Matlab中求解矩阵特征值的算法

Matlab中矩阵特征值算法,,，怎样打开其封装的函数文件

open eig

%EIG Eigenvalues and eigenvectors.
% E = EIG(X) is a vector containing the eigenvalues of a square
% matrix X.
%
% [V,D] = EIG(X) produces a diagonal matrix D of eigenvalues and a
% full matrix V whose columns are the corresponding eigenvectors so
% that X*V = V*D.
%
% [V,D] = EIG(X,'nobalance') performs the computation with balancing
% disabled, which sometimes gives more accurate results for certain
% problems with unusual scaling. If X is symmetric, EIG(X,'nobalance')
% is ignored since X is already balanced.
%
% E = EIG(A,B) is a vector containing the generalized eigenvalues
% of square matrices A and B.
%
% [V,D] = EIG(A,B) produces a diagonal matrix D of generalized
% eigenvalues and a full matrix V whose columns are the
% corresponding eigenvectors so that A*V = B*V*D.
%
% EIG(A,B,'chol') is the same as EIG(A,B) for symmetric A and symmetric
% positive definite B. It computes the generalized eigenvalues of A and B
% using the Cholesky factorization of B.
% EIG(A,B,'qz') ignores the symmetry of A and B and uses the QZ algorithm.
% In general, the two algorithms return the same result, however using the
% QZ algorithm may be more stable for certain problems.
% The flag is ignored when A and B are not symmetric.
%
% See also CONDEIG, EIGS, ORDEIG.

% Copyright 1984-2005 The MathWorks, Inc.
% $Revision: 5.13.4.6 $ $Date: 2005/06/21 19:35:51 $
% Built-in function.

在eig命令页面的最下方reference中有如下关于算法介绍的链接： http://www.netlib.org/lapack/lug/lapack_lug.html 里面就有关于对称(Symmetric Eigenproblems)与非对称(Nonsymmetric Eigenproblems)类型的特征值计算算法