Inheritance diagram for python.uq.refinement.RefinementStrategy.WeightedL2BFRanking:

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

Constructor & Destructor Documentation

◆ init()

def python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.__init__ ( self )

References python.uq.refinement.RefinementStrategy.WeightedL2OptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.VarianceOptRanking._estimationStrategy, and python.uq.refinement.RefinementStrategy.WeightedL2BFRanking._estimationStrategy.

Member Function Documentation

◆ update()

def python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.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, python.uq.refinement.RefinementStrategy.ExpectationValueOptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.VarianceOptRanking._estimationStrategy, python.uq.refinement.RefinementStrategy.WeightedL2BFRanking._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, python.uq.refinement.RefinementStrategy.VarianceOptRanking.initialized, and python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.initialized.

Member Data Documentation

◆ D

python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.D

◆ initialized

python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.initialized

Referenced by python.uq.refinement.RefinementStrategy.WeightedL2BFRanking.update().

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

datadriven/python/uq/refinement/RefinementStrategy.py

Public Member Functions

Public Attributes