Files
lapack/SRC/dgetsls.f
T
Julie e18d437924 Making LAPACK's code eternal... no more version and date in source files.
GitHub is now enabling us to track accurately version and date.
No need for this anymore.
2021-03-25 10:16:58 -07:00

494 lines
14 KiB
FortranFixed

*> \brief \b DGETSLS
*
* Definition:
* ===========
*
* SUBROUTINE DGETSLS( TRANS, M, N, NRHS, A, LDA, B, LDB,
* $ WORK, LWORK, INFO )
*
* .. Scalar Arguments ..
* CHARACTER TRANS
* INTEGER INFO, LDA, LDB, LWORK, M, N, NRHS
* ..
* .. Array Arguments ..
* DOUBLE PRECISION A( LDA, * ), B( LDB, * ), WORK( * )
* ..
*
*
*> \par Purpose:
* =============
*>
*> \verbatim
*>
*> DGETSLS solves overdetermined or underdetermined real linear systems
*> involving an M-by-N matrix A, using a tall skinny QR or short wide LQ
*> factorization of A. It is assumed that A has full rank.
*>
*>
*>
*> The following options are provided:
*>
*> 1. If TRANS = 'N' and m >= n: find the least squares solution of
*> an overdetermined system, i.e., solve the least squares problem
*> minimize || B - A*X ||.
*>
*> 2. If TRANS = 'N' and m < n: find the minimum norm solution of
*> an underdetermined system A * X = B.
*>
*> 3. If TRANS = 'T' and m >= n: find the minimum norm solution of
*> an undetermined system A**T * X = B.
*>
*> 4. If TRANS = 'T' and m < n: find the least squares solution of
*> an overdetermined system, i.e., solve the least squares problem
*> minimize || B - A**T * X ||.
*>
*> Several right hand side vectors b and solution vectors x can be
*> handled in a single call; they are stored as the columns of the
*> M-by-NRHS right hand side matrix B and the N-by-NRHS solution
*> matrix X.
*> \endverbatim
*
* Arguments:
* ==========
*
*> \param[in] TRANS
*> \verbatim
*> TRANS is CHARACTER*1
*> = 'N': the linear system involves A;
*> = 'T': the linear system involves A**T.
*> \endverbatim
*>
*> \param[in] M
*> \verbatim
*> M is INTEGER
*> The number of rows of the matrix A. M >= 0.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*> N is INTEGER
*> The number of columns of the matrix A. N >= 0.
*> \endverbatim
*>
*> \param[in] NRHS
*> \verbatim
*> NRHS is INTEGER
*> The number of right hand sides, i.e., the number of
*> columns of the matrices B and X. NRHS >=0.
*> \endverbatim
*>
*> \param[in,out] A
*> \verbatim
*> A is DOUBLE PRECISION array, dimension (LDA,N)
*> On entry, the M-by-N matrix A.
*> On exit,
*> A is overwritten by details of its QR or LQ
*> factorization as returned by DGEQR or DGELQ.
*> \endverbatim
*>
*> \param[in] LDA
*> \verbatim
*> LDA is INTEGER
*> The leading dimension of the array A. LDA >= max(1,M).
*> \endverbatim
*>
*> \param[in,out] B
*> \verbatim
*> B is DOUBLE PRECISION array, dimension (LDB,NRHS)
*> On entry, the matrix B of right hand side vectors, stored
*> columnwise; B is M-by-NRHS if TRANS = 'N', or N-by-NRHS
*> if TRANS = 'T'.
*> On exit, if INFO = 0, B is overwritten by the solution
*> vectors, stored columnwise:
*> if TRANS = 'N' and m >= n, rows 1 to n of B contain the least
*> squares solution vectors.
*> if TRANS = 'N' and m < n, rows 1 to N of B contain the
*> minimum norm solution vectors;
*> if TRANS = 'T' and m >= n, rows 1 to M of B contain the
*> minimum norm solution vectors;
*> if TRANS = 'T' and m < n, rows 1 to M of B contain the
*> least squares solution vectors.
*> \endverbatim
*>
*> \param[in] LDB
*> \verbatim
*> LDB is INTEGER
*> The leading dimension of the array B. LDB >= MAX(1,M,N).
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*> (workspace) DOUBLE PRECISION array, dimension (MAX(1,LWORK))
*> On exit, if INFO = 0, WORK(1) contains optimal (or either minimal
*> or optimal, if query was assumed) LWORK.
*> See LWORK for details.
*> \endverbatim
*>
*> \param[in] LWORK
*> \verbatim
*> LWORK is INTEGER
*> The dimension of the array WORK.
