python.uq.refinement.RefinementStrategy.VarianceBFRanking Class Reference

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

Public Member Functions
def	__init__ (self, strategy)
def	rank (self, grid, gp, alphas, params, args, kws)
def	update (self, grid, v, admissibleSet)
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)

Constructor & Destructor Documentation

__init__()

def python.uq.refinement.RefinementStrategy.VarianceBFRanking.__init__	(		self,
			strategy
	)

References python.uq.refinement.RefinementStrategy.Ranking._ranking, and python.uq.refinement.RefinementStrategy.VarianceBFRanking._strategy.

Member Function Documentation

rank()

def python.uq.refinement.RefinementStrategy.VarianceBFRanking.rank	(		self,
			grid,
			gp,
			alphas,
			params,
			args,
			kws
	)

References python.uq.refinement.RefinementStrategy.Ranking._ranking.

update()

def python.uq.refinement.RefinementStrategy.VarianceBFRanking.update	(		self,
			grid,
			v,
			admissibleSet
	)

References python.uq.refinement.RefinementStrategy.VarianceBFRanking.__computeRanking(), python.uq.refinement.RefinementStrategy.Ranking._ranking, python.uq.refinement.RefinementStrategy.VarianceBFRanking._strategy, python.uq.operations.sparse_grid.estimateSurplus(), and python.uq.operations.sparse_grid.getBasis().

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

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