Member QUESO::ArrayOfSequences< V, M >::gaussianKDE (unsigned int initialPos, const V &scales, const std::vector< V * > &evaluationParamVecs, std::vector< V * > &densityVecs) const: : implement me! The density estimator will be:
\[ \hat{f}(x) = \frac{1}{nh} \sum_{j=1}^n K\Big(\frac{x-x_j}{h}\Big),\]
where \( K \) is a Gaussian kernel.
Member QUESO::Base1D1DFunction::multiplyAndIntegrate (const Base1D1DFunction &func, unsigned int quadratureOrder, double *resultWithMultiplicationByTAsWell) const: : Please, implement me!
Member QUESO::BaseTKGroup< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::BaseVectorRV< V, M >::print (std::ostream &os) const =0: : implement me!
Class QUESO::BasicPdfsBase: This class will acommodate the definition of a Joint PDF using either GSL or Boost distributions. It will ultimately be called by BaseJointPdf and/or its derived classes (via m_env.basicPdfs()) during the construction of Joint PDFs.
Class QUESO::BasicPdfsBoost: This class will acommodate the definition of a Joint PDF using distributions available in the Boost library. It will ultimately be called by BaseJointPdf and/or its derived classes (via m_env.basicPdfs()) during the construction of Joint PDFs.
Class QUESO::BasicPdfsCXX11: This class will acommodate the definition of a Joint PDF using C++11 math functions to bootstrap our own PDF evaluations since std::random doesn't have PDF evaluations. It will ultimately be called by BaseJointPdf and/or its derived classes (via m_env.basicPdfs()) during the construction of Joint PDFs.
Class QUESO::BasicPdfsGsl: This class will acommodate the definition of a Joint PDF using distributions available in the Gsl library. It will ultimately be called by BaseJointPdf and/or its derived classes (via m_env.basicPdfs()) during the construction of Joint PDFs.
Member QUESO::BayesianJointPdf< V, M >::computeLogOfNormalizationFactor (unsigned int numSamples, bool updateFactorInternally) const: : implement me!
Member QUESO::BetaVectorRV< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::ConcatenatedVectorRV< V, M >::print (std::ostream &os) const: : implement me!
Class QUESO::Fft< T >: : Implement Forward Fourier Transform for Complex data.
Member QUESO::FuncPlusFunc1D1DFunction::deriv (double domainValue) const: Please, implement me!
Member QUESO::FuncTimesFunc1D1DFunction::deriv (double domainValue) const: Please, implement me!
This method objective requires clarification: are we calculating either (func1*func2)' or func1'*func2'?
Member QUESO::GammaVectorRV< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::GaussianHermite1DQuadrature::GaussianHermite1DQuadrature (double mean, double stddev, unsigned int order): : Prepare the code to include both parameters mean and stddev.
Class QUESO::GaussianVectorCdf< V, M >: : Implement me!
Member QUESO::GaussianVectorCdf< V, M >::GaussianVectorCdf (const char *prefix, const VectorSet< V, M > &pdfSupport, const V &domainExpectedValues, const V &domainVarianceValues): : implement me! This method calls commonConstructor() which is not yet implemented. Instantiates an object of the class given a prefix, the support of the related-PDF, and the domain mean and expected values.
Member QUESO::GaussianVectorCdf< V, M >::GaussianVectorCdf (const char *prefix, const VectorSet< V, M > &pdfSupport, const V &domainExpectedValues, const M &covMatrix): : implement me! This method calls commonConstructor() which is not yet implemented. Instantiates an object of the class given a prefix, the support of the related-PDF, and the domain mean values and covariance matrix.
Member QUESO::GaussianVectorCdf< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::GaussianVectorCdf< V, M >::values (const V &paramValues, V &cdfVec) const: : implement me!
Class QUESO::GaussianVectorMdf< V, M >: : Implement me!
Member QUESO::GaussianVectorMdf< V, M >::GaussianVectorMdf (const char *prefix, const VectorSet< V, M > &domainSet, const V &domainExpectedValues, const V &domainVarianceValues): : implement me! This method calls commonConstructor() which is not yet implemented. Instantiates an object of the class given a prefix, the domain set, and the domain mean and expected values.
Member QUESO::GaussianVectorMdf< V, M >::GaussianVectorMdf (const char *prefix, const VectorSet< V, M > &domainSet, const V &domainExpectedValues, const M &covMatrix): : implement me! This method calls commonConstructor() which is not yet implemented. Instantiates an object of the class given a prefix, the domain set, and the domain mean and covariance matrix.
Member QUESO::GaussianVectorMdf< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::GaussianVectorMdf< V, M >::values (const V &paramValues, V &mdfVec) const: : implement me!
