Aim: Used to minimize the angle variation between different angles while taking into accounts min and max constraints. Example (. More...

#include <DGtal/math/AngleLinearMinimizer.h>

Inheritance diagram for DGtal::AngleLinearMinimizer:

[legend]

Data Structures
struct	ValueInfo

Public Member Functions
virtual	~AngleLinearMinimizer ()

	AngleLinearMinimizer ()

void	reset ()

void	init (unsigned int nbMax)

ValueInfo &	rw (unsigned int i)

const ValueInfo &	ro (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

virtual double	lastDelta () 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)

Protected Attributes
bool	myIsCurveOpen

ValueInfo *	myValues

unsigned int	mySize

Private Member Functions
	AngleLinearMinimizer (const AngleLinearMinimizer &other)

AngleLinearMinimizer &	operator= (const AngleLinearMinimizer &other)

Private Attributes
unsigned int	myMaxSize

double	mySum

double	myMax

Detailed Description

Aim: Used to minimize the angle variation between different angles while taking into accounts min and max constraints. Example (.

Description of class 'AngleLinearMinimizer'

See also: math/testAngleLinearMinimizer.cpp)
double delta= alm.optimize();

double aPrecision=0.00001;

while(delta >aPrecision){

delta= alm.optimize();

cerr << "sum of displacements " << delta << endl;

}

Definition at line 67 of file AngleLinearMinimizer.h.

Constructor & Destructor Documentation

◆ ~AngleLinearMinimizer()

virtual DGtal::AngleLinearMinimizer::~AngleLinearMinimizer ( )

virtual

Destructor.

◆ AngleLinearMinimizer() [1/2]

DGtal::AngleLinearMinimizer::AngleLinearMinimizer ( )

Constructor.

◆ AngleLinearMinimizer() [2/2]

DGtal::AngleLinearMinimizer::AngleLinearMinimizer ( const AngleLinearMinimizer & other )

private

Copy constructor.

Parameters

other the object to clone. Forbidden by default.

Member Function Documentation

◆ className()

std::string DGtal::AngleLinearMinimizer::className ( ) const

Returns: the style name used for drawing this object.

◆ getEnergy()

double DGtal::AngleLinearMinimizer::getEnergy	(	unsigned int	i1,
		unsigned int	i2 ) const

Parameters

i1	the first value to be optimized (between 0 and 'size()-1').
i2	the value after the last to be optimized (between 0 and 'size()-1')

Returns: the current energy of the system.

◆ getFormerEnergy()

double DGtal::AngleLinearMinimizer::getFormerEnergy	(	unsigned int	i1,
		unsigned int	i2 ) const

Parameters

i1	the first value to be optimized (between 0 and 'size()-1').
i2	the value after the last to be optimized (between 0 and 'size()-1')

Returns: the former energy of the system.

◆ getFormerGradient()

std::vector< double > DGtal::AngleLinearMinimizer::getFormerGradient ( ) const

Returns: the energy gradient computed at the former position.

◆ getGradient()

std::vector< double > DGtal::AngleLinearMinimizer::getGradient ( ) const

Returns: the energy gradient computed at the current position.

◆ init()

void DGtal::AngleLinearMinimizer::init ( unsigned int nbMax )

(Re-)initializes the linear minimizer.

Parameters

nbMax an upper bound for the number of values to optimize.

Referenced by testAngleLinearMinimizer().

◆ isValid()

bool DGtal::AngleLinearMinimizer::isValid ( ) const

Checks the validity/consistency of the object.

Returns: 'true' if the object is valid, 'false' otherwise.

◆ lastDelta()

virtual double DGtal::AngleLinearMinimizer::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 in DGtal::AngleLinearMinimizerByAdaptiveStepGradientDescent, DGtal::AngleLinearMinimizerByGradientDescent, and DGtal::AngleLinearMinimizerByRelaxation.

◆ max()

double DGtal::AngleLinearMinimizer::max ( ) const

Max of all the absolute displacements of the last optimisation step.

◆ maxSize()

unsigned int DGtal::AngleLinearMinimizer::maxSize ( ) const

Returns: the maximum number of values stored in the object.

◆ oneStep()

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

protectedvirtual

The method which performs the optimization effectively. The user may override it. The optimization is performed on values [i1] included to [i2] excluded. Afterwards, the field ValueInfo::value should contain the new value.

Parameters

i1	the first value to be optimized (between 0 and 'size()-1').
i2	the value after the last to be optimized (between 0 and 'size()-1').

Reimplemented in DGtal::AngleLinearMinimizerByAdaptiveStepGradientDescent, DGtal::AngleLinearMinimizerByGradientDescent, and DGtal::AngleLinearMinimizerByRelaxation.

◆ operator=()

AngleLinearMinimizer & DGtal::AngleLinearMinimizer::operator= ( const AngleLinearMinimizer & other )

private

Assignment.

