A physics-informed multi-fidelity approach for the estimation of differential equations parameters in low-data or large-noise regimes

This is a publication. If there is no link to the publication on this page, you can try the pre-formated search via the search engines listed on this page.

Authors: Regazzoni, Francesco; Pagani, Stefano; Cosenza, Alessandro; Lombardi, Alessandro; Quarteroni, Alfio

Journal title: Rendiconti Lincei. Matematica e Applicazioni

Journal number: Atti Accad. Naz. Lincei Cl. Sci. Fis. Mat. Natur. 32 (2021), no. 3

Journal publisher: Accademia Nazionale dei Lincei

Published year: 2021

Published pages: 437–470

DOI identifier: 10.4171/rlm/943

ISSN: 1120-6330