代码搜索：Matrices

找到约 3,616 项符合「Matrices」的源代码

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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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www.eeworm.com/read/196814/8058370

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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www.eeworm.com/read/196814/8058858

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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www.eeworm.com/read/331444/12828111

c histo.c

/* [N, X] = histo(MTX, NBINS_OR_BINSIZE, BIN_CENTER) >>> See histo.m for documentation
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www.eeworm.com/read/244945/12829227

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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www.eeworm.com/read/244945/12829650

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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www.eeworm.com/read/329331/12960109

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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www.eeworm.com/read/329331/12960645

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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www.eeworm.com/read/141692/12991084

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
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www.eeworm.com/read/326313/13148664

m kron.m

function Q = kron(P1,P2) % KRON -- Kronecker product of matrix polynomials % % Q = kron(P1,P2) % % To visualize this, it helps to think of P1, P2 as matrices with % polynomial entries,
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