Researchers show adaptive randomized algorithms need only O(log log m) to approximate high‑dim vectors, and denoising boosts non‑adaptive schemes. Read more: https://getnews.me/randomized-algorithms-reduce-complexity-in-high-dimensional-vector-approximation/ #randomizedalgorithms #highdimensional

Randomized Krylov-Schur eigensolver with deflation
Jean-Guillaume de Damas, Laura Grigori
Paper
Details
#KrylovSchurEigensolver #RandomizedAlgorithms #NumericalLinearAlgebra