ITK
4.2.0
Insight Segmentation and Registration Toolkit
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#include <itkLevenbergMarquardtOptimizer.h>
Public Types | |
typedef SmartPointer< const Self > | ConstPointer |
typedef vnl_levenberg_marquardt | InternalOptimizerType |
typedef vnl_vector< double > | InternalParametersType |
typedef SmartPointer< Self > | Pointer |
typedef LevenbergMarquardtOptimizer | Self |
typedef MultipleValuedNonLinearVnlOptimizer | Superclass |
Public Types inherited from itk::MultipleValuedNonLinearVnlOptimizer | |
typedef Superclass::ParametersType | ParametersType |
Public Types inherited from itk::MultipleValuedNonLinearOptimizer | |
typedef CostFunctionType::Pointer | CostFunctionPointer |
typedef MultipleValuedCostFunction | CostFunctionType |
typedef Array2D< double > | DerivativeType |
typedef Array< double > | MeasureType |
Public Types inherited from itk::NonLinearOptimizer | |
typedef Superclass::ScalesType | ScalesType |
Public Types inherited from itk::Optimizer | |
Public Types inherited from itk::Object | |
Public Types inherited from itk::LightObject |
Static Public Member Functions | |
static Pointer | New () |
Protected Types | |
typedef Superclass::CostFunctionAdaptorType | CostFunctionAdaptorType |
Protected Types inherited from itk::MultipleValuedNonLinearVnlOptimizer | |
typedef ReceptorMemberCommand < Self > | CommandType |
Private Member Functions | |
LevenbergMarquardtOptimizer (const Self &) | |
void | operator= (const Self &) |
Private Attributes | |
double | m_EpsilonFunction |
double | m_GradientTolerance |
unsigned int | m_NumberOfIterations |
bool | m_OptimizerInitialized |
double | m_ValueTolerance |
InternalOptimizerType * | m_VnlOptimizer |
Wrap of the vnl_levenberg_marquardt algorithm.
Definition at line 32 of file itkLevenbergMarquardtOptimizer.h.
typedef SmartPointer< const Self > itk::LevenbergMarquardtOptimizer::ConstPointer |
Reimplemented from itk::MultipleValuedNonLinearVnlOptimizer.
Definition at line 40 of file itkLevenbergMarquardtOptimizer.h.
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Reimplemented from itk::MultipleValuedNonLinearVnlOptimizer.
Definition at line 80 of file itkLevenbergMarquardtOptimizer.h.
typedef vnl_levenberg_marquardt itk::LevenbergMarquardtOptimizer::InternalOptimizerType |
Internal optimizer type.
Definition at line 52 of file itkLevenbergMarquardtOptimizer.h.
typedef vnl_vector< double > itk::LevenbergMarquardtOptimizer::InternalParametersType |
InternalParameters typedef.
Definition at line 46 of file itkLevenbergMarquardtOptimizer.h.
Reimplemented from itk::MultipleValuedNonLinearVnlOptimizer.
Definition at line 39 of file itkLevenbergMarquardtOptimizer.h.
Standard "Self" typedef.
Reimplemented from itk::MultipleValuedNonLinearVnlOptimizer.
Definition at line 37 of file itkLevenbergMarquardtOptimizer.h.
Reimplemented from itk::MultipleValuedNonLinearVnlOptimizer.
Definition at line 38 of file itkLevenbergMarquardtOptimizer.h.
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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::MultipleValuedNonLinearOptimizer.
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Run-time type information (and related methods).
Reimplemented from itk::MultipleValuedNonLinearVnlOptimizer.
vnl_levenberg_marquardt* itk::LevenbergMarquardtOptimizer::GetOptimizer | ( | void | ) | const |
Method for getting access to the internal optimizer.
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Get the reason for termination
Reimplemented from itk::Optimizer.
MeasureType itk::LevenbergMarquardtOptimizer::GetValue | ( | ) | const |
Get the current value
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Method for creation through the object factory.
Reimplemented from itk::MultipleValuedNonLinearOptimizer.
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Command observer that will interact with the ITKVNL cost-function adaptor in order to generate iteration events. This will allow to overcome the limitation of VNL optimizers not offering callbacks for every iteration
Reimplemented from itk::MultipleValuedNonLinearVnlOptimizer.
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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 | ) |
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Start optimization with an initial value.
Reimplemented from itk::Optimizer.
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Definition at line 90 of file itkLevenbergMarquardtOptimizer.h.
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Definition at line 89 of file itkLevenbergMarquardtOptimizer.h.
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Definition at line 87 of file itkLevenbergMarquardtOptimizer.h.
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Definition at line 85 of file itkLevenbergMarquardtOptimizer.h.
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Definition at line 88 of file itkLevenbergMarquardtOptimizer.h.
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Definition at line 86 of file itkLevenbergMarquardtOptimizer.h.