代码搜索：Multidimensional
找到约 559 项符合「Multidimensional」的源代码
代码结果 559
www.eeworm.com/read/326711/3470143
c fig06_21.c
/* Fig. 6.21: fig06_21.c
Initializing multidimensional arrays */
#include
void printArray( const int a[][ 3 ] ); /* function prototype */
/* function main begins program execution
www.eeworm.com/read/440906/1774834
c array1.c
// Test typeid of multidimensional array with no bounds.
// { dg-do compile }
#include
int main()
{
const char *s = typeid(double[][]).name(); // { dg-error "bounds|confused" }
return 0
www.eeworm.com/read/366702/2868031
c array1.c
// Test typeid of multidimensional array with no bounds.
// { dg-do compile }
#include
int main()
{
const char *s = typeid(double[][]).name(); // { dg-error "bounds|confused" }
return 0
www.eeworm.com/read/205036/15329009
m double.m
function A = double(X)
%DOUBLE Convert a ktensor to a double array.
%
% A = double(X) converts X to a standard multidimensional array.
%
% See also KTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 20
www.eeworm.com/read/289743/8530009
m mds.m
function mappedX = mds(X, no_dims)
%MDS Run MDS on the data to get a low-dimensional visualization
%
% mappedX = mds(X, no_dims)
%
% Run multidimensional scaling on the dataset X to get a two-
www.eeworm.com/read/188512/8533226
cpp fig07_22.cpp
// Fig. 7.22: fig07_22.cpp
// Initializing multidimensional arrays.
#include
using std::cout;
using std::endl;
void printArray( const int [][ 3 ] ); // prototype
int main()
{
www.eeworm.com/read/386050/8768241
m mds.m
%MDS - Multidimensional Scaling - a variant of Sammon mapping
%
% [W,J,stress] = MDS(D,Y,OPTIONS)
% [W,J,stress] = MDS(D,N,OPTIONS)
%
% INPUT
% D Square (M x M) dissimilarity matrix
%
www.eeworm.com/read/282683/9074233
m mds.m
function mappedX = mds(X, no_dims)
%MDS Run MDS on the data to get a low-dimensional visualization
%
% mappedX = mds(X, no_dims)
%
% Run multidimensional scaling on the dataset X to get a two-
www.eeworm.com/read/299984/7140345
m mds.m
%MDS - Multidimensional Scaling - a variant of Sammon mapping
%
% [W,J,stress] = MDS(D,Y,OPTIONS)
% [W,J,stress] = MDS(D,N,OPTIONS)
%
% INPUT
% D Square (M x M) dissimilarity matrix
%
www.eeworm.com/read/460435/7250820
m mds.m
%MDS - Multidimensional Scaling - a variant of Sammon mapping
%
% [W,J,stress] = MDS(D,Y,OPTIONS)
% [W,J,stress] = MDS(D,N,OPTIONS)
%
% INPUT
% D Square (M x M) dissimilarity matrix
%