Marco Verani
Polytechnic University of Milan
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Publication
Featured researches published by Marco Verani.
SIAM Journal on Numerical Analysis | 2014
Paola F. Antonietti; L. Beira͂o da Veiga; David Mora; Marco Verani
In this paper we propose and analyze a novel stream formulation of the virtual element method (VEM) for the solution of the Stokes problem. The new formulation hinges upon the introduction of a suitable stream function space (characterizing the divergence free subspace of discrete velocities) and it is equivalent to the velocity-pressure (inf-sup stable) mimetic scheme presented in [L. Beirao da Veiga et al., J. Comput. Phys., 228 (2009), pp. 7215--7232] (up to a suitable reformulation into the VEM framework). Both schemes are thus stable and linearly convergent but the new method results to be more desirable as it employs much less degrees of freedom and it is based on a positive definite algebraic problem. Several numerical experiments assess the convergence properties of the new method and show its computational advantages with respect to the mimetic one.
SIAM Journal on Numerical Analysis | 2016
Paola F. Antonietti; L. Beira͂o da Veiga; S. Scacchi; Marco Verani
In this paper we develop an evolution of the
SIAM Journal on Numerical Analysis | 2013
Paola F. Antonietti; Lourenco Beira͂o da Veiga; C. Lovadina; Marco Verani
C^1
Mathematics of Computation | 2013
Paola F. Antonietti; Lourenço Beirão da Veiga; Marco Verani
virtual elements of minimal degree for the approximation of the Cahn--Hilliard equation. The proposed method has the advantage of being conforming in
Journal of Scientific Computing | 2013
Paola F. Antonietti; Nadia Bigoni; Marco Verani
H^2
SIAM Journal on Numerical Analysis | 2015
Paola F. Antonietti; Marco Sarti; Marco Verani
and making use of a very simple set of degrees of freedom, namely, 3 degrees of freedom per vertex of the mesh. Moreover, although the present method is new also on triangles, it can make use of general polygonal meshes. As a theoretical and practical support, we prove the convergence of the semidiscrete scheme and investigate the performance of the fully discrete scheme through a set of numerical tests.
Journal of the Royal Society Interface | 2015
Chiara Giverso; Marco Verani; Pasquale Ciarletta
We present an a posteriori error estimate of hierarchical type for the mimetic discretization of elliptic problems. Under a saturation assumption, the global reliability and efficiency of the proposed a posteriori estimator are proved. Several numerical experiments assess the actual performance of the local error indicators in driving adaptive mesh refinement algorithms based on different marking strategies. Finally, we analyze and test an inexpensive variant of the proposed error estimator which drastically reduces the overall computational cost of the adaptive procedures.
Applied Mathematics Letters | 2003
Silvia Bertoluzza; Marco Verani
We develop a Finite Element Method (FEM) which can adopt very general meshes with polygonal elements for the numerical approximation of elliptic obstacle problems. These kinds of methods are also known as mimetic discretization schemes, which stem from the Mimetic Finite Difference (MFD) method. The first-order convergence estimate in a suitable (mesh-dependent) energy norm is established. Numerical experiments confirming the theoretical results are also presented.
Mathematical Models and Methods in Applied Sciences | 2014
Paola F. Antonietti; L. Beirão da Veiga; Nadia Bigoni; Marco Verani
We investigate the performance of the Mimetic Finite Difference (MFD) method for the approximation of a constraint optimal control problem governed by an elliptic operator. Low-order and high-order mimetic discretizations are considered and a priori error estimates are derived, in a suitable discrete norm, for both the control and the state variables. A wide class of numerical experiments performed on a set of examples selected from the literature assesses the robustness of the MFD method and confirms the convergence analysis.
Mathematical Models and Methods in Applied Sciences | 2018
Paola F. Antonietti; Gianmarco Manzini; Marco Verani
We present W-cycle