引用次数
引用: 394
H-指数: 12
I10-指数 : 14
出版物: 41
Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification
R. Crisovan , D. Torlo , R. Abgrall , S. Tokareva
Journal of Computational and Applied Mathematics 348 466 -489
6
2019
Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs
Francesco Ballarin , Gianluigi Rozza , Davide Torlo
SIAM/ASA Journal on Uncertainty Quantification 6 ( 4) 1475 -1502
27
2018
DeC and ADER: Similarities, Differences and a Unified Framework
Philipp Öffner , Maria Han Veiga , Davide Torlo
Journal of Scientific Computing 87 ( 1) 1 -35
15
2021
Weighted Reduced Order Methods for Parametrized Partial Differential Equations with Random Inputs
Luca Venturi , Davide Torlo , Francesco Ballarin , Gianluigi Rozza
Uncertainty Modeling for Engineering Applications 27 -40
4
2019
High Order Asymptotic Preserving Deferred Correction Implicit-Explicit Schemes for Kinetic Models
Rémi Abgrall , Davide Torlo
SIAM Journal on Scientific Computing 42 ( 3)
3
2020
Arbitrary high-order, conservative and positivity preserving Patankar-type deferred correction schemes
Philipp Öffner , Davide Torlo
Applied Numerical Mathematics 153 15 -34
5
2020
High order entropy preserving ADER-DG schemes
Elena Gaburro , Philipp Öffner , Mario Ricchiuto , Davide Torlo
Applied Mathematics and Computation 440 127644
6
2023
A necessary condition for non oscillatory and positivity preserving time-integration schemes
Thomas Izgin , Philipp Öffner , Davide Torlo
arXiv preprint arXiv:2211.08905
1
2022
An optimisation–based domain–decomposition reduced order model for the incompressible Navier-Stokes equations
Ivan Prusak , Monica Nonino , Davide Torlo , Francesco Ballarin
Computers & Mathematics with Applications 151 172 -189
7
2023
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
arXiv preprint arXiv:2308.03378
5
2023
An optimisation–based domain–decomposition reduced order model for parameter–dependent non–stationary fluid dynamics problems
Ivan Prusak , Davide Torlo , Monica Nonino , Gianluigi Rozza
Computers & Mathematics with Applications 166 253 -268
3
2024
Optimisation--Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics
Ivan Prusak , Davide Torlo , Monica Nonino , Gianluigi Rozza
arXiv preprint arXiv:2402.10570
1
2024
Computations for Sustainability
Sajad Salavatidezfouli , Anna Nikishova , Davide Torlo , Martina Teruzzi
Springer International Publishing 91 -110
2024
Weighted Reduced Order Methods for Uncertainty Quantification
Davide Torlo , Maria Strazzullo , Francesco Ballarin , Gianlugi Rozza
2022
Stabilized reduced basis method for transport PDEs with random inputs
Gianluigi Rozza , Francesco Ballarin , Davide Torlo
2016
Model order reduction for Friedrichs’ systems: a bridge between elliptic and hyperbolic problems
Davide Torlo , Francesco Romor , Gianluigi Rozza
Relaxation deferred correction methods and their applications to residual distribution schemes
Rémi Abgrall , Élise Le Mélédo , Philipp Öffner , Davide Torlo
The SMAI Journal of computational mathematics 8 125 -160
22
2022
Spectral analysis of continuous FEM for hyperbolic PDEs: influence of approximation, stabilization, and time-stepping
Sixtine Michel , Davide Torlo , Mario Ricchiuto , Rémi Abgrall
Journal of Scientific Computing 89 1 -41
13
2021
Spectral analysis of high order continuous FEM for hyperbolic PDEs on triangular meshes: influence of approximation, stabilization, and time-stepping
Sixtine Michel , Davide Torlo , Mario Ricchiuto , Rémi Abgrall
Journal of Scientific Computing 94 ( 3) 49 -49
6
2023
Some preliminary results on a high order asymptotic preserving computationally explicit kinetic scheme
Rémi Abgrall , Davide Torlo
arXiv preprint arXiv:1904.12928
6
2019