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2020 – today
- 2024
[j10]Francesco Romor, Marco Tezzele, Gianluigi Rozza
:
A Local Approach to Parameter Space Reduction for Regression and Classification Tasks. J. Sci. Comput. 99(3): 83 (2024)- [i19]Sara M. Ichinaga, Francesco Andreuzzi, Nicola Demo, Marco Tezzele, Karl Lapo, Gianluigi Rozza, Steven L. Brunton, J. Nathan Kutz:
PyDMD: A Python package for robust dynamic mode decomposition. CoRR abs/2402.07463 (2024) - [i18]Alessandro Pecile, Nicola Demo, Marco Tezzele, Gianluigi Rozza, Dimitri Breda:
Data-driven Discovery of Delay Differential Equations with Discrete Delays. CoRR abs/2407.19640 (2024) - [i17]Marco Tezzele, Steven Carr, Ufuk Topcu, Karen E. Willcox:
Adaptive planning for risk-aware predictive digital twins. CoRR abs/2407.20490 (2024) - 2023
- [j9]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A DeepONet multi-fidelity approach for residual learning in reduced order modeling. Adv. Model. Simul. Eng. Sci. 10(1): 12 (2023) - [d16]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2023
- [d15]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2023 - [d14]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2023 - [d13]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2023 - [d12]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2023 - [i16]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A DeepONet Multi-Fidelity Approach for Residual Learning in Reduced Order Modeling. CoRR abs/2302.12682 (2023) - [i15]Matteo Torzoni, Marco Tezzele, Stefano Mariani, Andrea Manzoni, Karen E. Willcox:
A digital twin framework for civil engineering structures. CoRR abs/2308.01445 (2023) - 2022
- [i14]Marco Tezzele, Lorenzo Fabris, Matteo Sidari, Mauro Sicchiero, Gianluigi Rozza:
A multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls. CoRR abs/2206.01243 (2022) - 2021
- [j8]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems. SIAM J. Sci. Comput. 43(3): B831-B853 (2021) - [j7]Marco Tezzele, Nicola Demo, Andrea Mola, Gianluigi Rozza:
PyGeM: Python Geometrical Morphing. Softw. Impacts 7: 100047 (2021) - [j6]Francesco Romor, Marco Tezzele, Gianluigi Rozza:
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis. Softw. Impacts 10: 100133 (2021) - [i13]Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza:
Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing. CoRR abs/2101.03781 (2021) - [i12]Francesco Romor, Marco Tezzele, Gianluigi Rozza:
ATHENA: Advanced Techniques for High Dimensional Parameter Spaces to Enhance Numerical Analysis. CoRR abs/2105.06713 (2021) - [i11]Francesco Romor, Marco Tezzele, Gianluigi Rozza:
A local approach to parameter space reduction for regression and classification tasks. CoRR abs/2107.10867 (2021) - [i10]Francesco Romor, Marco Tezzele, Markus Mrosek, Carsten Othmer, Gianluigi Rozza:
Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering. CoRR abs/2110.14396 (2021) - [i9]Eleonora Donadini, Maria Strazzullo, Marco Tezzele, Gianluigi Rozza:
A data-driven partitioned approach for the resolution of time-dependent optimal control problems with dynamic mode decomposition. CoRR abs/2111.13906 (2021) - 2020
- [j5]Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
Enhancing CFD predictions in shape design problems by model and parameter space reduction. Adv. Model. Simul. Eng. Sci. 7(1): 40 (2020) - [i8]Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
Enhancing CFD predictions in shape design problems by model and parameter space reduction. CoRR abs/2001.05237 (2020) - [i7]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems. CoRR abs/2006.07282 (2020) - [i6]Mahmoud Gadalla, Marta Cianferra, Marco Tezzele, Giovanni Stabile, Andrea Mola, Gianluigi Rozza:
On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis. CoRR abs/2006.14428 (2020) - [i5]Francesco Romor, Marco Tezzele, Andrea Lario, Gianluigi Rozza:
Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method. CoRR abs/2008.12083 (2020) - [i4]Francesco Romor, Marco Tezzele, Gianluigi Rozza:
Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces. CoRR abs/2010.08349 (2020)
2010 – 2019
- 2019
- [j4]Mahmoud Gadalla, Marco Tezzele, Andrea Mola, Gianluigi Rozza:
BladeX: Python Blade Morphing. J. Open Source Softw. 4(34): 1203 (2019) - [d11]Mahmoud Gadalla, Marco Tezzele, Andrea Mola, Gianluigi Rozza:
BladeX: Python Blade Morphing. Zenodo, 2019 - [i3]Andrea Mola, Marco Tezzele, Mahmoud Gadalla, Federica Valdenazzi, Davide Grassi, Roberta Padovan, Gianluigi Rozza:
Efficient Reduction in Shape Parameter Space Dimension for Ship Propeller Blade Design. CoRR abs/1905.09815 (2019) - [i2]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
A non-intrusive approach for proper orthogonal decomposition modal coefficients reconstruction through active subspaces. CoRR abs/1907.12777 (2019) - [i1]Gianluigi Rozza, Martin W. Hess, Giovanni Stabile, Marco Tezzele, Francesco Ballarin:
Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations. CoRR abs/1911.08954 (2019) - 2018
- [j3]Marco Tezzele, Filippo Salmoiraghi, Andrea Mola, Gianluigi Rozza:
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems. Adv. Model. Simul. Eng. Sci. 5(1): 25:1-25:19 (2018) - [j2]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
PyDMD: Python Dynamic Mode Decomposition. J. Open Source Softw. 3(22): 530 (2018) - [j1]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. J. Open Source Softw. 3(24): 661 (2018) - [d10]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2018 - [d9]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2018 - [d8]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2018 - [d7]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2018 - [d6]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2018 - [d5]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2018 - [d4]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2018 - [d3]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2018 - [d2]Nicola Demo, Marco Tezzele, Gianluigi Rozza:
EZyRB: Easy Reduced Basis method. Zenodo, 2018 - [d1]Marco Tezzele, Nicola Demo, Gianluigi Rozza:
PyDMD: Python Dynamic Mode Decomposition. Zenodo, 2018
Coauthor Index
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last updated on 2024-11-07 20:30 CET by the dblp team
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