170 citations · 763 across the 30 of their papers we have counts for
5 papers · 1 filter
Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations
Gianluigi Rozza, Martin Hess, Giovanni Stabile +2
We provide first the functional analysis background required for reduced order modeling and present the underlying concepts of reduced basis model reduction. The projection-based m…
A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces
Nicola Demo, Marco Tezzele, Gianluigi Rozza
Reduced order modeling (ROM) provides an efficient framework to compute solutions of parametric problems. Basically, it exploits a set of precomputed high-fidelity solutions --- co…
Efficient Reduction in Shape Parameter Space Dimension for Ship Propeller Blade Design
Andrea Mola, Marco Tezzele, Mahmoud Gadalla +4
In this work, we present the results of a ship propeller design optimization campaign carried out in the framework of the research project PRELICA, funded by the Friuli Venezia Giu…
A complete data-driven framework for the efficient solution of parametric shape design and optimisation in naval engineering problems
Nicola Demo, Marco Tezzele, Andrea Mola +1
In the reduced order modeling (ROM) framework, the solution of a parametric partial differential equation is approximated by combining the high-fidelity solutions of the problem at…
Shape optimization through proper orthogonal decomposition with interpolation and dynamic mode decomposition enhanced by active subspaces
Marco Tezzele, Nicola Demo, Gianluigi Rozza
We propose a numerical pipeline for shape optimization in naval engineering involving two different non-intrusive reduced order method (ROM) techniques. Such methods are proper ort…