Andrea Manzoni

发表

A Time Series Autoencoder for Load Identification via Dimensionality Reduction of Sensor Recordings

Alberto Corigliano, Stefano Mariani, Luca Rosafalco, 2020 .

Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants

Gianluigi Rozza, Andrea Manzoni, D. B. P. Huynh, 2013, Numerische Mathematik.

Construction of RB Spaces by the Greedy Algorithm

Alfio Quarteroni, Andrea Manzoni, Federico Negri, 2016 .

Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics

Gianluigi Rozza, Andrea Manzoni, Toni Lassila, 2011, System Modelling and Optimization.

Shape Optimization by Free-Form Deformation: Existence Results and Numerical Solution for Stokes Flows

Gianluigi Rozza, Andrea Manzoni, Francesco Ballarin, 2014, J. Sci. Comput..

Fully convolutional networks for structural health monitoring through multivariate time series classification

Alberto Corigliano, Stefano Mariani, Luca Rosafalco, 2020, Advanced Modeling and Simulation in Engineering Sciences.

Reduced-order modeling of blood flow for noninvasive functional evaluation of coronary artery disease

Vartan Kurtcuoglu, Alfio Quarteroni, André Plass, 2019, Biomechanics and Modeling in Mechanobiology.

ADVANCED REDUCED-ORDER MODELING STRATEGIES FOR PARAMETRIZED PDES AND APPLICATIONS

Gianluigi Rozza, Andrea Manzoni, 2014 .

Multi Space Reduced Basis Preconditioners for Large-Scale Parametrized PDEs

Alfio Quarteroni, Andrea Manzoni, Simone Deparis, 2018, SIAM J. Sci. Comput..

Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method

Alfio Quarteroni, Andrea Manzoni, Stefano Pagani, 2018, Computer Methods in Applied Mechanics and Engineering.

Heuristic strategies for the approximation of stability factors in quadratically nonlinear parametrized PDEs

Andrea Manzoni, Federico Negri, A. Manzoni, 2015, Adv. Comput. Math..

Extension to Nonaffine Problems

Alfio Quarteroni, Andrea Manzoni, Federico Negri, 2016 .

Deep learning-based reduced order models in cardiac electrophysiology

Alfio Quarteroni, Andrea Manzoni, Luca Dede, 2020, PloS one.

Efficient Reduction of PDEs Defined on Domains with Variable Shape

Andrea Manzoni, Federico Negri, A. Manzoni, 2017 .

Reduction strategies for PDE-constrained oprimization problems in Haemodynamics

Gianluigi Rozza, Andrea Manzoni, Federico Negri, 2013 .

Statistical closure modeling for reduced-order models of stationary systems by the ROMES method pdf

Andrea Manzoni, Kevin Carlberg, Stefano Pagani, 2019, International Journal for Uncertainty Quantification.

Use of Operational Microwave Link Measurements for the Tomographic Reconstruction of 2-D Maps of Accumulated Rainfall

Andrea Manzoni, Michele d'Amico, Gian Leonardo Solazzi, 2016, IEEE Geoscience and Remote Sensing Letters.

Mathematical Modelling of the Human Cardiovascular System

Alfio Quarteroni, Andrea Manzoni, Luca Dedè, 2019 .

Reduced basis approximation of parametrized optimal flow control problems for the Stokes equations

Gianluigi Rozza, Andrea Manzoni, Federico Negri, 2015, Comput. Math. Appl..

SUIHTER: a new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy pdf

Alfio Quarteroni, Nicola Parolini, Andrea Manzoni, 2021, Proceedings of the Royal Society A.

Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models

Andrea Manzoni, Toni Lassila, Stefano Pagani, 2016, SIAM/ASA J. Uncertain. Quantification.

Efficient model reduction of parametrized systems by matrix discrete empirical interpolation

David Amsallem, Andrea Manzoni, Federico Negri, 2015, J. Comput. Phys..

A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs pdf

Andrea Manzoni, Luca Dede, Stefania Fresca, 2020, Journal of Scientific Computing.

