mathLab

Roles of sensitivity analysis and uncertainty quantification for science and engineering models, by Dr. Ralph Smith.

Read more about Roles of sensitivity analysis and uncertainty quantification for science and engineering models, by Dr. Ralph Smith.

Statistics in uncertainty quantification and uncertainty quantification in statistics, by Dr. Amy Braverman.

Read more about Statistics in uncertainty quantification and uncertainty quantification in statistics, by Dr. Amy Braverman.

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

Prusak I, Torlo D, Nonino M, Rozza G. Optimisation–Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics.; 2024.

Structure preserving high order Lagrangian schemes for the solution of hyperbolic equations: from fluid-dynamics to astrophysics

Read more about Structure preserving high order Lagrangian schemes for the solution of hyperbolic equations: from fluid-dynamics to astrophysics

Pro3 joint project

Read more about Pro3 joint project

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

Prusak I, Nonino M, Torlo D, Ballarin F, Rozza G. An optimisation–based domain–decomposition reduced order model for the incompressible Navier-Stokes equations. [Internet]. 2023 ;151:172 - 189. Available from: https://www.sciencedirect.com/science/article/pii/S0898122123004248

An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems

Prusak I, Torlo D, Nonino M, Rozza G. An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems. 2023 .

Geometry based approximation of waves propagating through complex domains

Read more about Geometry based approximation of waves propagating through complex domains

Numerical Solution of PDEs Using the Finite Element Method

The course "Numerical Solution of PDEs using the Finite Element Method" offers a focused exploration of solving Partial Differential Equations (PDEs) using the Finite Element Method (FEM), employing the deal.II software library. Key components of the course include an introduction to PDEs, basics of numerical methods and FEM analysis, practical training using deal.II, and hands-on projects. The course will also cover High-Performance Computing (HPC) techniques for parallelizing, optimizing, and load balancing FEM simulations for real-world applications.

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Numerical computations and thermodynamically complete models for inelastic behaviour in solids

Read more about Numerical computations and thermodynamically complete models for inelastic behaviour in solids

Mathematics