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math.NA2020★ 46 cited
Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems
Giulio Ortali, Nicola Demo, Gianluigi Rozza
This work describes the implementation of a data-driven approach for the reduction of the complexity of parametrical partial differential equations (PDEs) employing Proper Orthogon…
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…