Davide Torlo

According to our database, Davide Torlo authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

On improving the efficiency of ADER methods.

Maria Han Veiga, Lorenzo Micalizzi, Davide Torlo

Appl. Math. Comput., April, 2024

Calibration-Based ALE Model Order Reduction for Hyperbolic Problems with Self-Similar Travelling Discontinuities.

Monica Nonino, Davide Torlo

CoRR, 2024

A high-order, fully well-balanced, unconditionally positivity-preserving finite volume framework for flood simulations.

Mirco Ciallella, Lorenzo Micalizzi, Victor Michel-Dansac, Philipp Öffner, Davide Torlo

CoRR, 2024

Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics.

Ivan Prusak, Davide Torlo, Monica Nonino, Gianluigi Rozza

CoRR, 2024

2023

An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations.

Ivan Prusak, Monica Nonino, Davide Torlo, Francesco Ballarin, Gianluigi Rozza

Comput. Math. Appl., December, 2023

Arbitrary High Order WENO Finite Volume Scheme with Flux Globalization for Moving Equilibria Preservation.

Mirco Ciallella, Davide Torlo, Mario Ricchiuto

J. Sci. Comput., August, 2023

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

J. Sci. Comput., February, 2023

Model order reduction strategies for weakly dispersive waves.

Davide Torlo, Mario Ricchiuto

Math. Comput. Simul., 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

CoRR, 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

CoRR, 2023

High order entropy preserving ADER-DG schemes.

Elena Gaburro, Philipp Öffner, Mario Ricchiuto, Davide Torlo

Appl. Math. Comput., 2023

2022

Efficient iterative arbitrary high order methods: an adaptive bridge between low and high order.

Lorenzo Micalizzi, Davide Torlo, Walter Boscheri

CoRR, 2022

A necessary condition for non oscillatory and positivity preserving time-integration schemes.

Thomas Izgin, Philipp Öffner, Davide Torlo

CoRR, 2022

A new efficient explicit Deferred Correction framework: analysis and applications to hyperbolic PDEs and adaptivity.

Lorenzo Micalizzi, Davide Torlo

CoRR, 2022

High order entropy preserving ADER scheme.

Elena Gaburro, Philipp Öffner, Mario Ricchiuto, Davide Torlo

CoRR, 2022

2021

DeC and ADER: Similarities, Differences and a Unified Framework.

Maria Han Veiga, Philipp Öffner, Davide Torlo

J. Sci. Comput., 2021

Spectral Analysis of Continuous FEM for Hyperbolic PDEs: Influence of Approximation, Stabilization, and Time-Stepping.

Sixtine Michel, Davide Torlo, Mario Ricchiuto, Rémi Abgrall

J. Sci. Comput., 2021

An Arbitrary High Order and Positivity Preserving Method for the Shallow Water Equations.

Mirco Ciallella, Lorenzo Micalizzi, Philipp Öffner, Davide Torlo

CoRR, 2021

Analytical travelling vortex solutions of hyperbolic equations for validating very high order schemes.

Mario Ricchiuto, Davide Torlo

CoRR, 2021

A New Stability Approach for Positivity-Preserving Patankar-type Schemes.

Davide Torlo, Philipp Öffner, Hendrik Ranocha

CoRR, 2021

Relaxation Deferred Correction Methods and their Applications to Residual Distribution Schemes.

Rémi Abgrall, Élise Le Mélédo, Philipp Öffner, Davide Torlo

CoRR, 2021

2020

High Order Asymptotic Preserving Deferred Correction Implicit-Explicit Schemes for Kinetic Models.

Rémi Abgrall, Davide Torlo

SIAM J. Sci. Comput., 2020

Model Reduction for Advection Dominated Hyperbolic Problems in an ALE Framework: Offline and Online Phases.

Davide Torlo

CoRR, 2020

DeC and ADER: Similarities, Differences and an Unified Framework.

Maria Han Veiga, Philipp Öffner, Davide Torlo

CoRR, 2020

2019

Model order reduction for parametrized nonlinear hyperbolic problems as an application to uncertainty quantification.

Roxana Crisovan, Davide Torlo, Rémi Abgrall, Svetlana V. Tokareva

J. Comput. Appl. Math., 2019

2018

Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs.

Davide Torlo, Francesco Ballarin, Gianluigi Rozza

SIAM/ASA J. Uncertain. Quantification, 2018