Galerkin Team

\n",
"\n",
"Many other wonderful resources and literature:\n",
"\n",
"- Data Driven Science & Engineering [book](http://databookuw.com/databook.pdf) and [videos](http://databookuw.com/page-2/page-4/), by S. L. Brunton and J. N. Kutz.\n",
"- [Reduced Basis Methods for Partial Differential Equations An Introduction](https://link.springer.com/book/10.1007/978-3-319-15431-2) by A. Quarteroni, A. Manzoni, and F. Negri.\n",
"- [Certified Reduced Basis Methods for Parametrized Partial Differential Equations](https://link.springer.com/book/10.1007/978-3-319-22470-1) by J. S. Hesthaven, G. Rozza, and B. Stamm.\n",
"- [A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems](https://epubs.siam.org/doi/abs/10.1137/130932715?casa_token=KjGzJtK-9XsAAAAA:HQka15pY0tyAMzVcHCInAhwm9crsZ_9FqvHHK6LH3TYGSfZ5JyKyoIxttMLIZoxPhwQM27E) by P. Benner, S. Gugercin, and K Willcox.\n",
"- [Model reduction methods for nuclear emulators](https://iopscience.iop.org/article/10.1088/1361-6471/ac83dd) by J. Melendez, C. Drischler, R. J. Furnstahl, A. J. Garcia, and X. Zhang.\n",
"- [BUQEYE guide to projection-based emulators in nuclear physics](https://www.frontiersin.org/articles/10.3389/fphy.2022.1092931/full) by Drischler, C., Melendez, J. A., Furnstahl, R. J., Garcia, A. J., & Zhang, X.\n",
"\n",
"Articles by the Galerkin team:\n",
"\n",
"-[Training and Projecting: A Reduced Basis Method Emulator for Many-Body Physics](https://arxiv.org/abs/2203.05284v2) by E. Bonilla, P. Giuliani, K. Godbey, and D. Lee.\n",
"\n",
"-[Bayes goes fast: Uncertainty Quantification for a Covariant Energy Density Functional emulated by the Reduced Basis Method](https://arxiv.org/abs/2209.13039) by P. Giuliani, K. Godbey, E. Bonilla, F. Viens, and J. Piekarewicz.\n",
"\n"
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