Two-level Nyström--Schur preconditioner for sparse symmetric positive definite matrices

1 code implementation • 28 Jan 2021 • Hussam Al Daas, Tyrone Rees, Jennifer Scott

Randomized methods are becoming increasingly popular in numerical linear algebra.

Numerical Analysis Numerical Analysis

Low-Rank and Total Variation Regularization and Its Application to Image Recovery

no code implementations • 12 Mar 2020 • Pawan Goyal, Hussam Al Daas, Peter Benner

In this work, we propose a new problem formulation in such a way that we seek to recover an image that is of low-rank and has sparsity in a transformed domain.