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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. |
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