# dlasv2.f man page

dlasv2.f

## Synopsis

### Functions/Subroutines

subroutine **dlasv2** (F, G, H, SSMIN, SSMAX, SNR, CSR, SNL, CSL)**DLASV2** computes the singular value decomposition of a 2-by-2 triangular matrix.

## Function/Subroutine Documentation

### subroutine dlasv2 (double precision F, double precision G, double precision H, double precision SSMIN, double precision SSMAX, double precision SNR, double precision CSR, double precision SNL, double precision CSL)

**DLASV2** computes the singular value decomposition of a 2-by-2 triangular matrix.

**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 ].

**Parameters:***F*F is DOUBLE PRECISION The (1,1) element of the 2-by-2 matrix.

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

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

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

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

*SNL*SNL is DOUBLE PRECISION

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

*SNR*SNR is DOUBLE PRECISION

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

**Author:**Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

**Date:**December 2016

**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.

Definition at line 140 of file dlasv2.f.

## Author

Generated automatically by Doxygen for LAPACK from the source code.

## Referenced By

The man page dlasv2(3) is an alias of dlasv2.f(3).

Tue Nov 14 2017 Version 3.8.0 LAPACK