| ADAPTIVE_STEP enum value | opengm::Nesterov_Parameter< GM > | |
| canonicalNormalization() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| decompositionType() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| decompositionType() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| decompositionType_ | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | |
| fastComputations() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| gamma0_ | opengm::Nesterov_Parameter< GM > | |
| getGradientStepType(const std::string &name) | opengm::Nesterov_Parameter< GM > | inlinestatic |
| getMaxSumSolverParameters() const | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | inline |
| getPrimalLPEstimatorParameters() const | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | inline |
| getSmoothingParameters() const | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | inline |
| getString(GradientStepType steptype) | opengm::Nesterov_Parameter< GM > | inlinestatic |
| getSumProdSolverParameters() const | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | inline |
| gradientStep_ | opengm::Nesterov_Parameter< GM > | |
| GradientStepType enum name | opengm::Nesterov_Parameter< GM > | |
| isAbsolutePrecision() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| isAbsolutePrecision() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| JOJIC_STEP enum value | opengm::Nesterov_Parameter< GM > | |
| lazyLPPrimalBoundComputation() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| lazyLPPrimalBoundComputation() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| lazyLPPrimalBoundComputation_ | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | |
| maxNumberOfIterations() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| maxNumberOfIterations() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| maxNumberOfPresolveIterations() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| maxNumberOfPresolveIterations() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| maxPrimalBoundIterationNumber() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| maxPrimalBoundIterationNumber() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| maxSumSolverParameters_ | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | protected |
| MaxSumSolverParametersType typedef | 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) | opengm::Nesterov_Parameter< GM > | inline |
| numberOfInternalIterations() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| numberOfInternalIterations() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| numOfExternalIterations_ | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | |
| parent typedef | opengm::Nesterov_Parameter< GM > | |
| plainGradient_ | opengm::Nesterov_Parameter< GM > | |
| precision() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| presolveMinRelativeDualImprovement() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| presolveMinRelativeDualImprovement() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| primalBoundRelativePrecision() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| primalBoundRelativePrecision() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| primalLPEstimatorParameters_ | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | protected |
| PrimalLPEstimatorParametersType typedef | opengm::Nesterov_Parameter< GM > | |
| setCanonicalNormalization(bool canonical) | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| setFastComputations(bool fast) | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| setPrecision(ValueType precision) | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| setStartSmoothingValue(ValueType val) | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| 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) | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| SmoothingBasedInference_Parameter_Base(typename Storage::StructureType decompositionType, bool lazyLPPrimalBoundComputation, const SmoothingParametersType &smoothingParameters, const SumProdSolverParametersType &sumProdSolverParameters, const MaxSumSolverParametersType &maxSumSolverParameters, const PrimalLPEstimatorParametersType &primalLPEstimatorParameters) | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | inline |
| smoothingDecayMultiplier() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| smoothingDecayMultiplier() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| smoothingGapRatio() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| smoothingGapRatio() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| smoothingParameters_ | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | protected |
| SmoothingParametersType typedef | opengm::Nesterov_Parameter< GM > | |
| smoothingStrategy() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| smoothingStrategy() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| SmoothingStrategyType typedef | opengm::Nesterov_Parameter< GM > | |
| startSmoothingValue() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| Storage typedef | opengm::Nesterov_Parameter< GM > | |
| sumProdSolverParameters_ | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | protected |
| SumProdSolverParametersType typedef | opengm::Nesterov_Parameter< GM > | |
| ValueType typedef | opengm::Nesterov_Parameter< GM > | |
| verbose() | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| verbose() const | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | inline |
| verbose_ | opengm::trws_base::SmoothingBasedInference_Parameter< GM > | |
| WC_STEP enum value | opengm::Nesterov_Parameter< GM > | |
| ~SmoothingBasedInference_Parameter_Base() | opengm::trws_base::SmoothingBasedInference_Parameter_Base< GM > | inlinevirtual |
1.8.9.1
