#include <itkLBFGSBOptimizer.h>
Inheritance diagram for itk::LBFGSBOptimizer:
This class is a wrapper for converted fortan code for performing limited memory Broyden Fletcher Goldfarb Shannon minimization with simple bounds. The algorithm miminizes a nonlinear function f(x) of n variables subject to simple bound constraints of l <= x <= u.
See also the documentation in Numerics/lbfgsb.c
References:
[1] R. H. Byrd, P. Lu and J. Nocedal. A Limited Memory Algorithm for Bound Constrained Optimization, (1995), SIAM Journal on Scientific and Statistical Computing , 16, 5, pp. 1190-1208.
[2] C. Zhu, R. H. Byrd and J. Nocedal. L-BFGS-B: Algorithm 778: L-BFGS-B, FORTRAN routines for large scale bound constrained optimization (1997), ACM Transactions on Mathematical Software, Vol 23, Num. 4, pp. 550 - 560.
Definition at line 51 of file itkLBFGSBOptimizer.h.
| typedef Array<long> itk::LBFGSBOptimizer::BoundSelectionType |
BoundSelection type Use for defining the boundary condition for each variables.
Definition at line 75 of file itkLBFGSBOptimizer.h.
| typedef Array<double> itk::LBFGSBOptimizer::BoundValueType |
BoundValue type. Use for defining the lower and upper bounds on the variables.
Definition at line 65 of file itkLBFGSBOptimizer.h.
| typedef SmartPointer<const Self> itk::LBFGSBOptimizer::ConstPointer |
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 59 of file itkLBFGSBOptimizer.h.
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 82 of file itkLBFGSBOptimizer.h.
Type of the Cost Function
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 81 of file itkLBFGSBOptimizer.h.
typedef CostFunctionType::DerivativeType itk::SingleValuedNonLinearOptimizer::DerivativeType [inherited] |
Derivative type. It defines a type used to return the cost function derivative.
Definition at line 64 of file itkSingleValuedNonLinearOptimizer.h.
Measure type. It defines a type used to return the cost function value.
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 83 of file itkLBFGSBOptimizer.h.
typedef Superclass::ParametersType itk::SingleValuedNonLinearOptimizer::ParametersType [inherited] |
Parameters type. It defines a position in the optimization search space.
Reimplemented from itk::NonLinearOptimizer.
Reimplemented in itk::AmoebaOptimizer, itk::FRPROptimizer, itk::PowellOptimizer, and itk::QuaternionRigidTransformGradientDescentOptimizer.
Definition at line 48 of file itkSingleValuedNonLinearOptimizer.h.
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 58 of file itkLBFGSBOptimizer.h.
typedef Superclass::ScalesType itk::NonLinearOptimizer::ScalesType [inherited] |
Scale type. This array defines scale to be applied to parameters before being evaluated in the cost function. This allows to map to a more convenient space. In particular this is used to normalize parameter spaces in which some parameters have a different dynamic range.
Reimplemented from itk::Optimizer.
Definition at line 52 of file itkNonLinearOptimizer.h.
Standard "Self" typedef.
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 56 of file itkLBFGSBOptimizer.h.
Reimplemented from itk::SingleValuedNonLinearOptimizer.
Definition at line 57 of file itkLBFGSBOptimizer.h.
| itk::LBFGSBOptimizer::LBFGSBOptimizer | ( | ) | [protected] |
| virtual itk::LBFGSBOptimizer::~LBFGSBOptimizer | ( | ) | [protected, virtual] |
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | const [inherited] |
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
| static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
| virtual LightObject::Pointer itk::Object::CreateAnother | ( | ) | const [virtual, inherited] |
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::LightObject.
| virtual void itk::Object::DebugOff | ( | ) | const [virtual, inherited] |
Turn debugging output off.
| virtual void itk::Object::DebugOn | ( | ) | const [virtual, inherited] |
Turn debugging output on.
