version 1.8, 2020/05/21 21:46:04
|
version 1.9, 2023/08/07 08:39:19
|
Line 276
|
Line 276
|
*> \author Univ. of Colorado Denver |
*> \author Univ. of Colorado Denver |
*> \author NAG Ltd. |
*> \author NAG Ltd. |
* |
* |
*> \date June 2016 |
|
* |
|
*> \ingroup complex16GEcomputational |
*> \ingroup complex16GEcomputational |
* |
* |
*> \par Further Details: |
*> \par Further Details: |
Line 296
|
Line 294
|
*> spectral condition number. The best performance of this Jacobi SVD |
*> spectral condition number. The best performance of this Jacobi SVD |
*> procedure is achieved if used in an accelerated version of Drmac and |
*> procedure is achieved if used in an accelerated version of Drmac and |
*> Veselic [4,5], and it is the kernel routine in the SIGMA library [6]. |
*> Veselic [4,5], and it is the kernel routine in the SIGMA library [6]. |
*> Some tunning parameters (marked with [TP]) are available for the |
*> Some tuning parameters (marked with [TP]) are available for the |
*> implementer. |
*> implementer. |
*> The computational range for the nonzero singular values is the machine |
*> The computational range for the nonzero singular values is the machine |
*> number interval ( UNDERFLOW , OVERFLOW ). In extreme cases, even |
*> number interval ( UNDERFLOW , OVERFLOW ). In extreme cases, even |
Line 351
|
Line 349
|
SUBROUTINE ZGESVJ( JOBA, JOBU, JOBV, M, N, A, LDA, SVA, MV, V, |
SUBROUTINE ZGESVJ( JOBA, JOBU, JOBV, M, N, A, LDA, SVA, MV, V, |
$ LDV, CWORK, LWORK, RWORK, LRWORK, INFO ) |
$ LDV, CWORK, LWORK, RWORK, LRWORK, INFO ) |
* |
* |
* -- LAPACK computational routine (version 3.8.0) -- |
* -- LAPACK computational routine -- |
* -- LAPACK is a software package provided by Univ. of Tennessee, -- |
* -- LAPACK is a software package provided by Univ. of Tennessee, -- |
* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- |
* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- |
* June 2016 |
|
* |
* |
IMPLICIT NONE |
IMPLICIT NONE |
* .. Scalar Arguments .. |
* .. Scalar Arguments .. |