#include <smooth_nesterov.hxx>

Inheritance diagram for opengm::Nesterov_Parameter< GM >:

Collaboration diagram for opengm::Nesterov_Parameter< GM >:

Public Types
enum	GradientStepType { ADAPTIVE_STEP, WC_STEP, JOJIC_STEP }

typedef GM::ValueType	ValueType

typedef trws_base::DecompositionStorage< GM >	Storage

typedef trws_base::SmoothingBasedInference_Parameter< GM >	parent

typedef parent::SmoothingParametersType	SmoothingParametersType

typedef parent::SumProdSolverParametersType	SumProdSolverParametersType

typedef parent::MaxSumSolverParametersType	MaxSumSolverParametersType

typedef parent::PrimalLPEstimatorParametersType	PrimalLPEstimatorParametersType

typedef parent::SmoothingStrategyType	SmoothingStrategyType

Public Types inherited from opengm::trws_base::SmoothingBasedInference_Parameter< GM >
typedef GM::ValueType	ValueType

typedef trws_base::DecompositionStorage< GM >	Storage

typedef trws_base::SmoothingBasedInference_Parameter_Base< GM >	parent

typedef parent::SmoothingParametersType	SmoothingParametersType

typedef parent::SumProdSolverParametersType	SumProdSolverParametersType

typedef parent::MaxSumSolverParametersType	MaxSumSolverParametersType

typedef parent::PrimalLPEstimatorParametersType	PrimalLPEstimatorParametersType

typedef SmoothingParametersType::SmoothingStrategyType	SmoothingStrategyType

Public Types inherited from opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM >
typedef GM::ValueType	ValueType

typedef DecompositionStorage< GM >	Storage

typedef SmoothingParameters< ValueType >	SmoothingParametersType

typedef SumProdTRWS_Parameters< ValueType >	SumProdSolverParametersType

typedef MaxSumTRWS_Parameters< ValueType >	MaxSumSolverParametersType

typedef PrimalLPBound_Parameter< ValueType >	PrimalLPEstimatorParametersType

Public Member Functions
	Nesterov_Parameter (size_t numOfExternalIterations=0, ValueType precision=1.0, bool absolutePrecision=true, size_t numOfInternalIterations=3, typename Storage::StructureType decompositionType=Storage::GENERALSTRUCTURE, ValueType smoothingGapRatio=4, ValueType startSmoothingValue=0.0, ValueType primalBoundPrecision=std::numeric_limits< ValueType >::epsilon(), size_t maxPrimalBoundIterationNumber=100, size_t presolveMaxIterNumber=100, bool canonicalNormalization=true, ValueType presolveMinRelativeDualImprovement=0.01, bool lazyLPPrimalBoundComputation=true, ValueType smoothingDecayMultiplier=-1.0, SmoothingStrategyType smoothingStrategy=SmoothingParametersType::ADAPTIVE_DIMINISHING, bool fastComputations=true, bool verbose=false, GradientStepType gradientStep=ADAPTIVE_STEP, ValueType gamma0=1e6, bool plainGradient=false)

Public Member Functions inherited from opengm::trws_base::SmoothingBasedInference_Parameter< GM >
	SmoothingBasedInference_Parameter (size_t numOfExternalIterations=0, ValueType precision=1.0, bool absolutePrecision=true, size_t numOfInternalIterations=3, typename Storage::StructureType decompositionType=Storage::GENERALSTRUCTURE, ValueType smoothingGapRatio=4, ValueType startSmoothingValue=0.0, ValueType primalBoundPrecision=std::numeric_limits< ValueType >::epsilon(), size_t maxPrimalBoundIterationNumber=100, size_t presolveMaxIterNumber=100, bool canonicalNormalization=true, ValueType presolveMinRelativeDualImprovement=0.01, bool lazyLPPrimalBoundComputation=true, ValueType smoothingDecayMultiplier=-1.0, SmoothingStrategyType smoothingStrategy=SmoothingParametersType::ADAPTIVE_DIMINISHING, bool fastComputations=true, bool verbose=false)

