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DLASV2(1)	    LAPACK auxiliary routine (version 3.2)	     DLASV2(1)

NAME
       DLASV2 - computes the singular value decomposition of a 2-by-2 triangu‐
       lar matrix  [ F G ]  [ 0 H ]

SYNOPSIS
       SUBROUTINE DLASV2( F, G, H, SSMIN, SSMAX, SNR, CSR, SNL, CSL )

	   DOUBLE	  PRECISION CSL, CSR, F, G, H, SNL, SNR, SSMAX, SSMIN

PURPOSE
       DLASV2 computes the singular value decomposition of a 2-by-2 triangular
       matrix
	  [  F	 G  ]
	  [   0	   H   ].  On return, abs(SSMAX) is the larger singular value,
       abs(SSMIN) is the smaller singular value, and (CSL,SNL)	and  (CSR,SNR)
       are  the	 left  and  right  singular vectors for abs(SSMAX), giving the
       decomposition
	  [ CSL	 SNL ] [  F   G	 ] [ CSR -SNR ]	 =  [ SSMAX   0	  ]
	  [-SNL	 CSL ] [  0   H	 ] [ SNR  CSR ]	    [  0    SSMIN ].

ARGUMENTS
       F       (input) DOUBLE PRECISION
	       The (1,1) element of the 2-by-2 matrix.

       G       (input) DOUBLE PRECISION
	       The (1,2) element of the 2-by-2 matrix.

       H       (input) DOUBLE PRECISION
	       The (2,2) element of the 2-by-2 matrix.

       SSMIN   (output) DOUBLE PRECISION
	       abs(SSMIN) is the smaller singular value.

       SSMAX   (output) DOUBLE PRECISION
	       abs(SSMAX) is the larger singular value.

       SNL     (output) DOUBLE PRECISION
	       CSL     (output) DOUBLE PRECISION The vector (CSL,  SNL)	 is  a
	       unit left singular vector for the singular value abs(SSMAX).

       SNR     (output) DOUBLE PRECISION
	       CSR	(output)  DOUBLE  PRECISION The vector (CSR, SNR) is a
	       unit right singular vector for the singular value abs(SSMAX).

FURTHER DETAILS
       Any input parameter may be aliased with any output parameter.   Barring
       over/underflow  and  assuming  a guard digit in subtraction, all output
       quantities are correct to within a few units in the last place (ulps).
       In IEEE arithmetic, the code works correctly if one matrix  element  is
       infinite.
       Overflow	 will not occur unless the largest singular value itself over‐
       flows or is within a few ulps of overflow. (On  machines	 with  partial
       overflow,  like	the  Cray,  overflow may occur if the largest singular
       value is within a factor of 2 of overflow.)
       Underflow is harmless if underflow is gradual. Otherwise,  results  may
       correspond  to  a  matrix  modified  by	perturbations of size near the
       underflow threshold.

 LAPACK auxiliary routine (versioNovember 2008			     DLASV2(1)
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