sggsvp.f

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*> \brief \b SGGSVP
*
*  =========== DOCUMENTATION ===========
*
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*
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*
*  Definition:
*  ===========
*
*       SUBROUTINE SGGSVP( JOBU, JOBV, JOBQ, M, P, N, A, LDA, B, LDB,
*                          TOLA, TOLB, K, L, U, LDU, V, LDV, Q, LDQ,
*                          IWORK, TAU, WORK, INFO )
*
*       .. Scalar Arguments ..
*       CHARACTER          JOBQ, JOBU, JOBV
*       INTEGER            INFO, K, L, LDA, LDB, LDQ, LDU, LDV, M, N, P
*       REAL               TOLA, TOLB
*       ..
*       .. Array Arguments ..
*       INTEGER            IWORK( * )
*       REAL               A( LDA, * ), B( LDB, * ), Q( LDQ, * ),
*      $                   TAU( * ), U( LDU, * ), V( LDV, * ), WORK( * )
*       ..
*
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> This routine is deprecated and has been replaced by routine SGGSVP3.
*>
*> SGGSVP computes orthogonal matrices U, V and Q such that
*>
*>                    N-K-L  K    L
*>  U**T*A*Q =     K ( 0    A12  A13 )  if M-K-L >= 0;
*>                 L ( 0     0   A23 )
*>             M-K-L ( 0     0    0  )
*>
*>                  N-K-L  K    L
*>         =     K ( 0    A12  A13 )  if M-K-L < 0;
*>             M-K ( 0     0   A23 )
*>
*>                  N-K-L  K    L
*>  V**T*B*Q =   L ( 0     0   B13 )
*>             P-L ( 0     0    0  )
*>
*> where the K-by-K matrix A12 and L-by-L matrix B13 are nonsingular
*> upper triangular; A23 is L-by-L upper triangular if M-K-L >= 0,
*> otherwise A23 is (M-K)-by-L upper trapezoidal.  K+L = the effective
*> numerical rank of the (M+P)-by-N matrix (A**T,B**T)**T.
*>
*> This decomposition is the preprocessing step for computing the
*> Generalized Singular Value Decomposition (GSVD), see subroutine
*> SGGSVD.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] JOBU
*> \verbatim
*>          JOBU is CHARACTER*1
*>          = 'U':  Orthogonal matrix U is computed;
*>          = 'N':  U is not computed.
*> \endverbatim
*>
*> \param[in] JOBV
*> \verbatim
*>          JOBV is CHARACTER*1
*>          = 'V':  Orthogonal matrix V is computed;
*>          = 'N':  V is not computed.
*> \endverbatim
*>
*> \param[in] JOBQ
*> \verbatim
*>          JOBQ is CHARACTER*1
*>          = 'Q':  Orthogonal matrix Q is computed;
*>          = 'N':  Q is not computed.
*> \endverbatim
*>
*> \param[in] M
*> \verbatim
*>          M is INTEGER
*>          The number of rows of the matrix A.  M >= 0.
*> \endverbatim
*>
*> \param[in] P
*> \verbatim
*>          P is INTEGER
*>          The number of rows of the matrix B.  P >= 0.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*>          N is INTEGER
*>          The number of columns of the matrices A and B.  N >= 0.
*> \endverbatim
*>
*> \param[in,out] A
*> \verbatim
*>          A is REAL array, dimension (LDA,N)
*>          On entry, the M-by-N matrix A.
*>          On exit, A contains the triangular (or trapezoidal) matrix
*>          described in the Purpose section.
*> \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 REAL array, dimension (LDB,N)
*>          On entry, the P-by-N matrix B.
*>          On exit, B contains the triangular matrix described in
*>          the Purpose section.
*> \endverbatim
*>
*> \param[in] LDB
*> \verbatim
*>          LDB is INTEGER
*>          The leading dimension of the array B. LDB >= max(1,P).
*> \endverbatim
*>
*> \param[in] TOLA
*> \verbatim
*>          TOLA is REAL
*> \endverbatim
*>
*> \param[in] TOLB
*> \verbatim
*>          TOLB is REAL
*>
*>          TOLA and TOLB are the thresholds to determine the effective
*>          numerical rank of matrix B and a subblock of A. Generally,
*>          they are set to
*>             TOLA = MAX(M,N)*norm(A)*MACHEPS,
*>             TOLB = MAX(P,N)*norm(B)*MACHEPS.
