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20222026
most citedAn optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations

17 citations · 29 across the 4 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2026

Mixed-precision GPU algorithms for efficient turbulent flow simulations with Raviart-Thomas finite elements

Ivan Prusak, Enes Mustafa Soydan, Ivan Pribec +1

We propose GPU algorithms for high-fidelity simulation of incompressible turbulent flows. Discretization in space is performed with H(div)-conforming high-order Raviart-Thomas fini…

math.NA2024

A time-adaptive algorithm for pressure dominated flows: a heuristic estimator

Ivan Prusak, Davide Torlo, Monica Nonino +1

This work aims to introduce a heuristic timestep-adaptive algorithm for Computational Fluid Dynamics (CFD) and Fluid-Structure Interaction (FSI) problems where the flow is dominate…

math.NA2024

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

Ivan Prusak, Davide Torlo, Monica Nonino +1

Using Domain Decomposition (DD) algorithm on non--overlapping domains, we compare couplings of different discretisation models, such as Finite Element (FEM) and Reduced Order (ROM)…

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…

math.NA2022★ 17 cited

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

Ivan Prusak, Monica Nonino, Davide Torlo +2

The aim of this work is to present a model reduction technique in the framework of optimal control problems for partial differential equations. We combine two approaches used for r…