代码搜索：Definite
找到约 349 项符合「Definite」的源代码
代码结果 349
www.eeworm.com/read/201342/15409879
txt 06-42.txt
例6- 42 求矩阵的Chollesky分解。
解：在命令窗口中输入如下命令，并按Enter键确认。
>> A=[4 -1 -1;-1 4.25 2.75;1 2.75 3.5]
A =
4.0000 -1.0000 -1.0000
-1.0000 4.2500 2.7500
1.0000 2.7500 3.5000
>> R=
www.eeworm.com/read/428167/8885994
m logdet.m
function y = logdet(A)
% log(det(A)) where A is positive-definite.
% This is faster and more stable than using log(det(A)).
% From Tom Minka's lightspeed toolbox
U = chol(A);
y = 2*sum(log(d
www.eeworm.com/read/427909/8913403
m logdet.m
function y = logdet(A)
% log(det(A)) where A is positive-definite.
% This is faster and more stable than using log(det(A)).
% From Tom Minka's lightspeed toolbox
U = chol(A);
y = 2*sum(log(d
www.eeworm.com/read/427909/8913585
m rand_psd.m
function M = rand_psd(d, d2, k)
% Create a random positive definite matrix of size d by d by k (k defaults to 1)
% M = rand_psd(d, d2, k) default: d2 = d, k = 1
if nargin
www.eeworm.com/read/284259/8952273
rwish
rwish package:sbgcop R Documentation
_S_a_m_p_l_e _f_r_o_m _t_h_e _W_i_s_h_a_r_t _D_i_s_t_r_i_b_u_t_i_o_n
_D_e_s_c_r_i_p_t
www.eeworm.com/read/373250/9467522
m logdet.m
function y = logdet(A)
% log(det(A)) where A is positive-definite.
% This is faster and more stable than using log(det(A)).
% From Tom Minka's lightspeed toolbox
U = chol(A);
y = 2*sum(log(d
www.eeworm.com/read/373250/9467639
m rand_psd.m
function M = rand_psd(d, d2, k)
% Create a random positive definite matrix of size d by d by k (k defaults to 1)
% M = rand_psd(d, d2, k) default: d2 = d, k = 1
if nargin
www.eeworm.com/read/425546/10348751
m logdet.m
function y = logdet(A)
% log(det(A)) where A is positive-definite.
% This is faster and more stable than using log(det(A)).
% From Tom Minka's lightspeed toolbox
U = chol(A);
y = 2*sum(log(d
www.eeworm.com/read/425546/10348876
m rand_psd.m
function M = rand_psd(d, d2, k)
% Create a random positive definite matrix of size d by d by k (k defaults to 1)
% M = rand_psd(d, d2, k) default: d2 = d, k = 1
if nargin
www.eeworm.com/read/349646/10808651
m logdet.m
function y = logdet(A)
% log(det(A)) where A is positive-definite.
% This is faster and more stable than using log(det(A)).
% From Tom Minka's lightspeed toolbox
U = chol(A);
y = 2*sum(log(d