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DLAED4(l)  —  LAPACK routine (version 2.0)

NAME

DLAED4 - subroutine computes the I-th updated eigenvalue of a symmetric rank-one modification to a diagonal matrix whose elements are given in the array d, and that   D(i) < D(j) for i < j  and that RHO > 0

SYNOPSIS

SUBROUTINE DLAED4(
N, I, D, Z, DELTA, RHO, DLAM, INFO )

INTEGER I, INFO, N

DOUBLE PRECISION DLAM, RHO

DOUBLE PRECISION D( ∗ ), DELTA( ∗ ), Z( ∗ )

PURPOSE

This subroutine computes the I-th updated eigenvalue of a symmetric rank-one modification to a diagonal matrix whose elements are given in the array d, and that no loss in generality.  The rank-one modified system is thus
 
           diag( D )  +  RHO ∗  Z ∗ Z_transpose.
 
where we assume the Euclidean norm of Z is 1.
 
The method consists of approximating the rational functions in the secular equation by simpler interpolating rational functions.
 

ARGUMENTS

N      (input) INTEGER
The length of all arrays.

I      (input) INTEGER
The index of the eigenvalue to be computed.  1 <= I <= N.

D      (input) DOUBLE PRECISION array, dimension (N)
The original eigenvalues.  It is assumed that they are in order, D(I) < D(J)  for I < J.

Z      (input) DOUBLE PRECISION array, dimension (N)
The components of the updating vector.

DELTA  (output) DOUBLE PRECISION array, dimension (N)
If N .ne. 1, DELTA contains (D(j) - lambda_I) in its  j-th component.  If N = 1, then DELTA(1) = 1.  The vector DELTA contains the information necessary to construct the eigenvectors.

RHO    (input) DOUBLE PRECISION
The scalar in the symmetric updating formula.

DLAM   (output) DOUBLE PRECISION
The computed lambda_I, the I-th updated eigenvalue.

INFO   (output) INTEGER
= 0:  successful exit
> 0:  if INFO = 1, the updating process failed.

PARAMETERS

 
Logical variable ORGATI (origin-at-i?) is used for distinguishing whether D(i) or D(i+1) is treated as the origin.
 
ORGATI = .true.    origin at i ORGATI = .false.   origin at i+1
 
Logical variable SWTCH3 (switch-for-3-poles?) is for noting if we are working with THREE poles!
 
MAXIT is the maximum number of iterations allowed for each eigenvalue.

  —  LAPACK version 2.0  —  08 October 1994

Typewritten Software • bear@typewritten.org • Edmonds, WA 98026