Fuhg, Jan N.; Bouklas, Nikolaos On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling. (English) Zbl 1507.74551 Comput. Methods Appl. Mech. Eng. 394, Article ID 114915, 27 p. (2022). MSC: 74S60 PDFBibTeX XMLCite \textit{J. N. Fuhg} and \textit{N. Bouklas}, Comput. Methods Appl. Mech. Eng. 394, Article ID 114915, 27 p. (2022; Zbl 1507.74551) Full Text: DOI arXiv
Kutz, J. Nathan; Brunton, Steven L.; Brunton, Bingni W.; Proctor, Joshua L. Dynamic mode decomposition. Data-driven modeling of complex systems. (English) Zbl 1365.65009 Other Titles in Applied Mathematics 149. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM) (ISBN 978-1-61197-449-2/pbk). xvi, 234 p. (2016). Reviewer: Seenith Sivasundaram (Daytona Beach) MSC: 65C20 65K10 65-02 65P99 37M99 37N99 47A70 93B07 93B30 92D30 92C20 91G10 65Z05 65T60 PDFBibTeX XMLCite \textit{J. N. Kutz} et al., Dynamic mode decomposition. Data-driven modeling of complex systems. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM) (2016; Zbl 1365.65009)