/home/abui...D/cggsvp.f(3)

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

🌸 NAME 🌸

hey bestie πŸ’– you're reading the Library Functions Manual page for /home/abui...D/cggsvp.f(3), and the file it documents is:

  • /home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/DEPRECATED/cggsvp.f

✨ SYNOPSIS ✨

πŸŽ€ Functions/Subroutines πŸŽ€

Here's the synopsis, copy-paste exact:

subroutine CGGSVP (jobu, jobv, jobq, m, p, n, a, lda, b, ldb, tola,
    tolb, k, l, u, ldu, v, ldv, q, ldq, iwork, rwork, tau, work, info)
    CGGSVP

πŸ’… Function/Subroutine Documentation πŸ’…

The typed-out signature, exactly as written:

subroutine CGGSVP (character jobu, character jobv, character jobq, integer
    m, integer p, integer n, complex, dimension( lda, * ) a, integer lda,
    complex, dimension( ldb, * ) b, integer ldb, real tola, real tolb,
    integer k, integer l, complex, dimension( ldu, * ) u, integer ldu,
    complex, dimension( ldv, * ) v, integer ldv, complex, dimension( ldq, *
    ) q, integer ldq, integer, dimension( * ) iwork, real, dimension( * )
    rwork, complex, dimension( * ) tau, complex, dimension( * ) work,
    integer info)
    CGGSVP

πŸ¦‹ Purpose πŸ¦‹

okay so first thing, bestie: this routine is deprecated and has been replaced by routine CGGSVP3. not me showing up late to the function party πŸ’€ But here's the whole vibe:

!>
!> This routine is deprecated and has been replaced by routine CGGSVP3.
!>
!> CGGSVP computes unitary matrices U, V and Q such that
!>
!>                    N-K-L  K    L
!>  U**H*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**H*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**H,B**H)**H.
!>
!> This decomposition is the preprocessing step for computing the
!> Generalized Singular Value Decomposition (GSVD), see subroutine
!> CGGSVD.
!>

πŸ’– Parameters πŸ’–

  • JOBU β€” CHARACTER*1; the "do we compute U?" switch.
    • = 'U': Unitary matrix U is computed.
    • = 'N': U is not computed.
  • JOBV β€” CHARACTER*1; the "do we compute V?" switch.
    • = 'V': Unitary matrix V is computed.
    • = 'N': V is not computed.
  • JOBQ β€” CHARACTER*1; the "do we compute Q?" switch.
    • = 'Q': Unitary matrix Q is computed.
    • = 'N': Q is not computed.
  • M β€” INTEGER. The number of rows of the matrix A. M >= 0.
  • P β€” INTEGER. The number of rows of the matrix B. P >= 0.
  • N β€” INTEGER. The number of columns of the matrices A and B. N >= 0.
  • A β€” COMPLEX 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.
  • LDA β€” INTEGER. The leading dimension of the array A. LDA >= max(1,M).
  • B β€” COMPLEX array, dimension (LDB,N). On entry, the P-by-N matrix B. On exit, B contains the triangular matrix described in the Purpose section.
  • LDB β€” INTEGER. The leading dimension of the array B. LDB >= max(1,P).
  • TOLA β€” REAL.
  • TOLB β€” REAL.

TOLA and TOLB together 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.

  • K β€” INTEGER.
  • L β€” INTEGER.

On exit, K and L specify the dimension of the subblocks described in the Purpose section. K + L = effective numerical rank of (A**H,B**H)**H.

  • U β€” COMPLEX array, dimension (LDU,M). If JOBU = 'U', U contains the unitary matrix U. If JOBU = 'N', U is not referenced.
  • LDU β€” INTEGER. The leading dimension of the array U. LDU >= max(1,M) if JOBU = 'U'; LDU >= 1 otherwise.
  • V β€” COMPLEX array, dimension (LDV,P). If JOBV = 'V', V contains the unitary matrix V. If JOBV = 'N', V is not referenced.
  • LDV β€” INTEGER. The leading dimension of the array V. LDV >= max(1,P) if JOBV = 'V'; LDV >= 1 otherwise.
  • Q β€” COMPLEX array, dimension (LDQ,N). If JOBQ = 'Q', Q contains the unitary matrix Q. If JOBQ = 'N', Q is not referenced.
  • LDQ β€” INTEGER. The leading dimension of the array Q. LDQ >= max(1,N) if JOBQ = 'Q'; LDQ >= 1 otherwise.
  • IWORK β€” INTEGER array, dimension (N).
  • RWORK β€” REAL array, dimension (2*N).
  • TAU β€” COMPLEX array, dimension (N).
  • WORK β€” COMPLEX array, dimension (max(3*N,M,P)).
  • INFO β€” INTEGER.
    • = 0: successful exit.
    • < 0: if INFO = -i, the i-th argument had an illegal value.

πŸ‘‘ Author πŸ‘‘

  • Univ. of Tennessee
  • Univ. of California Berkeley
  • Univ. of Colorado Denver
  • NAG Ltd.

🌈 Further Details 🌈

The subroutine uses LAPACK subroutine CGEQPF 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.

Definition at line 259 of file cggsvp.f.


🧚 Author 🧚

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