| bool lapack_gesv | ( | MArray< T, 2 > & | A, | |
| MArray< T, 1 > & | b | |||
| ) | [inline] |
GESV computes the solution to a system of linear equations A * x = b, where A is an N-by-N matrix and x and b are N-vectors.
LU decomposition with partial pivoting and row interchanges is used to factor A as A = P * L * U, where P is a permutation matrix, L is unit lower triangular, and U is upper triangular. The factored form of A is then used to solve the system of equations A * x = b.
The matrix A is replaced by L and U. The vector b is unchanged. The vector b is overwritten with the solution of Ax=b.
| bool lapack_gesv | ( | MArray< T, 2 > & | A, | |
| MArray< T, 2 > & | B | |||
| ) | [inline] |
GESV computes the solution to Nrhs systems of linear equations A * X = B, where A is an N-by-N matrix and X and B are N x Nrhs-matrices.
LU decomposition with partial pivoting and row interchanges is used to factor A as A = P * L * U, where P is a permutation matrix, L is unit lower triangular, and U is upper triangular. The factored form of A is then used to solve the system of equations A * x = b.
The matrix A is replaced by L and U. The Matrix B is overwritten with the solutions of A x_i = b_i, where x_i and b_i are the column vectors of X and B
| bool lapack_syev | ( | const MArray< T, 2 > & | A, | |
| MArray< T, 1 > & | val, | |||
| MArray< T, 2 > & | vec | |||
| ) | [inline] |
Purpose =======
SYEV computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix A.
| bool lapack_sbev | ( | const MArray< T, 2 > & | AB, | |
| MArray< T, 1 > & | val, | |||
| MArray< T, 2 > & | vec | |||
| ) | [inline] |
Purpose =======
SYEV computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix A in banded storage (assuming superdiagonals are stored.
1.6.1