Intel® Math Kernel Library 2019 Developer Reference - C
Computes sum of two sparse matrices.
sparse_status_t mkl_sparse_s_add (sparse_operation_t operation, const sparse_matrix_t A, float alpha, const sparse_matrix_t B, sparse_matrix_t *C);
sparse_status_t mkl_sparse_d_add (sparse_operation_t operation, const sparse_matrix_t A, double alpha, const sparse_matrix_t B, sparse_matrix_t *C);
sparse_status_t mkl_sparse_c_add (sparse_operation_t operation, const sparse_matrix_t A, MKL_Complex8 alpha, const sparse_matrix_t B, sparse_matrix_t *C);
sparse_status_t mkl_sparse_z_add (sparse_operation_t operation, const sparse_matrix_t A, MKL_Complex16 alpha, const sparse_matrix_t B, sparse_matrix_t *C);
The mkl_sparse_?_add routine performs a matrix-matrix operation:
C := alpha*op(A) + B
where alpha is a scalar and A, B, and C are sparse matrices.
This routine is only supported for sparse matrices in CSR and BSR formats. It is not supported for COO or CSC formats.
Handle containing a sparse matrix in internal data structure.
Specifies the scalar alpha.
Specifies operation op() on input matrix.
SPARSE_OPERATION_NON_TRANSPOSE |
Non-transpose, op(A) = A. |
SPARSE_OPERATION_TRANSPOSE |
Transpose, op(A) = AT. |
SPARSE_OPERATION_CONJUGATE_TRANSPOSE |
Conjugate transpose, op(A) = AH. |
Handle containing a sparse matrix in internal data structure.
Handle containing the resulting sparse matrix in internal data structure.
The function returns a value indicating whether the operation was successful or not, and why.
SPARSE_STATUS_SUCCESS |
The operation was successful. |
SPARSE_STATUS_NOT_INITIALIZED |
The routine encountered an empty handle or matrix array. |
SPARSE_STATUS_ALLOC_FAILED |
Internal memory allocation failed. |
SPARSE_STATUS_INVALID_VALUE |
The input parameters contain an invalid value. |
SPARSE_STATUS_EXECUTION_FAILED |
Execution failed. |
SPARSE_STATUS_INTERNAL_ERROR |
An error in algorithm implementation occurred. |
SPARSE_STATUS_NOT_SUPPORTED |
The requested operation is not supported. |