*> \brief \b DLAE2 computes the eigenvalues of a 2-by-2 symmetric matrix.
*
*  =========== DOCUMENTATION ===========
*
* Online html documentation available at 
*            http://www.netlib.org/lapack/explore-html/ 
*
*> \htmlonly
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlae2.f"> 
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlae2.f"> 
*> [TXT]</a>
*> \endhtmlonly 
*
*  Definition:
*  ===========
*
*       SUBROUTINE DLAE2( A, B, C, RT1, RT2 )
* 
*       .. Scalar Arguments ..
*       DOUBLE PRECISION   A, B, C, RT1, RT2
*       ..
*  
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> DLAE2  computes the eigenvalues of a 2-by-2 symmetric matrix
*>    [  A   B  ]
*>    [  B   C  ].
*> On return, RT1 is the eigenvalue of larger absolute value, and RT2
*> is the eigenvalue of smaller absolute value.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] A
*> \verbatim
*>          A is DOUBLE PRECISION
*>          The (1,1) element of the 2-by-2 matrix.
*> \endverbatim
*>
*> \param[in] B
*> \verbatim
*>          B is DOUBLE PRECISION
*>          The (1,2) and (2,1) elements of the 2-by-2 matrix.
*> \endverbatim
*>
*> \param[in] C
*> \verbatim
*>          C is DOUBLE PRECISION
*>          The (2,2) element of the 2-by-2 matrix.
*> \endverbatim
*>
*> \param[out] RT1
*> \verbatim
*>          RT1 is DOUBLE PRECISION
*>          The eigenvalue of larger absolute value.
*> \endverbatim
*>
*> \param[out] RT2
*> \verbatim
*>          RT2 is DOUBLE PRECISION
*>          The eigenvalue of smaller absolute value.
*> \endverbatim
*
*  Authors:
*  ========
*
*> \author Univ. of Tennessee 
*> \author Univ. of California Berkeley 
*> \author Univ. of Colorado Denver 
*> \author NAG Ltd. 
*
*> \date September 2012
*
*> \ingroup auxOTHERauxiliary
*
*> \par Further Details:
*  =====================
*>
*> \verbatim
*>
*>  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.
*>
*>  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.
*> \endverbatim
*>
*  =====================================================================
      SUBROUTINE GAL_DLAE2(A,B,C,RT1,RT2)
*
*  -- LAPACK auxiliary routine (version 3.4.2) --
*  -- LAPACK is a software package provided by Univ. of Tennessee,    --
*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*     September 2012
*
*     .. Scalar Arguments ..
      DOUBLE PRECISION A,B,C,RT1,RT2
*     ..
*
* =====================================================================
*
*     .. Parameters ..
      DOUBLE PRECISION ONE
      PARAMETER (ONE=1.0D0)
      DOUBLE PRECISION TWO
      PARAMETER (TWO=2.0D0)
      DOUBLE PRECISION ZERO
      PARAMETER (ZERO=0.0D0)
      DOUBLE PRECISION HALF
      PARAMETER (HALF=0.5D0)
*     ..
*     .. Local Scalars ..
      DOUBLE PRECISION AB,ACMN,ACMX,ADF,DF,RT,SM,TB
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC ABS,SQRT
*     ..
*     .. Executable Statements ..
*
*     Compute the eigenvalues
*
      SM=A+C
      DF=A-C
      ADF=ABS(DF)
      TB=B+B
      AB=ABS(TB)
      IF(ABS(A).GT.ABS(C))THEN
      ACMX=A
      ACMN=C
      ELSE 
      ACMX=C
      ACMN=A
      END IF
      IF(ADF.GT.AB)THEN
      RT=ADF*SQRT(ONE+(AB/ADF)**2)
      ELSE IF(ADF.LT.AB)THEN
      RT=AB*SQRT(ONE+(ADF/AB)**2)
      ELSE 
*
*        Includes case AB=ADF=0
*
      RT=AB*SQRT(TWO)
      END IF
      IF(SM.LT.ZERO)THEN
      RT1=HALF*(SM-RT)
*
*        Order of execution important.
*        To get fully accurate smaller eigenvalue,
*        next line needs to be executed in higher precision.
*
      RT2=(ACMX/RT1)*ACMN-(B/RT1)*B
      ELSE IF(SM.GT.ZERO)THEN
      RT1=HALF*(SM+RT)
*
*        Order of execution important.
*        To get fully accurate smaller eigenvalue,
*        next line needs to be executed in higher precision.
*
      RT2=(ACMX/RT1)*ACMN-(B/RT1)*B
      ELSE 
*
*        Includes case RT1 = RT2 = 0
*
      RT1=HALF*RT
      RT2=-HALF*RT
      END IF
      RETURN
*
*     End of DLAE2
*
      END