g2o::OptimizationAlgorithmGaussNewton Class Reference

Implementation of the Gauss Newton Algorithm. More...

#include <optimization_algorithm_gauss_newton.h>

Inheritance diagram for g2o::OptimizationAlgorithmGaussNewton:

Collaboration diagram for g2o::OptimizationAlgorithmGaussNewton:

Public Member Functions
	OptimizationAlgorithmGaussNewton (std::unique_ptr< Solver > solver)
virtual	~OptimizationAlgorithmGaussNewton ()
virtual SolverResult	solve (int iteration, bool online=false)
virtual void	printVerbose (std::ostream &os) const
Public Member Functions inherited from g2o::OptimizationAlgorithmWithHessian
	OptimizationAlgorithmWithHessian (Solver &solver)
virtual	~OptimizationAlgorithmWithHessian ()
virtual bool	init (bool online=false)
virtual bool	computeMarginals (SparseBlockMatrix< MatrixX > &spinv, const std::vector< std::pair< int, int > > &blockIndices)
virtual bool	buildLinearStructure ()
virtual void	updateLinearSystem ()
virtual bool	updateStructure (const std::vector< HyperGraph::Vertex * > &vset, const HyperGraph::EdgeSet &edges)
Solver &	solver ()
	return the underlying solver used to solve the linear system
virtual void	setWriteDebug (bool writeDebug)
virtual bool	writeDebug () const
Public Member Functions inherited from g2o::OptimizationAlgorithm
	OptimizationAlgorithm ()
virtual	~OptimizationAlgorithm ()
const SparseOptimizer *	optimizer () const
	return the optimizer operating on
SparseOptimizer *	optimizer ()
void	setOptimizer (SparseOptimizer *optimizer)
const PropertyMap &	properties () const
	return the properties of the solver
bool	updatePropertiesFromString (const std::string &propString)
void	printProperties (std::ostream &os) const

Private Attributes
std::unique_ptr< Solver >	m_solver

Additional Inherited Members
Protected Attributes inherited from g2o::OptimizationAlgorithmWithHessian
Solver &	_solver
Property< bool > *	_writeDebug
Protected Attributes inherited from g2o::OptimizationAlgorithm
SparseOptimizer *	_optimizer
	the optimizer the solver is working on
PropertyMap	_properties

Detailed Description

Implementation of the Gauss Newton Algorithm.

Definition at line 40 of file optimization_algorithm_gauss_newton.h.

Constructor & Destructor Documentation

OptimizationAlgorithmGaussNewton()

g2o::OptimizationAlgorithmGaussNewton::OptimizationAlgorithmGaussNewton ( std::unique_ptr< Solver > solver )

explicit

construct the Gauss Newton algorithm, which use the given Solver for solving the linearized system.

Definition at line 43 of file optimization_algorithm_gauss_newton.cpp.

References m_solver, g2o::OptimizationAlgorithmWithHessian::OptimizationAlgorithmWithHessian(), and g2o::OptimizationAlgorithmWithHessian::solver().

Referenced by g2o::SolverSLAM2DLinear::SolverSLAM2DLinear().

~OptimizationAlgorithmGaussNewton()

g2o::OptimizationAlgorithmGaussNewton::~OptimizationAlgorithmGaussNewton ( )

virtual

Definition at line 48 of file optimization_algorithm_gauss_newton.cpp.

Member Function Documentation

printVerbose()

void g2o::OptimizationAlgorithmGaussNewton::printVerbose ( std::ostream & os ) const

virtual

called by the optimizer if verbose. re-implement, if you want to print something

Reimplemented from g2o::OptimizationAlgorithm.

Definition at line 97 of file optimization_algorithm_gauss_newton.cpp.

References g2o::OptimizationAlgorithmWithHessian::_solver.

solve()

OptimizationAlgorithm::SolverResult g2o::OptimizationAlgorithmGaussNewton::solve ( int iteration, bool online = false )

virtual

Solve one iteration. The SparseOptimizer running on-top will call this for the given number of iterations.

Parameters

iteration

indicates the current iteration

Implements g2o::OptimizationAlgorithm.

Reimplemented in g2o::SolverSLAM2DLinear.

Definition at line 50 of file optimization_algorithm_gauss_newton.cpp.

References __PRETTY_FUNCTION__, g2o::OptimizationAlgorithm::_optimizer, g2o::OptimizationAlgorithmWithHessian::_solver, G2O_WARN, g2o::get_monotonic_time(), g2o::G2OBatchStatistics::globalStats(), OK, g2o::G2OBatchStatistics::timeLinearSolution, g2o::G2OBatchStatistics::timeQuadraticForm, g2o::G2OBatchStatistics::timeResiduals, and g2o::G2OBatchStatistics::timeUpdate.

Referenced by g2o::SolverSLAM2DLinear::solve().

Member Data Documentation

m_solver

std::unique_ptr<Solver> g2o::OptimizationAlgorithmGaussNewton::m_solver

private

Definition at line 55 of file optimization_algorithm_gauss_newton.h.

Referenced by OptimizationAlgorithmGaussNewton().

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

• /build/reproducible-path/g2o-0~20230806/g2o/core/optimization_algorithm_gauss_newton.h
• /build/reproducible-path/g2o-0~20230806/g2o/core/optimization_algorithm_gauss_newton.cpp