We connect the approximation theoretic notions of polynomial norming mesh and Tchakaloff-like quadrature to the statistical theory of optimal designs, obtaining near optimal polynomial regression at a near optimal number of sampling locations on domains with different shapes.

Near optimal polynomial regression on norming meshes

Bos L.;Piazzon F.;Vianello M.
2019

Abstract

We connect the approximation theoretic notions of polynomial norming mesh and Tchakaloff-like quadrature to the statistical theory of optimal designs, obtaining near optimal polynomial regression at a near optimal number of sampling locations on domains with different shapes.
2019
2019 13th International Conference on Sampling Theory and Applications, SampTA 2019
978-1-7281-3741-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3337868
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