Mathematics of Computation, Vol. 87, No. 309 (January 2018), pp. 237-259 (23 pages) Abstract This paper is concerned with computations of a few smallest eigenvalues (in absolute value) of a large ...

Two methods are presented for efficiently computing the eigenvalues of the finite-difference Laplacian. One method embeds the region considered in a rectangle. The other method is applicable when the ...

But computing eigenvalues and eigenvectors directly is extremely difficult. However, it's possible to compute eigenvalues and eigenvectors indirectly using singular value decomposition (SVD).

Eigensensitivity analysis addresses how the spectral properties of damped systems—specifically, the eigenvalues and eigenvectors—respond to variations in system parameters. This analytical approach is ...