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/384940/8832709

m fcall.m

function fcall(a) global DAE Settings Syn if ~a.n, return, end for i = 1:a.n idx = a.syn{i}; DAE.f = DAE.f + sparse(a.dgen(idx),1,2*pi*Settings.freq*(1-DAE.y(a.omega(i)))*Syn.u(idx),DAE.n,1); e
www.eeworm.com/read/384512/8866061

m som_neighbors.m

function Ne = som_neighbors(sM,neigh) % Ne = som_neighbors(sM,neigh) % % sM (struct) map or data struct % (matrix) data matrix, size n x dim % [neigh] (string) 'kNN' or 'Nk' (which is va
www.eeworm.com/read/426535/9014667

m ex1419.m

%例14-19 稀疏矩阵函数应用 S=sparse(randn(100)>3) nnz(S) nzmax(S) issparse(S) spy(S) %显示结果如图14-2
www.eeworm.com/read/426535/9014699

m ex1420.m

%例14-20 nnz和nzmax区别 S=sparse(rand(100)>0.98); nnz(S) nzmax(S) B=double(S); SS=B*B; nnz(SS) nzmax(SS) whos
www.eeworm.com/read/184304/9111135

m exm05~17.m

%exm051523_1.m n=5; SM1=sparse(1:n,1:n,-2*ones(1,n),n,n,n); SM2=sparse(2:n,1:n-1,ones(1,n-1),n,n,n-1); S1=SM1+SM2+SM2' e=ones(n,1); S2=spdiags([e,-2*e,e],[-1,0,1],n,n), SF=full(S1)
www.eeworm.com/read/365787/9847227

m program_20_1.m

% 本程序实现小波在矩阵方程求解中的应用 clear;clc; % 构造小波矩阵 [h,g]= wfilters('db7','d'); % 分解低通和高通滤波器 N=512; % 矩阵维数(大小为2的整数幂次) L=length(h); % 滤波器长度 rank_max=log2(N); % 最大层数 rank_m
www.eeworm.com/read/364985/9884306

m exm051523_1.m

%exm051523_1.m n=5; SM1=sparse(1:n,1:n,-2*ones(1,n),n,n,n); SM2=sparse(2:n,1:n-1,ones(1,n-1),n,n,n-1); S1=SM1+SM2+SM2' e=ones(n,1); S2=spdiags([e,-2*e,e],[-1,0,1],n,n), SF=full(S1)
www.eeworm.com/read/364508/9904928

m gee_its_sweet.m

function x = gee_its_sweet (A, b) % GEE_ITS_SWEET solves Ax=b with just x=A\b; it doesn't get sweeter than this % % Example: % % x = gee_its_sweet (A,b) ; % just does x=A\b, using backslash it
www.eeworm.com/read/166632/10010574

m naspgs.m

function x=naspgs(A,b,x0,e,N) % 用途:用向量(稀疏存储)形式的Gauss-Seidel迭代解线性方程组Ax=b % 格式: x=naspgs(A,b,x0,e,N),A为系数矩阵,b为右端向量,x返回解向量。 % x0为初值向量(默认原点),e为精度(默认1e-4),设置迭代次数上限以防发散(默认500)。 n=length(b); if na
www.eeworm.com/read/362220/10012102

m program_20_1.m

% 本程序实现小波在矩阵方程求解中的应用 clear;clc; % 构造小波矩阵 [h,g]= wfilters('db7','d'); % 分解低通和高通滤波器 N=512; % 矩阵维数(大小为2的整数幂次) L=length(h); % 滤波器长度 rank_max=log2(N); % 最大层数 rank_m