dlasd2(3)

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 in
to 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 values 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 in
to increasing 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, dimen
sion(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 trail
ing (N-K) updated left singular vectors (those which were deflat
ed) 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 equation.
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 vec
tors 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
everywhere 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, dimen
sion(LDVT,M)
On entry VT' contains the right singular vectors of
two submatrices 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
trailing (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 con
tains non-zeros only at and before NL +1; the third block con
tains 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 de
flated 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 contains 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, dimen
sion(N) As workspace, this will contain a label which will indi
cate 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 position 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 ille
gal value.

FURTHER DETAILS

Based on contributions by
Ming Gu and Huan Ren, Computer Science Division, Uni
versity of
California at Berkeley, USA
LAPACK version 3.0 15 June 2000
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