Polynomial chaos metamodel¶
Apply a transform or inverse transform on your polynomial chaos
Fit a distribution from an input sample
Compute grouped indices for the Ishigami function
Create a full or sparse polynomial chaos expansion
Create a polynomial chaos metamodel by integration on the cantilever beam
Advanced polynomial chaos construction
Create a polynomial chaos metamodel from a data set
Create a polynomial chaos for the Ishigami function: a quick start guide to polynomial chaos
Polynomial chaos is sensitive to the degree
Create a sparse chaos by integration
Compute Sobol’ indices confidence intervals
Conditional expectation of a polynomial chaos expansion
Polynomial chaos expansion cross-validation