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Dakota  Version 6.2
GaussProcApproximation Member List
This is the complete list of members for GaussProcApproximation, including all inherited members.
add(const Pecos::SurrogateDataVars &sdv, bool anchor_flag)Approximation [inline]
add(const Variables &vars, bool anchor_flag, bool deep_copy)Approximation
add(const Real *sample_c_vars, bool anchor_flag, bool deep_copy)Approximation [inline]
add(const RealVector &c_vars, const IntVector &di_vars, const RealVector &dr_vars, bool anchor_flag, bool deep_copy)Approximation [inline]
add(const Pecos::SurrogateDataResp &sdr, bool anchor_flag)Approximation [inline]
add(const Response &response, int fn_index, bool anchor_flag, bool deep_copy)Approximation
addpoint(int, IntArray &added_index)GaussProcApproximation [private]
approx_rep() const Approximation [inline]
approxDataApproximation [protected]
approxGradientApproximation [protected]
approxHessianApproximation [protected]
Approximation()Approximation
Approximation(ProblemDescDB &problem_db, const SharedApproxData &shared_data)Approximation
Approximation(const SharedApproxData &shared_data)Approximation
Approximation(const Approximation &approx)Approximation
Approximation(BaseConstructor, const ProblemDescDB &problem_db, const SharedApproxData &shared_data)Approximation [protected]
Approximation(NoDBBaseConstructor, const SharedApproxData &shared_data)Approximation [protected]
approximation_coefficients(bool normalized) const Approximation [virtual]
approximation_coefficients(const RealVector &approx_coeffs, bool normalized)Approximation [virtual]
approximation_data() const Approximation [inline]
approxPointGaussProcApproximation [private]
approxValueGaussProcApproximation [private]
approxVarianceGaussProcApproximation [private]
betaCoeffsGaussProcApproximation [private]
build()GaussProcApproximation [protected, virtual]
calc_grad_nll()GaussProcApproximation [private]
calc_nll()GaussProcApproximation [private]
challenge_diagnostics(const RealMatrix &challenge_points, int fn_index)Approximation [virtual]
cholFlagGaussProcApproximation [private]
clear_all()Approximation [inline]
clear_anchor()Approximation [inline]
clear_current()Approximation [inline, virtual]
clear_data()Approximation [inline]
clear_saved()Approximation [inline]
coefficient_labels(std::vector< std::string > &coeff_labels) const Approximation [virtual]
combine(short corr_type)Approximation [virtual]
constraint_eval(int mode, int n, const Teuchos::SerialDenseVector< int, double > &X, Teuchos::SerialDenseVector< int, double > &g, Teuchos::SerialDenseMatrix< int, double > &gradC, int &result_mode)GaussProcApproximation [private, static]
covMatrixGaussProcApproximation [private]
covSlvrGaussProcApproximation [private]
covVectorGaussProcApproximation [private]
diagnostic(const String &metric_type)Approximation [virtual]
diagnostics_available()Approximation [virtual]
finalize()Approximation [virtual]
GaussProcApproximation()GaussProcApproximation [inline]
GaussProcApproximation(const SharedApproxData &shared_data)GaussProcApproximation [inline]
GaussProcApproximation(const ProblemDescDB &problem_db, const SharedApproxData &shared_data)GaussProcApproximation
get_beta_coefficients()GaussProcApproximation [private]
get_cholesky_factor()GaussProcApproximation [private]
get_cov_matrix()GaussProcApproximation [private]
get_cov_vector()GaussProcApproximation [private]
get_grad_cov_vector()GaussProcApproximation [private]
get_process_variance()GaussProcApproximation [private]
get_trend()GaussProcApproximation [private]
GPinstanceGaussProcApproximation [private, static]
GPmodel_apply(const RealVector &new_x, bool variance_flag, bool gradients_flag)GaussProcApproximation [private]
GPmodel_build()GaussProcApproximation [private]
gradCovVectorGaussProcApproximation [private]
gradient(const Variables &vars)GaussProcApproximation [protected, virtual]
Dakota::Approximation::gradient(const RealVector &c_vars)Approximation [virtual]
gradNegLogLikThetaGaussProcApproximation [private]
hessian(const Variables &vars)Approximation [virtual]
hessian(const RealVector &c_vars)Approximation [virtual]
initialize_point_selection()GaussProcApproximation [private]
lhood_2d_grid_eval()GaussProcApproximation [private]
maxval(const RealArray &) const GaussProcApproximation [private]
min_coefficients() const GaussProcApproximation [protected, virtual]
min_points(bool constraint_flag) const Approximation
negloglik(int mode, int n, const Teuchos::SerialDenseVector< int, double > &X, Real &fx, Teuchos::SerialDenseVector< int, double > &grad_x, int &result_mode)GaussProcApproximation [private, static]
negloglikNCSU(const RealVector &x)GaussProcApproximation [private, static]
normalize_training_data()GaussProcApproximation [private]
normTrainPointsGaussProcApproximation [private]
normTrainPointsAllGaussProcApproximation [private]
num_constraints() const GaussProcApproximation [protected, virtual]
numObsGaussProcApproximation [private]
numObsAllGaussProcApproximation [private]
operator=(const Approximation &approx)Approximation
optimize_theta_global()GaussProcApproximation [private]
optimize_theta_multipoint()GaussProcApproximation [private]
pointsAddedIndexGaussProcApproximation [private]
pointsel_add_sel(const RealArray &delta)GaussProcApproximation [private]
pointsel_get_errors(RealArray &delta)GaussProcApproximation [private]
pointsel_write_points()GaussProcApproximation [private]
pop(bool save_data)Approximation [virtual]
pop_count(size_t count)Approximation [inline]
predict(bool variance_flag, bool gradients_flag)GaussProcApproximation [private]
prediction_variance(const Variables &vars)GaussProcApproximation [protected, virtual]
Dakota::Approximation::prediction_variance(const RealVector &c_vars)Approximation [virtual]
primary_diagnostics(int fn_index)Approximation [virtual]
print_coefficients(std::ostream &s, bool normalized)Approximation [virtual]
procVarGaussProcApproximation [private]
rebuild()Approximation [virtual]
recommended_coefficients() const Approximation [virtual]
recommended_points(bool constraint_flag) const Approximation
restore()Approximation [virtual]
Rinv_YFbGaussProcApproximation [private]
run_point_selection()GaussProcApproximation [private]
set_bounds(const RealVector &c_l_bnds, const RealVector &c_u_bnds, const IntVector &di_l_bnds, const IntVector &di_u_bnds, const RealVector &dr_l_bnds, const RealVector &dr_u_bnds)Approximation
sharedDataRepApproximation [protected]
store()Approximation [virtual]
thetaParamsGaussProcApproximation [private]
trainMeansGaussProcApproximation [private]
trainPointsGaussProcApproximation [private]
trainStdvsGaussProcApproximation [private]
trainValuesGaussProcApproximation [private]
trainValuesAllGaussProcApproximation [private]
trendFunctionGaussProcApproximation [private]
trendFunctionAllGaussProcApproximation [private]
trendOrderGaussProcApproximation [private]
usePointSelectionGaussProcApproximation [private]
value(const Variables &vars)GaussProcApproximation [protected, virtual]
Dakota::Approximation::value(const RealVector &c_vars)Approximation [virtual]
writeCovMat(char[])GaussProcApproximation [private]
writex(const char[])GaussProcApproximation [private]
~Approximation()Approximation [virtual]
~GaussProcApproximation()GaussProcApproximation [inline]