Claudio Canuto

45 papers Journal 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analysis of the weighted shifted boundary method for the Poisson and Stokes problems. Comput. Math. Appl. Nabil M. Atallah, Claudio Canuto, Guglielmo Scovazzi
2024	J	`jnl`	Adaptive Finite Element Methods. CoRR Andrea Bonito, Claudio Canuto, Ricardo H. Nochetto, Andreas Veeser
2024	J	`jnl`	Adaptive finite element methods. Acta Numer. Andrea Bonito, Claudio Canuto, Ricardo H. Nochetto, Andreas Veeser
2023	J	`jnl`	A posteriori error analysis and adaptivity for a VEM discretization of the Navier-Stokes equations. Adv. Comput. Math. Claudio Canuto, Davide Rosso
2023	J	`jnl`	Adaptive VEM for variable data: convergence and optimality. CoRR L. Beirão da Veiga, Claudio Canuto, Ricardo H. Nochetto, Giuseppe Vacca, Marco Verani
2023	J	`jnl`	Adaptive VEM: Stabilization-Free A Posteriori Error Analysis and Contraction Property. SIAM J. Numer. Anal. L. Beirão da Veiga, Claudio Canuto, Ricardo H. Nochetto, Giuseppe Vacca, Marco Verani
2023	J	`jnl`	Higher-order adaptive virtual element methods with contraction properties. CoRR Claudio Canuto, Davide Fassino
2023	J	`jnl`	New Feedback Control and Adaptive Evolve-Filter-Relax Regularization for the Navier-Stokes Equations in the Convection-Dominated Regime. CoRR Maria Strazzullo, Francesco Ballarin, Traian Iliescu, Claudio Canuto
2023	J	`jnl`	Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes. CoRR Cheng-Hau Yang, Kumar Saurabh, Guglielmo Scovazzi, Claudio Canuto, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2023	J	`jnl`	Weighted reduced order methods for uncertainty quantification in computational fluid dynamics. CoRR Julien Genovese, Francesco Ballarin, Gianluigi Rozza, Claudio Canuto
2022	J	`jnl`	A posteriori error analysis and adaptivity for a VEM discretization of the Navier-Stokes equations. CoRR Claudio Canuto, Davide Rosso
2022	J	`jnl`	Enforcing Dirichlet boundary conditions in physics-informed neural networks and variational physics-informed neural networks. CoRR Stefano Berrone, Claudio Canuto, Moreno Pintore, N. Sukumar
2022	J	`jnl`	Solving PDEs by Variational Physics-Informed Neural Networks: an a posteriori error analysis. CoRR Stefano Berrone, Claudio Canuto, Moreno Pintore
2022	J	`jnl`	Variational Physics Informed Neural Networks: the Role of Quadratures and Test Functions. J. Sci. Comput. Stefano Berrone, Claudio Canuto, Moreno Pintore
2021	J	`jnl`	Adaptive VEM: Stabilization-Free A Posteriori Error Analysis. CoRR L. Beirão da Veiga, Claudio Canuto, Ricardo H. Nochetto, Giuseppe Vacca, Marco Verani
2021	J	`jnl`	Analysis of the shifted boundary method for the Poisson problem in domains with corners. Math. Comput. Nabil M. Atallah, Claudio Canuto, Guglielmo Scovazzi
2021	J	`jnl`	Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method. Adv. Comput. Math. Moreno Pintore, Federico Pichi, Martin W. Hess, Gianluigi Rozza, Claudio Canuto
2021	J	`jnl`	Variational Physics Informed Neural Networks: the role of quadratures and test functions. CoRR Stefano Berrone, Claudio Canuto, Moreno Pintore
2020	J	`jnl`	Analysis of the Shifted Boundary Method for the Poisson Problem in General Domains. CoRR Nabil M. Atallah, Claudio Canuto, Guglielmo Scovazzi
2020	J	`jnl`	Equilibrium analysis of an immersed rigid leaflet by the virtual element method. CoRR L. Beirão da Veiga, Claudio Canuto, Ricardo H. Nochetto, Giuseppe Vacca
2020	J	`jnl`	The Second-Generation Shifted Boundary Method and Its Numerical Analysis. CoRR Nabil M. Atallah, Claudio Canuto, Guglielmo Scovazzi