Hyper-reduced order models for parametrized unsteady Navier-Stokes equations on domains with variable shape

Andrea Manzoni, Niccolò Dal Santo, A. Manzoni, 2019, Advances in Computational Mathematics.

An algebraic least squares reduced basis method for the solution of nonaffinely parametrized Stokes equations

Alfio Quarteroni, Andrea Manzoni, N. Dal Santo, 2019, Computer Methods in Applied Mechanics and Engineering.

Efficient State/Parameter Estimation in Nonlinear Unsteady PDEs by a Reduced Basis Ensemble Kalman Filter

Alfio Quarteroni, Andrea Manzoni, Stefano Pagani, 2017, SIAM/ASA J. Uncertain. Quantification.

Multi space reduced basis preconditioners for parametrized Stokes equations

Alfio Quarteroni, Andrea Manzoni, Simone Deparis, 2019, Comput. Math. Appl..

MATHICSE Technical Report : Efficient state/Parameter estimation in nonlinear unsteady PDEs by reduced basis ensemble Kalman filter

Alfio Quarteroni, Andrea Manzoni, Stefano Pagani, 2019 .

A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows

Gianluigi Rozza, Alfio Quarteroni, Andrea Manzoni, 2012, HPSC.

A fast virtual surgery platform for many scenarios haemodynamics of patient-specific coronary artery bypass grafts

Gianluigi Rozza, Alfio Quarteroni, Elena Faggiano, 2016 .

A Hybrid Structural Health Monitoring Approach Based on Reduced-Order Modelling and Deep Learning

Alberto Corigliano, Stefano Mariani, Luca Rosafalco, 2020 .

Patient-specific haemodynamics of coronary artery bypass grafts: clinical imaging and reduced order models

Gianluigi Rozza, Alfio Quarteroni, Elena Faggiano, 2013 .

Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD-Galerkin method and a vascular shape parametrization

Gianluigi Rozza, Alfio Quarteroni, Elena Faggiano, 2016, J. Comput. Phys..

The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications *

Alfio Quarteroni, Christian Vergara, Andrea Manzoni, 2017, Acta Numerica.

Reduction and Control

Alfio Quarteroni, Andrea Manzoni, Federico Negri, 2016 .

Reduced Basis Method for Parametrized Elliptic Optimal Control Problems

Gianluigi Rozza, Alfio Quarteroni, Andrea Manzoni, 2013, SIAM J. Sci. Comput..

Learning High-Order Interactions via Targeted Pattern Search pdf

Francesca Ieva, Anna Maria Paganoni, Andrea Manzoni, 2021, ArXiv.

Density Control of Large-Scale Particles Swarm Through PDE-Constrained Optimization

Francesco Braghin, Andrea Manzoni, Carlo Sinigaglia, 2021, IEEE Transactions on Robotics.

Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models

Andrea Manzoni, Stefania Fresca, Federico Fatone, 2022, Mathematics in Engineering.

Deep learning‐based reduced order models for the real‐time simulation of the nonlinear dynamics of microstructures pdf

Andrea Manzoni, Giorgio Gobat, Stefania Fresca, 2021, ArXiv.

Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models pdf

Andrea Manzoni, Stefania Fresca, A. Manzoni, 2021, Fluids.

Fast active thermal cloaking through PDE-constrained optimization and reduced-order modelling

Francesco Braghin, Andrea Manzoni, Carlo Sinigaglia, 2021, Proceedings of the Royal Society A.

An Autoencoder-Based Deep Learning Approach for Load Identification in Structural Dynamics

Alberto Corigliano, Stefano Mariani, Luca Rosafalco, 2021, Sensors.

Non intrusive reduced order modeling of parametrized PDEs by kernel POD and neural networks

Andrea Manzoni, Luca Dede', Matteo Salvador, 2021, Comput. Math. Appl..

Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities pdf

Jan S. Hesthaven, Mengwu Guo, Andrea Manzoni, 2021, Computer Methods in Applied Mechanics and Engineering.

