Numerical Analysis of Galerkin ROMs seminar series

• Past seminars
• Upcoming seminars

Goals and objectives

The main purpose of the Numerical Analysis of Galerkin ROMs (NA G-ROMs) seminar series is to serve as a forum for the Galerkin and Petrov-Galerkin reduced order model (G-ROM) community to exchange their views on both the achievements and the “nagging” open problems in the numerical analysis of G-ROMs, e.g., proper orthogonal decomposition (POD), reduced basis method (RBM), and related techniques.

The NA G-ROMs seminar series aims at fostering the exchange of ideas among the G-ROM community members who are genuinely interested in the development of the mathematical foundations of G-ROMs and, in particular, bringing the G-ROM numerical analysis to a level comparable to that of classical numerical methods, e.g., the finite element method.

Furthermore, the NA G-ROMs seminar series aims at leveraging new mathematical results to develop the next generation of G-ROMs for industrial, geophysical, and biomedical applications.

Students and postdocs, as well as researchers from related fields (e.g., finite element and spectral methods) are especially encouraged to participate.

Upcoming seminars

NA G-ROMs seminars will be back in Fall 2023.

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Past seminars

• Yvon Maday, “Nonlinear compressive reduced basis approximation for PDE’s” , 2023-05-23.

• Yanlai Chen, “GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward non-intrusive Meta-learning of parametric PDEs” , 2023-05-16.

• Mejdi Azaiez, “An intrinsic PGD for parametric symmetric elliptic problems” , 2023-05-09.

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How to participate

• Subscribe to our mailing list to receive links to the zoom seminar room.

• Add the seminars calendar to your calendar.

• Watch past seminars from our YouTube channel.

Organizers

• Francesco Ballarin (Università Cattolica del Sacro Cuore)

• Maria Strazzullo (Politecnico di Torino)

• Birgul Koc (IFP Energies Nouvelles and Inria Memphis)

• Traian Iliescu (Virginia Tech)

Acknowledgments

The seminar series is organized within:

• the ARIA project, a H2020-MSCA-RISE-2019 financed by the European Commission under the Grant Agreement No 872442.

We further acknowledge our institutions:

• MATHEX and Department of Mathematics and Physics, Università Cattolica del Sacro Cuore

• Department of Mathematical Sciences, Politecnico di Torino

• IFP Energies Nouvelles and Inria Memphis

• Interdisciplinary Center for Applied Mathematics and Department of Mathematics, Virginia Tech