SG++-Doxygen-Documentation
python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy Class Reference
Inheritance diagram for python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy:

Public Member Functions

def __init__ (self)
 
def computeSystemMatrixForMean (self, grid, W, D)
 
def computeSystemMatrixForMeanList (self, gs, gps, basis, W, D)
 
def computeSystemMatrixForMeanProjected (self, gs, gpsi, basisi, dist, trans, dims)
 
def computeSystemMatrixForVariance (self, grid, W, D)
 
def computeSystemMatrixForVarianceList (self, gs, gpsi, basisi, gpsj, basisj, W, D)
 
def computeSystemMatrixForVarianceProjected (self, gs, gpsi, basisi, gpsj, basisj, dist, trans, dims)
 
def getSystemMatrixForMean (self, grid, W, D)
 
def getSystemMatrixForVariance (self, grid, W, D)
 
def initQuadratureStrategy (self, grid)
 
def mean (self, grid, alpha, U, T)
 
def secondMoment (self, grid, alpha, U, T)
 
def var (self, grid, alpha, U, T, mean)
 

Public Attributes

 A_mean
 
 A_var
 
 bilinearForm
 
 linearForm
 
 trilinearForm
 

Constructor & Destructor Documentation

◆ __init__()

def python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.__init__ (   self)

Member Function Documentation

◆ computeSystemMatrixForMean()

def python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.computeSystemMatrixForMean (   self,
  grid,
  W,
  D 
)

◆ computeSystemMatrixForMeanList()

def python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.computeSystemMatrixForMeanList (   self,
  gs,
  gps,
  basis,
  W,
  D 
)

◆ computeSystemMatrixForMeanProjected()

def python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.computeSystemMatrixForMeanProjected (   self,
  gs,
  gpsi,
  basisi,
  dist,
  trans,
  dims 
)

◆ computeSystemMatrixForVariance()

def python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.computeSystemMatrixForVariance (   self,
  grid,
  W,
  D 
)

◆ computeSystemMatrixForVarianceList()

◆ computeSystemMatrixForVarianceProjected()

◆ getSystemMatrixForMean()

◆ getSystemMatrixForVariance()

◆ initQuadratureStrategy()

◆ mean()

def python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.mean (   self,
  grid,
  alpha,
  U,
  T 
)
Extraction of the expectation the given sparse grid function
interpolating the product of function value and pdf.

\int\limits_{[0, 1]^d} f_N(x) * pdf(x) dx

References python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy._extractPDFforMomentEstimation(), and python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.getSystemMatrixForMean().

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

◆ secondMoment()

def python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.secondMoment (   self,
  grid,
  alpha,
  U,
  T 
)
Extraction of the second moment of the given sparse grid function
interpolating the product of function value and pdf.

\int\limits_{[0, 1]^d} f(x)^2 * pdf(x) dx

References python.uq.estimators.SparseGridEstimationStrategy.SparseGridEstimationStrategy._extractPDFforMomentEstimation(), and python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.getSystemMatrixForVariance().

Referenced by python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.var().

◆ var()

def python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.var (   self,
  grid,
  alpha,
  U,
  T,
  mean 
)
Extraction of variance of the given sparse grid function
interpolating the product of function value and pdf.

\int\limits_{[0, 1]^d} (f(x) - E(f))^2 * pdf(x) dx

References sgpp::combigrid::VarianceNormStrategy.secondMoment, and python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.secondMoment().

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

Member Data Documentation

◆ A_mean

python.uq.estimators.AnalyticEstimationStrategy.AnalyticEstimationStrategy.A_mean

◆ A_var

◆ bilinearForm

◆ linearForm

◆ trilinearForm


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