It appears that matlab's
eigs is giving me bad approximations of the smallest eigenvectors of a matrix.
I assume I can use some slower methods which would also be more accurate...
I am looking to find the 2nd smallest eigenvector of a lapalcian matrix (known as the "fiedler" vector). I know of course that the smallest eigenvector of a laplacian matrix is the constant vector.
Any suggestions for a more accurate method?
P.S In all the above, when I say "smallest eigenvector" I mean the eigenvector associated with the eigenvalue of smallest magnitude.