table of contents
/home/abuild/rpmbuild/BUILD/lapack-3.12.0/SRC/clals0.f(3) | Library Functions Manual | /home/abuild/rpmbuild/BUILD/lapack-3.12.0/SRC/clals0.f(3) |
NAME¶
/home/abuild/rpmbuild/BUILD/lapack-3.12.0/SRC/clals0.f
SYNOPSIS¶
Functions/Subroutines¶
subroutine CLALS0 (icompq, nl, nr, sqre, nrhs, b, ldb, bx,
ldbx, perm, givptr, givcol, ldgcol, givnum, ldgnum, poles, difl, difr, z, k,
c, s, rwork, info)
CLALS0 applies back multiplying factors in solving the least squares
problem using divide and conquer SVD approach. Used by sgelsd.
Function/Subroutine Documentation¶
subroutine CLALS0 (integer icompq, integer nl, integer nr, integer sqre, integer nrhs, complex, dimension( ldb, * ) b, integer ldb, complex, dimension( ldbx, * ) bx, integer ldbx, integer, dimension( * ) perm, integer givptr, integer, dimension( ldgcol, * ) givcol, integer ldgcol, real, dimension( ldgnum, * ) givnum, integer ldgnum, real, dimension( ldgnum, * ) poles, real, dimension( * ) difl, real, dimension( ldgnum, * ) difr, real, dimension( * ) z, integer k, real c, real s, real, dimension( * ) rwork, integer info)¶
CLALS0 applies back multiplying factors in solving the least squares problem using divide and conquer SVD approach. Used by sgelsd.
Purpose:
!> !> CLALS0 applies back the multiplying factors of either the left or the !> right singular vector matrix of a diagonal matrix appended by a row !> to the right hand side matrix B in solving the least squares problem !> using the divide-and-conquer SVD approach. !> !> For the left singular vector matrix, three types of orthogonal !> matrices are involved: !> !> (1L) Givens rotations: the number of such rotations is GIVPTR; the !> pairs of columns/rows they were applied to are stored in GIVCOL; !> and the C- and S-values of these rotations are stored in GIVNUM. !> !> (2L) Permutation. The (NL+1)-st row of B is to be moved to the first !> row, and for J=2:N, PERM(J)-th row of B is to be moved to the !> J-th row. !> !> (3L) The left singular vector matrix of the remaining matrix. !> !> For the right singular vector matrix, four types of orthogonal !> matrices are involved: !> !> (1R) The right singular vector matrix of the remaining matrix. !> !> (2R) If SQRE = 1, one extra Givens rotation to generate the right !> null space. !> !> (3R) The inverse transformation of (2L). !> !> (4R) The inverse transformation of (1L). !>
Parameters
!> ICOMPQ is INTEGER !> Specifies whether singular vectors are to be computed in !> factored form: !> = 0: Left singular vector matrix. !> = 1: Right singular vector matrix. !>
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 row dimension N = NL + NR + 1, !> and column dimension M = N + SQRE. !>
NRHS
!> NRHS is INTEGER !> The number of columns of B and BX. NRHS must be at least 1. !>
B
!> B is COMPLEX array, dimension ( LDB, NRHS ) !> On input, B contains the right hand sides of the least !> squares problem in rows 1 through M. On output, B contains !> the solution X in rows 1 through N. !>
LDB
!> LDB is INTEGER !> The leading dimension of B. LDB must be at least !> max(1,MAX( M, N ) ). !>
BX
!> BX is COMPLEX array, dimension ( LDBX, NRHS ) !>
LDBX
!> LDBX is INTEGER !> The leading dimension of BX. !>
PERM
!> PERM is INTEGER array, dimension ( N ) !> The permutations (from deflation and sorting) applied !> to the two blocks. !>
GIVPTR
!> GIVPTR is INTEGER !> The number of Givens rotations which took place in this !> subproblem. !>
GIVCOL
!> GIVCOL is INTEGER array, dimension ( LDGCOL, 2 ) !> Each pair of numbers indicates a pair of rows/columns !> involved in a Givens rotation. !>
LDGCOL
!> LDGCOL is INTEGER !> The leading dimension of GIVCOL, must be at least N. !>
GIVNUM
!> GIVNUM is REAL array, dimension ( LDGNUM, 2 ) !> Each number indicates the C or S value used in the !> corresponding Givens rotation. !>
LDGNUM
!> LDGNUM is INTEGER !> The leading dimension of arrays DIFR, POLES and !> GIVNUM, must be at least K. !>
POLES
!> POLES is REAL array, dimension ( LDGNUM, 2 ) !> On entry, POLES(1:K, 1) contains the new singular !> values obtained from solving the secular equation, and !> POLES(1:K, 2) is an array containing the poles in the secular !> equation. !>
DIFL
!> DIFL is REAL array, dimension ( K ). !> On entry, DIFL(I) is the distance between I-th updated !> (undeflated) singular value and the I-th (undeflated) old !> singular value. !>
DIFR
!> DIFR is REAL array, dimension ( LDGNUM, 2 ). !> On entry, DIFR(I, 1) contains the distances between I-th !> updated (undeflated) singular value and the I+1-th !> (undeflated) old singular value. And DIFR(I, 2) is the !> normalizing factor for the I-th right singular vector. !>
Z
!> Z is REAL array, dimension ( K ) !> Contain the components of the deflation-adjusted updating row !> vector. !>
K
!> K is INTEGER !> Contains the dimension of the non-deflated matrix, !> This is the order of the related secular equation. 1 <= K <=N. !>
C
!> C is REAL !> C contains garbage if SQRE =0 and the C-value of a Givens !> rotation related to the right null space if SQRE = 1. !>
S
!> S is REAL !> S contains garbage if SQRE =0 and the S-value of a Givens !> rotation related to the right null space if SQRE = 1. !>
RWORK
!> RWORK is REAL array, dimension !> ( K*(1+NRHS) + 2*NRHS ) !>
INFO
!> INFO is INTEGER !> = 0: successful exit. !> < 0: if INFO = -i, the i-th argument had an illegal value. !>
Author
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Contributors:
Osni Marques, LBNL/NERSC, USA
Definition at line 267 of file clals0.f.
Author¶
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