From the 1 of 5.5k papers with an AI index.
- Centre National de la Recherche ScientifiqueFR1.7k papers
- Centre Inria de SaclayFR364 papers
- École PolytechniqueFR306 papers
- Laboratoire Lorrain de Recherche en Informatique et ses ApplicationsFR300 papers
- École Normale Supérieure - PSLFR292 papers
- Sorbonne UniversitéFR291 papers
- École Normale Supérieure de LyonFR233 papers
- Centre Inria de l'Université Grenoble AlpesFR216 papers
- Université Paris-SaclayFR208 papers
- Université Grenoble AlpesFR204 papers
- Lyon 1 UniversitéFR191 papers
- Centre Inria d'Université Côte d'AzurFR183 papers
32 papers · 2 filters
Mathematical analysis of a discrete fracture model coupling Darcy flow in the matrix with Darcy-Forchheimer flow in the fracture
Peter Knabner, Jean Roberts
We consider a model for flow in a porous medium with a fracture in which the flow in the fracture is governed by the Darcy-Forchheimer law while that in the surrounding matrix is g…
The DFLU flux for systems of conservation laws
Adi Adimurthi, G. D. Veerappa Gowda, Jérôme Jaffré
The DFLU numerical flux was introduced in order to solve hyperbolic scalar conservation laws with a flux function discontinuous in space. We show how this flux can be used to solve…
Conservative and non-conservative methods based on hermite weighted essentially-non-oscillatory reconstruction for Vlasov equations
Chang Yang, Francis Filbet
We introduce a WENO reconstruction based on Hermite interpolation both for semi-Lagrangian and finite difference methods. This WENO reconstruction technique allows to control spuri…
Numerical Reproducibility and Parallel Computations: Issues for Interval Algorithms
Nathalie Revol, Philippe Théveny
What is called "numerical reproducibility" is the problem of getting the same result when the scientific computation is run several times, either on the same machine or on differen…
A Quadratically Convergent Algorithm for Structured Low-Rank Approximation
Éric Schost, Pierre-Jean Spaenlehauer
Structured Low-Rank Approximation is a problem arising in a wide range of applications in Numerical Analysis and Engineering Sciences. Given an input matrix , the goal is to com…
Linear Convergence on Positively Homogeneous Functions of a Comparison Based Step-Size Adaptive Randomized Search: the (1+1) ES with Generalized One-fifth Success Rule
Anne Auger, Nikolaus Hansen
In the context of unconstraint numerical optimization, this paper investigates the global linear convergence of a simple probabilistic derivative-free optimization algorithm (DFO).…