CXML

ZTGSJA (3lapack)


SYNOPSIS

  SUBROUTINE ZTGSJA( JOBU, JOBV, JOBQ, M, P, N, K, L, A, LDA, B, LDB, TOLA,
                     TOLB, ALPHA, BETA, U, LDU, V, LDV, Q, LDQ, WORK, NCYCLE,
                     INFO )

      CHARACTER      JOBQ, JOBU, JOBV

      INTEGER        INFO, K, L, LDA, LDB, LDQ, LDU, LDV, M, N, NCYCLE, P

      DOUBLE         PRECISION TOLA, TOLB

      DOUBLE         PRECISION ALPHA( * ), BETA( * )

      COMPLEX*16     A( LDA, * ), B( LDB, * ), Q( LDQ, * ), U( LDU, * ), V(
                     LDV, * ), WORK( * )

PURPOSE

  ZTGSJA computes the generalized singular value decomposition (GSVD) of two
  complex upper triangular (or trapezoidal) matrices A and B.

  On entry, it is assumed that matrices A and B have the following forms,
  which may be obtained by the preprocessing subroutine ZGGSVP from a general
  M-by-N matrix A and P-by-N matrix B:

               N-K-L  K    L
     A =    K ( 0    A12  A13 ) if M-K-L >= 0;
            L ( 0     0   A23 )
        M-K-L ( 0     0    0  )

             N-K-L  K    L
     A =  K ( 0    A12  A13 ) if M-K-L < 0;
        M-K ( 0     0   A23 )

             N-K-L  K    L
     B =  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.

  On exit,

         U'*A*Q = D1*( 0 R ),    V'*B*Q = D2*( 0 R ),

  where U, V and Q are unitary matrices, Z' denotes the conjugate transpose
  of Z, R is a nonsingular upper triangular matrix, and D1 and D2 are
  ``diagonal'' matrices, which are of the following structures:

  If M-K-L >= 0,

                      K  L
         D1 =     K ( I  0 )
                  L ( 0  C )
              M-K-L ( 0  0 )

                     K  L
         D2 = L   ( 0  S )
              P-L ( 0  0 )

                 N-K-L  K    L
    ( 0 R ) = K (  0   R11  R12 ) K
              L (  0    0   R22 ) L

  where

    C = diag( ALPHA(K+1), ... , ALPHA(K+L) ),
    S = diag( BETA(K+1),  ... , BETA(K+L) ),
    C**2 + S**2 = I.

    R is stored in A(1:K+L,N-K-L+1:N) on exit.

  If M-K-L < 0,

                 K M-K K+L-M
      D1 =   K ( I  0    0   )
           M-K ( 0  C    0   )

                   K M-K K+L-M
      D2 =   M-K ( 0  S    0   )
           K+L-M ( 0  0    I   )
             P-L ( 0  0    0   )

                 N-K-L  K   M-K  K+L-M

            M-K ( 0     0   R22  R23  )
          K+L-M ( 0     0    0   R33  )

  where
  C = diag( ALPHA(K+1), ... , ALPHA(M) ),
  S = diag( BETA(K+1),  ... , BETA(M) ),
  C**2 + S**2 = I.

  R = ( R11 R12 R13 ) is stored in A(1:M, N-K-L+1:N) and R33 is stored
      (  0  R22 R23 )
  in B(M-K+1:L,N+M-K-L+1:N) on exit.

  The computation of the unitary transformation matrices U, V or Q is
  optional.  These matrices may either be formed explicitly, or they may be
  postmultiplied into input matrices U1, V1, or Q1.

ARGUMENTS

  JOBU    (input) CHARACTER*1
          = 'U':  U must contain a unitary matrix U1 on entry, and the
          product U1*U is returned; = 'I':  U is initialized to the unit
          matrix, and the unitary matrix U is returned; = 'N':  U is not
          computed.

  JOBV    (input) CHARACTER*1
          = 'V':  V must contain a unitary matrix V1 on entry, and the
          product V1*V is returned; = 'I':  V is initialized to the unit
          matrix, and the unitary matrix V is returned; = 'N':  V is not
          computed.

  JOBQ    (input) CHARACTER*1
          = 'Q':  Q must contain a unitary matrix Q1 on entry, and the
          product Q1*Q is returned; = 'I':  Q is initialized to the unit
          matrix, and the unitary matrix Q is returned; = 'N':  Q is not
          computed.

  M       (input) INTEGER
          The number of rows of the matrix A.  M >= 0.

  P       (input) INTEGER
          The number of rows of the matrix B.  P >= 0.

  N       (input) INTEGER
          The number of columns of the matrices A and B.  N >= 0.

  K       (input) INTEGER
          L       (input) INTEGER K and L specify the subblocks in the input
          matrices A and B:
          A23 = A(K+1:MIN(K+L,M),N-L+1:N) and B13 = B(1:L,,N-L+1:N) of A and
          B, whose GSVD is going to be computed by ZTGSJA.  See Further
          details.

