220 citations · 660 across the 24 of their papers we have counts for
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Advances in Reduced Order Methods for Parametric Industrial Problems in Computational Fluid Dynamics
Gianluigi Rozza, Haris Malik, Nicola Demo +4
Reduced order modeling has gained considerable attention in recent decades owing to the advantages offered in reduced computational times and multiple solutions for parametric prob…
An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics
Marco Tezzele, Nicola Demo, Andrea Mola +1
In this work we present an integrated computational pipeline involving several model order reduction techniques for industrial and applied mathematics, as emerging technology for p…
Model Order Reduction by means of Active Subspaces and Dynamic Mode Decomposition for Parametric Hull Shape Design Hydrodynamics
Marco Tezzele, Nicola Demo, Mahmoud Gadalla +2
We present the results of the application of a parameter space reduction methodology based on active subspaces (AS) to the hull hydrodynamic design problem. Several parametric defo…
An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment
Nicola Demo, Marco Tezzele, Andrea Mola +1
In this contribution, we present the results of the application of a parameter space reduction methodology based on active subspaces to the hull hydrodynamic design problem. Severa…