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

Public Member Functions
def	fromJson (cls, jsonObject)

def	mean (self, grid, alpha, U, T, args, kws)

def	toJson (self)

def	var (self, grid, alpha, U, T, mean, args, kws)

Member Function Documentation

◆ fromJson()

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

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

◆ mean()

def 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.mc.MCAnalysis.MCAnalysis.computeMoments(), and python.uq.analysis.asgc.ASGCAnalysis.ASGCAnalysis.computeMoments().

◆ toJson()

def 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.sampler.asgc.ASGCSampler.ASGCSampler.createMemento(), and python.uq.uq_setting.UQSetting.UQSetting.createMemento().

◆ var()

def 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