*> If LWORK = -1 or -2, then a workspace query is assumed.
*> If LWORK = -1, the routine calculates optimal size of WORK for the
*> optimal performance and returns this value in WORK(1).
*> If LWORK = -2, the routine calculates minimal size of WORK and
*> returns this value in WORK(1).
*> \endverbatim
*>
*> \param[out] INFO
*> \verbatim
*> INFO is INTEGER
*> = 0: successful exit
*> < 0: if INFO = -i, the i-th argument had an illegal value
*> > 0: if INFO = i, the i-th diagonal element of the
*> triangular factor of A is zero, so that A does not have
*> full rank; the least squares solution could not be
*> computed.
*> \endverbatim
*
* Authors:
* ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \ingroup doubleGEsolve
*
* =====================================================================
SUBROUTINE DGETSLS( TRANS, M, N, NRHS, A, LDA, B, LDB,
$ WORK, LWORK, INFO )
*
* -- LAPACK driver routine --
* -- LAPACK is a software package provided by Univ. of Tennessee, --
* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*
* .. Scalar Arguments ..
CHARACTER TRANS
INTEGER INFO, LDA, LDB, LWORK, M, N, NRHS
* ..
* .. Array Arguments ..
DOUBLE PRECISION A( LDA, * ), B( LDB, * ), WORK( * )
*
* ..
*
* =====================================================================
*
* .. Parameters ..
DOUBLE PRECISION ZERO, ONE
PARAMETER ( ZERO = 0.0D0, ONE = 1.0D0 )
* ..
* .. Local Scalars ..
LOGICAL LQUERY, TRAN
INTEGER I, IASCL, IBSCL, J, MINMN, MAXMN, BROW,
$ SCLLEN, MNK, TSZO, TSZM, LWO, LWM, LW1, LW2,
$ WSIZEO, WSIZEM, INFO2
DOUBLE PRECISION ANRM, BIGNUM, BNRM, SMLNUM, TQ( 5 ), WORKQ( 1 )
* ..
* .. External Functions ..
LOGICAL LSAME
INTEGER ILAENV
DOUBLE PRECISION DLAMCH, DLANGE
EXTERNAL LSAME, ILAENV, DLABAD, DLAMCH, DLANGE
* ..
* .. External Subroutines ..
EXTERNAL DGEQR, DGEMQR, DLASCL, DLASET,
$ DTRTRS, XERBLA, DGELQ, DGEMLQ
* ..
* .. Intrinsic Functions ..
INTRINSIC DBLE, MAX, MIN, INT
* ..
* .. Executable Statements ..
*
* Test the input arguments.
*
INFO = 0
MINMN = MIN( M, N )
MAXMN = MAX( M, N )
MNK = MAX( MINMN, NRHS )
TRAN = LSAME( TRANS, 'T' )
*
LQUERY = ( LWORK.EQ.-1 .OR. LWORK.EQ.-2 )
IF( .NOT.( LSAME( TRANS, 'N' ) .OR.
$ LSAME( TRANS, 'T' ) ) ) THEN
INFO = -1
ELSE IF( M.LT.0 ) THEN
INFO = -2
ELSE IF( N.LT.0 ) THEN
INFO = -3
ELSE IF( NRHS.LT.0 ) THEN