*>          The size of TOLA and TOLB may affect the size of backward
*>          errors of the decomposition.
*> \endverbatim
*>
*> \param[out] K
*> \verbatim
*>          K is INTEGER
*> \endverbatim
*>
*> \param[out] L
*> \verbatim
*>          L is INTEGER
*>
*>          On exit, K and L specify the dimension of the subblocks
*>          described in Purpose section.
*>          K + L = effective numerical rank of (A**T,B**T)**T.
*> \endverbatim
*>
*> \param[out] U
*> \verbatim
*>          U is REAL array, dimension (LDU,M)
*>          If JOBU = 'U', U contains the orthogonal matrix U.
*>          If JOBU = 'N', U is not referenced.
*> \endverbatim
*>
*> \param[in] LDU
*> \verbatim
*>          LDU is INTEGER
*>          The leading dimension of the array U. LDU >= max(1,M) if
*>          JOBU = 'U'; LDU >= 1 otherwise.
*> \endverbatim
*>
*> \param[out] V
*> \verbatim
*>          V is REAL array, dimension (LDV,P)
*>          If JOBV = 'V', V contains the orthogonal matrix V.
*>          If JOBV = 'N', V is not referenced.
*> \endverbatim
*>
*> \param[in] LDV
*> \verbatim
*>          LDV is INTEGER
*>          The leading dimension of the array V. LDV >= max(1,P) if
*>          JOBV = 'V'; LDV >= 1 otherwise.
*> \endverbatim
*>
*> \param[out] Q
*> \verbatim
*>          Q is REAL array, dimension (LDQ,N)
*>          If JOBQ = 'Q', Q contains the orthogonal matrix Q.
*>          If JOBQ = 'N', Q is not referenced.
*> \endverbatim
*>
*> \param[in] LDQ
*> \verbatim
*>          LDQ is INTEGER
*>          The leading dimension of the array Q. LDQ >= max(1,N) if
*>          JOBQ = 'Q'; LDQ >= 1 otherwise.
*> \endverbatim
*>
*> \param[out] IWORK
*> \verbatim
*>          IWORK is INTEGER array, dimension (N)
*> \endverbatim
*>
*> \param[out] TAU
*> \verbatim
*>          TAU is REAL array, dimension (N)
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*>          WORK is REAL array, dimension (max(3*N,M,P))
*> \endverbatim
*>
*> \param[out] INFO
*> \verbatim
*>          INFO is INTEGER
*>          = 0:  successful exit
*>          < 0:  if INFO = -i, the i-th argument had an illegal value.
*> \endverbatim
*
*  Authors:
*  ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \ingroup realOTHERcomputational
*
*> \par Further Details:
*  =====================
*>
*>  The subroutine uses LAPACK subroutine SGEQPF for the QR factorization
*>  with column pivoting to detect the effective numerical rank of the
*>  a matrix. It may be replaced by a better rank determination strategy.
*>
*  =====================================================================
      SUBROUTINE sggsvp( JOBU, JOBV, JOBQ, M, P, N, A, LDA, B, LDB,
     $                   TOLA, TOLB, K, L, U, LDU, V, LDV, Q, LDQ,
     $                   IWORK, TAU, WORK, INFO )
*
*  -- LAPACK computational 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          JOBQ, JOBU, JOBV
      INTEGER            INFO, K, L, LDA, LDB, LDQ, LDU, LDV, M, N, P
      REAL               TOLA, TOLB
*     ..
*     .. Array Arguments ..
      INTEGER            IWORK( * )
      REAL               A( LDA, * ), B( LDB, * ), Q( LDQ, * ),
     $                   tau( * ), u( ldu, * ), v( ldv, * ), work( * )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      REAL               ZERO, ONE
      PARAMETER          ( ZERO = 0.0e+0, one = 1.0e+0 )
*     ..
*     .. Local Scalars ..
      LOGICAL            FORWRD, WANTQ, WANTU, WANTV
      INTEGER            I, J
*     ..
