15 #ifndef __itkQuasiNewtonLBFGSOptimizer_h
16 #define __itkQuasiNewtonLBFGSOptimizer_h
74 typedef std::vector< ParametersType >
SType;
75 typedef std::vector< DerivativeType >
YType;
98 itkGetConstMacro( CurrentIteration,
unsigned long );
101 itkGetConstMacro( InLineSearch,
bool );
103 itkGetConstMacro( CurrentStepLength,
double );
126 itkGetConstMacro( Memory,
unsigned int );
134 void PrintSelf( std::ostream & os, Indent indent )
const {}
154 itkSetMacro( InLineSearch,
bool );
419 #endif //#ifndef __itkQuasiNewtonLBFGSOptimizer_h
virtual bool TestConvergence(bool firstLineSearchDone)
Superclass::ParametersType ParametersType
MeasureType m_CurrentValue
Superclass::ScalesType ScalesType
Superclass::MeasureType MeasureType
virtual void ComputeDiagonalMatrix(DiagonalMatrixType &diag_H0)
SmartPointer< Self > Pointer
Superclass::DerivativeType DerivativeType
virtual ~QuasiNewtonLBFGSOptimizer()
StopConditionType m_StopCondition
Superclass::ParametersType ParametersType
SmartPointer< Self > Pointer
ITK version of the lbfgs algorithm ...
Superclass::CostFunctionType CostFunctionType
unsigned int m_PreviousPoint
ScaledSingleValuedNonLinearOptimizer Superclass
void operator=(const Self &)
Superclass::MeasureType MeasureType
std::vector< ParametersType > SType
Superclass::DerivativeType DerivativeType
QuasiNewtonLBFGSOptimizer Self
double m_GradientMagnitudeTolerance
unsigned long m_CurrentIteration
virtual void StartOptimization(void)
unsigned long m_MaximumNumberOfIterations
virtual void StoreCurrentPoint(const ParametersType &step, const DerivativeType &grad_dif)
LineSearchOptimizer LineSearchOptimizerType
Array< double > DiagonalMatrixType
Superclass::CostFunctionType CostFunctionType
virtual void ResumeOptimization(void)
LineSearchOptimizerPointer m_LineSearchOptimizer
double m_CurrentStepLength
ScaledSingleValuedCostFunction ScaledCostFunctionType
NonLinearOptimizer::ScalesType ScalesType
A base class for LineSearch optimizers.
std::vector< DerivativeType > YType
virtual void LineSearch(const ParametersType searchDir, double &step, ParametersType &x, MeasureType &f, DerivativeType &g)
Superclass::ScaledCostFunctionType ScaledCostFunctionType
LineSearchOptimizerType::Pointer LineSearchOptimizerPointer
void PrintSelf(std::ostream &os, Indent indent) const
QuasiNewtonLBFGSOptimizer()
virtual void ComputeSearchDirection(const DerivativeType &gradient, ParametersType &searchDir)
DerivativeType m_CurrentGradient
SmartPointer< const Self > ConstPointer
virtual void StopOptimization(void)