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.TH DLAEV2 l "15 June 2000" "LAPACK version 3.0" ")"
.SH NAME
DLAEV2 - compute the eigendecomposition of a 2-by-2 symmetric matrix [ A B ] [ B C ]
.SH SYNOPSIS
.TP 19
SUBROUTINE DLAEV2(
A, B, C, RT1, RT2, CS1, SN1 )
.TP 19
.ti +4
DOUBLE
PRECISION A, B, C, CS1, RT1, RT2, SN1
.SH PURPOSE
DLAEV2 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
.br
[ CS1 SN1 ] [ A B ] [ CS1 -SN1 ] = [ RT1 0 ]
.br
[-SN1 CS1 ] [ B C ] [ SN1 CS1 ] [ 0 RT2 ].
.SH ARGUMENTS
.TP 8
A (input) DOUBLE PRECISION
The (1,1) element of the 2-by-2 matrix.
.TP 8
B (input) DOUBLE PRECISION
The (1,2) element and the conjugate of the (2,1) element of
the 2-by-2 matrix.
.TP 8
C (input) DOUBLE PRECISION
The (2,2) element of the 2-by-2 matrix.
.TP 8
RT1 (output) DOUBLE PRECISION
The eigenvalue of larger absolute value.
.TP 8
RT2 (output) DOUBLE PRECISION
The eigenvalue of smaller absolute value.
.TP 8
CS1 (output) DOUBLE PRECISION
SN1 (output) DOUBLE PRECISION
The vector (CS1, SN1) is a unit right eigenvector for RT1.
.SH FURTHER DETAILS
RT1 is accurate to a few ulps barring over/underflow.
.br
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.
.br
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
.br
underflow_threshold / macheps.
.br
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