INFO = -4
ELSE IF( LDA.LT.MAX( 1, M ) ) THEN
INFO = -6
ELSE IF( LDB.LT.MAX( 1, M, N ) ) THEN
INFO = -8
END IF
*
IF( INFO.EQ.0 ) THEN
*
* Determine the block size and minimum LWORK
*
IF( M.GE.N ) THEN
CALL DGEQR( M, N, A, LDA, TQ, -1, WORKQ, -1, INFO2 )
TSZO = INT( TQ( 1 ) )
LWO = INT( WORKQ( 1 ) )
CALL DGEMQR( 'L', TRANS, M, NRHS, N, A, LDA, TQ,
$ TSZO, B, LDB, WORKQ, -1, INFO2 )
LWO = MAX( LWO, INT( WORKQ( 1 ) ) )
CALL DGEQR( M, N, A, LDA, TQ, -2, WORKQ, -2, INFO2 )
TSZM = INT( TQ( 1 ) )
LWM = INT( WORKQ( 1 ) )
CALL DGEMQR( 'L', TRANS, M, NRHS, N, A, LDA, TQ,
$ TSZM, B, LDB, WORKQ, -1, INFO2 )
LWM = MAX( LWM, INT( WORKQ( 1 ) ) )
WSIZEO = TSZO + LWO
WSIZEM = TSZM + LWM
ELSE
CALL DGELQ( M, N, A, LDA, TQ, -1, WORKQ, -1, INFO2 )
TSZO = INT( TQ( 1 ) )
LWO = INT( WORKQ( 1 ) )
CALL DGEMLQ( 'L', TRANS, N, NRHS, M, A, LDA, TQ,
$ TSZO, B, LDB, WORKQ, -1, INFO2 )
LWO = MAX( LWO, INT( WORKQ( 1 ) ) )
CALL DGELQ( M, N, A, LDA, TQ, -2, WORKQ, -2, INFO2 )
TSZM = INT( TQ( 1 ) )
LWM = INT( WORKQ( 1 ) )
CALL DGEMLQ( 'L', TRANS, N, NRHS, M, A, LDA, TQ,
$ TSZM, B, LDB, WORKQ, -1, INFO2 )
LWM = MAX( LWM, INT( WORKQ( 1 ) ) )
WSIZEO = TSZO + LWO
WSIZEM = TSZM + LWM
END IF
*
IF( ( LWORK.LT.WSIZEM ).AND.( .NOT.LQUERY ) ) THEN
INFO = -10
END IF
*
END IF
*
IF( INFO.NE.0 ) THEN
CALL XERBLA( 'DGETSLS', -INFO )
WORK( 1 ) = DBLE( WSIZEO )
RETURN
END IF
IF( LQUERY ) THEN
IF( LWORK.EQ.-1 ) WORK( 1 ) = REAL( WSIZEO )
IF( LWORK.EQ.-2 ) WORK( 1 ) = REAL( WSIZEM )
RETURN
END IF
IF( LWORK.LT.WSIZEO ) THEN
LW1 = TSZM
LW2 = LWM
ELSE
LW1 = TSZO
LW2 = LWO
END IF
*
* Quick return if possible
*
IF( MIN( M, N, NRHS ).EQ.0 ) THEN
CALL DLASET( 'FULL', MAX( M, N ), NRHS, ZERO, ZERO,
$ B, LDB )
RETURN
END IF
*
* Get machine parameters
*
SMLNUM = DLAMCH( 'S' ) / DLAMCH( 'P' )
BIGNUM = ONE / SMLNUM
CALL DLABAD( SMLNUM, BIGNUM )
*
* Scale A, B if max element outside range [SMLNUM,BIGNUM]
*
ANRM = DLANGE( 'M', M, N, A, LDA, WORK )
IASCL = 0
IF( ANRM.GT.ZERO .AND. ANRM.LT.SMLNUM ) THEN
*
* Scale matrix norm up to SMLNUM
*
CALL DLASCL( 'G', 0, 0, ANRM, SMLNUM, M, N, A, LDA, INFO )
IASCL = 1
ELSE IF( ANRM.GT.BIGNUM ) THEN
*
* Scale matrix norm down to BIGNUM
*
CALL DLASCL( 'G', 0, 0, ANRM, BIGNUM, M, N, A, LDA, INFO )
IASCL = 2
ELSE IF( ANRM.EQ.ZERO ) THEN
*
* Matrix all zero. Return zero solution.