*     .. External Functions ..
      LOGICAL            LSAME
      EXTERNAL           LSAME
*     ..
*     .. External Subroutines ..
      EXTERNAL           sgeqpf, sgeqr2, sgerq2, slacpy, slapmt, slaset,
     $                   sorg2r, sorm2r, sormr2, xerbla
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          abs, max, min
*     ..
*     .. Executable Statements ..
*
*     Test the input parameters
*
      wantu = lsame( jobu, 'U' )
      wantv = lsame( jobv, 'V' )
      wantq = lsame( jobq, 'Q' )
      forwrd = .true.
*
      info = 0
      IF( .NOT.( wantu .OR. lsame( jobu, 'N' ) ) ) THEN
         info = -1
      ELSE IF( .NOT.( wantv .OR. lsame( jobv, 'N' ) ) ) THEN
         info = -2
      ELSE IF( .NOT.( wantq .OR. lsame( jobq, 'N' ) ) ) THEN
         info = -3
      ELSE IF( m.LT.0 ) THEN
         info = -4
      ELSE IF( p.LT.0 ) THEN
         info = -5
      ELSE IF( n.LT.0 ) THEN
         info = -6
      ELSE IF( lda.LT.max( 1, m ) ) THEN
         info = -8
      ELSE IF( ldb.LT.max( 1, p ) ) THEN
         info = -10
      ELSE IF( ldu.LT.1 .OR. ( wantu .AND. ldu.LT.m ) ) THEN
         info = -16
      ELSE IF( ldv.LT.1 .OR. ( wantv .AND. ldv.LT.p ) ) THEN
         info = -18
      ELSE IF( ldq.LT.1 .OR. ( wantq .AND. ldq.LT.n ) ) THEN
         info = -20
      END IF
      IF( info.NE.0 ) THEN
         CALL xerbla( 'SGGSVP', -info )
         RETURN
      END IF
*
*     QR with column pivoting of B: B*P = V*( S11 S12 )
*                                           (  0   0  )
*
      DO 10 i = 1, n
         iwork( i ) = 0
   10 CONTINUE
      CALL sgeqpf( p, n, b, ldb, iwork, tau, work, info )
*
*     Update A := A*P
*
      CALL slapmt( forwrd, m, n, a, lda, iwork )
*
*     Determine the effective rank of matrix B.
*
      l = 0
      DO 20 i = 1, min( p, n )
         IF( abs( b( i, i ) ).GT.tolb )
     $      l = l + 1
   20 CONTINUE
*
      IF( wantv ) THEN
*
*        Copy the details of V, and form V.
*
         CALL slaset( 'Full', p, p, zero, zero, v, ldv )
         IF( p.GT.1 )
     $      CALL slacpy( 'Lower', p-1, n, b( 2, 1 ), ldb, v( 2, 1 ),
     $                   ldv )
         CALL sorg2r( p, p, min( p, n ), v, ldv, tau, work, info )
      END IF
*
*     Clean up B
*
      DO 40 j = 1, l - 1
         DO 30 i = j + 1, l
            b( i, j ) = zero
   30    CONTINUE
   40 CONTINUE
      IF( p.GT.l )
     $   CALL slaset( 'Full', p-l, n, zero, zero, b( l+1, 1 ), ldb )
*
      IF( wantq ) THEN
*
*        Set Q = I and Update Q := Q*P
*
         CALL slaset( 'Full', n, n, zero, one, q, ldq )
         CALL slapmt( forwrd, n, n, q, ldq, iwork )
      END IF
*
      IF( p.GE.l .AND. n.NE.l ) THEN
*
*        RQ factorization of (S11 S12): ( S11 S12 ) = ( 0 S12 )*Z
*
         CALL sgerq2( l, n, b, ldb, tau, work, info )
*
*        Update A := A*Z**T
*
         CALL sormr2( 'right', 'transpose', M, N, L, B, LDB, TAU, A,
     $                LDA, WORK, INFO )
*
         IF( WANTQ ) THEN
*
*           Update Q := Q*Z**T
*
            CALL SORMR2( 'right', 'transpose', N, N, L, B, LDB, TAU, Q,
