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math.NA2026
Randomized Tensor Krylov Subspace Methods via Sketched Einstein Product with Applications to Image and Video Restoration
Achraf Badahmane
We develop a randomized extension of tensor Krylov subspace methods based on the Einstein product for solving large-scale multilinear systems arising in image and video restoration…
math.NA2025
A new class of regularized preconditioners for double saddle-point problems
Achraf Badahmane
The block structure of double saddle-point problems has prompted extensive research into efficient preconditioners. This paper introduces a novel class of three-by-three block prec…
math.NA2024
Novel Approach for solving the discrete Stokes problems based on Augmented Lagrangian and Global Techniques: Application to Saddle-Point Linear Systems from Incompressible flow
A. Badahmane, A. Ratnani, H. Sadok
In this paper, a novel augmented Lagrangian preconditioner based on global Arnoldi for accelerating the convergence of Krylov subspace methods applied to linear systems of equation…