TEZZELE, MARCO

TEZZELE, MARCO  

Scuola Internazionale Superiore di Studi Avanzati  

Mostra records
Risultati 1 - 20 di 27 (tempo di esecuzione: 0.026 secondi).
Titolo Data di pubblicazione Autori File
A complete data-driven framework for the efficient solution of parametric shape design and optimisation in naval engineering problems 1-gen-2019 Nicola DemoMarco TezzeleAndrea MolaGianluigi Rozza
A multifidelity approach coupling parameter space reduction and nonintrusive POD with application to structural optimization of passenger ship hulls 1-gen-2023 Marco TezzeleLorenzo FabrisGianluigi Rozza +
A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces 1-gen-2019 Nicola DemoMarco TezzeleGianluigi Rozza
A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems 1-gen-2021 Demo N.Tezzele M.Rozza G.
Advances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: overview and perspectives 1-gen-2016 Salmoiraghi, FilippoBALLARIN, FRANCESCOCorsi, GiovanniMola, AndreaTezzele, MarcoRozza, Gianluigi
Advances in reduced order methods for parametric industrial problems in computational fluid dynamics 1-gen-2018 Rozza, GianluigiMalik, HarisDemo, NicolaTezzele, MarcoGirfoglio, MicheleStabile, GiovanniMola, Andrea
An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment 1-gen-2018 Demo, NicolaTezzele, MarcoMola, AndreaRozza, Gianluigi
An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics 1-gen-2022 Tezzele, MarcoDemo, NicolaMola, AndreaRozza, Gianluigi
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis 1-gen-2021 Romor F.Tezzele M.Rozza G.
Basic ideas and tools for projection-based model reduction of parametric partial differential equations 1-gen-2020 Rozza G.Hess M.Stabile G.Tezzele M.Ballarin F.
Chapter 20: A Deep Learning Approach to Improving Reduced Order Models 1-gen-2022 Meneghetti, LauraShah, NiravGirfoglio, MicheleDemo, NicolaTezzele, MarcoLario, AndreaStabile, GiovanniRozza, Gianluigi
Combined parameter and model reduction of cardiovascular problems by means of active subspaces and POD-Galerkin methods 1-gen-2018 Marco TezzeleFrancesco BallarinGianluigi Rozza
Data-driven parameter and model order reduction for industrial optimisation problems with applications in naval engineering 24-set-2021 TEZZELE, MARCO
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems 1-gen-2018 Tezzele, MarcoSalmoiraghi, FilippoMola, AndreaRozza, Gianluigi
Efficient reduction in shape parameter space dimension for ship propeller blade design 1-gen-2019 Mola AndreaTezzele MarcoGadalla MahmoudRozza Gianluigi +
Enhancing CFD predictions in shape design problems by model and parameter space reduction 1-gen-2020 Tezzele M.Demo N.Stabile G.Mola A.Rozza G.
Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing 1-gen-2021 Nicola DemoMarco TezzeleAndrea MolaGianluigi Rozza
Isogeometric analysis in HPC: object oriented design and open source massively parallel implementation 18-dic-2015 Tezzele, Marco
Kernel-based active subspaces with application to computational fluid dynamics parametric problems using the discontinuous Galerkin method 1-gen-2022 Romor, FTezzele, MLario, ARozza, G
Model order reduction by means of active subspaces and dynamic mode decomposition for parametric hull shape design hydrodynamics 1-gen-2018 Tezzele, MarcoDemo, NicolaGADALLA, Mahmoud Gamal Ali SalemMola, AndreaRozza, Gianluigi