output
20182026
most citedA Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges

355 citations

Showing math.NAShow all

10 papers · 1 filter

math.NA2025★ 2 cited

A finite element method using a bounded auxiliary variable for solving the Richards equation

Abderrahmane Benfanich, Yves Bourgault, Abdelaziz Beljadid

The Richards equation, a nonlinear elliptic parabolic equation, is widely used to model infiltration in porous media. We develop a finite element method for solving the Richards eq…

math.NA2025★ 1 cited

Outlier-free isogeometric discretizations for Laplace eigenvalue problems: closed-form eigenvalue and eigenvector expressions

Noureddine Lamsahel, Carla Manni, Ahmed Ratnani +2

We derive explicit closed-form expressions for the eigenvalues and eigenvectors of the matrices resulting from isogeometric Galerkin discretizations based on outlier-free spline su…

math.NA2025

Enhancing multigrid solvers for isogeometric analysis of nonlinear problems using polynomial extrapolation techniques

Abdellatif Mouhssine, Ahmed Ratnani, Hassane Sadok

When used to accelerate the convergence of fixed-point iterative methods, such as the Picard method, which is a kind of nonlinear fixed-point iteration, polynomial extrapolation te…

math.NA2024★ 1 cited

Quaternion tensor low rank Quaternion tensor low-rank approximation using a family of non-convex norms

Alaeddine Zahir, Ahmed Ratnani, Khalide Jbilou

In this paper, we propose a new approaches for low rank approximation of quaternion tensors \cite{chen2019low,zhang1997quaternions,hamilton1866elements}. The first method uses quas…

math.NA2023★ 8 cited

A highly efficient finite volume method with a diffusion control parameter for hyperbolic problems

Wassim Aboussi, Moussa Ziggaf, Imad Kissami +1

This article proposes a highly accurate and conservative method for hyperbolic systems using the finite volume approach. This innovative scheme constructs the intermediate states a…

math.NA2023

Tensor Golub Kahan based on Einstein product

Anas El Hachimi, Khalide Jbilou, Mustapha Hached +1

The Singular Value Decomposition (SVD) of matrices is a widely used tool in scientific computing. In many applications of machine learning, data analysis, signal and image processi…