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Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics.

, , and . CoRR, (2022)

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A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows., , , and . HPSC, page 145-155. Springer, (2012)POD-Galerkin Model Order Reduction for Parametrized Time Dependent Linear Quadratic Optimal Control Problems in Saddle Point Formulation., , and . J. Sci. Comput., 83 (3): 55 (2020)Non-intrusive PODI-ROM for patient-specific aortic blood flow in presence of a LVAD device., , , , , , , , and . CoRR, (2020)Model Reduction for Parametrized Optimal Control Problems in Environmental Marine Sciences and Engineering., , , and . SIAM J. Sci. Comput., 40 (4): B1055-B1079 (2018)Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD-Galerkin method and a vascular shape parametrization., , , , , , and . J. Comput. Phys., (2016)Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing., , , and . CoRR, (2021)A multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls., , , , and . CoRR, (2022)Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions., , and . CoRR, (2023)A Non-Intrusive Data-Driven Reduced Order Model for Parametrized CFD-DEM Numerical Simulations., , , , , and . CoRR, (2023)A POD-Galerkin reduced order model for the Navier-Stokes equations in stream function-vorticity formulation., , and . CoRR, (2022)