Member QUESO::GaussianVectorRV< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::GenericVectorCdf< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::GenericVectorMdf< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::GenericVectorRV< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::HessianCovMatricesTKGroup< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::HessianCovMatricesTKGroup< V, M >::symmetric () const: : It only returns 'false', thus a test for its symmetricity must be included.
Member QUESO::InterpolationSurrogateBuilder< V, M >::sync_data (std::vector< unsigned int > &local_n, std::vector< double > &local_values, InterpolationSurrogateData< V, M > &data): Would be more efficient to pack local_n and local_values togethers and do Gatherv only once.
Member QUESO::InterpolationSurrogateData< V, M >::m_values: We currently store all values reside on all processes. Generalization would be to partition values across processes allocated for the subenvironment.
Member QUESO::InverseGammaJointPdf< V, M >::lnValue (const V &domainVector, const V *domainDirection, V *gradVector, M *hessianMatrix, V *hessianEffect) const: : implement me!
Member QUESO::InverseGammaVectorRV< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::InvLogitGaussianVectorRV< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::JeffreysVectorRV< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::LagrangeBasis1D1DFunction::deriv (double domainValue) const: This function checks if point domainValue belongs to the domain of this function, and in affirmative case, it returns the value of the derivative at such point.
Member QUESO::LagrangePolynomial1D1DFunction::deriv (double domainValue) const: This function checks if point domainValue belongs to the domain of this function, and in affirmative case, it returns the value of the derivative at such point.
Member QUESO::LogNormalVectorRV< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::MarkovChainPositionData< V >::print (std::ostream &os) const: : implement me!
Member QUESO::MetropolisAdjustedLangevinTK< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::MetropolisAdjustedLangevinTK< V, M >::symmetric () const: : It only returns 'true', thus a test for its symmetricity must be included.
Member QUESO::MetropolisHastingsSG< P_V, P_M >::print (std::ostream &os) const: : implement me!
Member QUESO::MLSampling< P_V, P_M >::print (std::ostream &os) const: : implement me!
Member QUESO::MultiDQuadratureBase< V, M >::m_positions: We should make this a vector of std::unique_ptr when we go full C++11.
Member QUESO::PoweredJointPdf< V, M >::computeLogOfNormalizationFactor (unsigned int numSamples, bool updateFactorInternally) const: : implement me!
Member QUESO::SampledVectorCdf< V, M >::values (const V &paramValues, V &cdfVec) const: : implement me!
Member QUESO::SampledVectorMdf< V, M >::values (const V &paramValues, V &mdfVec) const: : implement me!
Member QUESO::ScalarGaussianRandomField< V, M >::operator= (const ScalarGaussianRandomField &rhs): : implement me!
Member QUESO::ScalarGaussianRandomField< V, M >::ScalarGaussianRandomField (const ScalarGaussianRandomField &obj): : implement me!
Member QUESO::ScalarTimesFunc1D1DFunction::deriv (double domainValue) const: Please, implement me!
Member QUESO::ScaledCovMatrixTKGroup< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::ScaledCovMatrixTKGroup< V, M >::symmetric () const: : It only returns 'true', thus a test for its symmetricity must be included.
Member QUESO::StatisticalForwardProblem< P_V, P_M, Q_V, Q_M >::commonConstructor (): : implement me!
Member QUESO::StatisticalForwardProblem< P_V, P_M, Q_V, Q_M >::print (std::ostream &os) const: : implement me!
Member QUESO::StatisticalInverseProblem< P_V, P_M >::print (std::ostream &os) const: : implement me!
Member QUESO::TransformedScaledCovMatrixTKGroup< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::UniformVectorRV< V, M >::print (std::ostream &os) const: : implement me!
Member QUESO::VectorGaussianRandomField< P_V, P_M, Q_V, Q_M >::operator= (const VectorGaussianRandomField &rhs): : implement me!
Member QUESO::VectorGaussianRandomField< P_V, P_M, Q_V, Q_M >::VectorGaussianRandomField (const VectorGaussianRandomField &obj): : implement me!
Member QUESO::WignerInverseChebyshev1st1DQuadrature::WignerInverseChebyshev1st1DQuadrature (double minDomainValue, double maxDomainValue, unsigned int order): Constructs a Gaussian-Chebyshev quadrature (of first type) of order order, in the interval [minDomainValue,maxDomainValue]. This method scales the the abscissas (positions) of the quadrature from the interval [-1,1] to [minDomainValue,maxDomainValue].
Class QUESO::WignerVectorRealizer< V, M >: : The method WignerVectorRealizer:realization() is not yet available, thus this class does nothing.
Member QUESO::WignerVectorRealizer< V, M >::realization (V &nextValues) const: : implement and explain me!
Class QUESO::WignerVectorRV< V, M >: : WignerVectorRealizer.realization() is not yet available, thus this class does nothing.
Member QUESO::WignerVectorRV< V, M >::print (std::ostream &os) const: : implement me!