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Dakota
Version 6.21
Explore and Predict with Confidence
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Dakota
Version 6.21
Explore and Predict with Confidence
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This is the complete list of members for GaussProcApproximation, including all inherited members.
| active_model_key(const Pecos::ActiveKey &sd_key) | Approximation | inlinevirtual |
| add(const Variables &vars, bool v_copy, const Response &response, size_t fn_index, bool r_copy, bool anchor_flag, int eval_id, size_t key_index=_NPOS) | Approximation | inline |
| add(const Real *c_vars, bool v_copy, const Response &response, size_t fn_index, bool r_copy, bool anchor_flag, int eval_id, size_t key_index=_NPOS) | Approximation | inline |
| add(const Pecos::SurrogateDataVars &sdv, bool v_copy, const Response &response, size_t fn_index, bool r_copy, bool anchor_flag, int eval_id, size_t key_index=_NPOS) | Approximation | inline |
| add(const Pecos::SurrogateDataVars &sdv, bool v_copy, const Pecos::SurrogateDataResp &sdr, bool r_copy, bool anchor_flag, int eval_id, size_t key_index=_NPOS) | Approximation | inline |
| add(const Pecos::SurrogateDataVars &sdv, bool v_copy, const Pecos::SurrogateDataResp &sdr, bool r_copy, bool anchor_flag) | Approximation | inlineprotected |
| add(int eval_id) | Approximation | inlineprotected |
| add_array(const RealMatrix &sample_vars, bool v_copy, const RealVector &sample_resp, bool r_copy, size_t key_index=_NPOS) | Approximation | |
| addpoint(int, IntArray &added_index) | GaussProcApproximation | private |
| advancement_available() | Approximation | virtual |
| approx_rep() const | Approximation | inline |
| approxData | Approximation | protected |
| approxGradient | Approximation | protected |
| approxHessian | Approximation | protected |
| Approximation() | Approximation | |
| Approximation(ProblemDescDB &problem_db, const SharedApproxData &shared_data, const String &approx_label) | Approximation | |
| Approximation(const SharedApproxData &shared_data) | Approximation | |
| Approximation(const Approximation &approx) | Approximation | |
| Approximation(BaseConstructor, const ProblemDescDB &problem_db, const SharedApproxData &shared_data, const String &approx_label) | 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 |
| approxLabel | Approximation | protected |
| approxPoint | GaussProcApproximation | private |
| approxRep | Approximation | protected |
| approxValue | GaussProcApproximation | private |
| approxVariance | GaussProcApproximation | private |
| assign_key_index(size_t key_index) | Approximation | inlineprotected |
| betaCoeffs | GaussProcApproximation | private |
| build() | GaussProcApproximation | protectedvirtual |
| Dakota::Approximation::build(int num_resp) | Approximation | virtual |
| calc_grad_nll() | GaussProcApproximation | private |
| calc_nll() | GaussProcApproximation | private |
| challenge_diagnostic(const StringArray &metric_types, const RealMatrix &challenge_points, const RealVector &challenge_responses) | Approximation | virtual |
| challenge_diagnostics(size_t fn_index, const RealMatrix &challenge_points, const RealVector &challenge_responses) | Approximation | virtual |
| check_points(size_t num_build_pts) | Approximation | inlineprotected |
| cholFlag | GaussProcApproximation | private |
| clear_active_data() | Approximation | inline |
| clear_active_popped() | Approximation | inline |
| clear_component_effects() (defined in Approximation) | Approximation | virtual |
| clear_computed_bits() | Approximation | virtual |
| clear_current_active_data() | Approximation | inlinevirtual |
| clear_data() | Approximation | inline |
| clear_inactive_coefficients() | Approximation | virtual |
| clear_inactive_data() | Approximation | inline |
| clear_model_keys() | Approximation | inlinevirtual |
| clear_popped() | Approximation | inline |
| coefficient_labels(std::vector< std::string > &coeff_labels) const | Approximation | virtual |
| combine_coefficients() | Approximation | virtual |
| combined_covariance(Approximation &approx_2) | Approximation | virtual |
| combined_covariance(const RealVector &x, Approximation &approx_2) | Approximation | virtual |
