, 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] |
approxData | Approximation | [protected] |
approxGradient | Approximation | [protected] |
approxHessian | Approximation | [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] |
approxPoint | GaussProcApproximation | [private] |
approxValue | GaussProcApproximation | [private] |
approxVariance | GaussProcApproximation | [private] |
betaCoeffs | GaussProcApproximation | [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] |
cholFlag | GaussProcApproximation | [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] |
covMatrix | GaussProcApproximation | [private] |
covSlvr | GaussProcApproximation | [private] |
covVector | GaussProcApproximation | [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] |
GPinstance | GaussProcApproximation | [private, static] |
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 | [protected, virtual] |
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] |
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] |
normTrainPoints | GaussProcApproximation | [private] |
normTrainPointsAll | GaussProcApproximation | [private] |
num_constraints() const | GaussProcApproximation | [protected, 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(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] |
procVar | GaussProcApproximation | [private] |
rebuild() | Approximation | [virtual] |
recommended_coefficients() const | Approximation | [virtual] |
recommended_points(bool constraint_flag) const | Approximation | |
restore() | Approximation | [virtual] |
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] |
store() | Approximation | [virtual] |
thetaParams | GaussProcApproximation | [private] |
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 | [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] |