Mario RICCHIUTO
Mario Ricchiuto Directeur de Recherches (Université Bordeaux)

Équipe LaBRI : Supports et Algorithmes pour les Applications Numériques hAutes performanceS
Courrier électronique : mario.ricchiutoarobaselabri.fr
Bureau : INRIA
Tél : +33 (0)5 40 00


Extrait de publications


M.E. Hubbard, Mario Ricchiuto, D. Sármány. Space-time residual distribution on moving meshes. Computers and Mathematics with Applications, Elsevier, 2020, ⟨10.1016/j.camwa.2019.09.019⟩. ⟨hal-02310394⟩

Luca Arpaia, Mario Ricchiuto. Well balanced residual distribution for the ALE spherical shallow water equations on moving adaptive meshes. Journal of Computational Physics, Elsevier, 2020, 405, pp.109173. ⟨10.1016/j.jcp.2019.109173⟩. ⟨hal-02422335⟩

Rémi Chassagne, Andrea Gilberto Filippini, Mario Ricchiuto, Philippe Bonneton. Dispersive and dispersive-like bores in channels with sloping banks. Journal of Fluid Mechanics, Cambridge University Press (CUP), 2019, 870, pp.595-616. ⟨10.1017/jfm.2019.287⟩. ⟨hal-02129315⟩

Alina Chertock, Alexander Kurganov, Mario Ricchiuto, Tong Wu. Adaptive Moving Mesh Upwind Scheme for the Two-Species Chemotaxis Model. Computers and Mathematics with Applications, Elsevier, 2019, ⟨10.1016/j.camwa.2019.01.021⟩. ⟨hal-02064581⟩

Leo Nouveau, Mario Ricchiuto, Guglielmo Scovazzi. High-Order Gradients with the Shifted Boundary Method: An Embedded Enriched Mixed Formulation for Elliptic PDEs. Journal of Computational Physics, Elsevier, 2019, pp.108898. ⟨10.1016/j.jcp.2019.108898⟩. ⟨hal-02269007⟩


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