| virtual void itk::LightObject::Delete | ( | ) | [virtual, inherited] |
Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.
| virtual const BoundSelectionType& itk::LBFGSBOptimizer::GetBoundSelection | ( | ) | [virtual] |
| Command* itk::Object::GetCommand | ( | unsigned long | tag | ) | [inherited] |
Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.
| virtual const CostFunctionType* itk::SingleValuedNonLinearOptimizer::GetCostFunction | ( | ) | [virtual, inherited] |
Get the cost function.
| virtual double itk::LBFGSBOptimizer::GetCostFunctionConvergenceFactor | ( | ) | [virtual] |
| virtual const unsigned int& itk::LBFGSBOptimizer::GetCurrentIteration | ( | ) | [virtual] |
Get the current iteration number.
| virtual const ParametersType& itk::Optimizer::GetCurrentPosition | ( | ) | [virtual, inherited] |
Get current position of the optimization.
| bool itk::Object::GetDebug | ( | ) | const [inherited] |
Get the value of the debug flag.
| static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
| virtual const double& itk::LBFGSBOptimizer::GetInfinityNormOfProjectedGradient | ( | ) | [virtual] |
Get the current infinity norm of the project gradient of the cost function.
| virtual const ParametersType& itk::Optimizer::GetInitialPosition | ( | ) | [virtual, inherited] |
Get the position to initialize the optimization.
| virtual const BoundValueType& itk::LBFGSBOptimizer::GetLowerBound | ( | ) | [virtual] |
| virtual unsigned int itk::LBFGSBOptimizer::GetMaximumNumberOfCorrections | ( | ) | [virtual] |
| virtual unsigned int itk::LBFGSBOptimizer::GetMaximumNumberOfEvaluations | ( | ) | [virtual] |
| virtual unsigned int itk::LBFGSBOptimizer::GetMaximumNumberOfIterations | ( | ) | [virtual] |
| const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
| MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
| virtual unsigned long itk::Object::GetMTime | ( | ) | const [virtual, inherited] |
Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().
| virtual const char* itk::LBFGSBOptimizer::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::SingleValuedNonLinearOptimizer.
| virtual double itk::LBFGSBOptimizer::GetProjectedGradientTolerance | ( | ) | [virtual] |
| virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 98 of file itkLightObject.h.
| virtual const ScalesType& itk::Optimizer::GetScales | ( | ) | [virtual, inherited] |
Get current parameters scaling.
| virtual const BoundValueType& itk::LBFGSBOptimizer::GetUpperBound | ( | ) | [virtual] |
| MeasureType itk::SingleValuedNonLinearOptimizer::GetValue | ( | const ParametersType & | parameters | ) | const [inherited] |
Get the cost function value at the given parameters.
Reimplemented in itk::SPSAOptimizer.
| virtual const MeasureType& itk::LBFGSBOptimizer::GetValue | ( | ) | [virtual] |
Get the current cost function value.
| static void itk::Object::GlobalWarningDisplayOff | ( | ) | [inline, static, inherited] |
| static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
| bool itk::Object::HasObserver | ( | const EventObject & | event | ) | const [inherited] |
Return true if an observer is registered for this event.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | const [inherited] |
Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | [inherited] |
Call Execute on all the Commands observing this event id.
| virtual void itk::Object::Modified | ( | ) | const [virtual, inherited] |
Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.
Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
| static Pointer itk::LBFGSBOptimizer::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::SingleValuedNonLinearOptimizer.
| void itk::LightObject::Print | ( | std::ostream & | os, | |
| Indent | indent = 0 | |||
| ) | const [inherited] |
Cause the object to print itself out.
