctionPointer
elxClassNameMacro("StandardGradientDescent")
itk::SmartPointer< const Self > ConstPointer
Superclass2::ElastixPointer ElastixPointer
StandardGradientDescentOptimizer Superclass1
void MetricErrorResponse(itk::ExceptionObject &err) override
Superclass2::RegistrationPointer RegistrationPointer
void AfterRegistration(void) override
unsigned long m_MaximumNumberOfSamplingAttempts
Superclass1::ParametersType ParametersType
OptimizerBase< TElastix > Superclass2
void StartOptimization(void) override
void BeforeEachResolution(void) override
StandardGradientDescent(const Self &)
Superclass2::ElastixType ElastixType
void SetCurrentPositionPublic(const ParametersType ¶m) override
void AfterEachIteration(void) override
itk::SmartPointer< Self > Pointer
StandardGradientDescent()
StandardGradientDescent Self
unsigned long m_CurrentNumberOfSamplingAttempts
void BeforeRegistration(void) override
Superclass2::RegistrationType RegistrationType
Superclass::ParametersType ParametersType
void SetCurrentPosition(const ParametersType ¶m) override
This class implements a gradient descent optimizer with a decaying gain.
Superclass::ParametersType ParametersType
Superclass::CostFunctionType CostFunctionType
Superclass::StopConditionType StopConditionType