collaborators

10 papers

cs.DC2026

Communication Lower Bounds and Algorithms for Sketching with Random Dense Matrices

Hussam Al Daas, Grey Ballard, Laura Grigori +4

Sketching is widely used in randomized linear algebra for low-rank matrix approximation, column subset selection, and many other problems, and it has gained significant traction in…

math.NA2026

Two-level convergence of Algebraic Multigrid with Overlapping Smoothers and Spectral Coarse Grids

O. A. Krzysik, B. S. Southworth, H. Al Daas

We recently developed the least-squares algebraic-multigrid domain-decomposition (LS-AMG-DD) solver as an algebraic multilevel method for sparse symmetric positive definite matrice…

math.NA2026

Efficient Sketching-Based Summation of Tucker Tensors

Rudi Smith, Mirjeta Pasha, Andrés Galindo-Olarte +5

We present efficient, sketching-based methods for the summation of tensors in Tucker format. Leveraging the algebraic structure of Khatri-Rao and Kronecker products, our approach e…

math.NA2026

Extended-Krylov-subspace methods for trust-region and norm-regularization subproblems

Hussam Al Daas, Nicholas I. M. Gould

We consider an effective new method for solving trust-region and norm-regularization problems that arise as subproblems in many optimization applications. We show that the solution…

physics.med-ph2026

Reducing acquisition time and radiation damage: data-driven subsampling for spectro-microscopy

Maike Meier, Lorenzo Lazzarino, Boris Shustin +2

Spectro-microscopy is an experimental technique which can be used to observe spatial variations in chemical state and changes in chemical state over time or under experimental cond…

math.NA2026

Minimal residual rational Krylov subspace method for sequences of shifted linear systems

Hussam Al Daas, Davide Palitta

The solution of sequences of shifted linear systems is a classic problem in numerical linear algebra, and a variety of efficient methods have been proposed over the years. Neverthe…