DLASD5 (3) Linux Manual Page
dlasd5.f –
Synopsis
Functions/Subroutines
subroutine dlasd5 (I, D, Z, DELTA, RHO, DSIGMA, WORK)DLASD5 computes the square root of the i-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix. Used by sbdsdc.
Function/Subroutine Documentation
subroutine dlasd5 (integerI, double precision, dimension( 2 )D, double precision, dimension( 2 )Z, double precision, dimension( 2 )DELTA, double precisionRHO, double precisionDSIGMA, double precision, dimension( 2 )WORK)
DLASD5 computes the square root of the i-th eigenvalue of a positive symmetric rank-one modification of a 2-by-2 diagonal matrix. Used by sbdsdc. Purpose:
This subroutine computes the square root of the I-th eigenvalue
of a positive symmetric rank-one modification of a 2-by-2 diagonal
matrix
diag( D ) * diag( D ) + RHO * Z * transpose(Z) .
The diagonal entries in the array D are assumed to satisfy
0 <= D(i) < D(j) for i < j .
We also assume RHO > 0 and that the Euclidean norm of the vector
Z is one.
Parameters:
- I
I is INTEGER
D
The index of the eigenvalue to be computed. I = 1 or I = 2.D is DOUBLE PRECISION array, dimension ( 2 )
Z
The original eigenvalues. We assume 0 <= D(1) < D(2).Z is DOUBLE PRECISION array, dimension ( 2 )
DELTA
The components of the updating vector.DELTA is DOUBLE PRECISION array, dimension ( 2 )
RHO
Contains (D(j) – sigma_I) in its j-th component.
The vector DELTA contains the information necessary
to construct the eigenvectors.RHO is DOUBLE PRECISION
DSIGMA
The scalar in the symmetric updating formula.DSIGMA is DOUBLE PRECISION
WORK
The computed sigma_I, the I-th updated eigenvalue.WORK is DOUBLE PRECISION array, dimension ( 2 )
WORK contains (D(j) + sigma_I) in its j-th component.
Author:
- Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
- September 2012
Contributors:
- Ren-Cang Li, Computer Science Division, University of California at Berkeley, USA
Definition at line 117 of file dlasd5.f.
