SRC/zgsvj0.f(3) Library Functions Manual SRC/zgsvj0.f(3) NAME SRC/zgsvj0.f SYNOPSIS Functions/Subroutines subroutine zgsvj0 (jobv, m, n, a, lda, d, sva, mv, v, ldv, eps, sfmin, tol, nsweep, work, lwork, info) ZGSVJ0 pre-processor for the routine zgesvj. Function/Subroutine Documentation subroutine zgsvj0 (character*1 jobv, integer m, integer n, complex*16, dimension( lda, * ) a, integer lda, complex*16, dimension( n ) d, double precision, dimension( n ) sva, integer mv, complex*16, dimension( ldv, * ) v, integer ldv, double precision eps, double precision sfmin, double precision tol, integer nsweep, complex*16, dimension( lwork ) work, integer lwork, integer info) ZGSVJ0 pre-processor for the routine zgesvj. Purpose: !> !> ZGSVJ0 is called from ZGESVJ as a pre-processor and that is its main !> purpose. It applies Jacobi rotations in the same way as ZGESVJ does, but !> it does not check convergence (stopping criterion). Few tuning !> parameters (marked by [TP]) are available for the implementer. !> Parameters JOBV !> JOBV is CHARACTER*1 !> Specifies whether the output from this procedure is used !> to compute the matrix V: !> = 'V': the product of the Jacobi rotations is accumulated !> by postmultiplying the N-by-N array V. !> (See the description of V.) !> = 'A': the product of the Jacobi rotations is accumulated !> by postmultiplying the MV-by-N array V. !> (See the descriptions of MV and V.) !> = 'N': the Jacobi rotations are not accumulated. !> M !> M is INTEGER !> The number of rows of the input matrix A. M >= 0. !> N !> N is INTEGER !> The number of columns of the input matrix A. !> M >= N >= 0. !> A !> A is COMPLEX*16 array, dimension (LDA,N) !> On entry, M-by-N matrix A, such that A*diag(D) represents !> the input matrix. !> On exit, !> A_onexit * diag(D_onexit) represents the input matrix A*diag(D) !> post-multiplied by a sequence of Jacobi rotations, where the !> rotation threshold and the total number of sweeps are given in !> TOL and NSWEEP, respectively. !> (See the descriptions of D, TOL and NSWEEP.) !> LDA !> LDA is INTEGER !> The leading dimension of the array A. LDA >= max(1,M). !> D !> D is COMPLEX*16 array, dimension (N) !> The array D accumulates the scaling factors from the complex scaled !> Jacobi rotations. !> On entry, A*diag(D) represents the input matrix. !> On exit, A_onexit*diag(D_onexit) represents the input matrix !> post-multiplied by a sequence of Jacobi rotations, where the !> rotation threshold and the total number of sweeps are given in !> TOL and NSWEEP, respectively. !> (See the descriptions of A, TOL and NSWEEP.) !> SVA !> SVA is DOUBLE PRECISION array, dimension (N) !> On entry, SVA contains the Euclidean norms of the columns of !> the matrix A*diag(D). !> On exit, SVA contains the Euclidean norms of the columns of !> the matrix A_onexit*diag(D_onexit). !> MV !> MV is INTEGER !> If JOBV = 'A', then MV rows of V are post-multiplied by a !> sequence of Jacobi rotations. !> If JOBV = 'N', then MV is not referenced. !> V !> V is COMPLEX*16 array, dimension (LDV,N) !> If JOBV = 'V' then N rows of V are post-multiplied by a !> sequence of Jacobi rotations. !> If JOBV = 'A' then MV rows of V are post-multiplied by a !> sequence of Jacobi rotations. !> If JOBV = 'N', then V is not referenced. !> LDV !> LDV is INTEGER !> The leading dimension of the array V, LDV >= 1. !> If JOBV = 'V', LDV >= N. !> If JOBV = 'A', LDV >= MV. !> EPS !> EPS is DOUBLE PRECISION !> EPS = DLAMCH('Epsilon') !> SFMIN !> SFMIN is DOUBLE PRECISION !> SFMIN = DLAMCH('Safe Minimum') !> TOL !> TOL is DOUBLE PRECISION !> TOL is the threshold for Jacobi rotations. For a pair !> A(:,p), A(:,q) of pivot columns, the Jacobi rotation is !> applied only if ABS(COS(angle(A(:,p),A(:,q)))) > TOL. !> NSWEEP !> NSWEEP is INTEGER !> NSWEEP is the number of sweeps of Jacobi rotations to be !> performed. !> WORK !> WORK is COMPLEX*16 array, dimension (LWORK) !> LWORK !> LWORK is INTEGER !> LWORK is the dimension of WORK. LWORK >= M. !> INFO !> INFO is INTEGER !> = 0: successful exit. !> < 0: if INFO = -i, then the i-th argument had an illegal value !> Author Univ. of Tennessee Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd. Further Details: ZGSVJ0 is used just to enable ZGESVJ to call a simplified version of itself to work on a submatrix of the original matrix. Contributor: Zlatko Drmac (Zagreb, Croatia) Bugs, Examples and Comments: Please report all bugs and send interesting test examples and comments to drmac@math.hr. Thank you. Definition at line 216 of file zgsvj0.f. Author Generated automatically by Doxygen for LAPACK from the source code. LAPACK Version 3.12.0 SRC/zgsvj0.f(3)