代码搜索：矩阵分析
找到约 10,000 项符合「矩阵分析」的源代码
代码结果 10,000
www.eeworm.com/read/362220/10011888
m program_14_12.m
% 定义劳伦矩阵
M1 = laurmat(eye(2,2))
Z = laurpoly(1,1);
M2 = laurmat({1 Z;0 1})
% 计算劳伦多项式
P = M1 * M2
d = det(P)
www.eeworm.com/read/165898/10047444
asv polyval_example.asv
%polyval_example.m
%多项式求值
str1='x^2+2x+3';
p1=sym2poly(str1);
A=[1 0;
0 -1];
p1_A=polyval(p1,A) %求多项式值
p1_Am=polyvalm(p1,A) %求矩阵多项式的值
www.eeworm.com/read/165898/10047483
m corrcoef_example.m
%corrcoef_example.m
%计算矩阵的相关系数
x = randn(10000,4); % 4个完全无关随机变量
y(:,1) = x(:,1);
y(:,2) = x(:,2);
y(:,3) = 0.3*x(:,3) + 0.7*x(:,4); %在第3个随机变量和第4个随机变量之间
y(
www.eeworm.com/read/357662/10203487
m 例程14-12.m
% 定义劳伦矩阵
M1 = laurmat(eye(2,2))
Z = laurpoly(1,1);
M2 = laurmat({1 Z;0 1})
% 计算劳伦多项式
P = M1 * M2
d = det(P)
www.eeworm.com/read/354899/10316831
m multout.m
% multout.m
P = [ 0.1 0.5; 0.3 -0.2 ]; % 已知输入矢量数据
S1 = 2; S2 =3; S3 = 5; % 已知各层节点数
[ R, Q ] = size (P); % 求出输入矢量的行和列
[ W1, B1 ] = rands (S1, R); % 给第一隐含层权值赋(-1, 1)之间的随机值
[ W2, B2 ] =
www.eeworm.com/read/160251/10549505
m 例程14-12.m
% 定义劳伦矩阵
M1 = laurmat(eye(2,2))
Z = laurpoly(1,1);
M2 = laurmat({1 Z;0 1})
% 计算劳伦多项式
P = M1 * M2
d = det(P)
www.eeworm.com/read/464490/7157269
m karlman.m
function [S,M]=Karlman(S_forward,M_forward,X,A,Q,C,H)
%卡尔曼滤波
%参数说明
% X--观测数据矢量
% A--状态矩阵
% Q--驱动噪声协方差
% C--观测噪声协方差
% H--观测方程句柄
% S--输出数据矢量
% S_foward
www.eeworm.com/read/462702/7197740
m multout.m
% multout.m
P = [ 0.1 0.5; 0.3 -0.2 ]; % 已知输入矢量数据
S1 = 2; S2 =3; S3 = 5; % 已知各层节点数
[ R, Q ] = size (P); % 求出输入矢量的行和列
[ W1, B1 ] = rands (S1, R); % 给第一隐含层权值赋(-1, 1)之间的随机值
[ W2, B2 ] =
www.eeworm.com/read/327991/7532390
m program_14_12.m
% 定义劳伦矩阵
M1 = laurmat(eye(2,2))
Z = laurpoly(1,1);
M2 = laurmat({1 Z;0 1})
% 计算劳伦多项式
P = M1 * M2
d = det(P)
www.eeworm.com/read/447711/7546280
m program_14_12.m
% 定义劳伦矩阵
M1 = laurmat(eye(2,2))
Z = laurpoly(1,1);
M2 = laurmat({1 Z;0 1})
% 计算劳伦多项式
P = M1 * M2
d = det(P)