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LAPACK
3.9.0
LAPACK: Linear Algebra PACKage
|
| subroutine slaev2 | ( | real | A, |
| real | B, | ||
| real | C, | ||
| real | RT1, | ||
| real | RT2, | ||
| real | CS1, | ||
| real | SN1 | ||
| ) |
SLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix.
Download SLAEV2 + dependencies [TGZ] [ZIP] [TXT]
SLAEV2 computes the eigendecomposition of a 2-by-2 symmetric matrix
[ A B ]
[ B C ].
On return, RT1 is the eigenvalue of larger absolute value, RT2 is the
eigenvalue of smaller absolute value, and (CS1,SN1) is the unit right
eigenvector for RT1, giving the decomposition
[ CS1 SN1 ] [ A B ] [ CS1 -SN1 ] = [ RT1 0 ]
[-SN1 CS1 ] [ B C ] [ SN1 CS1 ] [ 0 RT2 ]. | [in] | A | A is REAL
The (1,1) element of the 2-by-2 matrix. |
| [in] | B | B is REAL
The (1,2) element and the conjugate of the (2,1) element of
the 2-by-2 matrix. |
| [in] | C | C is REAL
The (2,2) element of the 2-by-2 matrix. |
| [out] | RT1 | RT1 is REAL
The eigenvalue of larger absolute value. |
| [out] | RT2 | RT2 is REAL
The eigenvalue of smaller absolute value. |
| [out] | CS1 | CS1 is REAL |
| [out] | SN1 | SN1 is REAL
The vector (CS1, SN1) is a unit right eigenvector for RT1. |
RT1 is accurate to a few ulps barring over/underflow.
RT2 may be inaccurate if there is massive cancellation in the
determinant A*C-B*B; higher precision or correctly rounded or
correctly truncated arithmetic would be needed to compute RT2
accurately in all cases.
CS1 and SN1 are accurate to a few ulps barring over/underflow.
Overflow is possible only if RT1 is within a factor of 5 of overflow.
Underflow is harmless if the input data is 0 or exceeds
underflow_threshold / macheps. Definition at line 122 of file slaev2.f.