bicg1 cg1 coo_csr csr_coo csr_dense csr_dusmm csr_dusmv csr_dussm csr_dussv csr_ssr csr_trans dense_csr ssr_csr ssr_dusmv

dense_csr() def dense_csr ( m  , n  , a  , maxnnz  , val  , rowptr  , colind  , base    ) Dense matrix -> CSR Purpose This routine converts the dense matrix to the sparse matrix in CSR format. Returns info (int) = 0: Successful exit. = i < 0: The (-i)-th argument is invalid. = 10: Insufficient outout array size (maxnnz is too small). Parameters [in] m Number of rows of the matrix. (m >= 0) (if m = 0, returns without computation) [in] n Number of columns of the matrix. (n >= 0) (if n = 0, returns without computation) [in] a Numpy ndarray (2-dimensional, float, m x n) Input matrix. [in] maxnnz Size of arrays val[] and colind[] (must be greater than the number of nonzero elements of the input matrix). (maxnnz > 0) [out] val Numpy ndarray (1-dimensional, float, maxnnz) Values of nonzero elements of output matrix in CSR format. [out] rowptr Numpy ndarray (1-dimensional, int32, m + 1) Row pointers of output matrix in CSR format. [out] colind Numpy ndarray (1-dimensional, int32, maxnnz) Column indices of output matrix in CSR format. [in] base Indexing of rowptr and colind. = 0: Zero-based (C style) indexing: Starting index is 0. = 1: One-based (Fortran style) indexing: Starting index is 1.