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- Istituto di Fotonica e NanotecnologieIT287 papers
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- Istituto Nazionale di Fisica Nucleare, Sezione di MilanoIT232 papers
- Sapienza University of RomeIT155 papers
- Italian Institute of TechnologyIT125 papers
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26 papers · 2 filters
Anisotropic mesh adaptation for region-based segmentation accounting for image spatial information
Matteo Giacomini, Simona Perotto
A finite element-based image segmentation strategy enhanced by an anisotropic mesh adaptation procedure is presented. The methodology relies on a split Bregman algorithm for the mi…
On mathematical and numerical modelling of multiphysics wave propagation with polytopal Discontinuous Galerkin methods
Paola F. Antonietti, Michele Botti, Ilario Mazzieri
In this work we review discontinuous Galerkin finite element methods on polytopal grids (PolydG) for the numerical simulation of multiphysics wave propagation phenomena in heteroge…
An efficient IMEX-DG solver for the compressible Navier-Stokes equations for non-ideal gases
Giuseppe Orlando, Paolo Francesco Barbante, Luca Bonaventura
We propose an efficient, accurate and robust IMEX solver for the compressible Navier-Stokes equation describing non-ideal gases with general equations of state. The method, which i…
Adaptive VEM: Stabilization-Free A Posteriori Error Analysis and Contraction Property
L. Beirao da Veiga, C. Canuto, R. H. Nochetto +2
In the present paper we initiate the challenging task of building a mathematically sound theory for Adaptive Virtual Element Methods (AVEMs). Among the realm of polygonal meshes, w…
Accelerating Algebraic Multigrid Methods via Artificial Neural Networks
Paola F. Antonietti, Matteo Caldana, Luca Dede'
We present a novel deep learning-based algorithm to accelerate - through the use of Artificial Neural Networks (ANNs) - the convergence of Algebraic Multigrid (AMG) methods for the…
A Machine Learning approach to enhance the SUPG stabilization method for advection-dominated differential problems
Tommaso Tassi, Alberto Zingaro, Luca Dede'
We propose using machine learning and artificial neural networks (ANNs) to enhance residual-based stabilization methods for advection-dominated differential problems. Specifically,…