--- rpl/lapack/lapack/dgsvj0.f 2011/07/22 07:38:05 1.6 +++ rpl/lapack/lapack/dgsvj0.f 2011/11/21 20:42:52 1.7 @@ -1,22 +1,228 @@ - SUBROUTINE DGSVJ0( JOBV, M, N, A, LDA, D, SVA, MV, V, LDV, EPS, - $ SFMIN, TOL, NSWEEP, WORK, LWORK, INFO ) +*> \brief \b DGSVJ0 +* +* =========== DOCUMENTATION =========== * -* -- LAPACK routine (version 3.3.1) -- +* Online html documentation available at +* http://www.netlib.org/lapack/explore-html/ * -* -- Contributed by Zlatko Drmac of the University of Zagreb and -- -* -- Kresimir Veselic of the Fernuniversitaet Hagen -- -* -- April 2011 -- +*> \htmlonly +*> Download DGSVJ0 + dependencies +*> +*> [TGZ] +*> +*> [ZIP] +*> +*> [TXT] +*> \endhtmlonly +* +* Definition: +* =========== +* +* SUBROUTINE DGSVJ0( JOBV, M, N, A, LDA, D, SVA, MV, V, LDV, EPS, +* SFMIN, TOL, NSWEEP, WORK, LWORK, INFO ) +* +* .. Scalar Arguments .. +* INTEGER INFO, LDA, LDV, LWORK, M, MV, N, NSWEEP +* DOUBLE PRECISION EPS, SFMIN, TOL +* CHARACTER*1 JOBV +* .. +* .. Array Arguments .. +* DOUBLE PRECISION A( LDA, * ), SVA( N ), D( N ), V( LDV, * ), +* $ WORK( LWORK ) +* .. +* +* +*> \par Purpose: +* ============= +*> +*> \verbatim +*> +*> DGSVJ0 is called from DGESVJ as a pre-processor and that is its main +*> purpose. It applies Jacobi rotations in the same way as DGESVJ does, but +*> it does not check convergence (stopping criterion). Few tuning +*> parameters (marked by [TP]) are available for the implementer. +*> \endverbatim +* +* Arguments: +* ========== +* +*> \param[in] JOBV +*> \verbatim +*> 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 postmulyiplying the N-by-N array V. +*> (See the description of V.) +*> = 'A': the product of the Jacobi rotations is accumulated +*> by postmulyiplying the MV-by-N array V. +*> (See the descriptions of MV and V.) +*> = 'N': the Jacobi rotations are not accumulated. +*> \endverbatim +*> +*> \param[in] M +*> \verbatim +*> M is INTEGER +*> The number of rows of the input matrix A. M >= 0. +*> \endverbatim +*> +*> \param[in] N +*> \verbatim +*> N is INTEGER +*> The number of columns of the input matrix A. +*> M >= N >= 0. +*> \endverbatim +*> +*> \param[in,out] A +*> \verbatim +*> A is DOUBLE PRECISION array, dimension (LDA,N) +*> On entry, M-by-N matrix A, such that A*diag(D) represents +*> the input matrix. +*> On exit, +*> A_onexit * 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.) +*> \endverbatim +*> +*> \param[in] LDA +*> \verbatim +*> LDA is INTEGER +*> The leading dimension of the array A. LDA >= max(1,M). +*> \endverbatim +*> +*> \param[in,out] D +*> \verbatim +*> D is DOUBLE PRECISION array, dimension (N) +*> The array D accumulates the scaling factors from the fast 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.) +*> \endverbatim +*> +*> \param[in,out] SVA +*> \verbatim +*> 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 onexit*diag(D_onexit). +*> \endverbatim +*> +*> \param[in] MV +*> \verbatim +*> MV is INTEGER +*> If JOBV .EQ. 'A', then MV rows of V are post-multipled by a +*> sequence of Jacobi rotations. +*> If JOBV = 'N', then MV is not referenced. +*> \endverbatim +*> +*> \param[in,out] V +*> \verbatim +*> V is DOUBLE PRECISION array, dimension (LDV,N) +*> If JOBV .EQ. 'V' then N rows of V are post-multipled by a +*> sequence of Jacobi rotations. +*> If JOBV .EQ. 'A' then MV rows of V are post-multipled by a +*> sequence of Jacobi rotations. +*> If JOBV = 'N', then V is not referenced. +*> \endverbatim +*> +*> \param[in] LDV +*> \verbatim +*> LDV is INTEGER +*> The leading dimension of the array V, LDV >= 1. +*> If JOBV = 'V', LDV .GE. N. +*> If JOBV = 'A', LDV .GE. MV. +*> \endverbatim +*> +*> \param[in] EPS +*> \verbatim +*> EPS is DOUBLE PRECISION +*> EPS = DLAMCH('Epsilon') +*> \endverbatim +*> +*> \param[in] SFMIN +*> \verbatim +*> SFMIN is DOUBLE PRECISION +*> SFMIN = DLAMCH('Safe Minimum') +*> \endverbatim +*> +*> \param[in] TOL +*> \verbatim +*> 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 DABS(COS(angle(A(:,p),A(:,q)))) .GT. TOL. +*> \endverbatim +*> +*> \param[in] NSWEEP +*> \verbatim +*> NSWEEP is INTEGER +*> NSWEEP is the number of sweeps of Jacobi rotations to be +*> performed. +*> \endverbatim +*> +*> \param[out] WORK +*> \verbatim +*> WORK is DOUBLE PRECISION array, dimension (LWORK) +*> \endverbatim +*> +*> \param[in] LWORK +*> \verbatim +*> LWORK is INTEGER +*> LWORK is the dimension of WORK. LWORK .GE. M. +*> \endverbatim +*> +*> \param[out] INFO +*> \verbatim +*> INFO is INTEGER +*> = 0 : successful exit. +*> < 0 : if INFO = -i, then 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. +* +*> \date