代码搜索：sparse
找到约 3,324 项符合「sparse」的源代码
代码结果 3,324
www.eeworm.com/read/457742/7318206
m init_bound_resect.m
function [limlist, feas_status] = init_bound_resect(xm, Xlist, nbrpoints, beta, m, n, maxdepth, flag)
feas_status = 1;
A = sparse(zeros(0,m*n));
Al = sparse(zeros(0,m*n));
A_f = sparse(zeros(
www.eeworm.com/read/409299/2234881
svn-base sparsenormalise.m.svn-base
function [normalisedX] = sparseNormalise(X)
% Normalize the features (columns) of sparse matrix X
[numRows, numCols] = size(X);
normalisedX = sparse(numRows, numCols);
normCols = speye(numCols
www.eeworm.com/read/409299/2235041
svn-base sparsecorrelationstest2.m.svn-base
%Test the distribution of sparse correlations for sparse KCCA
clear all;
dataSet = 'letter-recognition.data';
[X, y, numExamples, numFeatures] = readCsvData(dataSet);
%convert to indicator
www.eeworm.com/read/409299/2235044
m sparsecorrelationstest2.m
%Test the distribution of sparse correlations for sparse KCCA
clear all;
dataSet = 'letter-recognition.data';
[X, y, numExamples, numFeatures] = readCsvData(dataSet);
%convert to indicator
www.eeworm.com/read/162178/10329135
m find_result_channel.m
function result = find_result_channel(src_img,dst_img,padding_factor)
[rws cls] = size(src_img);
src_img_x = find_x_gradient(src_img,cls);
src_img_y = find_y_gradient(src_img,rws);
dst_img_x
www.eeworm.com/read/245198/7123979
m exp4_4.m
% exp4_4.m --- II型样条
% 这是我们编的II型样条的程序,仅供同学参考.
% II型样条是对两个端点附加二阶导数值的样条,也称曲率调整样条
function end_point_curvature_adjusted_spline
x=[0 1 2 3];
y=[0 0.5 2 1.5];
S = spline_II(x,y,0,0)
www.eeworm.com/read/445135/7598627
m scale_free.m
% 2006-12-20
% 无标度网络仿真
tic;
% 四个输入变量
I = 30 ; % 表示现实的次数,I要大于或者等于3,才能对节点的度数用邻接矩阵进行统计
N = 1000 ; % 表示网络的节点的个数
m0 = 3 ; % 表示网络的初始节点个数
m = 3 ; % 表示新点与旧网络连边的数目
% 输出变量realization_of_d
www.eeworm.com/read/244247/12876933
m ldpc_linetime_encode_2.m
function y=ldpc_linetime_encode_2(x,H,inv_phi1,g);
%tic
[m,n]=size(H);
A=H(1:m-g,1:n-m);B=H(1:m-g,n-m+1:n-m+g);
C=H(m-g+1:m,1:n-m);T=H(1:m-g,n-m+g+1:n);
E=H(m-g+1:m,n-m+g+1:n);
p2=sparse((m-