📄 mineig.m
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%MINEIG Minimum eigenvalue and the corresponding eigenvector.% [L, Q] = MINEIG(A) returns the minimum eigenvalue L and the% corresponding eigenvector Q of the square matrix A. Minimum is % in the sense of absolute value if complex eigenvalues exist.%% [L, Q] = MINEIG(A, B) returns the minimum generalized eigenvalue% L and the corresponding generalized eigenvector Q of the square% matrix A. Minimum is in the sense of absolute value if complex % eigenvalues exist.% Copyright (c) 1999-2002 The University of Texas% All Rights Reserved.% % This program is free software; you can redistribute it and/or modify% it under the terms of the GNU General Public License as published by% the Free Software Foundation; either version 2 of the License, or% (at your option) any later version.% % This program is distributed in the hope that it will be useful,% but WITHOUT ANY WARRANTY; without even the implied warranty of% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the% GNU General Public License for more details.% % The GNU Public License is available in the file LICENSE, or you% can write to the Free Software Foundation, Inc., 59 Temple Place -% Suite 330, Boston, MA 02111-1307, USA, or you can find it on the% World Wide Web at http://www.fsf.org.% % Programmers: Guner Arslan% Version: @(#)mineig.m 1.4 07/26/00% % The authors are with the Department of Electrical and Computer% Engineering, The University of Texas at Austin, Austin, TX.% They can be reached at arslan@ece.utexas.edu.% Guner Arslan is also with the Embedded Signal Processing% Laboratory in the Dept. of ECE., http://anchovy.ece.utexas.edu.function [l, q]=mineig(varargin);if nargin==2 % if two matrixes are given % generalized EVD [v, d]=eig(varargin{1},varargin{2}); elseif nargin==1 % if one matrix is given % normal EVD [v, d]=eig(varargin{1}); end% find the minimum eigenvalue and the index to it[l, ind]=min(abs(diag(d))); % this is the corresponding eigenvectorq = real(v(:,ind));
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