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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)

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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)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)A multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls., , , , and . CoRR, (2022)Reduced Basis, Embedded Methods and Parametrized Levelset Geometry., , , and . CoRR, (2023)A Dimensionality Reduction Approach for Convolutional Neural Networks., , and . CoRR, (2021)A physics-based reduced order model for urban air pollution prediction., , , , and . CoRR, (2023)Projection based semi-implicit partitioned Reduced Basis Method for non parametrized and parametrized Fluid-Structure Interaction problems., , , and . CoRR, (2022)Model Order Reduction for Deforming Domain Problems in a Time-Continuous Space-Time Setting., , , and . CoRR, (2023)Multilevel and weighted reduced basis method for stochastic optimal control problems constrained by Stokes equations., , and . Numerische Mathematik, 133 (1): 67-102 (2016)Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions., , and . CoRR, (2023)