Mathematics, Artificial Intelligence, Machine Learning, Deep Learning, AI.
Mathematical Exposition Randomized algorithms serve as a cornerstone for the spectral analysis of high-dimensional operators, particularly in the context of PDEs where direct computation is infeasible. These algorithms harness randomness to efficiently approximate eigenvalues and eigenvectors,