SG++-Doxygen-Documentation
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Public Member Functions | |
def | __init__ (self) |
def | compute_mean_phii (self, gs, gpi, basisi) |
def | update (self, grid, v, gpi, params, args, kws) |
Public Member Functions inherited from python.uq.refinement.RefinementStrategy.Ranking | |
def | __init__ (self) |
def | getKnowledgeType (self) |
def | rank (self, grid, gp, alphas, params, t=0, args, kws) |
def | update (self, grid, v, gpi, params) |
Public Attributes | |
D | |
initialized | |
def python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.__init__ | ( | self | ) |
References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy, and python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._estimationStrategy.
def python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.compute_mean_phii | ( | self, | |
gs, | |||
gpi, | |||
basisi | |||
) |
References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._estimationStrategy, python.uq.operations.natafTransformation.NatafTransformation.D, python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.D, and python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.D.
def python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.update | ( | self, | |
grid, | |||
v, | |||
gpi, | |||
params, | |||
args, | |||
kws | |||
) |
Compute ranking for variance estimation \argmax_{i \in \A} | |v_i| E(\varphi_i) @param grid: Grid grid @param v: numpy array coefficients @param admissibleSet: AdmissibleSet
References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._estimationStrategy, sgpp::base::OCLClonedBuffer.initialized, sgpp::base::OCLClonedBufferMultiPlatform.initialized, sgpp::base::OCLBufferWrapperSD< T >.initialized, sgpp::base::OCLStretchedBuffer.initialized, sgpp::base::OCLStretchedBufferMultiPlatform.initialized, python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.initialized, and python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.initialized.
python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.D |
Referenced by python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.compute_mean_phii(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_phii(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_uwi(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_uwi_phii(), and python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_var_phii().
python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.initialized |