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18 #ifndef __elxStandardGradientDescent_h
19 #define __elxStandardGradientDescent_h
67 template<
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"
169 #endif // end #ifndef __elxStandardGradientDescent_h
virtual void MetricErrorResponse(itk::ExceptionObject &err)
Superclass2::RegistrationType RegistrationType
Superclass1::CostFunctionType CostFunctionType
Superclass::RegistrationPointer RegistrationPointer
virtual void BeforeEachResolution(void)
void operator=(const Self &)
Superclass::RegistrationType RegistrationType
Superclass::ConfigurationPointer ConfigurationPointer
Superclass2::ITKBaseType ITKBaseType
Superclass::CostFunctionType CostFunctionType
elxClassNameMacro("StandardGradientDescent")
Superclass2::ElastixType ElastixType
virtual ~StandardGradientDescent()
unsigned long m_PreviousErrorAtIteration
Superclass2::ConfigurationPointer ConfigurationPointer
This class is the elastix base class for all Optimizers.
OptimizerBase< TElastix > Superclass2
itk::SmartPointer< const Self > ConstPointer
This class implements a gradient descent optimizer with a decaying gain.
Superclass2::ElastixPointer ElastixPointer
Superclass2::ConfigurationType ConfigurationType
virtual void StartOptimization(void)
Superclass::StopConditionType StopConditionType
StandardGradientDescent()
virtual void SetCurrentPosition(const ParametersType ¶m)
virtual void SetCurrentPositionPublic(const ParametersType ¶m)
Superclass::ConfigurationType ConfigurationType
Superclass1::StopConditionType StopConditionType
Superclass::ElastixPointer ElastixPointer
Superclass2::RegistrationPointer RegistrationPointer
itk::SmartPointer< Self > Pointer
virtual void BeforeRegistration(void)
Superclass1::ParametersType ParametersType
virtual void AfterEachIteration(void)
StandardGradientDescentOptimizer Superclass1
Superclass1::CostFunctionPointer CostFunctionPointer
virtual void AfterEachResolution(void)
unsigned long m_MaximumNumberOfSamplingAttempts
Superclass::ParametersType ParametersType
StandardGradientDescent(const Self &)
StandardGradientDescent Self
A gradient descent optimizer with a decaying gain.
Superclass::ParametersType ParametersType
itk::Optimizer ITKBaseType
virtual void AfterRegistration(void)
Superclass::ElastixType ElastixType
unsigned long m_CurrentNumberOfSamplingAttempts
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