24 citations · 24 across the 1 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
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…