slaed9(3)

NAME

SLAED9 - find the roots of the secular equation, as de
fined by the values in D, Z, and RHO, between KSTART and KSTOP

SYNOPSIS

SUBROUTINE  SLAED9(  K,  KSTART, KSTOP, N, D, Q, LDQ, RHO,
DLAMDA, W, S, LDS, INFO )
    INTEGER        INFO, K, KSTART, KSTOP, LDQ, LDS, N
    REAL           RHO
    REAL           D( * ), DLAMDA( * ), Q( LDQ,  *  ),  S(
LDS, * ), W( * )

PURPOSE

SLAED9 finds the roots of the secular equation, as defined
by the values in D, Z, and RHO, between KSTART and KSTOP. It
makes the appropriate calls to SLAED4 and then stores the new ma
trix of eigenvectors for use in calculating the next level of Z
vectors.

ARGUMENTS

K (input) INTEGER
The number of terms in the rational function to be
solved by SLAED4. K >= 0.
KSTART (input) INTEGER
KSTOP (input) INTEGER The updated eigenvalues
Lambda(I), KSTART <= I <= KSTOP are to be computed. 1 <= KSTART
<= KSTOP <= K.
N (input) INTEGER
The number of rows and columns in the Q matrix. N
>= K (delation may result in N > K).
D (output) REAL array, dimension (N)
D(I) contains the updated eigenvalues for KSTART
<= I <= KSTOP.
Q (workspace) REAL array, dimension (LDQ,N)
LDQ (input) INTEGER
The leading dimension of the array Q. LDQ >= max(
1, N ).
RHO (input) REAL
The value of the parameter in the rank one update
equation. RHO >= 0 required.
DLAMDA (input) REAL array, dimension (K)
The first K elements of this array contain the old
roots of the deflated updating problem. These are the poles of
the secular equation.
W (input) REAL array, dimension (K)
The first K elements of this array contain the
components of the deflation-adjusted updating vector.
S (output) REAL array, dimension (LDS, K)
Will contain the eigenvectors of the repaired ma
trix which will be stored for subsequent Z vector calculation and
multiplied by the previously accumulated eigenvectors to update
the system.
LDS (input) INTEGER
The leading dimension of S. LDS >= max( 1, K ).
INFO (output) INTEGER
= 0: successful exit.
< 0: if INFO = -i, the i-th argument had an ille
gal value.
> 0: if INFO = 1, an eigenvalue did not converge

FURTHER DETAILS

Based on contributions by
Jeff Rutter, Computer Science Division, University of
California
at Berkeley, USA
LAPACK version 3.0 15 June 2000
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