28 citations · 52 across the 2 of their papers we have counts for
2 papers
math.NA2020★ 24 cited
An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques
Nicola Demo, Giulio Ortali, Gianluca Gustin +2
This contribution describes the implementation of a data--driven shape optimization pipeline in a naval architecture application. We adopt reduced order models (ROMs) in order to i…
math.NA2018★ 28 cited
Shape Optimization by means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition
Nicola Demo, Marco Tezzele, Gianluca Gustin +2
Shape optimization is a challenging task in many engineering fields, since the numerical solutions of parametric system may be computationally expensive. This work presents a novel…