dlapy2.f

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*> \brief \b DLAPY2 returns sqrt(x2+y2).
*
*  =========== DOCUMENTATION ===========
*
* Online html documentation available at
*            http://www.netlib.org/lapack/explore-html/
*
*> \htmlonly
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*> [TGZ]</a>
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*> [TXT]</a>
*> \endhtmlonly
*
*  Definition:
*  ===========
*
*       DOUBLE PRECISION FUNCTION DLAPY2( X, Y )
*
*       .. Scalar Arguments ..
*       DOUBLE PRECISION   X, Y
*       ..
*
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> DLAPY2 returns sqrt(x**2+y**2), taking care not to cause unnecessary
*> overflow.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] X
*> \verbatim
*>          X is DOUBLE PRECISION
*> \endverbatim
*>
*> \param[in] Y
*> \verbatim
*>          Y is DOUBLE PRECISION
*>          X and Y specify the values x and y.
*> \endverbatim
*
*  Authors:
*  ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \ingroup OTHERauxiliary
*
*  =====================================================================
      DOUBLE PRECISION FUNCTION dlapy2( X, Y )
*
*  -- LAPACK auxiliary routine --
*  -- LAPACK is a software package provided by Univ. of Tennessee,    --
*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*
*     .. Scalar Arguments ..
      DOUBLE PRECISION   x, y
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      DOUBLE PRECISION   zero
      parameter( zero = 0.0d0 )
      DOUBLE PRECISION   one
      parameter( one = 1.0d0 )
*     ..
*     .. Local Scalars ..
      DOUBLE PRECISION   w, xabs, yabs, z
      LOGICAL            x_is_nan, y_is_nan
*     ..
*     .. External Functions ..
      LOGICAL            disnan
      EXTERNAL           disnan
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          abs, max, min, sqrt
*     ..
*     .. Executable Statements ..
*
      x_is_nan = disnan( x )
      y_is_nan = disnan( y )
      IF ( x_is_nan ) dlapy2 = x
      IF ( y_is_nan ) dlapy2 = y
*
      IF ( .NOT.( x_is_nan.OR.y_is_nan ) ) THEN
         xabs = abs( x )
         yabs = abs( y )
         w = max( xabs, yabs )
         z = min( xabs, yabs )
         IF( z.EQ.zero ) THEN
            dlapy2 = w
         ELSE
            dlapy2 = w*sqrt( one+( z / w )**2 )
         END IF
      END IF
      RETURN
*
*     End of DLAPY2
*
      END