Dakota
Version 6.20
Explore and Predict with Confidence
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- g -
GaussianProcess() :
GaussianProcess
GaussProcApproximation() :
GaussProcApproximation
gen_primary_resp_map() :
DataTransformModel
generalized_acv_offline_pilot() :
NonDGenACVSampling
generalized_acv_online_pilot() :
NonDGenACVSampling
generalized_acv_pilot_projection() :
NonDGenACVSampling
generalized_rosenbrock() :
TestDriverInterface
generate_dags() :
NonDGenACVSampling
generate_ensembles_dags() :
NonDGenACVSampling
generate_fullspace_samples() :
ActiveSubspaceModel
generate_initial_guesses() :
GaussianProcess
generate_kl_realization() :
RandomFieldModel
generate_multipliers() :
ExperimentData
generate_pca_gp_realization() :
RandomFieldModel
generate_reverse_dag() :
NonDGenACVSampling
generate_samples() :
NonDAdaptImpSampling
generate_sub_trees() :
NonDGenACVSampling
generate_synthetic_data() :
C3Approximation
genz() :
TestDriverInterface
gerstner() :
TestDriverInterface
get() :
ProblemDescDB
get_approx() :
Approximation
get_ba() :
ProblemDescDB
get_best_sample() :
NonDGlobalEvidence
,
NonDGlobalInterval
,
NonDGlobalReliability
,
NonDGlobalSingleInterval
get_beta_coefficients() :
GaussProcApproximation
get_bool() :
ProblemDescDB
get_cholesky_factor() :
GaussProcApproximation
get_common_stopping_criteria() :
Optimizer
get_confidence_intervals() :
LeastSq
get_constraints() :
Constraints
get_cov_matrix() :
GaussProcApproximation
get_cov_vector() :
GaussProcApproximation
get_data() :
DigitalNet
,
Rank1Lattice
get_datetime() :
TrackerHTTP
get_db() :
ProblemDescDB
get_db_method_node() :
ProblemDescDB
get_db_model_node() :
ProblemDescDB
get_default_generating_matrices() :
DigitalNet
get_default_generating_vector() :
Rank1Lattice
get_environment() :
Environment
get_field_data() :
RandomFieldModel
get_generating_matrices_from_file() :
DigitalNet
get_generating_vector_from_file() :
Rank1Lattice
get_genz_coefficients() :
TestDriverInterface
get_grad_cov_vector() :
GaussProcApproximation
get_hostname() :
TrackerHTTP
get_hyperparam_vc_index() :
DataTransformModel
get_iirma() :
ProblemDescDB
get_inline_generating_matrices() :
DigitalNet
get_inline_generating_vector() :
Rank1Lattice
get_int() :
ProblemDescDB
get_interface() :
Interface
,
ProblemDescDB
get_irma() :
ProblemDescDB
get_is() :
ProblemDescDB
get_isa() :
ProblemDescDB
get_iterator() :
Iterator
,
ProblemDescDB
get_iv() :
ProblemDescDB
get_iva() :
ProblemDescDB
get_left_singular_vector() :
ReducedBasis
get_linear_scrambling_matrices() :
DigitalNet
get_main_diagonal() :
ExperimentData
get_matrix() :
HDF5IOHelper
get_model() :
Model
,
ProblemDescDB
get_n_vars() :
SensAnalysisGlobal
get_num_opt_variables() :
GaussianProcess
get_num_terms() :
PolynomialRegression
get_num_variables() :
GaussianProcess
get_objective_function_history() :
GaussianProcess
get_objective_gradient_history() :
GaussianProcess
get_options() :
Surrogate
get_os() :
TrackerHTTP
get_parameter_sets() :
Analyzer
,
DDACEDesignCompExp
,
FSUDesignCompExp
,
NonDCubature
,
