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/215913/15034155
txt system_eigenvalue.txt
% Generated By ERA Toolbox for Matlab ,By Chen yi, Chong Qing UnivercityBy Chen yi, Chong Qing Univercity
% Jan.,24th,2004
% Chen_yi2000@sina.com
09-Feb-2004
Order Eigenvalue(Re.)
www.eeworm.com/read/389274/8537771
m example75_eigenvalue.m
%%%example75_eigenvalue
b0(:,1)=reshape(double(rgb2gray(img1)),32*32,1);
b0(:,2)=reshape(double(rgb2gray(img2)),32*32,1);
%caculate the eigenvalues and the eigenvectors of the cov matrix
b=(b0(:,1
www.eeworm.com/read/432932/8562531
m eigenvalue_cond_number.m
% eigenvalue_cond_number.m
% 求关于特征值的条件数
disp('矩阵的特征值条件数：')
A=magic(8)
cond_equ=cond(A)
cond_eigs=condeig(A)
disp('矩阵的特征值、特征向量、特征条件数：')
B=randn(4)
[V,D,s]=condeig(B)
www.eeworm.com/read/432932/8562584
m eigenvalue_vector_sparse.m
% eigenvalue_vector_sparse.m
% 稀疏矩阵的特征值和特征向量
% A=delsq(numgrid('C',30))得到一对称正定阵，维度是632维
% 特征值分布在区间(0,8)之间，特征值4出现了18次
A=delsq(numgrid('C',30));
d=eig(full(A));
[dum,ind] = sort(abs(d));
dlm=e
www.eeworm.com/read/432932/8562628
asv eigenvalue_vector_sparse.asv
% eigenvalue_vector_sparse.m
% 稀疏矩阵的特征值和特征向量
www.eeworm.com/read/432932/8562652
asv eigenvalue_cond_number.asv
% eigenvalue_cond_number.m
% 求关于特征值的条件数
disp('矩阵的特征值条件数：')
A=pascal(8)
cond_equ=cond(A)
cond_eigs=condeig(A)
disp('矩阵的特征值条件数：')
www.eeworm.com/read/397761/8024051
m example75_eigenvalue.m
%%%example75_eigenvalue
b0(:,1)=reshape(double(rgb2gray(img1)),32*32,1);
b0(:,2)=reshape(double(rgb2gray(img2)),32*32,1);
%caculate the eigenvalues and the eigenvectors of the cov matrix
b=(b0(:,1
www.eeworm.com/read/492695/6419644
m example75_eigenvalue.m
%%%example75_eigenvalue
b0(:,1)=reshape(double(rgb2gray(img1)),32*32,1);
b0(:,2)=reshape(double(rgb2gray(img2)),32*32,1);
%caculate the eigenvalues and the eigenvectors of the cov matrix
b=(b0(:,1
www.eeworm.com/read/484889/6575904
m eigenvalue_cond_number.m
% eigenvalue_cond_number.m
% 求关于特征值的条件数
disp('矩阵的特征值条件数：')
A=magic(8)
cond_equ=cond(A)
cond_eigs=condeig(A)
disp('矩阵的特征值、特征向量、特征条件数：')
B=randn(4)
[V,D,s]=condeig(B)
www.eeworm.com/read/484889/6575912
m eigenvalue_vector_sparse.m
% eigenvalue_vector_sparse.m
% 稀疏矩阵的特征值和特征向量
% A=delsq(numgrid('C',30))得到一对称正定阵，维度是632维
% 特征值分布在区间(0,8)之间，特征值4出现了18次
A=delsq(numgrid('C',30));
d=eig(full(A));
[dum,ind] = sort(abs(d));
dlm=e