# slasv2 (l) - Linux Manuals

## slasv2: computes the singular value decomposition of a 2-by-2 triangular matrix [ F G ] [ 0 H ]

## NAME

SLASV2 - computes 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[

[

[

[-SNL

## 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.