python.uq.refinement.RefinementStrategy.VarianceOptRanking Class Reference

Inheritance diagram for python.uq.refinement.RefinementStrategy.VarianceOptRanking:

Public Member Functions
def	__init__ (self)
def	compute_mean_phii (self, gs, gpi, basisi)
def	compute_mean_uwi (self, gs, gpswi, w, basis)
def	compute_mean_uwi_phii (self, gs, gpswi, w, gpi, basis)
def	compute_var_phii (self, gs, gpi, basisi, mean_phii)
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

Constructor & Destructor Documentation

__init__()

def python.uq.refinement.RefinementStrategy.VarianceOptRanking.__init__

(

self

)

References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._estimationStrategy, and python.uq.refinement.RefinementStrategy.VarianceOptRanking._estimationStrategy.

Member Function Documentation

compute_mean_phii()

def python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_phii	(		self,
			gs,
			gpi,
			basisi
	)

References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.VarianceOptRanking._estimationStrategy, python.uq.operations.natafTransformation.NatafTransformation.D, python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.D, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.D, and python.uq.refinement.RefinementStrategy.VarianceOptRanking.D.

compute_mean_uwi()

def python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_uwi	(		self,
			gs,
			gpswi,
			w,
			basis
	)

References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.VarianceOptRanking._estimationStrategy, python.uq.operations.natafTransformation.NatafTransformation.D, python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.D, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.D, and python.uq.refinement.RefinementStrategy.VarianceOptRanking.D.

compute_mean_uwi_phii()

def python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_mean_uwi_phii	(		self,
			gs,
			gpswi,
			w,
			gpi,
			basis
	)

References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.VarianceOptRanking._estimationStrategy, python.uq.operations.natafTransformation.NatafTransformation.D, python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.D, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.D, and python.uq.refinement.RefinementStrategy.VarianceOptRanking.D.

compute_var_phii()

def python.uq.refinement.RefinementStrategy.VarianceOptRanking.compute_var_phii	(		self,
			gs,
			gpi,
			basisi,
			mean_phii
	)

References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.VarianceOptRanking._estimationStrategy, python.uq.operations.natafTransformation.NatafTransformation.D, python.uq.refinement.RefinementStrategy.WeightedL2OptRanking.D, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.D, and python.uq.refinement.RefinementStrategy.VarianceOptRanking.D.

update()

def python.uq.refinement.RefinementStrategy.VarianceOptRanking.update	(		self,
			grid,
			v,
			gpi,
			params,
			args,
			kws
	)

Compute ranking for variance estimation

\argmax_{i \in \A} | -v_i^2 V(\varphi_i) - 2 v_i Cov(u_indwli \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, python.uq.refinement.RefinementStrategy.VarianceOptRanking._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, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking.initialized, and python.uq.refinement.RefinementStrategy.VarianceOptRanking.initialized.

Member Data Documentation

D

python.uq.refinement.RefinementStrategy.VarianceOptRanking.D

Referenced by 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().

initialized

python.uq.refinement.RefinementStrategy.VarianceOptRanking.initialized

Referenced by python.uq.refinement.RefinementStrategy.VarianceOptRanking.update(), and python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.update().

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The documentation for this class was generated from the following file:

• datadriven/python/uq/refinement/RefinementStrategy.py