3 papers
cs.PF2026
Randomized Sketching is Robust to Low-Precision Rounding on GPUs
Aryaman Jeendgar, Clément Flint, Hartwig Anzt
Randomized sketching is a core primitive in randomized numerical linear algebra. On modern hardware architectures, in particular on GPUs, the performance of sparse sketches is limi…
math.OC2026
CVXPY 1.9: Recent Advances in Optimization Modeling Software
William Zhang, Parth Nobel, Aryaman Jeendgar +3
CVXPY is a Python-embedded domain-specific language for convex optimization that lets users express problems in mathematical notation while the system verifies convexity and reduce…
math.NA2025
Preconditioning via Randomized Range Deflation (RandRAND)
Oleg Balabanov, Caleb Ju, Kaiwen He +2
We introduce RandRAND, a new class of randomized preconditioning methods for large-scale linear systems. RandRAND deflates the spectrum via efficient orthogonal projections onto ra…