activity
20182021
most citedThe Fast and Free Memory Method for the efficient computation of convolution kernels

1 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

math.NA2021

Computing weakly singular and near-singular integrals over curved boundary elements

Hadrien Montanelli, Matthieu Aussal, Houssem Haddar

We present algorithms for computing weakly singular and near-singular integrals arising when solving the 3D Helmholtz equation with curved boundary elements. These are based on the…

cond-mat.soft2021★ 1 cited

Shapes enhancing the propulsion of multiflagellated helical microswimmers

Luca Berti, Mickaël Binois, François Alouges +3

In this paper we are interested in optimizing the shape of multi-flagellated helical microswimmers. Mimicking the propagation of helical waves along the flagella, they self-propel…

math.NA2019★ 1 cited

The Fast and Free Memory Method for the efficient computation of convolution kernels

Matthieu Aussal, Marc Bakry

We introduce the Fast Free Memory method (FFM), a new fast method for the numerical evaluation of convolution products. Inheriting from the Fast Multipole Method, the FFM is a desc…

eess.AS2018★ 1 cited

Open-source platforms for fast room acoustic simulations in complex structures

Matthieu Aussal, Robin Gueguen

This article presents new numerical simulation tools, respectively developed in Matlab and Blender softwares. Available in open-source under the GPL 3.0 license, it uses a ray-trac…

math.NA2018

FEM and BEM simulations with the Gypsilab framework

Francois Alouges, Matthieu Aussal

Gypsilab is a Matlab framework which aims at simplifying the development of numerical methods that apply to the resolution of problems in multiphysics, in particular, those involvi…