4 papers
Multidimensional extrapolated global proximal gradient and applications for image processing
Abdeslem Hafid Bentbib, Khalide Jbilou, Ridwane Tahiri
The proximal gradient method is a generic technique introduced to tackle the non-smoothness in optimization problems, wherein the objective function is expressed as the sum of a di…
Extended block Hessenberg process for the evaluation of matrix functions
A. H. Bentbib, M. EL Ghomari, K. Jbilou +1
In the present paper, we propose a block variant of the extended Hessenberg process for computing approximations of matrix functions and other problems producing large-scale matric…
Einstien-Multidimensional Extrapolation methods
A. H. Bentbib, K. Jbilou, R. Tahiri
In this paper, we present a new framework for the recent multidimensional extrapolation methods: Tensor Global Minimal Polynomial (TG-MPE) and Tensor Global Reduced Rank Extrapolat…
A Rational Krylov Subspace Method for the Computation of the Matrix Exponential Operator
H. Barkouki, A. H. Bentbib, K. Jbilou
The computation of approximating e^tA B, where A is a large sparse matrix and B is a rectangular matrix, serves as a crucial element in numerous scientific and engineering calculat…