7 papers
Non-negative Einstein tensor factorization for unmixing hyperspectral images
Anas El Hachimi, Khalide Jbilou, Ahmed Ratnani
In this manuscript, we introduce a tensor-based approach to Non-Negative Tensor Factorization (NTF). The method entails tensor dimension reduction through the utilization of the Ei…
New preconditioner strategy for solving block four-by-four linear systems: An application to the saddle-point problem from 3D Stokes equation
Achraf Badahmane, Ahmed Ratnani, Hassane Sadok
We have presented a fast method for solving a specific type of block four-by-four saddlepoint problem arising from the finite element discretization of the generalized 3D Stokes pr…
Trace Ratio Based Manifold Learning with Tensor Data
Mohammed Bouallala, Franck Dufrenois, khalide jbilou +1
In this paper, we propose an extension of trace ratio based Manifold learning methods to deal with multidimensional data sets. Based on recent progress on the tensor-tensor product…
Eigenvalues Distributions and Control Theory
N. Lamsahel, A. El Akri, A. Ratnani
This work deals with the isogeometric Galerkin discretization of the eigenvalue problem related to the Laplace operator subject to homogeneous Dirichlet boundary conditions on boun…
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…
Auxiliary Splines Space Preconditioning for B-Splines Finite Elements: The case of and elliptic problems
Abdeladim El Akri, Khalide Jbilou, Ahmed Ratnani
This paper presents a study of large linear systems resulting from the regular -splines finite element discretization of the and elliptic p…