9 papers · 1 filter
Low-Precision Rank Compensation for Matrices and Tensor Trains
Ibrahim El Mountasser, Khalide Jbilou
Lower numerical precision reduces storage and memory traffic but raises the perturbation floor. We study rank compensation: reinvesting saved memory in a larger approximation rank.…
A survey of scalar and vector extrapolation
Khalide Jbilou
Scalar extrapolation and convergence acceleration methods are central tools in numerical analysis for improving the efficiency of iterative algorithms and the summation of slowly c…
A Unified Trace-Optimization Framework for Multidimensionality Reduction
Mohamed El Guide, Alaa El Ichi, Khalide Jbilou +2
This paper presents a comprehensive overview of several multidimensional reduction methods focusing on Multidimensional Principal Component Analysis (MPCA), Multilinear Orthogonal…
Efficient Krylov-Regularization Solvers for Multiquadric RBF Discretizations of the 3D Helmholtz Equation
Mohamed El Guide, Khalide Jbilou, Kamal Lachhab +1
Meshless collocation with multiquadric radial basis functions (MQ-RBFs) delivers high accuracy for the three-dimensional Helmholtz equation but produces dense, severely ill-conditi…
Low-Rank Regularized Convex-Non-Convex Problems for Image Segmentation or Completion
Mohamed El Guide, Anas El Hachimi, Khalide Jbilou +1
This work proposes a novel convex-non-convex formulation of the image segmentation and the image completion problems. The proposed approach is based on the minimization of a functi…
Efficient Computation of Dominant Eigenvalues Using Adaptive Block Lanczos with Chebyshev Filtering
M. El Guide, K. Jbilou, K. Lachhab
We present an efficient method for computing dominant eigenvalues of large, nonsymmetric, diagonalizable matrices based on an adaptive block Lanczos algorithm combined with Chebysh…
Online multidimensional dictionary learning
Ferdaous Ait Addi, Abdeslem Hafid Bentbib, Khalide Jbilou
Dictionary learning is a widely used technique in signal processing and machine learning that aims to represent data as a linear combination of a few elements from an overcomplete…
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…