89 citations · 880 across the 47 of their papers we have counts for
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Model reduction by separation of variables: a comparison between Hierarchical Model reduction and Proper Generalized Decomposition
Simona Perotto, Michele Giuliano Carlino, Francesco Ballarin
Hierarchical Model reduction and Proper Generalized Decomposition both exploit separation of variables to perform a model reduction. After setting the basics, we exemplify these te…
A reduced order variational multiscale approach for turbulent flows
Giovanni Stabile, Francesco Ballarin, Giacomo Zuccarino +1
The purpose of this work is to present a reduced order modeling framework for parametrized turbulent flows with moderately high Reynolds numbers within the variational multiscale (…
The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: from Laminar to Turbulent Flows
Saddam Hijazi, Shafqat Ali, Giovanni Stabile +2
We present two different reduced order strategies for incompressible parameterized Navier-Stokes equations characterized by varying Reynolds numbers. The first strategy deals with…
A Weighted POD Method for Elliptic PDEs with Random Inputs
Luca Venturi, Francesco Ballarin, Gianluigi Rozza
In this work we propose and analyze a weighted proper orthogonal decomposition method to solve elliptic partial differential equations depending on random input data, for stochasti…