DGtal  0.9.3beta
Public Member Functions | Protected Member Functions | Private Attributes
DGtal::AngleLinearMinimizerByAdaptiveStepGradientDescent Class Reference

#include <DGtal/math/AngleLinearMinimizer.h>

Inheritance diagram for DGtal::AngleLinearMinimizerByAdaptiveStepGradientDescent:
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Collaboration diagram for DGtal::AngleLinearMinimizerByAdaptiveStepGradientDescent:
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Public Member Functions

 AngleLinearMinimizerByAdaptiveStepGradientDescent (double step=0.1)
 
virtual ~AngleLinearMinimizerByAdaptiveStepGradientDescent ()
 
virtual double lastDelta () const
 
virtual void selfDisplay (std::ostream &aStream) const
 
- Public Member Functions inherited from DGtal::AngleLinearMinimizer
virtual ~AngleLinearMinimizer ()
 
 AngleLinearMinimizer ()
 
void reset ()
 
void init (unsigned int nbMax)
 
ValueInforw (unsigned int i)
 
const ValueInforo (unsigned int i) const
 
unsigned int maxSize () const
 
unsigned int size () const
 
void setSize (unsigned int nb)
 
void setIsCurveOpen (bool is_curve_open=false)
 
double getEnergy (unsigned int i1, unsigned int i2) const
 
double getFormerEnergy (unsigned int i1, unsigned int i2) const
 
std::vector< double > getGradient () const
 
std::vector< double > getFormerGradient () const
 
double optimize ()
 
double optimize (unsigned int i1, unsigned int i2)
 
double sum () const
 
double max () const
 
std::string className () const
 
void selfDisplay (std::ostream &out) const
 
bool isValid () const
 

Protected Member Functions

virtual void oneStep (unsigned int i1, unsigned int i2)
 

Private Attributes

double myStep
 

Additional Inherited Members

- Protected Attributes inherited from DGtal::AngleLinearMinimizer
bool myIsCurveOpen
 
ValueInfomyValues
 
unsigned int mySize
 

Detailed Description

Specializes AngleLinearMinimizer to optimize with an adaptive step gradient descent method.

Definition at line 472 of file AngleLinearMinimizer.h.

Constructor & Destructor Documentation

DGtal::AngleLinearMinimizerByAdaptiveStepGradientDescent::AngleLinearMinimizerByAdaptiveStepGradientDescent ( double  step = 0.1)

Default constructor. Does nothing.

virtual DGtal::AngleLinearMinimizerByAdaptiveStepGradientDescent::~AngleLinearMinimizerByAdaptiveStepGradientDescent ( )
virtual

Destructor. Does nothing.

Member Function Documentation

virtual double DGtal::AngleLinearMinimizerByAdaptiveStepGradientDescent::lastDelta ( ) const
virtual

Should be used to stop the minimization process. The smaller is this value, the more the optimization is at an end. May have several meanings, like the infinite norm of the last displacement or the infinite norm of the projected gradient.

Returns
an upper bound on the norm of the last displacement.

Reimplemented from DGtal::AngleLinearMinimizer.

virtual void DGtal::AngleLinearMinimizerByAdaptiveStepGradientDescent::oneStep ( unsigned int  i1,
unsigned int  i2 
)
protectedvirtual

The method which performs the optimization effectively. Use a relaxation technique. The optimization is performed on values [i1] included to [i2] excluded.

Parameters
i1the first value to be optimized (between 0 and 'size()-1').
i2the value after the last to be optimized (between 0 and 'size()-1').

Reimplemented from DGtal::AngleLinearMinimizer.

virtual void DGtal::AngleLinearMinimizerByAdaptiveStepGradientDescent::selfDisplay ( std::ostream &  aStream) const
virtual

Writes/Displays the object on an output stream.

Parameters
aStreamthe output stream where the object is written.

Field Documentation

double DGtal::AngleLinearMinimizerByAdaptiveStepGradientDescent::myStep
private

The current step for the gradient descent.

Definition at line 479 of file AngleLinearMinimizer.h.


The documentation for this class was generated from the following file: