Surrogates for Physics-based and Data-driven Modelling of Parametric Systems: Review and New Perspectives

Fuente: arXiv

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Bibliographic Details
Main Authors:	Giacomini, Matteo, Díez, Pedro
Format:	Preprint
Published:	2026
Subjects:	Numerical Analysis Computational Engineering, Finance, and Science Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2603.12870