November 2011 +* +*> \ingroup doubleOTHERcomputational +* +*> \par Further Details: +* ===================== +*> +*> DGSVJ0 is used just to enable DGESVJ to call a simplified version of +*> itself to work on a submatrix of the original matrix. +*> +*> \par Contributors: +* ================== +*> +*> Zlatko Drmac (Zagreb, Croatia) and Kresimir Veselic (Hagen, Germany) +*> +*> \par Bugs, Examples and Comments: +* ================================= +*> +*> Please report all bugs and send interesting test examples and comments to +*> drmac@math.hr. Thank you. * +* ===================================================================== + SUBROUTINE DGSVJ0( JOBV, M, N, A, LDA, D, SVA, MV, V, LDV, EPS, + $ SFMIN, TOL, NSWEEP, WORK, LWORK, INFO ) +* +* -- LAPACK computational routine (version 3.4.0) -- * -- LAPACK is a software package provided by Univ. of Tennessee, -- * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- +* November 2011 * -* This routine is also part of SIGMA (version 1.23, October 23. 2008.) -* SIGMA is a library of algorithms for highly accurate algorithms for -* computation of SVD, PSVD, QSVD, (H,K)-SVD, and for solution of the -* eigenvalue problems Hx = lambda M x, H M x = lambda x with H, M > 0. -* - IMPLICIT NONE -* .. * .. Scalar Arguments .. INTEGER INFO, LDA, LDV, LWORK, M, MV, N, NSWEEP DOUBLE PRECISION EPS, SFMIN, TOL @@ -27,119 +233,6 @@ $ WORK( LWORK ) * .. * -* Purpose -* ======= -* -* DGSVJ0 is called from DGESVJ as a pre-processor and that is its main -* purpose. It applies Jacobi rotations in the same way as DGESVJ does, but -* it does not check convergence (stopping criterion). Few tuning -* parameters (marked by [TP]) are available for the implementer. -* -* Further Details -* ~~~~~~~~~~~~~~~ -* DGSVJ0 is used just to enable SGESVJ to call a simplified version of -* itself to work on a submatrix of the original matrix. -* -* Contributors -* ~~~~~~~~~~~~ -* Zlatko Drmac (Zagreb, Croatia) and Kresimir Veselic (Hagen, Germany) -* -* Bugs, Examples and Comments -* ~~~~~~~~~~~~~~~~~~~~~~~~~~~ -* Please report all bugs and send interesting test examples and comments to -* drmac@math.hr. Thank you. -* -* Arguments -* ========= -* -* JOBV (input) 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 postmulyiplying the N-by-N array V. -* (See the description of V.) -* = 'A': the product of the Jacobi rotations is accumulated -* by postmulyiplying the MV-by-N array V. -* (See the descriptions of MV and V.) -* = 'N': the Jacobi rotations are not accumulated. -* -* M (input) INTEGER -* The number of rows of the input matrix A. M >= 0. -* -* N (input) INTEGER -* The number of columns of the input matrix A. -* M >= N >= 0. -* -* A (input/output) DOUBLE PRECISION array, dimension (LDA,N) -* On entry, M-by-N matrix A, such that A*diag(D) represents -* the input matrix. -* On exit, -* A_onexit * 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 (input) INTEGER -* The leading dimension of the array A. LDA >= max(1,M). -* -* D (input/workspace/output) DOUBLE PRECISION array, dimension (N) -* The array D accumulates the scaling factors from the fast 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 (input/workspace/output) 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 onexit*diag(D_onexit). -* -* MV (input) INTEGER -* If JOBV .EQ. 'A', then MV rows of V are post-multipled by a -* sequence of Jacobi rotations. -* If JOBV = 'N', then MV is not referenced. -* -* V (input/output) DOUBLE PRECISION array, dimension (LDV,N) -* If JOBV .EQ. 'V' then N rows of V are post-multipled by a -* sequence of Jacobi rotations. -* If JOBV .EQ. 'A' then MV rows of V are post-multipled by a -* sequence of Jacobi rotations. -* If JOBV = 'N', then V is not referenced. -* -* LDV (input) INTEGER -* The leading dimension of the array V, LDV >= 1. -* If JOBV = 'V', LDV .GE. N. -* If JOBV = 'A', LDV .GE. MV. -* -* EPS (input) DOUBLE PRECISION -* EPS = DLAMCH('Epsilon') -* -* SFMIN (input) DOUBLE PRECISION -* SFMIN = DLAMCH('Safe Minimum') -* -* TOL (input) 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 DABS(COS(angle(A(:,p),A(:,q)))) .GT. TOL. -* -* NSWEEP (input) INTEGER -* NSWEEP is the number of sweeps of Jacobi rotations to be -* performed. -* -* WORK (workspace) DOUBLE PRECISION array, dimension (LWORK) -* -* LWORK (input) INTEGER -* LWORK is the dimension of WORK. LWORK .GE. M. -* -* INFO (output) INTEGER -* = 0 : successful exit. -* < 0 : if INFO = -i, then the i-th argument had an illegal value -* * ===================================================================== * * .. Local Parameters ..