  A       (input/output) COMPLEX*16 array, dimension (LDA,N)
          On entry, the M-by-N matrix A.  On exit, A(N-K+1:N,1:MIN(K+L,M) )
          contains the triangular matrix R or part of R.  See Purpose for
          details.

  LDA     (input) INTEGER
          The leading dimension of the array A. LDA >= max(1,M).

  B       (input/output) COMPLEX*16 array, dimension (LDB,N)
          On entry, the P-by-N matrix B.  On exit, if necessary, B(M-
          K+1:L,N+M-K-L+1:N) contains a part of R.  See Purpose for details.

  LDB     (input) INTEGER
          The leading dimension of the array B. LDB >= max(1,P).

  TOLA    (input) DOUBLE PRECISION
          TOLB    (input) DOUBLE PRECISION TOLA and TOLB are the convergence
          criteria for the Jacobi- Kogbetliantz iteration procedure.
          Generally, they are the same as used in the preprocessing step, say
          TOLA = MAX(M,N)*norm(A)*MAZHEPS, TOLB = MAX(P,N)*norm(B)*MAZHEPS.

  ALPHA   (output) DOUBLE PRECISION array, dimension (N)
          BETA    (output) DOUBLE PRECISION array, dimension (N) On exit,
          ALPHA and BETA contain the generalized singular value pairs of A
          and B; ALPHA(1:K) = 1,
          BETA(1:K)  = 0, and if M-K-L >= 0, ALPHA(K+1:K+L) = diag(C),
          BETA(K+1:K+L)  = diag(S), or if M-K-L < 0, ALPHA(K+1:M)= C,
          ALPHA(M+1:K+L)= 0
          BETA(K+1:M) = S, BETA(M+1:K+L) = 1.  Furthermore, if K+L < N,
          ALPHA(K+L+1:N) = 0
          BETA(K+L+1:N)  = 0.

  U       (input/output) COMPLEX*16 array, dimension (LDU,M)
          On entry, if JOBU = 'U', U must contain a matrix U1 (usually the
          unitary matrix returned by ZGGSVP).  On exit, if JOBU = 'I', U
          contains the unitary matrix U; if JOBU = 'U', U contains the
          product U1*U.  If JOBU = 'N', U is not referenced.

  LDU     (input) INTEGER
          The leading dimension of the array U. LDU >= max(1,M) if JOBU =
          'U'; LDU >= 1 otherwise.

  V       (input/output) COMPLEX*16 array, dimension (LDV,P)
          On entry, if JOBV = 'V', V must contain a matrix V1 (usually the
          unitary matrix returned by ZGGSVP).  On exit, if JOBV = 'I', V
          contains the unitary matrix V; if JOBV = 'V', V contains the
          product V1*V.  If JOBV = 'N', V is not referenced.

  LDV     (input) INTEGER
          The leading dimension of the array V. LDV >= max(1,P) if JOBV =
          'V'; LDV >= 1 otherwise.

  Q       (input/output) COMPLEX*16 array, dimension (LDQ,N)
          On entry, if JOBQ = 'Q', Q must contain a matrix Q1 (usually the
          unitary matrix returned by ZGGSVP).  On exit, if JOBQ = 'I', Q
          contains the unitary matrix Q; if JOBQ = 'Q', Q contains the
          product Q1*Q.  If JOBQ = 'N', Q is not referenced.

  LDQ     (input) INTEGER
          The leading dimension of the array Q. LDQ >= max(1,N) if JOBQ =
          'Q'; LDQ >= 1 otherwise.

  WORK    (workspace) COMPLEX*16 array, dimension (2*N)

  NCYCLE  (output) INTEGER
          The number of cycles required for convergence.

  INFO    (output) INTEGER
          = 0:  successful exit
          < 0:  if INFO = -i, the i-th argument had an illegal value.
          = 1:  the procedure does not converge after MAXIT cycles.

PARAMETERS

  MAXIT   INTEGER
          MAXIT specifies the total loops that the iterative procedure may
          take. If after MAXIT cycles, the routine fails to converge, we
          return INFO = 1.

          Further Details ===============

          ZTGSJA essentially uses a variant of Kogbetliantz algorithm to
          reduce min(L,M-K)-by-L triangular (or trapezoidal) matrix A23 and
          L-by-L matrix B13 to the form:

          U1'*A13*Q1 = C1*R1; V1'*B13*Q1 = S1*R1,

          where U1, V1 and Q1 are unitary matrix, and Z' is the conjugate
          transpose of Z.  C1 and S1 are diagonal matrices satisfying

          C1**2 + S1**2 = I,

          and R1 is an L-by-L nonsingular upper triangular matrix.

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