2019	J	`jnl`	A multi-timestep Robin-Robin domain decomposition method for time dependent advection-diffusion problems. Appl. Math. Comput. Claudio Canuto, Andrea Lo Giudice
2019	J	`jnl`	Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method. CoRR Moreno Pintore, Federico Pichi, Martin W. Hess, Gianluigi Rozza, Claudio Canuto
2019	J	`jnl`	Uncertainty quantification of discontinuous outputs via a non-intrusive bifidelity strategy. J. Comput. Phys. Claudio Canuto, Sandra Pieraccini, Dongbin Xiu
2017	J	`jnl`	Convergence and optimality of \({\mathbf {hp}}\) -AFEM. Numerische Mathematik Claudio Canuto, Ricardo H. Nochetto, Rob Stevenson, Marco Verani
2017	J	`jnl`	On p-robust saturation for hp-AFEM. Comput. Math. Appl. Claudio Canuto, Ricardo H. Nochetto, Rob Stevenson, Marco Verani
2016	J	`jnl`	A Hybrid Model for the Computationally-Efficient Simulation of the Cerebellar Granular Layer. Frontiers Comput. Neurosci. Anna Cattani, Sergio Solinas, Claudio Canuto
2016	J	`jnl`	Adaptive Spectral Galerkin Methods with Dynamic Marking. SIAM J. Numer. Anal. Claudio Canuto, Ricardo H. Nochetto, Rob Stevenson, Marco Verani
2015	J	`jnl`	Contraction and Optimality Properties of an Adaptive Legendre-Galerkin Method: The Multi-Dimensional Case. J. Sci. Comput. Claudio Canuto, Valeria Simoncini, Marco Verani
2015	J	`jnl`	Nested dyadic grids associated with Legendre-Gauss-Lobatto grids. Numerische Mathematik Kolja Brix, Claudio Canuto, Wolfgang Dahmen
2015	J	`jnl`	Uncertainty quantification in Discrete Fracture Network models: Stochastic fracture transmissivity. Comput. Math. Appl. Stefano Berrone, Claudio Canuto, Sandra Pieraccini, Stefano Scialò
2014	J	`jnl`	Adaptive Fourier-Galerkin methods. Math. Comput. Claudio Canuto, Ricardo H. Nochetto, Marco Verani
2014	J	`jnl`	Contraction and optimality properties of adaptive Legendre-Galerkin methods: The one-dimensional case. Comput. Math. Appl. Claudio Canuto, Ricardo H. Nochetto, Marco Verani
2014	J	`jnl`	The derivation of continuum limits of neuronal networks with gap-junction couplings. Networks Heterog. Media Claudio Canuto, Anna Cattani
2012	J	`jnl`	An Eulerian Approach to the Analysis of Krause's Consensus Models. SIAM J. Control. Optim. Claudio Canuto, Fabio Fagnani, Paolo Tilli
2010	J	`jnl`	Finite-Element Preconditioning of G-NI Spectral Methods. SIAM J. Sci. Comput. Claudio Canuto, Paola Gervasio, Alfio Quarteroni
2009	J	`jnl`	A Posteriori Error Analysis of the Reduced Basis Method for Nonaffine Parametrized Nonlinear PDEs. SIAM J. Numer. Anal. Claudio Canuto, Timo Tonn, Karsten Urban
2007	J	`jnl`	A fictitious domain approach to the numerical solution of PDEs in stochastic domains. Numerische Mathematik Claudio Canuto, Tomás Kozubek
2006	J	`jnl`	Enhanced Coercivity for Pure Advection and Advection-Diffusion Problems. J. Sci. Comput. Claudio Canuto
2005	J	`jnl`	Adaptive Optimization of Convex Functionals in Banach Spaces. SIAM J. Numer. Anal. Claudio Canuto, Karsten Urban
2001	J	`jnl`	An anisotropic functional setting for convection-diffusion problems. J. Num. Math. Claudio Canuto, Anita Tabacco
2001	J	`jnl`	Multilevel Stabilization of Convection-Diffusion Problems by Variable-Order Inner Products. Computing Claudio Canuto
2001	J	`jnl`	Stabilized wavelet approximations of the Stokes problem. Math. Comput. Claudio Canuto, Roland Masson
2000	J	`jnl`	Negative norm stabilization of convection-diffusion problems. Appl. Math. Lett. Silvia Bertoluzza, Claudio Canuto, Anita Tabacco
2000	J	`jnl`	Stable Discretizations of Convection-Diffusion Problems via Computable Negative-Order Inner Products. SIAM J. Numer. Anal. Silvia Bertoluzza, Claudio Canuto, Anita Tabacco