>>> sparse.dok_matrix([[1,0,0,0,0],[0,1,0,0,1]]) <2x5 sparse matrix of type '<class 'numpy.int32'>' with 3 stored elements in Dictionary Of Keys format> >>> sparse.lil_matrix([[1,0,0,0,0],[0,1,0,0,1]]) <2x5 sparse matrix of type '<class 'numpy.int32'>' ...
1.1 ndarry 转 csr_matrix A = np.array([[1,2,0],[0,0,3],[1,0,4]]) array([[1, 2, 0], [0, 0, 3], [1, 0, 4]]) sA = sparse.csr_matrix(A) # Here's the initialization of the sparse matrix. <3x3 sparse matrix of type '<type 'numpy.int32'>' with 5 stored elem...
Many iterative methods (e.g. cg, gmres) do not need to know the individual entries of a matrix to solve a linear system A*x=b. Such solvers only require the computation of matrix vector products, A*v where v is a dense vector. This class serves as an abstract interface between iterat...
<2x5 sparse matrix of type '<class 'numpy.int32'>' with 4 stored elements (2 diagonals) in DIAgonal format> >>> sparse.dok_matrix([[1,0,0,0,0],[0,1,0,0,1]]) <2x5 sparse matrix of type '<class 'numpy.int32'>' with 3 stored elements in Dictionary Of Keys format> >>> ...
sparse/compressed.py", line 245, in multiply raise ValueError('inconsistent shapes') ValueError: inconsistent shapes >>> asp.multiply(bsp) <1x3 sparse matrix of type '<type 'numpy.int64'>' with 2 stored elements in Compressed Sparse Row format> >>> asp.multiply(d) matrix([[1, 0, 6]]...
Structure specifying sparse matrix properties. sparse_matrix_type_ttype- Specifies the type of a sparse matrix: SPARSE_MATRIX_TYPE_GENERAL The matrix is processed as is. SPARSE_MATRIX_TYPE_SYMMETRIC The matrix is symmetric (only the requested triangle is processed). ...
sparse_diag_type_tdiag- Specifies diagonal type for non-general matrices: SPARSE_DIAG_NON_UNIT Diagonal elements might not be equal to one. SPARSE_DIAG_UNIT Diagonal elements are equal to one. x Array of size at leastm, wheremis the number of rows of matrixA. On entry, the array must...
在下文中一共展示了SparseMatrixType::innerSize方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。 示例1: m ▲点赞 7▼ template<typenameSparseMatrixType>voidsparse_block(constSparseMatrixType& ref){constIndex rows =...
elements in CompressedSparseRow format>,with 460 stored elements in CompressedSparseRow format>, <100x100sparsematrix of type '<class'numpy.f 浏览0提问于2018-07-13得票数0 回答已采纳 1回答 稀疏h堆栈的枕形误差 、 我偶尔会遇到以下错误: File "hstack_error.py", line 3, in <module> File "...
开发者ID:GnsP,项目名称:viennacl-dev,代码行数:29,代码来源:sparse_matrix_operations.hpp 示例2: memory_exception ▲点赞 7▼ typenameviennacl::enable_if< viennacl::is_any_sparse_matrix<SparseMatrixType>::value>::typeassign_to_dense(SparseMatrixTypeconst& A, ...