代码搜索：Matrix
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www.eeworm.com/read/296909/8072977
m prod.m
function p = prod(varargin)
% GPVAR/PROD Implements product function for GP variables.
%
% P = PROD(X) is the product of the elements of the vector X.
% If X is a matrix, P is a row vector with the p
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d rl.d
1 EXPLANATION OF COLUMN ENTRIES FOR THE SUMMARY STATISTICS
-----------------------------------------------------------------------------------------------
M N IP SVD
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m l2_distance.m
function d = L2_distance(a,b,df)
% L2_DISTANCE - computes Euclidean distance matrix
%
% E = L2_distance(A,B)
%
% A - (DxM) matrix
% B - (DxN) matrix
% df = 1, force diagonals to be ze
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h decodeutil.h
#include
#include
#include
#include
int *ivector(int ilow,int ihigh);
int **imatrix(int ilow,int ihigh,int jlow,int jhigh);
double *vector(int ilow,i
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txt danchunxinggasuanfa.txt
#include
#include
#include
float matrix[100][100],x[100]; /* 记录总方程的数组,解的数组 */
int a[100]; /* 记录基础,非基础的解的情况,0:非基础,1:基础 */
int m,n,s,type; /* 方程变量,约束数,求最大最小值的类型,0:
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m rdct.m
function y=rdct(x,n)
%RDCT Discrete cosine transform of real data Y=(X,N)
% Data is truncated/padded to length N.
%
% This routine is equivalent to multiplying by the matrix
%
% rdct(eye(n
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m rdct.m
function y=rdct(x,n)
%RDCT Discrete cosine transform of real data Y=(X,N)
% Data is truncated/padded to length N.
%
% This routine is equivalent to multiplying by the matrix
%
% rdct(eye(n
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cpp iterativedpmatrixchain.cpp
// iterative version of dynamic programming solution for
// the matrix multiplication chains problem
#include
#include "make2dArray.h"
using namespace std;
// global variables
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m gradmat.m
function G = Gradmat(mesh)
% Computes the topological gradient matrix of the mesh
%
% mesh -> Data structure for 2D unstructured mesh
%
% the gradient matrix is the incidence matrix of oriented edges