| combined_mean() | Approximation | virtual |
| combined_mean(const RealVector &x) | Approximation | virtual |
| combined_moment(size_t i) const (defined in Approximation) | Approximation | virtual |
| combined_moment(Real mom, size_t i) (defined in Approximation) | Approximation | virtual |
| combined_moments() const (defined in Approximation) | Approximation | virtual |
| combined_to_active_coefficients(bool clear_combined=true) | Approximation | virtual |
| compute_component_effects() (defined in Approximation) | Approximation | virtual |
| compute_moments(bool full_stats=true, bool combined_stats=false) (defined in Approximation) | Approximation | virtual |
| compute_moments(const RealVector &x, bool full_stats=true, bool combined_stats=false) (defined in Approximation) | Approximation | virtual |
| compute_total_effects() (defined in Approximation) | 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 | privatestatic |
| covariance(Approximation &approx_2) | Approximation | virtual |
| covariance(const RealVector &x, Approximation &approx_2) | Approximation | virtual |
| covMatrix | GaussProcApproximation | private |
| covSlvr | GaussProcApproximation | private |
| covVector | GaussProcApproximation | private |
| cv_diagnostic(const StringArray &metric_types, unsigned num_folds) | Approximation | virtual |
| diagnostic(const String &metric_type) | Approximation | virtual |
| diagnostics_available() | Approximation | virtual |
| expansion_coefficient_flag(bool) (defined in Approximation) | Approximation | virtual |
| expansion_coefficient_flag() const (defined in Approximation) | Approximation | virtual |
| expansion_gradient_flag(bool) (defined in Approximation) | Approximation | virtual |
| expansion_gradient_flag() const (defined in Approximation) | Approximation | virtual |
| expansion_moments() const (defined in Approximation) | Approximation | virtual |
| export_model(const StringArray &var_labels=StringArray(), const String &fn_label="", const String &export_prefix="", const unsigned short export_format=NO_MODEL_FORMAT) | Approximation | virtual |
| export_model(const Variables &vars, const String &fn_label="", const String &export_prefix="", const unsigned short export_format=NO_MODEL_FORMAT) | Approximation | virtual |
| finalize_coefficients() | Approximation | virtual |
| finalize_data() | Approximation | |
| GaussProcApproximation() | GaussProcApproximation | inline |
| GaussProcApproximation(const SharedApproxData &shared_data) | GaussProcApproximation | inline |
| GaussProcApproximation(const ProblemDescDB &problem_db, const SharedApproxData &shared_data, const String &approx_label) | GaussProcApproximation | |
| get_approx(ProblemDescDB &problem_db, const SharedApproxData &shared_data, const String &approx_label) | Approximation | protected |
| get_approx(const SharedApproxData &shared_data) | Approximation | protected |
| 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 |
| GPinstance | GaussProcApproximation | privatestatic |
| GPmodel_apply(const RealVector &new_x, bool variance_flag, bool gradients_flag) | GaussProcApproximation | private |
| GPmodel_build() | GaussProcApproximation | private |
| gradCovVector | GaussProcApproximation | private |
| gradient(const Variables &vars) | GaussProcApproximation | protectedvirtual |
| Dakota::Approximation::gradient(const RealVector &c_vars) | Approximation | virtual |
| gradNegLogLikTheta | GaussProcApproximation | 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 |
| map_variable_labels(const Variables &dfsm_vars) | Approximation | virtual |
| maxval(const RealArray &) const | GaussProcApproximation | private |
| mean() | Approximation | virtual |
| mean(const RealVector &x) | Approximation | virtual |
| mean_gradient() | Approximation | virtual |
| mean_gradient(const RealVector &x, const SizetArray &dvv) | Approximation | virtual |
| min_coefficients() const | GaussProcApproximation | protectedvirtual |
| min_points(bool constraint_flag) const | Approximation | |
| moment(size_t i) const (defined in Approximation) | Approximation | virtual |
| moment(Real mom, size_t i) (defined in Approximation) | Approximation | virtual |
| moments() const (defined in Approximation) | Approximation | virtual |