size_t &	maxNumberOfIterations ()

const size_t &	maxNumberOfIterations () const

size_t &	numberOfInternalIterations ()

const size_t &	numberOfInternalIterations () const

const ValueType &	precision () const

void	setPrecision (ValueType precision)

bool &	isAbsolutePrecision ()

const bool &	isAbsolutePrecision () const

ValueType &	smoothingGapRatio ()

const ValueType &	smoothingGapRatio () const

bool &	lazyLPPrimalBoundComputation ()

const bool &	lazyLPPrimalBoundComputation () const

ValueType &	smoothingDecayMultiplier ()

const ValueType &	smoothingDecayMultiplier () const

SmoothingStrategyType &	smoothingStrategy ()

const SmoothingStrategyType &	smoothingStrategy () const

Storage::StructureType &	decompositionType ()

const Storage::StructureType &	decompositionType () const

const ValueType &	startSmoothingValue () const

void	setStartSmoothingValue (ValueType val)

const bool &	fastComputations () const

void	setFastComputations (bool fast)

const bool &	canonicalNormalization () const

void	setCanonicalNormalization (bool canonical)

size_t &	maxNumberOfPresolveIterations ()

const size_t &	maxNumberOfPresolveIterations () const

ValueType &	presolveMinRelativeDualImprovement ()

const ValueType &	presolveMinRelativeDualImprovement () const

size_t &	maxPrimalBoundIterationNumber ()

const size_t &	maxPrimalBoundIterationNumber () const

ValueType &	primalBoundRelativePrecision ()

const ValueType &	primalBoundRelativePrecision () const

bool &	verbose ()

const bool &	verbose () const

Public Member Functions inherited from opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM >
	SmoothingBasedInference_Parameter_Base (typename Storage::StructureType decompositionType, bool lazyLPPrimalBoundComputation, const SmoothingParametersType &smoothingParameters, const SumProdSolverParametersType &sumProdSolverParameters, const MaxSumSolverParametersType &maxSumSolverParameters, const PrimalLPEstimatorParametersType &primalLPEstimatorParameters)

virtual	~SmoothingBasedInference_Parameter_Base ()

const SmoothingParametersType &	getSmoothingParameters () const

const SumProdSolverParametersType &	getSumProdSolverParameters () const

const MaxSumSolverParametersType &	getMaxSumSolverParameters () const

const PrimalLPEstimatorParametersType &	getPrimalLPEstimatorParameters () const

Static Public Member Functions
static GradientStepType	getGradientStepType (const std::string &name)

static std::string	getString (GradientStepType steptype)

Public Attributes
GradientStepType	gradientStep_

ValueType	gamma0_

bool	plainGradient_

Public Attributes inherited from opengm::trws_base::SmoothingBasedInference_Parameter< GM >
size_t	numOfExternalIterations_

bool	verbose_

Public Attributes inherited from opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM >
Storage::StructureType	decompositionType_

bool	lazyLPPrimalBoundComputation_

Additional Inherited Members
Protected Attributes inherited from opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM >
SmoothingParametersType	smoothingParameters_

SumProdSolverParametersType	sumProdSolverParameters_

MaxSumSolverParametersType	maxSumSolverParameters_

PrimalLPEstimatorParametersType	primalLPEstimatorParameters_

Detailed Description

template<class GM>
struct opengm::Nesterov_Parameter< GM >

Definition at line 18 of file smooth_nesterov.hxx.