A Deep Learning approach to Reduced Order Modelling of Parameter Dependent Partial Differential Equations pdf

Andrea Manzoni, Paolo Zunino, Nicola R. Franco, 2021, ArXiv.

Online structural health monitoring by model order reduction and deep learning algorithms pdf

Alberto Corigliano, Stefano Mariani, Luca Rosafalco, 2021, ArXiv.

POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition pdf

Andrea Manzoni, Stefania Fresca, A. Manzoni, 2021, Computer Methods in Applied Mechanics and Engineering.

Combined Model Order Reduction Techniques and Artificial Neural Network for Data Assimilation and Damage Detection in Structures

Alberto Corigliano, Stefano Mariani, Luca Rosafalco, 2021, Intelligent Systems, Control and Automation: Science and Engineering.

An algebraic least squares reduced basis method for the solution of parametrized Stokes equations

Alfio Quarteroni, Andrea Manzoni, Simone Deparis, 2017 .

A Reduced Basis Ensemble Kalman Filter for State/parameter Identification in Large-scale Nonlinear Dynamical Systems

Alfio Quarteroni, Andrea Manzoni, Stefano Pagani, 2016 .

Reduced Basis Approximation for Shape Optimization in Thermal Flows with a Parametrized Polynomial Geometric Map

Gianluigi Rozza, Andrea Manzoni, Toni Lassila, 2010 .

Supremizer stabilization of POD-Galerkin approximation of parametrized Navier-Stokes equations

Gianluigi Rozza, Alfio Quarteroni, Andrea Manzoni, 2015 .

Generalized Reduced Basis Methods and n-Width Estimates for the Approximation of the Solution Manifold of Parametric PDEs

Gianluigi Rozza, Alfio Quarteroni, Andrea Manzoni, 2013 .

An online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problems

Alfio Quarteroni, Yvon Maday, Andrea Manzoni, 2016 .

Certified reduced basis approximation for parametrized partial differential equations and applications

Gianluigi Rozza, Alfio Quarteroni, Andrea Manzoni, 2011 .

A matrix DEIM technique for model reduction of nonlinear parametrized problems in cardiac mechanics

Alfio Quarteroni, Andrea Manzoni, A. Quarteroni, 2017 .

Model Order Reduction in Fluid Dynamics: Challenges and Perspectives

Gianluigi Rozza, Alfio Quarteroni, Andrea Manzoni, 2014 .

Supremizer stabilization of POD–Galerkin approximation of parametrized steady incompressible Navier–Stokes equations

Gianluigi Rozza, Alfio Quarteroni, Andrea Manzoni, 2015 .

Partial differential equations/Numerical analysisAn online intrinsic stabilization strategy for the reduced basis approximation of parametrized advection-dominated problemsUne stratégie intrinsèque de stabilisation en ligne pour l'approximation bases réduites de problèmes paramètrés avec transport d

Alfio Quarteroni, Yvon Maday, Andrea Manzoni, 2016 .

A matrix discrete empirical interpolation method for the e ffi cient model reduction of parametrized nonlinear PDEs : application to nonlinear elasticity problems ⇤

Alfio Quarteroni, Andrea Manzoni, A. Quarteroni, 2016 .

An efficient computational framework for reduced basis approximation and a posteriori error estimation of parametrized Navier–Stokes flows

Andrea Manzoni, A. Manzoni, 2014 .

Reduced basis approximation and a posteriori error estimates for parametrized elliptic eigenvalue problems

Nicola Parolini, Andrea Manzoni, Marco Verani, 2016 .

Computational Reduction for Parametrized PDEs: Strategies and Applications

Gianluigi Rozza, Alfio Quarteroni, Andrea Manzoni, 2012 .

A numerical investigation of multi space reduced basis preconditioners for parametrized elliptic advection-diffusion equations

Andrea Manzoni, Simone Deparis, Niccolò Dal Santo, 2017 .

Automatic reduction of PDEs defined on domains with variable shape

Andrea Manzoni, Federico Negri, A. Manzoni, 2016 .