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RESEARCH & INNOVATION
Research Areas
FUNDED PROJECTS
Reports and books
Education
Computational Science & Computational Learning (CSCL)
Statistical Learning (STAT)
DISSEMINATION
Mox Colloquia
MOX SEMINARS
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Staff details
Alessandra Cancrini
PhD Student (M3E)
Contact Information
Phone:
+39 02 2399
Fax:
+39 02 2399
Email:
Keywords
High Performance Computing
Advanced Numerical Methods for Scientific Computing
Geosciences/Protection of Land and Water Resources
Available MOX Reports
ANTONIETTI, P.F.; BOTTI, M.; CANCRINI, A.; MAZZIERI, I.
A polytopal discontinuous Galerkin method for the pseudo-stress formulation of the unsteady Stokes problem