 Among the many contributions aiming at computing an accurate sparse PCE while using as few model evaluations as possible, basis adaptivity is a particularly interesting approach. It consists in starting from an expansion with a small number of polynomial terms, and then parsimoniously adding and removing basisfunctions in an iterative fashion.
<coherence>  Among the many contributions aiming at computing an accurate sparse PCE while using as few model evaluations as possible, basis adaptivity is a particularly interesting approach. It consists in starting from an expansion with a small number of polynomial terms, and then parsimoniously adding and removing basisfunctions in an iterative fashion.