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/168218/9932505

cpp maddct2.cpp

// simplified step count for matrix addition #include #include "make2db.h" int count = 0; template void Add( T **a, T **b, T **c, int rows, int cols) {// Add matrices
www.eeworm.com/read/168218/9932754

cpp maddct1.cpp

// step count for matrix addition #include #include "make2db.h" int count = 0; template void Add( T **a, T **b, T **c, int rows, int cols) {// Add matrices a and b to
www.eeworm.com/read/168218/9933572

cpp maddct2.cpp

// simplified step count for matrix addition #include #include "make2db.h" int count = 0; template void Add( T **a, T **b, T **c, int rows, int cols) {// Add matrices
www.eeworm.com/read/168218/9933602

cpp maddct1.cpp

// step count for matrix addition #include #include "make2db.h" int count = 0; template void Add( T **a, T **b, T **c, int rows, int cols) {// Add matrices a and b to
www.eeworm.com/read/166306/10024261

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/165122/10075709

c readmat.c

#include #include #include #include #include #include "clustalw.h" #include "matrices.h" /* * Prototypes */ static Boolean commentline(char *li
www.eeworm.com/read/164554/10103453

m lagdif.m

function [x, DM] = lagdif(N, M, b) % The function [x, DM] = lagdif(N, M, b) computes the % differentiation matrices D1, D2, ..., DM on Laguerre points. % % Input: % N: Number of points, i.e.,
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m herdif.m

function [x, DM] = herdif(N, M, b); % The function [x, DM] = herdif(N, M, b) computes the % differentiation matrices D1, D2, ..., DM on Hermite points. % % Input: % N: Number of points, i.e.,
www.eeworm.com/read/163924/10139899

m f_from_ps_ex.m

% Example on computing F from two camera matrices using vgg_F_from_P % and displaying result % Note P's are read from stored example in vgg_example_scene % Read in P's and images [view] = vgg_exampl