man slasv2 (Fonctions bibliothèques) - compute the singular value decomposition of a 2-by-2 triangular matrix [ F G ] [ 0 H ]
NAME
SLASV2 - compute the singular value decomposition of a 2-by-2 triangular matrix [ F G ] [ 0 H ]
SYNOPSIS
- SUBROUTINE SLASV2(
- F, G, H, SSMIN, SSMAX, SNR, CSR, SNL, CSL )
- REAL CSL, CSR, F, G, H, SNL, SNR, SSMAX, SSMIN
PURPOSE
SLASV2 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) REAL
- The (1,1) element of the 2-by-2 matrix.
- G (input) REAL
- The (1,2) element of the 2-by-2 matrix.
- H (input) REAL
- The (2,2) element of the 2-by-2 matrix.
- SSMIN (output) REAL
- abs(SSMIN) is the smaller singular value.
- SSMAX (output) REAL
- abs(SSMAX) is the larger singular value.
- SNL (output) REAL
- CSL (output) REAL The vector (CSL, SNL) is a unit left singular vector for the singular value abs(SSMAX).
- SNR (output) REAL
- CSR (output) REAL 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
overflows 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.