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Number of items: 8.
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Andrea Tataranni.
Physics Informed Neural Networks and Neural Tangent Kernel: preliminary results for parametric Optimal Control Problems.
Rel. Maria Strazzullo, Federico Pichi, Gianluigi Rozza. Politecnico di Torino, Master of science program in Mathematical Engineering, 2024
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Angelo Cetrangolo.
Reduced order methods for inverse problem in CFD.
Rel. Claudio Canuto, Gianluigi Rozza. Politecnico di Torino, Master of science program in Mathematical Engineering, 2021
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Anna Ivagnes.
Data Enhanced Reduced Order Methods for Turbulent Flows.
Rel. Claudio Canuto, Gianluigi Rozza. Politecnico di Torino, Master of science program in Mathematical Engineering, 2021
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Pierfrancesco Siena.
A machine learning-based reduced order model for the investigation of the blood flow patterns in presence of a stenosis of the left main coronary artery.
Rel. Claudio Canuto, Gianluigi Rozza. Politecnico di Torino, Master of science program in Mathematical Engineering, 2021
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Giuseppe Infantino.
Reduced Order Methods For Hemodynamics Modelling.
Rel. Claudio Canuto, Gianluigi Rozza. Politecnico di Torino, Master of science program in Mathematical Engineering, 2020
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Giulio Ortali.
A Data-Driven Reduced Order Optimization Approach for Cruise Ship Design.
Rel. Claudio Canuto, Gianluigi Rozza. Politecnico di Torino, Master of science program in Mathematical Engineering, 2019
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Moreno Pintore.
Efficient Computation of Bifurcation Diagrams with Spectral Element Method and Reduced Order Models.
Rel. Claudio Canuto, Gianluigi Rozza. Politecnico di Torino, Master of science program in Mathematical Engineering, 2019
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Julien Genovese.
REDUCED ORDER METHODS FOR UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL FLUID DYNAMICS.
Rel. Claudio Canuto, Gianluigi Rozza. Politecnico di Torino, Master of science program in Mathematical Engineering, 2019
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