     $                   LDQ, WORK, INFO )
         END IF
*
*        Clean up B
*
         CALL SLASET( 'full', L, N-L, ZERO, ZERO, B, LDB )
         DO 60 J = N - L + 1, N
            DO 50 I = J - N + L + 1, L
               B( I, J ) = ZERO
   50       CONTINUE
   60    CONTINUE
*
      END IF
*
*     Let              N-L     L
*                A = ( A11    A12 ) M,
*
*     then the following does the complete QR decomposition of A11:
*
*              A11 = U*(  0  T12 )*P1**T
*                      (  0   0  )
*
      DO 70 I = 1, N - L
         IWORK( I ) = 0
   70 CONTINUE
      CALL SGEQPF( M, N-L, A, LDA, IWORK, TAU, WORK, INFO )
*
*     Determine the effective rank of A11
*
      K = 0
      DO 80 I = 1, MIN( M, N-L )
.GT.         IF( ABS( A( I, I ) )TOLA )
     $      K = K + 1
   80 CONTINUE
*
*     Update A12 := U**T*A12, where A12 = A( 1:M, N-L+1:N )
*
      CALL SORM2R( 'left', 'Transpose', m, l, min( m, n-l ), a, lda,
     $             tau, a( 1, n-l+1 ), lda, work, info )
*
      IF( wantu ) THEN
*
*        Copy the details of U, and form U
*
         CALL slaset( 'Full', m, m, zero, zero, u, ldu )
         IF( m.GT.1 )
     $      CALL slacpy( 'Lower', m-1, n-l, a( 2, 1 ), lda, u( 2, 1 ),
     $                   ldu )
         CALL sorg2r( m, m, min( m, n-l ), u, ldu, tau, work, info )
      END IF
*
      IF( wantq ) THEN
*
*        Update Q( 1:N, 1:N-L )  = Q( 1:N, 1:N-L )*P1
*
         CALL slapmt( forwrd, n, n-l, q, ldq, iwork )
      END IF
*
*     Clean up A: set the strictly lower triangular part of
*     A(1:K, 1:K) = 0, and A( K+1:M, 1:N-L ) = 0.
*
      DO 100 j = 1, k - 1
         DO 90 i = j + 1, k
            a( i, j ) = zero
   90    CONTINUE
  100 CONTINUE
      IF( m.GT.k )
     $   CALL slaset( 'Full', m-k, n-l, zero, zero, a( k+1, 1 ), lda )
*
      IF( n-l.GT.k ) THEN
*
*        RQ factorization of ( T11 T12 ) = ( 0 T12 )*Z1
*
         CALL sgerq2( k, n-l, a, lda, tau, work, info )
*
         IF( wantq ) THEN
*
*           Update Q( 1:N,1:N-L ) = Q( 1:N,1:N-L )*Z1**T
*
            CALL sormr2( 'Right', 'Transpose', n, n-l, k, a, lda, tau,
     $                   q, ldq, work, info )
         END IF
*
*        Clean up A
*
         CALL slaset( 'Full', k, n-l-k, zero, zero, a, lda )
         DO 120 j = n - l - k + 1, n - l
            DO 110 i = j - n + l + k + 1, k
               a( i, j ) = zero
  110       CONTINUE
  120    CONTINUE
*
      END IF
*
      IF( m.GT.k ) THEN
*
*        QR factorization of A( K+1:M,N-L+1:N )
*
         CALL sgeqr2( m-k, l, a( k+1, n-l+1 ), lda, tau, work, info )
*
         IF( wantu ) THEN
*
*           Update U(:,K+1:M) := U(:,K+1:M)*U1
*
            CALL sorm2r( 'Right', 'No transpose', m, m-k, min( m-k, l ),
     $                   a( k+1, n-l+1 ), lda, tau, u( 1, k+1 ), ldu,
     $                   work, info )
         END IF
*
*        Clean up
*
         DO 140 j = n - l + 1, n
            DO 130 i = j - n + k + l + 1, m
               a( i, j ) = zero
  130       CONTINUE
  140    CONTINUE
*
      END IF
*
      RETURN
*
*     End of SGGSVP
*
      END