代码搜索：eigenvalue
找到约 684 项符合「eigenvalue」的源代码
代码结果 684
www.eeworm.com/read/145388/7125269
m ex3bvp.m
function ex3bvp
%EX3BVP Example 3 of the BVP tutorial.
% This is the example for D02KAF from the NAG library. D02KAF is a code
% for Sturm-Liouville problems that takes advantage of special f
www.eeworm.com/read/449504/7503092
m c_sja.m
function jc = c_sja(n,p)
% PURPOSE: find critical values for Johansen maximum eigenvalue statistic
% ------------------------------------------------------------
% USAGE: jc = c_sja(n,p)
% where:
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m eigen_sib.m
% The name of the M-file is:eigen_sib.m
% This M-file creates a figure window and plots the absolute value of magnitudes of
% right eigenvectors of the system matrix(Asys) and Jacobian matrix of th
www.eeworm.com/read/439841/7700935
m maxeig.m
%MAXEIG Maximum eigenvalue and the corresponding eigenvector.
% [L, Q] = MAXEIG(A) returns the maximum eigenvalue L and the
% corresponding eigenvector Q of the square matrix A. Maximum is
% in the s
www.eeworm.com/read/198947/7902962
m mineig.m
%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 s
www.eeworm.com/read/198947/7902993
m maxeig.m
%MAXEIG Maximum eigenvalue and the corresponding eigenvector.
% [L, Q] = MAXEIG(A) returns the maximum eigenvalue L and the
% corresponding eigenvector Q of the square matrix A. Maximum is
% in the s
www.eeworm.com/read/198947/7903003
m minisi.m
%MINISI minimum-ISI TEQ design.
% [W, D, Dv] = MINISI(Sx, Sn, Sh, H, N, Nb, Nw, Dmin, Dmax, M)
% returns the time domain equalizer in W and the delay in D.
% Dv is a vector containing the remaining IS
www.eeworm.com/read/140700/13065948
txt alg092.txt
> restart;
> # SYMMETRIC POWER METHOD ALGORITHM 9.2
> #
> # To approximate the dominant eigenvalue and an associated
> # eigenvector of the n by n symmetric matrix A given a nonzero vector x:
> #
www.eeworm.com/read/140700/13066248
txt alg092.txt
> restart;
> # SYMMETRIC POWER METHOD ALGORITHM 9.2
> #
> # To approximate the dominant eigenvalue and an associated
> # eigenvector of the n by n symmetric matrix A given a nonzero vector x:
> #
www.eeworm.com/read/215700/15052737
m maxeig.m
%MAXEIG Maximum eigenvalue and the corresponding eigenvector.
% [L, Q] = MAXEIG(A) returns the maximum eigenvalue L and the
% corresponding eigenvector Q of the square matrix A. Maximum is
% in the s