| negloglik(int mode, int n, const Teuchos::SerialDenseVector< int, double > &X, Real &fx, Teuchos::SerialDenseVector< int, double > &grad_x, int &result_mode) | GaussProcApproximation | privatestatic |
| negloglikNCSU(const RealVector &x) | GaussProcApproximation | privatestatic |
| normalize_training_data() | GaussProcApproximation | private |
| normTrainPoints | GaussProcApproximation | private |
| normTrainPointsAll | GaussProcApproximation | private |
| num_components() const | Approximation | inlinevirtual |
| num_constraints() const | Approximation | virtual |
| numerical_integration_moments() const (defined in Approximation) | Approximation | virtual |
| numObs | GaussProcApproximation | private |
| numObsAll | GaussProcApproximation | private |
| operator=(const Approximation &approx) | Approximation | |
| optimize_theta_global() | GaussProcApproximation | private |
| optimize_theta_multipoint() | GaussProcApproximation | private |
| pointsAddedIndex | GaussProcApproximation | private |
| pointsel_add_sel(const RealArray &delta) | GaussProcApproximation | private |
| pointsel_get_errors(RealArray &delta) | GaussProcApproximation | private |
| pointsel_write_points() | GaussProcApproximation | private |
| pop_coefficients(bool save_data) | Approximation | virtual |
| pop_count(size_t count, size_t key_index) | Approximation | inline |
| pop_data(bool save_data) | Approximation | |
| predict(bool variance_flag, bool gradients_flag) | GaussProcApproximation | private |
| prediction_variance(const Variables &vars) | GaussProcApproximation | protectedvirtual |
| Dakota::Approximation::prediction_variance(const RealVector &c_vars) | Approximation | virtual |
| primary_diagnostics(size_t fn_index) | Approximation | virtual |
| print_coefficients(std::ostream &s, bool normalized) | Approximation | virtual |
| procVar | GaussProcApproximation | private |
| push_coefficients() | Approximation | virtual |
| push_data() | Approximation | |
| rebuild() | Approximation | virtual |
| recommended_coefficients() const | Approximation | virtual |
| recommended_points(bool constraint_flag) const | Approximation | |
| replace(const IntResponsePair &response_pr, size_t fn_index) | Approximation | virtual |
| response_to_sdr(const Response &response, size_t fn_index) | Approximation | protected |
| Rinv_YFb | GaussProcApproximation | 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 | |
| sharedDataRep | Approximation | protected |
| sobol_indices() const (defined in Approximation) | Approximation | virtual |
| sparse_sobol_index_map() const (defined in Approximation) | Approximation | virtual |
| surrogate_data() const | Approximation | inline |
| surrogate_data() | Approximation | inline |
| thetaParams | GaussProcApproximation | private |
| total_sobol_indices() const (defined in Approximation) | Approximation | virtual |
| trainMeans | GaussProcApproximation | private |
| trainPoints | GaussProcApproximation | private |
| trainStdvs | GaussProcApproximation | private |
| trainValues | GaussProcApproximation | private |
| trainValuesAll | GaussProcApproximation | private |
| trendFunction | GaussProcApproximation | private |
| trendFunctionAll | GaussProcApproximation | private |
| trendOrder | GaussProcApproximation | private |
| usePointSelection | GaussProcApproximation | private |
| value(const Variables &vars) | GaussProcApproximation | protectedvirtual |
| Dakota::Approximation::value(const RealVector &c_vars) | Approximation | virtual |
| values(const Variables &vars) | Approximation | virtual |
| values(const RealVector &c_vars) | Approximation | virtual |
| variables_to_sdv(const Real *sample_c_vars) | Approximation | protected |
| variables_to_sdv(const Variables &vars) | Approximation | protected |
| variance() | Approximation | virtual |
| variance(const RealVector &x) | Approximation | virtual |
| variance_gradient() (defined in Approximation) | Approximation | virtual |
| variance_gradient(const RealVector &x, const SizetArray &dvv) (defined in Approximation) | Approximation | virtual |
| writeCovMat(char[]) | GaussProcApproximation | private |
| writex(const char[]) | GaussProcApproximation | private |
| ~Approximation() | Approximation | virtual |
| ~GaussProcApproximation() | GaussProcApproximation | inline |
1.8.20