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20202026
most citedLow-Rank and Total Variation Regularization and Its Application to Image Recovery

2 citations · 4 across the 20 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

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…

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…

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

Algebraic Multigrid with Overlapping Schwarz Smoothers and Local Spectral Coarse Grids for Least Squares Problems

Ben S. Southworth, Hussam Al Daas, Golo A. Wimmer +1

This paper develops a new algebraic multigrid (AMG) method for sparse least-squares systems of the form motivated by challenging applications in scientific computing where…