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lasd2(3) Library Functions Manual lasd2(3)

NAME

lasd2 - lasd2: D&C step: deflation

SYNOPSIS

Functions


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)
DLASD2 merges the two sets of singular values together into a single sorted set. Used by sbdsdc. subroutine SLASD2 (nl, nr, sqre, k, d, z, alpha, beta, u, ldu, vt, ldvt, dsigma, u2, ldu2, vt2, ldvt2, idxp, idx, idxc, idxq, coltyp, info)
SLASD2 merges the two sets of singular values together into a single sorted set. Used by sbdsdc.

Detailed Description

Function Documentation

subroutine DLASD2 (integer nl, integer nr, integer sqre, integer k, double precision, dimension( * ) d, double precision, dimension( * ) z, double precision alpha, double precision beta, double precision, dimension( ldu, * ) u, integer ldu, double precision, dimension( ldvt, * ) vt, integer ldvt, double precision, dimension( * ) dsigma, double precision, dimension( ldu2, * ) u2, integer ldu2, double precision, dimension( ldvt2, * ) vt2, integer ldvt2, integer, dimension( * ) idxp, integer, dimension( * ) idx, integer, dimension( * ) idxc, integer, dimension( * ) idxq, integer, dimension( * ) coltyp, integer info)

DLASD2 merges the two sets of singular values together into a single sorted set. Used by sbdsdc.

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 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.
!> 

Parameters

NL

!>          NL is INTEGER
!>         The row dimension of the upper block.  NL >= 1.
!> 

NR

!>          NR is INTEGER
!>         The row dimension of the lower block.  NR >= 1.
!> 

SQRE

!>          SQRE is 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

!>          K is INTEGER
!>         Contains the dimension of the non-deflated matrix,
!>         This is the order of the related secular equation. 1 <= K <=N.
!> 

D

!>          D is 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
!>         increasing order.
!> 

Z

!>          Z is DOUBLE PRECISION array, dimension(N)
!>         On exit Z contains the updating row vector in the secular
!>         equation.
!> 

ALPHA

!>          ALPHA is DOUBLE PRECISION
!>         Contains the diagonal element associated with the added row.
!> 

BETA

!>          BETA is DOUBLE PRECISION
!>         Contains the off-diagonal element associated with the added
!>         row.
!> 

U

!>          U is 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

!>          LDU is INTEGER
!>         The leading dimension of the array U.  LDU >= N.
!> 

VT

!>          VT is DOUBLE PRECISION array, dimension(LDVT,M)
!>         On entry VT**T 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**T 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

!>          LDVT is INTEGER
!>         The leading dimension of the array VT.  LDVT >= M.
!> 

DSIGMA

!>          DSIGMA is DOUBLE PRECISION array, dimension (N)
!>         Contains a copy of the diagonal elements (K-1 singular values
!>         and one zero) in the secular equation.
!> 

U2

!>          U2 is 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 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

!>          LDU2 is INTEGER
!>         The leading dimension of the array U2.  LDU2 >= N.
!> 

VT2

!>          VT2 is DOUBLE PRECISION array, dimension(LDVT2,N)
!>         VT2**T 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

!>          LDVT2 is INTEGER
!>         The leading dimension of the array VT2.  LDVT2 >= M.
!> 

IDXP

!>          IDXP is 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

!>          IDX is INTEGER array, dimension(N)
!>         This will contain the permutation used to sort the contents of
!>         D into ascending order.
!> 

IDXC

!>          IDXC is 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.
!> 

IDXQ

!>          IDXQ is 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.
!> 

COLTYP

!>          COLTYP is 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.
!> 

INFO

!>          INFO is INTEGER
!>          = 0:  successful exit.
!>          < 0:  if INFO = -i, the i-th argument had an illegal value.
!> 

Author

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Contributors:

Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 266 of file dlasd2.f.

subroutine SLASD2 (integer nl, integer nr, integer sqre, integer k, real, dimension( * ) d, real, dimension( * ) z, real alpha, real beta, real, dimension( ldu, * ) u, integer ldu, real, dimension( ldvt, * ) vt, integer ldvt, real, dimension( * ) dsigma, real, dimension( ldu2, * ) u2, integer ldu2, real, dimension( ldvt2, * ) vt2, integer ldvt2, integer, dimension( * ) idxp, integer, dimension( * ) idx, integer, dimension( * ) idxc, integer, dimension( * ) idxq, integer, dimension( * ) coltyp, integer info)

SLASD2 merges the two sets of singular values together into a single sorted set. Used by sbdsdc.

Purpose:

!>
!> SLASD2 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 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.
!>
!> SLASD2 is called from SLASD1.
!> 

Parameters

NL

!>          NL is INTEGER
!>         The row dimension of the upper block.  NL >= 1.
!> 

NR

!>          NR is INTEGER
!>         The row dimension of the lower block.  NR >= 1.
!> 

SQRE

!>          SQRE is 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

!>          K is INTEGER
!>         Contains the dimension of the non-deflated matrix,
!>         This is the order of the related secular equation. 1 <= K <=N.
!> 

D

!>          D is REAL 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
!>         increasing order.
!> 

Z

!>          Z is REAL array, dimension (N)
!>         On exit Z contains the updating row vector in the secular
!>         equation.
!> 

ALPHA

!>          ALPHA is REAL
!>         Contains the diagonal element associated with the added row.
!> 

BETA

!>          BETA is REAL
!>         Contains the off-diagonal element associated with the added
!>         row.
!> 

U

!>          U is REAL 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

!>          LDU is INTEGER
!>         The leading dimension of the array U.  LDU >= N.
!> 

VT

!>          VT is REAL array, dimension (LDVT,M)
!>         On entry VT**T 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**T 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

!>          LDVT is INTEGER
!>         The leading dimension of the array VT.  LDVT >= M.
!> 

DSIGMA

!>          DSIGMA is REAL array, dimension (N)
!>         Contains a copy of the diagonal elements (K-1 singular values
!>         and one zero) in the secular equation.
!> 

U2

!>          U2 is REAL array, dimension (LDU2,N)
!>         Contains a copy of the first K-1 left singular vectors which
!>         will be used by SLASD3 in a matrix multiply (SGEMM) 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

!>          LDU2 is INTEGER
!>         The leading dimension of the array U2.  LDU2 >= N.
!> 

VT2

!>          VT2 is REAL array, dimension (LDVT2,N)
!>         VT2**T contains a copy of the first K right singular vectors
!>         which will be used by SLASD3 in a matrix multiply (SGEMM) 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

!>          LDVT2 is INTEGER
!>         The leading dimension of the array VT2.  LDVT2 >= M.
!> 

IDXP

!>          IDXP is 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

!>          IDX is INTEGER array, dimension (N)
!>         This will contain the permutation used to sort the contents of
!>         D into ascending order.
!> 

IDXC

!>          IDXC is 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.
!> 

IDXQ

!>          IDXQ is 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.
!> 

COLTYP

!>          COLTYP is 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.
!> 

INFO

!>          INFO is INTEGER
!>          = 0:  successful exit.
!>          < 0:  if INFO = -i, the i-th argument had an illegal value.
!> 

Author

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Contributors:

Ming Gu and Huan Ren, Computer Science Division, University of California at Berkeley, USA

Definition at line 266 of file slasd2.f.

Author

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