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which are central to understanding the behavior of PDEs in complex domains. Randomized Estimation of Eigenvalues and Eigenvectors The eigenvalues (λk​) and eigenvectors (vk​) of a large d×d matrix A corresponding to the discretized PDE operator can be approximated using a lower-dimensional