NonDLowDiscrepancySampling
,
NonDQuadrature
,
NonDSampling
,
NonDSparseGrid
,
PSUADEDesignCompExp
get_points() :
LowDiscrepancySequence
get_polynomial_coeffs() :
PolynomialRegression
get_polynomial_intercept() :
PolynomialRegression
get_positive_definite_covariance_from_hessian() :
NonDBayesCalibration
get_process_variance() :
GaussProcApproximation
get_real() :
ProblemDescDB
get_response() :
ProblemDescDB
,
Response
get_responses() :
NomadOptimizer::Evaluator
get_responses_from_dakota() :
Optimizer
get_right_singular_vector_transpose() :
ReducedBasis
get_rma() :
ProblemDescDB
get_rol_problem() :
ROLOptimizer
get_rrma() :
ProblemDescDB
get_rrrma() :
ProblemDescDB
get_rsa() :
ProblemDescDB
get_rsm() :
ProblemDescDB
get_rv() :
ProblemDescDB
get_rva() :
ProblemDescDB
get_s2a() :
ProblemDescDB
get_sa() :
ProblemDescDB
get_scaler_features_offsets() :
DataScaler
get_scaler_features_scale_factors() :
DataScaler
get_shared_data() :
SharedApproxData
get_short() :
ProblemDescDB
get_sizet() :
ProblemDescDB
get_source_pair() :
ApplicationInterface
get_srma() :
ProblemDescDB
get_ssa() :
ProblemDescDB
get_string() :
ProblemDescDB
get_sub_model() :
ActiveSubspaceModel
,
AdaptedBasisModel
,
RandomFieldModel
get_sza() :
ProblemDescDB
get_szs() :
ProblemDescDB
get_theta_history() :
GaussianProcess
get_trend() :
GaussProcApproximation
get_uid() :
TrackerHTTP
get_usa() :
ProblemDescDB
get_username() :
TrackerHTTP
get_ushort() :
ProblemDescDB
get_var_samples_argsort() :
SensAnalysisGlobal
get_variable_bounds_from_dakota() :
Optimizer
get_variables() :
ProblemDescDB
,
Variables
get_vbd_parameter_sets() :
Analyzer
get_vector_matrix() :
HDF5IOHelper
get_view() :
Variables
get_voidss() :
ProblemDescDB
get_wilks_alpha_min() :
NonDSampling
get_workdir_name() :
ProcessApplicInterface
GetBestMOSolutions() :
JEGAOptimizer
GetBestSolutions() :
JEGAOptimizer
GetBestSOSolutions() :
JEGAOptimizer
getDataSize() :
BootstrapSamplerBase< Data >
GetDescription() :
JEGAOptimizer::Evaluator
getEvaluatorType() :
APPSEvalMgr
GetLongOpt() :
GetLongOpt
GetName() :
JEGAOptimizer::Evaluator
GetNumberLinearConstraints() :
JEGAOptimizer::Evaluator
GetNumberNonLinearConstraints() :
JEGAOptimizer::Evaluator
getVector() :
GP_Objective
global() :
PebbldBranchSub
gnewton_set_recast() :
Iterator
GP_Objective() :
GP_Objective
GPmodel_apply() :
GaussProcApproximation
GPmodel_build() :
GaussProcApproximation
gradient() :
Approximation
,
C3Approximation
,
DakotaROLObjectiveGrad
,
GaussProcApproximation
,
PecosApproximation
,
QMEApproximation
,
SurfpackApproximation
,
GaussianProcess
,
GP_Objective
,
PolynomialRegression
,
Python
,
Surrogate
,
SurrogatesBaseApprox
,
TANA3Approximation
,
TaylorApproximation
,
VPSApproximation
gradient_id_analytic() :
Model
gradient_id_numerical() :
Model
gradient_type() :
Model
gradients_view() :
ExperimentData
Graphics() :
Graphics
graphics() :
OutputManager
graphics_counter() :
OutputManager
grid_file_test() :
GridApplicInterface
GridApplicInterface() :
GridApplicInterface
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