代码搜索:Matrices

找到约 3,616 项符合「Matrices」的源代码

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www.eeworm.com/read/136707/13364561

html tour-ex2.html

A Tour of NTL: Examples: Vectors and Matrices
www.eeworm.com/read/147529/5728537

m min.m

%列状数据最小值 %例如 % A=[11 4 0.2;22 3 0.5;0 3 0.4]; % min(A) % %MIN Smallest component. % For vectors, MIN(X) is the smallest element in X. For matrices, % MIN(X) is a row vector contain
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m max.m

%列状数据最大值 %例如 % A=[11 4 0.2;22 3 0.5;0 3 0.4]; % max(A) % %MAX Largest component. % For vectors, MAX(X) is the largest element in X. For matrices, % MAX(X) is a row vector containin
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m min.m

%列状数据最小值 %例如 % A=[11 4 0.2;22 3 0.5;0 3 0.4]; % min(A) % %MIN Smallest component. % For vectors, MIN(X) is the smallest element in X. For matrices, % MIN(X) is a row vector contain
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m max.m

%列状数据最大值 %例如 % A=[11 4 0.2;22 3 0.5;0 3 0.4]; % max(A) % %MAX Largest component. % For vectors, MAX(X) is the largest element in X. For matrices, % MAX(X) is a row vector containin
www.eeworm.com/read/140847/5779502

m extract_params_from_gbn.m

function [B,D,mu] = extract_params_from_gbn(bnet) % Extract all the local parameters of each Gaussian node, and collect them into global matrices. % [B,D,mu] = extract_params_from_gbn(bnet) % % B(i,j)
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m extract_params_from_gbn.m

function [B,D,mu] = extract_params_from_gbn(bnet) % Extract all the local parameters of each Gaussian node, and collect them into global matrices. % [B,D,mu] = extract_params_from_gbn(bnet) % % B(i,j)
www.eeworm.com/read/133943/5897685

m extract_params_from_gbn.m

function [B,D,mu] = extract_params_from_gbn(bnet) % Extract all the local parameters of each Gaussian node, and collect them into global matrices. % [B,D,mu] = extract_params_from_gbn(bnet) % % B(i,j)
www.eeworm.com/read/133943/5897760

m extract_params_from_gbn.m

function [B,D,mu] = extract_params_from_gbn(bnet) % Extract all the local parameters of each Gaussian node, and collect them into global matrices. % [B,D,mu] = extract_params_from_gbn(bnet) % % B(i,j)
www.eeworm.com/read/480713/6660147

m randncond.m

% RANDNCOND Condition of random matrices nmax = 100; n = 2:nmax; kappalo = n.^(1/2); kappahi = 500*n.^3; shg clf reset h = loglog(n,[kappalo; kappahi],'-',nmax,NaN,'.'); set(h(1:2),'color