Member Typedef Documentation

template<class GM >

typedef parent::MaxSumSolverParametersType opengm::Nesterov_Parameter< GM >::MaxSumSolverParametersType

Definition at line 26 of file smooth_nesterov.hxx.

template<class GM >

typedef trws_base::SmoothingBasedInference_Parameter<GM> opengm::Nesterov_Parameter< GM >::parent

Definition at line 23 of file smooth_nesterov.hxx.

template<class GM >

typedef parent::PrimalLPEstimatorParametersType opengm::Nesterov_Parameter< GM >::PrimalLPEstimatorParametersType

Definition at line 27 of file smooth_nesterov.hxx.

template<class GM >

typedef parent::SmoothingParametersType opengm::Nesterov_Parameter< GM >::SmoothingParametersType

Definition at line 24 of file smooth_nesterov.hxx.

template<class GM >

typedef parent::SmoothingStrategyType opengm::Nesterov_Parameter< GM >::SmoothingStrategyType

Definition at line 28 of file smooth_nesterov.hxx.

template<class GM >

typedef trws_base::DecompositionStorage<GM> opengm::Nesterov_Parameter< GM >::Storage

Definition at line 22 of file smooth_nesterov.hxx.

template<class GM >

typedef parent::SumProdSolverParametersType opengm::Nesterov_Parameter< GM >::SumProdSolverParametersType

Definition at line 25 of file smooth_nesterov.hxx.

template<class GM >

typedef GM::ValueType opengm::Nesterov_Parameter< GM >::ValueType

Definition at line 21 of file smooth_nesterov.hxx.

Member Enumeration Documentation

template<class GM >

enum opengm::Nesterov_Parameter::GradientStepType

Enumerator
ADAPTIVE_STEP
WC_STEP
JOJIC_STEP

Definition at line 29 of file smooth_nesterov.hxx.

Constructor & Destructor Documentation

template<class GM >

opengm::Nesterov_Parameter< GM >::Nesterov_Parameter	(	size_t	numOfExternalIterations = `0`,
		ValueType	precision = `1.0`,
		bool	absolutePrecision = `true`,
		size_t	numOfInternalIterations = `3`,
		typename Storage::StructureType	decompositionType = `Storage::GENERALSTRUCTURE`,
		ValueType	smoothingGapRatio = `4`,
		ValueType	startSmoothingValue = `0.0`,
		ValueType	primalBoundPrecision = `std::numeric_limits<ValueType>::epsilon()`,
		size_t	maxPrimalBoundIterationNumber = `100`,
		size_t	presolveMaxIterNumber = `100`,
		bool	canonicalNormalization = `true`,
		ValueType	presolveMinRelativeDualImprovement = `0.01`,
		bool	lazyLPPrimalBoundComputation = `true`,
		ValueType	smoothingDecayMultiplier = `-1.0`,
		SmoothingStrategyType	smoothingStrategy = `SmoothingParametersType::ADAPTIVE_DIMINISHING`,
		bool	fastComputations = `true`,
		bool	verbose = `false`,
		GradientStepType	gradientStep = `ADAPTIVE_STEP`,
		ValueType	gamma0 = `1e6`,
		bool	plainGradient = `false`
	)

inline

Definition at line 49 of file smooth_nesterov.hxx.

Member Function Documentation

template<class GM >

static GradientStepType opengm::Nesterov_Parameter< GM >::getGradientStepType ( const std::string & name )

inlinestatic

Definition at line 31 of file smooth_nesterov.hxx.

template<class GM >

static std::string opengm::Nesterov_Parameter< GM >::getString ( GradientStepType steptype )

inlinestatic

Definition at line 38 of file smooth_nesterov.hxx.

Member Data Documentation

template<class GM >

ValueType opengm::Nesterov_Parameter< GM >::gamma0_

Definition at line 94 of file smooth_nesterov.hxx.

template<class GM >

GradientStepType opengm::Nesterov_Parameter< GM >::gradientStep_

Definition at line 91 of file smooth_nesterov.hxx.

template<class GM >

bool opengm::Nesterov_Parameter< GM >::plainGradient_

Definition at line 95 of file smooth_nesterov.hxx.

Public Types

Public Member Functions

Static Public Member Functions

Public Attributes

Additional Inherited Members

Detailed Description

template<class GM> struct opengm::Nesterov_Parameter< GM >

Member Typedef Documentation

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<class GM>
struct opengm::Nesterov_Parameter< GM >