- c -

• Caching() : HighFive::Caching
• cbegin() : HighFive::FixedLenStringArray< N >
• cend() : HighFive::FixedLenStringArray< N >
• ChainData() : hops::ChainData
• Chunking() : HighFive::Chunking
• clearHistory() : hops::MarkovChainAdapter< MarkovChainImpl > , hops::MarkovChainInterface< StateType >
• clearRecords() : hops::AcceptanceRateRecorder< MarkovChainImpl > , hops::MessageRecorder< MarkovChainImpl > , hops::MetropolisHastingsFilter< MarkovChainProposer > , hops::NegativeLogLikelihoodRecorder< MarkovChainImpl > , hops::StateRecorder< MarkovChainImpl > , hops::TimestampRecorder< MarkovChainImpl >
• clone() : HighFive::DataSpace
• Coldness() : hops::Coldness< ModelType >
• commit() : HighFive::CompoundType , HighFive::EnumType< T >
• CompoundType() : HighFive::CompoundType
• compress() : H5Easy::DumpOptions
• Compression() : H5Easy::Compression
• computeAcceptanceRate() : hops::Data
• computeChebyshevCenter() : hops::LinearProgram , hops::LinearProgramClpImpl , hops::LinearProgramGurobiImpl
• computeCholeskyFactorOfDikinEllipsoid() : hops::DikinEllipsoidCalculator< MatrixType, VectorType >
• computeDikinEllipsoid() : hops::DikinEllipsoidCalculator< MatrixType, VectorType >
• computeEffectiveSampleSize() : hops::Data
• computeExpectedFisherInformation() : hops::Coldness< ModelType > , hops::DegenerateMultivariateGaussian , hops::Mixture , hops::Model , hops::ModelWrapper , hops::MultivariateGaussian , hops::Rosenbrock
• computeExpectedSquaredJumpDistance() : hops::Data
• computeHessian() : hops::Rosenbrock
• computeInverseNormalizationConstant() : hops::GaussianStepDistribution< RealType > , hops::UniformStepDistribution< RealType >
• computeLogAcceptanceProbability() : hops::AdaptiveMetropolisProposal< MatrixType, VectorType > , hops::BallWalkProposal< MatrixType, VectorType > , hops::CoordinateHitAndRunProposal< MatrixType, VectorType, ChordStepDistribution > , hops::CSmMALAProposal< ModelType, InternalMatrixType > , hops::DikinProposal< MatrixType, VectorType > , hops::GaussianProposal< MatrixType, VectorType > , hops::HitAndRunProposal< MatrixType, VectorType, ChordStepDistribution, Precise > , hops::ModelMixin< MarkovChainProposer, ModelType >
• computeLogLikelihoodGradient() : hops::Coldness< ModelType > , hops::DegenerateMultivariateGaussian , hops::Mixture , hops::Model , hops::ModelWrapper , hops::MultivariateGaussian , hops::Rosenbrock
• computeNegativeLogLikelihood() : hops::Coldness< ModelType > , hops::DegenerateMultivariateGaussian , hops::FullGammaModel , hops::GammaModel1 , hops::GammaModel2 , hops::MinimalGammaModel , hops::Mixture , hops::Model , hops::ModelWrapper , hops::MultivariateGaussian , hops::Rosenbrock
• computeParameterDrawAcceptanceProbability() : hops::ReversibleJumpProposal< MarkovChainImpl, Model >
• computePosterior() : hops::GaussianProcess< MatrixType, VectorType, Kernel >
• computePotentialScaleReductionFactor() : hops::Data
• computeProbabilityDensity() : hops::GaussianStepDistribution< RealType >
• computeTotalNumberOfSamples() : hops::Data
• computeTotalTimeTaken() : hops::Data
• computeUnconstrainedDimensions() : hops::LinearProgram , hops::LinearProgramClpImpl , hops::LinearProgramGurobiImpl
• computeVolume() : hops::MaximumVolumeEllipsoid< RealType >
• construct() : hops::MaximumVolumeEllipsoid< RealType >
• container_converter() : HighFive::details::container_converter< Container, T >
• ContentGenerate() : ContentGenerate< T > , ContentGenerate< char > , ContentGenerate< std::string >
• CoordinateHitAndRunProposal() : hops::CoordinateHitAndRunProposal< MatrixType, VectorType, ChordStepDistribution >
• create_ref() : HighFive::Reference
• createAttribute() : HighFive::AnnotateTraits< Derivate >
• createDataSet() : HighFive::NodeTraits< Derivate >
• createFileWriter() : hops::FileWriterFactory
• createGroup() : HighFive::NodeTraits< Derivate >
• createLinearProgram() : hops::LinearProgramFactory
• createMarkovChain() : hops::MarkovChainFactory
• createMarkovChainWithParallelTempering() : hops::MarkovChainFactory
• createSimplex() : hops::SimplexFactory< Matrix, Vector >
• CSmMALAProposal() : hops::CSmMALAProposal< ModelType, InternalMatrixType >
• CsvReader() : hops::CsvReader
• CsvWriter() : hops::CsvWriter