*
CALL DLASET( 'F', MAXMN, NRHS, ZERO, ZERO, B, LDB )
GO TO 50
END IF
*
BROW = M
IF ( TRAN ) THEN
BROW = N
END IF
BNRM = DLANGE( 'M', BROW, NRHS, B, LDB, WORK )
IBSCL = 0
IF( BNRM.GT.ZERO .AND. BNRM.LT.SMLNUM ) THEN
*
* Scale matrix norm up to SMLNUM
*
CALL DLASCL( 'G', 0, 0, BNRM, SMLNUM, BROW, NRHS, B, LDB,
$ INFO )
IBSCL = 1
ELSE IF( BNRM.GT.BIGNUM ) THEN
*
* Scale matrix norm down to BIGNUM
*
CALL DLASCL( 'G', 0, 0, BNRM, BIGNUM, BROW, NRHS, B, LDB,
$ INFO )
IBSCL = 2
END IF
*
IF ( M.GE.N ) THEN
*
* compute QR factorization of A
*
CALL DGEQR( M, N, A, LDA, WORK( LW2+1 ), LW1,
$ WORK( 1 ), LW2, INFO )
IF ( .NOT.TRAN ) THEN
*
* Least-Squares Problem min || A * X - B ||
*
* B(1:M,1:NRHS) := Q**T * B(1:M,1:NRHS)
*
CALL DGEMQR( 'L' , 'T', M, NRHS, N, A, LDA,
$ WORK( LW2+1 ), LW1, B, LDB, WORK( 1 ), LW2,
$ INFO )
*
* B(1:N,1:NRHS) := inv(R) * B(1:N,1:NRHS)
*
CALL DTRTRS( 'U', 'N', 'N', N, NRHS,
$ A, LDA, B, LDB, INFO )
IF( INFO.GT.0 ) THEN
RETURN
END IF
SCLLEN = N
ELSE
*
* Overdetermined system of equations A**T * X = B
*
* B(1:N,1:NRHS) := inv(R**T) * B(1:N,1:NRHS)
*
CALL DTRTRS( 'U', 'T', 'N', N, NRHS,
$ A, LDA, B, LDB, INFO )
*
IF( INFO.GT.0 ) THEN
RETURN
END IF
*
* B(N+1:M,1:NRHS) = ZERO
*
DO 20 J = 1, NRHS
DO 10 I = N + 1, M
B( I, J ) = ZERO
10 CONTINUE
20 CONTINUE
*
* B(1:M,1:NRHS) := Q(1:N,:) * B(1:N,1:NRHS)
*
CALL DGEMQR( 'L', 'N', M, NRHS, N, A, LDA,
$ WORK( LW2+1 ), LW1, B, LDB, WORK( 1 ), LW2,
$ INFO )
*
SCLLEN = M
*
END IF
*
ELSE
*
* Compute LQ factorization of A
*
CALL DGELQ( M, N, A, LDA, WORK( LW2+1 ), LW1,
$ WORK( 1 ), LW2, INFO )
*
* workspace at least M, optimally M*NB.
*
IF( .NOT.TRAN ) THEN
*
* underdetermined system of equations A * X = B
*
* B(1:M,1:NRHS) := inv(L) * B(1:M,1:NRHS)
*
CALL DTRTRS( 'L', 'N', 'N', M, NRHS,
$ A, LDA, B, LDB, INFO )
*
IF( INFO.GT.0 ) THEN
RETURN
END IF
*
* B(M+1:N,1:NRHS) = 0
*
DO 40 J = 1, NRHS
DO 30 I = M + 1, N
B( I, J ) = ZERO
30 CONTINUE
40 CONTINUE
*
* B(1:N,1:NRHS) := Q(1:N,:)**T * B(1:M,1:NRHS)
*
CALL DGEMLQ( 'L', 'T', N, NRHS, M, A, LDA,
$ WORK( LW2+1 ), LW1, B, LDB, WORK( 1 ), LW2,
$ INFO )
*
* workspace at least NRHS, optimally NRHS*NB
*
SCLLEN = N
*
ELSE
*
* overdetermined system min || A**T * X - B ||
*
* B(1:N,1:NRHS) := Q * B(1:N,1:NRHS)
*
CALL DGEMLQ( 'L', 'N', N, NRHS, M, A, LDA,
$ WORK( LW2+1 ), LW1, B, LDB, WORK( 1 ), LW2,
$ INFO )
*
* workspace at least NRHS, optimally NRHS*NB
*
* B(1:M,1:NRHS) := inv(L**T) * B(1:M,1:NRHS)
*
CALL DTRTRS( 'Lower', 'Transpose', 'Non-unit', M, NRHS,
$ A, LDA, B, LDB, INFO )
*
IF( INFO.GT.0 ) THEN
RETURN
END IF
*
SCLLEN = M
*
END IF
*
END IF
*
* Undo scaling
*
IF( IASCL.EQ.1 ) THEN
CALL DLASCL( 'G', 0, 0, ANRM, SMLNUM, SCLLEN, NRHS, B, LDB,
$ INFO )
ELSE IF( IASCL.EQ.2 ) THEN
CALL DLASCL( 'G', 0, 0, ANRM, BIGNUM, SCLLEN, NRHS, B, LDB,
$ INFO )
END IF
IF( IBSCL.EQ.1 ) THEN
CALL DLASCL( 'G', 0, 0, SMLNUM, BNRM, SCLLEN, NRHS, B, LDB,
$ INFO )
ELSE IF( IBSCL.EQ.2 ) THEN
CALL DLASCL( 'G', 0, 0, BIGNUM, BNRM, SCLLEN, NRHS, B, LDB,
$ INFO )
END IF
*
50 CONTINUE
WORK( 1 ) = DBLE( TSZO + LWO )
RETURN
*
* End of DGETSLS
*
END