Referenced by itk::WeakPointer< itk::ProcessObject >::Print().
| virtual void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, inherited] |
| void itk::LBFGSBOptimizer::PrintSelf | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual] |
Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::SingleValuedNonLinearOptimizer.
| virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| virtual void itk::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
| void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
| void itk::Object::RemoveObserver | ( | unsigned long | tag | ) | [inherited] |
Remove the observer with this tag value.
| virtual void itk::LBFGSBOptimizer::SetBoundSelection | ( | const BoundSelectionType & | select | ) | [virtual] |
Set the boundary condition for each variable, where select[i] = 0 if x[i] is unbounded, = 1 if x[i] has only a lower bound, = 2 if x[i] has both lower and upper bounds, and = 3 if x[1] has only an upper bound
| virtual void itk::SingleValuedNonLinearOptimizer::SetCostFunction | ( | CostFunctionType * | costFunction | ) | [virtual, inherited] |
Set the cost function.
| virtual void itk::LBFGSBOptimizer::SetCostFunctionConvergenceFactor | ( | double | _arg | ) | [virtual] |
Set/Get the CostFunctionConvergenceFactor. Algorithm terminates when the reduction in cost function is less than factor * epsmcj where epsmch is the machine precision. Typical values for factor: 1e+12 for low accuracy; 1e+7 for moderate accuracy and 1e+1 for extremely high accuracy.
| virtual void itk::Optimizer::SetCurrentPosition | ( | const ParametersType & | param | ) | [protected, virtual, inherited] |
Set the current position.
| void itk::Object::SetDebug | ( | bool | debugFlag | ) | const [inherited] |
Set the value of the debug flag. A non-zero value turns debugging on.
| static void itk::Object::SetGlobalWarningDisplay | ( | bool | flag | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().
| virtual void itk::Optimizer::SetInitialPosition | ( | const ParametersType & | param | ) | [virtual, inherited] |
Set the position to initialize the optimization.
| virtual void itk::LBFGSBOptimizer::SetLowerBound | ( | const BoundValueType & | value | ) | [virtual] |
Set the lower bound value for each variable.
| virtual void itk::LBFGSBOptimizer::SetMaximumNumberOfCorrections | ( | unsigned int | _arg | ) | [virtual] |
Set/Get the MaximumNumberOfCorrections. Default is 5
| virtual void itk::LBFGSBOptimizer::SetMaximumNumberOfEvaluations | ( | unsigned int | _arg | ) | [virtual] |
Set/Get the MaximumNumberOfEvaluations. Default is 500
| virtual void itk::LBFGSBOptimizer::SetMaximumNumberOfIterations | ( | unsigned int | _arg | ) | [virtual] |
Set/Get the MaximumNumberOfIterations. Default is 500
| void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
| virtual void itk::LBFGSBOptimizer::SetProjectedGradientTolerance | ( | double | _arg | ) | [virtual] |
Set/Get the ProjectedGradientTolerance. Algorithm terminates when the project gradient is below the tolerance. Default value is 1e-5.
| virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
| void itk::Optimizer::SetScales | ( | const ScalesType & | scales | ) | [inherited] |
Set current parameters scaling.
| void itk::LBFGSBOptimizer::SetScales | ( | const ScalesType & | ) | [inline] |
This optimizer does not support scaling of the derivatives.
Definition at line 139 of file itkLBFGSBOptimizer.h.
References itkExceptionMacro.
| virtual void itk::LBFGSBOptimizer::SetUpperBound | ( | const BoundValueType & | value | ) | [virtual] |
Set the upper bound value for each variable.
| void itk::LBFGSBOptimizer::StartOptimization | ( | void | ) | [virtual] |
Start optimization with an initial value.
Reimplemented from itk::Optimizer.
| virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
CostFunctionPointer itk::SingleValuedNonLinearOptimizer::m_CostFunction [protected, inherited] |
Definition at line 80 of file itkSingleValuedNonLinearOptimizer.h.
volatile int itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 119 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 122 of file itkLightObject.h.
bool itk::Optimizer::m_ScalesInitialized [protected, inherited] |
Definition at line 90 of file itkOptimizer.h.
1.5.1 written by Dimitri van Heesch,
© 1997-2000