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20082025
most citedExploiting deep residual networks for human action recognition from skeletal data

85 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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4 papers · 1 filter

math.NA2017★ 1 cited

Kinetic entropy for the layer-averaged hydrostatic Navier-Stokes equations

Emmanuel Audusse, Marie-Odile Bristeau, Jacques Sainte-Marie +1

We are interested in the numerical approximation of the hydrostatic free surface incompressible Navier-Stokes equations. By using a layer-averaged version of the equations, we are…

math.NA2017

Numerical approximation of the 3d hydrostatic Navier-Stokes system with free surface

S. Allgeyer, Marie-Odile Bristeau, D. Froger +5

In this paper we propose a stable and robust strategy to approximate the 3d incompressible hydrostatic Euler and Navier-Stokes systems with free surface. Compared to shallow water…

math.NA2015★ 5 cited

A robust and stable numerical scheme for a depth-averaged Euler system

N. Aissiouene, M. -O. Bristeau, E. Godlewski +1

We propose an efficient numerical scheme for the resolution of a non-hydrostatic Saint-Venant type model. The model is a shallow water type approximation of the incompressbile Eule…

math.NA2014

An energy-consistent depth-averaged Euler system: derivation and properties

Marie-Odile Bristeau, Anne Mangeney, Jacques Sainte-Marie +1

In this paper, we present an original derivation process of a non-hydrostatic shallow water-type model which aims at approximating the incompressible Euler and Navier-Stokes system…