[piano]

Warning: For real symmetric problems, must
have number of eigenvalues k < n.


function varargout = eigs(varargin)
%EIGS Find a few eigenvalues and eigenvectors of a matrix using ARPACK
% D = EIGS(A) returns a vector of A's 6 largest magnitude eigenvalues.
% A must be square and should be large and sparse.
%
% [V,D] = EIGS(A) returns a diagonal matrix D of A's 6 largest magnitude
% eigenvalues and a matrix V whose columns are the corresponding
% eigenvectors.