Hi,
After a (functionnal) polynomial chaos has been run, I am searching a way to
explore what basis was used. For example, if a Uniform distribution was used, I
would like to confirm that a Hermite polynomial was used. Of course, this
cannot always been done, especially if one of the input distributions was «
non-standard ».
However, even in the classical case, I was not able to find out what method of
the polynomialChaosAlgorithm could be used to retrieve the information. For
example :
[...]
# Create Polynomial Chaos
polynomialChaosAlgorithm = FunctionalChaosAlgorithm(myFunction, \
inputDistribution, fixedStrategy, evalStrategy)
# Compute expansion coefficients
polynomialChaosAlgorithm.run()
# Explore the result
myAdapStrat = polynomialChaosAlgorithm.getAdaptiveStrategy() # a
AdaptiveStrategy
mybasis = myAdapStrat.getBasis() # a OrthogonalBasis
# and after ... ?
Afterwhile, I thought that this was not possible, because the basis was an
hidden internal object. This is why I tried a second solution : directly
explore the polynomial collection used to create the collection of univariate
polynomials :
# Create a coolection of standard univariate polynomials
polyColl = PolynomialFamilyCollection(dim)
for i in range(dim):
marginali=inputDistribution.getMarginal(i)
polyColl[i] = StandardDistributionPolynomialFactory(marginali)
# Explore the first polynomial
poly0 = polyColl[0]
# and after ... ?
But I was not able to find a way to the Hermite polynomial neither.
Has anyone an idea ?
Regards,
Michaël
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