mkl_sparse_?_qr

Factorization step of the SPARSE QR solver.

Syntax

sparse_status_t mkl_sparse_d_qr_factorize (sparse_matrix_t A, double *alt_values);

sparse_status_t mkl_sparse_s_qr_factorize (sparse_matrix_t A, float *alt_values);

The mkl_sparse_?_qr_factorize routine performs numerical factorization of matrix A. Prior to calling this routine, the mkl_sparse_?_qr_reorder routine must be called for the matrix handle A. For more information about the workflow of sparse QR functionality, refer to oneMKL Sparse QR solver. Multifrontal Sparse QR Factorization Method for Solving a Sparse System of Linear Equations.

Currently, mkl_sparse_?_qr_factorize supports only CSR format for the input matrix.

A: Handle containing a sparse matrix in an internal data structure.
alt_values: Array with alternative values. Must be the size of the non-zeroes in the initial input matrix. When passed to the routine, these values will be used during the factorization step instead of the values stored in handle A.

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.