SLASD5(1) LAPACK auxiliary routine (version 3.2) SLASD5(1)NAME
SLASD5 - subroutine compute 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 The diagonal entries in the array D are
assumed to satisfy 0 <= D(i) < D(j) for i < j
SYNOPSIS
SUBROUTINE SLASD5( I, D, Z, DELTA, RHO, DSIGMA, WORK )
INTEGER I
REAL DSIGMA, RHO
REAL D( 2 ), DELTA( 2 ), WORK( 2 ), Z( 2 )
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 We
also assume RHO > 0 and that the Euclidean norm of the vector Z is one.
ARGUMENTS
I (input) INTEGER
The index of the eigenvalue to be computed. I = 1 or I = 2.
D (input) REAL array, dimension (2)
The original eigenvalues. We assume 0 <= D(1) < D(2).
Z (input) REAL array, dimension (2)
The components of the updating vector.
DELTA (output) REAL array, dimension (2)
Contains (D(j) - sigma_I) in its j-th component. The vector
DELTA contains the information necessary to construct the eigen‐
vectors.
RHO (input) REAL
The scalar in the symmetric updating formula. DSIGMA (output)
REAL The computed sigma_I, the I-th updated eigenvalue.
WORK (workspace) REAL array, dimension (2)
WORK contains (D(j) + sigma_I) in its j-th component.
FURTHER DETAILS
Based on contributions by
Ren-Cang Li, Computer Science Division, University of California
at Berkeley, USA
LAPACK auxiliary routine (versioNovember 2008 SLASD5(1)
