python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy Class Reference

Inheritance diagram for python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy:

Public Member Functions
	fromJson (cls, jsonObject)
	mean (self, grid, alpha, U, T, *args, **kws)
	toJson (self)
	var (self, grid, alpha, U, T, mean, *args, **kws)

Protected Member Functions
	_extractPDFforMomentEstimation (self, U, T)

Member Function Documentation

_extractPDFforMomentEstimation()

python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy._extractPDFforMomentEstimation (   self,   U,   T  )

protected

Referenced by python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.mean(), python.uq.estimators.CollocationPointsStrategy.CollocationPointsStrategy.mean(), python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.mean(), python.uq.estimators.MarginalAnalyticEstimationStrategy.MarginalAnalyticEstimationStrategy.mean(), python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.secondMoment(), python.uq.estimators.CollocationPointsStrategy.CollocationPointsStrategy.var(), and python.uq.estimators.MonteCarloStrategy.MonteCarloStrategy.var().

fromJson()

python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy.fromJson	(		cls,
			jsonObject
	)

Referenced by python.learner.Learner.Learner.setMemento(), python.uq.analysis.asgc.ASGCKnowledge.ASGCKnowledge.setMemento(), python.uq.learner.Learner.Learner.setMemento(), python.uq.sampler.asgc.ASGCSampler.ASGCSampler.setMemento(), and python.uq.uq_setting.UQSetting.UQSetting.setMemento().

mean()

python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy.mean	(		self,
			grid,
			alpha,
			U,
			T,
		*	args,
		**	kws
	)

Compute the expectation value

@param grid: Grid
@param alpha: DataVector coefficients
@param U: Dist distribution
@param T: Transformation function

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeMoments(), python.uq.analysis.mc.MCAnalysis.MCAnalysis.computeMoments(), python.uq.dists.LibAGFDist.LibAGFDist.var(), and python.uq.dists.SGDEdist.SGDEdist.var().

toJson()

python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy.toJson

(

self

)

Returns a string that represents the object

Referenced by python.uq.sampler.asgc.ASGCSampler.ASGCSampler.__str__(), python.uq.uq_setting.UQSetting.UQSetting.__str__(), python.uq.analysis.asgc.ASGCKnowledge.ASGCKnowledge.createMemento(), python.uq.sampler.asgc.ASGCSampler.ASGCSampler.createMemento(), and python.uq.uq_setting.UQSetting.UQSetting.createMemento().

var()

python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy.var	(		self,
			grid,
			alpha,
			U,
			T,
			mean,
		*	args,
		**	kws
	)

Compute the variance

@param grid: Grid
@param alpha: DataVector coefficients
@param U: Dist distribution
@param T: Transformation function
@param mean: double mean of sparse grid function

Referenced by python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeMoments(), python.uq.analysis.mc.MCAnalysis.MCAnalysis.computeMoments(), python.uq.dists.Dist.Dist.cov(), python.uq.dists.DataDist.DataDist.std(), python.uq.dists.Dist.Dist.std(), and python.uq.dists.J.J.std().

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

• datadriven/python/uq/estimators/SparseGridEstimationStrategy.py