DLAEV2 - compute the eigendecomposition of a 2-by-2 sym
metric matrix [ A B ] [ B C ]
SYNOPSIS
SUBROUTINE DLAEV2( A, B, C, RT1, RT2, CS1, SN1 )
DOUBLE PRECISION A, B, C, CS1, RT1, RT2, SN1
PURPOSE
DLAEV2 computes the eigendecomposition of a 2-by-2 symmet
ric matrix [ A B ] [ B C ]. On return, RT1 is the eigen
value 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 ].
ARGUMENTS
A (input) DOUBLE PRECISION
The (1,1) element of the 2-by-2 matrix.
B (input) DOUBLE PRECISION
The (1,2) element and the conjugate of the (2,1)
element of the 2-by-2 matrix.
C (input) DOUBLE PRECISION
The (2,2) element of the 2-by-2 matrix.
RT1 (output) DOUBLE PRECISION
The eigenvalue of larger absolute value.
RT2 (output) DOUBLE PRECISION
The eigenvalue of smaller absolute value.
CS1 (output) DOUBLE PRECISION
SN1 (output) DOUBLE PRECISION The vector (CS1,
SN1) is a unit right eigenvector for RT1.
FURTHER DETAILS
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/under
flow.
Overflow is possible only if RT1 is within a factor of 5
of overflow. Underflow is harmless if the input data is 0
underflow_threshold / macheps.
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