DLASD2(l) ) DLASD2(l)NAME
DLASD2 - merge the two sets of singular values together into a single
sorted set
SYNOPSIS
SUBROUTINE DLASD2( NL, NR, SQRE, K, D, Z, ALPHA, BETA, U, LDU, VT,
LDVT, DSIGMA, U2, LDU2, VT2, LDVT2, IDXP, IDX, IDXC,
IDXQ, COLTYP, INFO )
INTEGER INFO, K, LDU, LDU2, LDVT, LDVT2, NL, NR, SQRE
DOUBLE PRECISION ALPHA, BETA
INTEGER COLTYP( * ), IDX( * ), IDXC( * ), IDXP( * ), IDXQ( *
)
DOUBLE PRECISION D( * ), DSIGMA( * ), U( LDU, * ), U2(
LDU2, * ), VT( LDVT, * ), VT2( LDVT2, * ), Z( * )
PURPOSE
DLASD2 merges the two sets of singular values together into a single
sorted set. Then it tries to deflate the size of the problem. There are
two ways in which deflation can occur: when two or more singular val‐
ues are close together or if there is a tiny entry in the Z vector.
For each such occurrence the order of the related secular equation
problem is reduced by one.
DLASD2 is called from DLASD1.
ARGUMENTS
NL (input) INTEGER
The row dimension of the upper block. NL >= 1.
NR (input) INTEGER
The row dimension of the lower block. NR >= 1.
SQRE (input) INTEGER
= 0: the lower block is an NR-by-NR square matrix.
= 1: the lower block is an NR-by-(NR+1) rectangular matrix.
The bidiagonal matrix has N = NL + NR + 1 rows and M = N + SQRE
>= N columns.
K (output) INTEGER
Contains the dimension of the non-deflated matrix, This is the
order of the related secular equation. 1 <= K <=N.
D (input/output) DOUBLE PRECISION array, dimension(N)
On entry D contains the singular values of the two submatrices
to be combined. On exit D contains the trailing (N-K) updated
singular values (those which were deflated) sorted into increas‐
ing order.
ALPHA (input) DOUBLE PRECISION
Contains the diagonal element associated with the added row.
BETA (input) DOUBLE PRECISION
Contains the off-diagonal element associated with the added row.
U (input/output) DOUBLE PRECISION array, dimension(LDU,N)
On entry U contains the left singular vectors of two submatrices
in the two square blocks with corners at (1,1), (NL, NL), and
(NL+2, NL+2), (N,N). On exit U contains the trailing (N-K)
updated left singular vectors (those which were deflated) in its
last N-K columns.
LDU (input) INTEGER
The leading dimension of the array U. LDU >= N.
Z (output) DOUBLE PRECISION array, dimension(N)
On exit Z contains the updating row vector in the secular equa‐
tion.
DSIGMA (output) DOUBLE PRECISION array, dimension (N) Contains a
copy of the diagonal elements (K-1 singular values and one zero)
in the secular equation.
U2 (output) DOUBLE PRECISION array, dimension(LDU2,N)
Contains a copy of the first K-1 left singular vectors which
will be used by DLASD3 in a matrix multiply (DGEMM) to solve for
the new left singular vectors. U2 is arranged into four blocks.
The first block contains a column with 1 at NL+1 and zero every‐
where else; the second block contains non-zero entries only at
and above NL; the third contains non-zero entries only below
NL+1; and the fourth is dense.
LDU2 (input) INTEGER
The leading dimension of the array U2. LDU2 >= N.
VT (input/output) DOUBLE PRECISION array, dimension(LDVT,M)
On entry VT' contains the right singular vectors of two subma‐
trices in the two square blocks with corners at (1,1), (NL+1,
NL+1), and (NL+2, NL+2), (M,M). On exit VT' contains the trail‐
ing (N-K) updated right singular vectors (those which were
deflated) in its last N-K columns. In case SQRE =1, the last
row of VT spans the right null space.
LDVT (input) INTEGER
The leading dimension of the array VT. LDVT >= M.
VT2 (output) DOUBLE PRECISION array, dimension(LDVT2,N)
VT2' contains a copy of the first K right singular vectors which
will be used by DLASD3 in a matrix multiply (DGEMM) to solve for
the new right singular vectors. VT2 is arranged into three
blocks. The first block contains a row that corresponds to the
special 0 diagonal element in SIGMA; the second block contains
non-zeros only at and before NL +1; the third block contains
non-zeros only at and after NL +2.
LDVT2 (input) INTEGER
The leading dimension of the array VT2. LDVT2 >= M.
IDXP (workspace) INTEGER array, dimension(N)
This will contain the permutation used to place deflated values
of D at the end of the array. On output IDXP(2:K)
points to the nondeflated D-values and IDXP(K+1:N) points to the
deflated singular values.
IDX (workspace) INTEGER array, dimension(N)
This will contain the permutation used to sort the contents of D
into ascending order.
IDXC (output) INTEGER array, dimension(N)
This will contain the permutation used to arrange the columns of
the deflated U matrix into three groups: the first group con‐
tains non-zero entries only at and above NL, the second contains
non-zero entries only below NL+2, and the third is dense.
COLTYP (workspace/output) INTEGER array, dimension(N) As
workspace, this will contain a label which will indicate which
of the following types a column in the U2 matrix or a row in the
VT2 matrix is:
1 : non-zero in the upper half only
2 : non-zero in the lower half only
3 : dense
4 : deflated
On exit, it is an array of dimension 4, with COLTYP(I) being the
dimension of the I-th type columns.
IDXQ (input) INTEGER array, dimension(N)
This contains the permutation which separately sorts the two
sub-problems in D into ascending order. Note that entries in
the first hlaf of this permutation must first be moved one posi‐
tion backward; and entries in the second half must first have
NL+1 added to their values.
INFO (output) INTEGER
= 0: successful exit.
< 0: if INFO = -i, the i-th argument had an illegal value.
FURTHER DETAILS
Based on contributions by
Ming Gu and Huan Ren, Computer Science Division, University of
California at Berkeley, USA
LAPACK version 3.0 15 June 2000 DLASD2(l)