This matrix uses 800-megabytes of memory. Convert the matrix to sparse storage. Get S = sparse(A); whos S Name Size Bytes Class Attributes S 10000x10000 240008 double sparse In sparse form, the same matrix uses roughly 0.25-megabytes of memory. In this case, you can avoid full stor...
Sparse matrices provide efficient storage ofdoubleorlogicaldata that has a large percentage of zeros. Whilefull(ordense) matrices store every single element in memory regardless of value,sparsematrices store only the nonzero elements and their row indices. For this reason, using sparse matrices can...
matlab 稀疏矩阵(sparse matrix) 参数的设置:spparms() spparms('spumoni', 3);:Set sparse monitor flag to obtaindiagnostic output 1. 创建稀疏矩阵 A = sparse(M, N); % 默认得到的是全 0 稀疏矩阵; 2. spdiags 提取稀疏矩阵的“对角线” [B,d]= spdiags(A) % d 表示的是非零对角线所对应的编...
Define several elements in the matrix. Get S(1:3,1:3) = magic(3) S = 10x10 sparse double matrix (9 nonzeros) (1,1) 8 (2,1) 3 (3,1) 4 (1,2) 1 (2,2) 5 (3,2) 9 (1,3) 6 (2,3) 7 (3,3) 2 Show the number of nonzero elements in the matrix. Get n1 ...
i think you have to transform your matrix from Unsigned integer 8 to double, try : G=sparse(im2double(a));% or simply double(a) 댓글 수: 4 이전 댓글 2개 표시 jagannath mishra2013년 5월 20일 편집:jagannath mishra2013년 5월 20일 ...
matlab 稀疏矩阵(sparse matrix) spparms() spparms('spumoni', 3);:Set sparse monitor flag to obtaindiagnostic output 1. 创建稀疏矩阵 A = sparse(M, N); % 默认得到的是全 0 稀疏矩阵; 1. 2. 2. spdiags 提取稀疏矩阵的“对角线” [B,d] = spdiags(A) % d 表示的是非零对角线所对应的...
How to convert numeric matrix into sparse matrix. Learn more about how to convert numeric matrix into sparse matrix
For double values,sparseapplies thesumfunction. Values, specified as a scalar, vector, or matrix. The underlying type ofvmust bedoubleorlogical. Ifvis not a scalar,i(k),j(k), andv(k)specify the value ofS(i(k),j(k))as: S(i(k),j(k)) = v(k) ...
%而每个double类型占用8Bytes,如果不用稀疏阵存,大小将达80000Bytes。可见稀疏阵多好用。 % A matrix (one block smaller) % 1ブロック分小さい対角行列で y微分成分を作成 %生成一个分块对角矩阵,并对其上、下半部分进行修改,以包含y方向的微分项 d4y = eye(Nx*(Ny-1),'like',sparse(1)); ...
[a1;a2;a3];%Concatenate rows into final matrix%Create mp-matrices by conversion from double>>A=mp(rand(5));>>B=mp(eye(5));>>[V,D]=eig(A,B);>>norm(A*V-B*V*D,1)/(norm(A,1)*norm(B,1))ans=8.1433805952291741154581605524001229e-34%Create sparse matrixwithaccumulation using ...