Computes matrix-vector product of a sparse symmetrical matrix stored in the BSR format (3-array variation) with one-based indexing.
Computes matrix - vector product of a sparse matrix stored in the CSR format.
Computes matrix - vector product for a sparse matrix in the diagonal format with one-based indexing.
Computes product of two sparse matrices stored in the CSR format (3-array variation) with one-based indexing. The result is stored in the dense matrix.
Scales two vectors, adds them to one another and stores result in the vector.
This section describes the LAPACK routines for solving systems of linear equations. Before calling most of these routines, you need to factorize the matrix of your system of equations (see Routines for Matrix Factorization). However, the factorization is not necessary if your system of equations has a triangular matrix.
Solves a system of linear equations with a triangular coefficient matrix, with multiple right-hand sides.
Estimates the reciprocal of the condition number of a packed triangular matrix.