Polynomial meta-models with canonical low-rank approximations: numerical insights and comparison to sparse polynomial chaos expansions

Katerina Konakli, Bruno Sudret

The growing need for uncertainty analysis of complex computational models has led to an expanding use of meta-models across engineering and sciences. The efficiency of meta-modelin…