CMP++: Uncertainty Quantification & Bayesian Calibration
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cmp::PolynomialExpansion< Basis > Member List

This is the complete list of members for cmp::PolynomialExpansion< Basis >, including all inherited members.

coefficients_cmp::PolynomialExpansion< Basis >private
computeBasisRow(const Eigen::Ref< const Eigen::VectorXd > &x) constcmp::PolynomialExpansion< Basis >inline
computeDesignMatrix(const Eigen::Ref< const Eigen::MatrixXd > &X) constcmp::PolynomialExpansion< Basis >inlineprivate
fit(const Eigen::Ref< const Eigen::MatrixXd > &samples, const Eigen::Ref< const Eigen::VectorXd > &values)cmp::PolynomialExpansion< Basis >inline
getAnalyticalMean() constcmp::PolynomialExpansion< Basis >inline
getAnalyticalVariance() constcmp::PolynomialExpansion< Basis >inline
getNumBasisFunctions() constcmp::PolynomialExpansion< Basis >inline
getSobolMainIndices() constcmp::PolynomialExpansion< Basis >inline
load(const std::string &filename)cmp::PolynomialExpansion< Basis >inline
multiIndex_cmp::PolynomialExpansion< Basis >private
normalMatrixInverse_cmp::PolynomialExpansion< Basis >private
p1_cmp::PolynomialExpansion< Basis >private
p2_cmp::PolynomialExpansion< Basis >private
PolynomialExpansion()=defaultcmp::PolynomialExpansion< Basis >
predict(const Eigen::Ref< const Eigen::VectorXd > &x) constcmp::PolynomialExpansion< Basis >inline
predictBatch(const Eigen::Ref< const Eigen::MatrixXd > &X) constcmp::PolynomialExpansion< Basis >inline
predictLOO(const size_t &i) constcmp::PolynomialExpansion< Basis >inline
predictWithObs(const Eigen::Ref< const Eigen::VectorXd > &x, const double &yObs) constcmp::PolynomialExpansion< Basis >inline
project(const std::function< double(const Eigen::VectorXd &)> &model, int pointsPerDim)cmp::PolynomialExpansion< Basis >inline
readEigenMatrix(std::ifstream &in, MatrixType &mat)cmp::PolynomialExpansion< Basis >inlineprivate
residualVariance_cmp::PolynomialExpansion< Basis >private
save(const std::string &filename) constcmp::PolynomialExpansion< Basis >inline
set(size_t dimension, size_t totalDegree, const Eigen::VectorXd &p1, const Eigen::VectorXd &p2, double q=1.0)cmp::PolynomialExpansion< Basis >inline
writeEigenMatrix(std::ofstream &out, const MatrixType &mat) constcmp::PolynomialExpansion< Basis >inlineprivate
xObs_cmp::PolynomialExpansion< Basis >private
yObs_cmp::PolynomialExpansion< Basis >private