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A physics-informed multi-fidelity approach for the estimati..:
Regazzoni, Francesco
;
Pagani, Stefano
;
Cosenza, Alessandro
..
Rendiconti Lincei, Matematica e Applicazioni. 32 (2021) 3 - p. 437-470 , 2021
Link:
https://doi.org/10.4171/rlm/943
RT Journal T1 <Title>A physics-informed multi-fidelity approach for the estimation of differential equations parameters in low-data or large-noise regimes</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.4171_rlm_943&Exemplar=1&LAN=DE A1 Regazzoni, Francesco A1 Pagani, Stefano A1 Cosenza, Alessandro A1 Lombardi, Alessandro A1 Quarteroni, Alfio PB European Mathematical Society - EMS - Publishing House GmbH YR 2021 SN 1120-6330 SN 1720-0768 JF Rendiconti Lincei, Matematica e Applicazioni VO 32 IS 3 SP 437 OP 470 LK http://dx.doi.org/https://doi.org/10.4171/rlm/943 DO https://doi.org/10.4171/rlm/943 SF ELIB - SuUB Bremen
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