Parameters

other the object to copy.

Returns: a reference on 'this'. Forbidden by default.

◆ optimize() [1/2]

double DGtal::AngleLinearMinimizer::optimize ( )

Move each value on the straight line joining its neighboring values while maintaining the value between its bounds. The optimization is performed on all values. After preparing datas, calls oneStep, which may be overriden.

Returns: the sum of the displacements.

See also: oneStep

Referenced by testAngleLinearMinimizer().

◆ optimize() [2/2]

double DGtal::AngleLinearMinimizer::optimize	(	unsigned int	i1,
		unsigned int	i2 )

Move each value on the straight line joining its neighboring values while maintaining the value between its bounds. The optimization is performed on values [i1] included to [i2] excluded. After preparing datas, calls oneStep, which may be overriden. Then, computes max and sum of displacements.

Parameters

i1	the first value to be optimized (between 0 and 'size()-1').
i2	the value after the last to be optimized (between 0 and 'size()-1').

Returns: the sum of the displacements.

See also: oneStep

◆ reset()

void DGtal::AngleLinearMinimizer::reset ( )

Reset all. The object is as if it has just been created.

◆ ro()

const ValueInfo & DGtal::AngleLinearMinimizer::ro ( unsigned int i ) const

Returns: a const reference on the information structure of the [i]th value.

Referenced by testAngleLinearMinimizer().

◆ rw()

ValueInfo & DGtal::AngleLinearMinimizer::rw ( unsigned int i )

Returns: a reference on the information structure of the [i]th value.

Referenced by testAngleLinearMinimizer().

◆ selfDisplay()

void DGtal::AngleLinearMinimizer::selfDisplay ( std::ostream & out ) const

Writes/Displays the object on an output stream.

Parameters

out	the output stream where the object is written.

◆ setIsCurveOpen()

void DGtal::AngleLinearMinimizer::setIsCurveOpen ( bool is_curve_open = false )

Specifies if the curve is open or not.

Parameters

is_curve_open when 'true' the curve is open and the last value does not depend on the first one, otherwise the curve is closed and the last value is linked to the first one.

Referenced by testAngleLinearMinimizer().

◆ setSize()

void DGtal::AngleLinearMinimizer::setSize ( unsigned int nb )

Specifies the exact number of valid values.

Parameters

nb	any number below 'maxSize()'.

◆ size()

unsigned int DGtal::AngleLinearMinimizer::size ( ) const

Returns: the number of values stored in the object.

◆ sum()

double DGtal::AngleLinearMinimizer::sum ( ) const

Sum of all the absolute displacements of the last optimisation step.

Field Documentation

◆ myIsCurveOpen

bool DGtal::AngleLinearMinimizer::myIsCurveOpen

protected

Indicates if the curve is open.

Definition at line 298 of file AngleLinearMinimizer.h.

◆ myMax

double DGtal::AngleLinearMinimizer::myMax

private

Max of all the absolute displacements of the last optimisation step.

Definition at line 329 of file AngleLinearMinimizer.h.

◆ myMaxSize

unsigned int DGtal::AngleLinearMinimizer::myMaxSize

private

The size of the array myValues, ie the maximal number of valid values.

Definition at line 316 of file AngleLinearMinimizer.h.

◆ mySize

unsigned int DGtal::AngleLinearMinimizer::mySize

protected

The meaningful size of the array [myValues], ie the number of valid entries.

Definition at line 309 of file AngleLinearMinimizer.h.

◆ mySum

double DGtal::AngleLinearMinimizer::mySum

private

Sum of all the absolute displacements of the last optimisation step.

Definition at line 324 of file AngleLinearMinimizer.h.

◆ myValues

ValueInfo* DGtal::AngleLinearMinimizer::myValues

protected

The dynamically allocated array of values and the associated constraints.

Definition at line 303 of file AngleLinearMinimizer.h.

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

AngleLinearMinimizer.h

Data Structures

Public Member Functions

Protected Member Functions

Protected Attributes

Private Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ ~AngleLinearMinimizer()

◆ AngleLinearMinimizer() [1/2]

◆ AngleLinearMinimizer() [2/2]

Member Function Documentation

◆ className()

◆ getEnergy()

◆ getFormerEnergy()

◆ getFormerGradient()

◆ getGradient()

◆ init()

◆ isValid()

◆ lastDelta()

◆ max()

◆ maxSize()

◆ oneStep()

◆ operator=()

◆ optimize() [1/2]

◆ optimize() [2/2]

◆ reset()

◆ ro()

◆ rw()

◆ selfDisplay()

◆ setIsCurveOpen()

◆ setSize()

◆ size()

◆ sum()

Field Documentation

◆ myIsCurveOpen

◆ myMax

◆ myMaxSize

◆ mySize

◆ mySum

◆ myValues