SG++-Doxygen-Documentation
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Public Member Functions | |
def | __init__ (self) |
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.WeightedL2OptRanking.__init__ | ( | self | ) |
References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy.
def python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.update | ( | self, | |
grid, | |||
v, | |||
gpi, | |||
params, | |||
args, | |||
kws | |||
) |
Compute ranking for variance estimation \argmax_{i \in \A} |v_i| \sqrt{E[\varphi_i^2]} @param grid: Grid grid @param v: numpy array coefficients
References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy, sgpp::base::OCLClonedBuffer.initialized, sgpp::base::OCLClonedBufferMultiPlatform.initialized, sgpp::base::OCLBufferWrapperSD< T >.initialized, sgpp::base::OCLStretchedBuffer.initialized, sgpp::base::OCLStretchedBufferMultiPlatform.initialized, and python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.initialized.
python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.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.WeightedL2OptRanking.initialized |
Referenced by python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.update(), python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.update(), python.uq.refinement.RefinementStrategy.VarianceOptRanking.update(), and python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.update().