TNL::Solvers::Optimization::AdaGrad< Vector, SolverMonitor > Class Template Reference

Inheritance diagram for TNL::Solvers::Optimization::AdaGrad< Vector, SolverMonitor >:

Collaboration diagram for TNL::Solvers::Optimization::AdaGrad< Vector, SolverMonitor >:

Public Types
using	DeviceType = typename Vector::DeviceType
using	IndexType = typename Vector::IndexType
using	RealType = typename Vector::RealType
using	VectorType = Vector
using	VectorView = typename Vector::ViewType
Public Types inherited from TNL::Solvers::IterativeSolver< Real, Index, SolverMonitor >
using	SolverMonitorType = SolverMonitor
	Type of an object used for monitoring of the convergence.

Public Member Functions
const RealType &	getRelaxation () const
void	setRelaxation (const RealType &lambda)
bool	setup (const Config::ParameterContainer &parameters, const std::string &prefix="")
template<typename GradientGetter >
bool	solve (VectorView &w, GradientGetter &&getGradient)
Public Member Functions inherited from TNL::Solvers::IterativeSolver< Real, Index, SolverMonitor >
	IterativeSolver ()=default
	Default constructor.
bool	checkConvergence ()
	Checks whether the convergence occurred already.
bool	checkNextIteration ()
	Checks if the solver is allowed to do the next iteration.
const Real &	getConvergenceResidue () const
	Gets the the convergence threshold.
const Real &	getDivergenceResidue () const
	Gets the limit for the divergence criterion.
const Index &	getIterations () const
	Gets the number of iterations performed by the solver so far.
const Index &	getMaxIterations () const
	Gets the maximal number of iterations the solver is allowed to perform.
const Index &	getMinIterations () const
	Gets the minimal number of iterations the solver is supposed to do.
const Real &	getResidue () const
	Gets the residue reached at the current iteration.
bool	nextIteration ()
	Proceeds to the next iteration.
void	resetIterations ()
	Sets the the number of the current iterations to zero.
void	setConvergenceResidue (const Real &convergenceResidue)
	Sets the threshold for the convergence.
void	setDivergenceResidue (const Real &divergenceResidue)
	Sets the residue limit for the divergence criterion.
void	setMaxIterations (const Index &maxIterations)
	Sets the maximal number of iterations the solver is allowed to perform.
void	setMinIterations (const Index &minIterations)
	Sets the minimal number of iterations the solver is supposed to do.
void	setRefreshRate (const Index &refreshRate)
	Sets the refresh rate (in milliseconds) for the solver monitor.
void	setResidue (const Real &residue)
	Sets the residue reached at the current iteration.
void	setSolverMonitor (SolverMonitorType &solverMonitor)
	Sets the solver monitor object.
bool	setup (const Config::ParameterContainer &parameters, const std::string &prefix="")
	Method for setup of the iterative solver based on configuration parameters.

Static Public Member Functions
static void	configSetup (Config::ConfigDescription &config, const std::string &prefix="")
Static Public Member Functions inherited from TNL::Solvers::IterativeSolver< Real, Index, SolverMonitor >
static void	configSetup (Config::ConfigDescription &config, const std::string &prefix="")
	This method defines configuration entries for setup of the iterative solver.

Protected Attributes
VectorType	a
RealType	epsilon = 1.0e-8
VectorType	gradient
RealType	relaxation = 1.0
Protected Attributes inherited from TNL::Solvers::IterativeSolver< Real, Index, SolverMonitor >
Real	convergenceResidue = 1e-6
Index	currentIteration = 0
Real	currentResidue = 0
Real	divergenceResidue = std::numeric_limits< Real >::max()
Index	maxIterations = 1000000000
Index	minIterations = 0
Index	refreshRate = 1
std::ofstream	residualHistoryFile
std::string	residualHistoryFileName = ""
SolverMonitor *	solverMonitor = nullptr

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

• src/TNL/Solvers/Optimization/AdaGrad.h
• src/TNL/Solvers/Optimization/AdaGrad.hpp