dlasv2.f - Online Linux Manual Page

Section : 3
Updated : Tue Nov 14 2017
Source : Version 3.8.0
Note : LAPACK

NAME

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

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

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.

Johanes Gumabo

Data Size : 13,622 byte

man-dlasv2.3Build :

2025-03-22, 13:26

Visitor Screen :

Visitor Counter ( page / site )

4 / 2,337,730

Visitor ID :

Visitor IP :

216.73.216.115

Visitor Provider :

AMAZON-02

Provider Position ( lat x lon )

39.962500

-83.006100

Provider Accuracy Radius ( km )

Provider City :

Columbus

Provider Province :

Ohio

Provider Country :

United States

Provider Continent :

North America

Visitor Recorder : Version :

Visitor Recorder : Library :

Online Linux Manual Page : Version :

Online Linux Manual Page - Fedora.40 - march=x86-64 - mtune=generic - 25.03.22

Online Linux Manual Page : Library :

lib_c - 24.10.03 - march=x86-64 - mtune=generic - Fedora.40

Online Linux Manual Page : Library :

lib_m - 24.10.03 - march=x86-64 - mtune=generic - Fedora.40

Data Base : Version :

Online Linux Manual Page Database - 24.04.13 - march=x86-64 - mtune=generic - fedora-38

Data Base : Library :

lib_c - 23.02.07 - march=x86-64 - mtune=generic - fedora.36

Very long time ago, I have the best tutor, Wenzel Svojanovsky. If someone knows the email address of Wenzel Svojanovsky, please send an email to johanesgumabo@gmail.com.

Help me, linux0001.com will expire on July 16, 2025. I have no money to renew it. View detail

If error, please print screen and send to johanes_gumabo@yahoo.co.id
Under development. Support me via PayPal.