ModelFitting::GSLEngine Class Reference

LeastSquareEngine implementation which uses the GNU Scientific Library. More...

#include <GSLEngine.h>

Inheritance diagram for ModelFitting::GSLEngine:

Collaboration diagram for ModelFitting::GSLEngine:

Public Member Functions
	GSLEngine (int itmax=1000, double xtol=1e-8, double gtol=1e-8, double ftol=1e-8, double delta=1e-4)
	Constructs a new instance of the engine. More...
virtual	~GSLEngine ()=default
	Destructor. More...
LeastSquareSummary	solveProblem (EngineParameterManager &parameter_manager, ResidualEstimator &residual_estimator) override
Public Member Functions inherited from ModelFitting::LeastSquareEngine
virtual	~LeastSquareEngine ()=default
	Destructor. More...

Private Attributes
int	m_itmax
double	m_xtol
double	m_gtol
double	m_ftol
double	m_delta

Detailed Description

LeastSquareEngine implementation which uses the GNU Scientific Library.

See also

https://www.gnu.org/software/gsl/doc/html/nls.html

Definition at line 39 of file GSLEngine.h.

Constructor & Destructor Documentation

GSLEngine()

ModelFitting::GSLEngine::GSLEngine	(	int	itmax = 1000,
		double	xtol = 1e-8,
		double	gtol = 1e-8,
		double	ftol = 1e-8,
		double	delta = 1e-4
	)

Constructs a new instance of the engine.

Parameters

itmax	Maximum number of iteratios
xtol	Step tolerance: || xtol(|x_i| + xtol)
gtol	Gradient tolerance: {i}{max}|g_i max(x_i, 1)| gtol max((x),1)
ftol	Tolerance for the change in ^2 Some versions of the GSL library ignore this.
delta	Step size for finite difference Jacobian

Definition at line 40 of file GSLEngine.cpp.

~GSLEngine()

virtual ModelFitting::GSLEngine::~GSLEngine ( )

virtualdefault

Destructor.

Member Function Documentation

solveProblem()

LeastSquareSummary ModelFitting::GSLEngine::solveProblem ( ModelFitting::EngineParameterManager &  parameter_manager, ModelFitting::ResidualEstimator &  residual_estimator  )

overridevirtual

Solves the minimization problem using the levmar library. The returned summary contains as underlying_framework_info an std::array<double,10>, which keeps the information regarding the minimization as it is provided by levmar (for more info see http://users.ics.forth.gr/~lourakis/levmar).

Implements ModelFitting::LeastSquareEngine.

Definition at line 107 of file GSLEngine.cpp.

References ModelFitting::EngineParameterManager::convertCovarianceMatrixToWorldSpace(), ModelFitting::EngineParameterManager::getEngineValues(), m_delta, m_ftol, m_gtol, m_itmax, m_xtol, ModelFitting::EngineParameterManager::numberOfParameters(), ModelFitting::ResidualEstimator::numberOfResiduals(), ModelFitting::ResidualEstimator::populateResiduals(), std::vector< T >::push_back(), std::sqrt(), std::tie(), ModelFitting::EngineParameterManager::updateEngineValues(), and x.

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Member Data Documentation

m_delta

double ModelFitting::GSLEngine::m_delta

private

Definition at line 71 of file GSLEngine.h.

Referenced by solveProblem().

m_ftol

double ModelFitting::GSLEngine::m_ftol

private

Definition at line 71 of file GSLEngine.h.

Referenced by solveProblem().

m_gtol

double ModelFitting::GSLEngine::m_gtol

private

Definition at line 71 of file GSLEngine.h.

Referenced by solveProblem().

m_itmax

int ModelFitting::GSLEngine::m_itmax

private

Definition at line 70 of file GSLEngine.h.

Referenced by solveProblem().

m_xtol

double ModelFitting::GSLEngine::m_xtol

private

Definition at line 71 of file GSLEngine.h.

Referenced by solveProblem().

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

• ModelFitting/ModelFitting/Engine/GSLEngine.h
• ModelFitting/src/lib/Engine/GSLEngine.cpp