17 citations · 37 across the 7 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
math.NA2023
Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions
Francesco Romor, Davide Torlo, Gianluigi Rozza
Friedrichs' systems (FS) are symmetric positive linear systems of first-order partial differential equations (PDEs), which provide a unified framework for describing various ellipt…
math.NA2023★ 12 cited
An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems
Ivan Prusak, Davide Torlo, Monica Nonino +1
In this work, we address parametric non-stationary fluid dynamics problems within a model order reduction setting based on domain decomposition. Starting from the optimisation-base…