LAPACK  3.6.1
LAPACK: Linear Algebra PACKage
subroutine sgsvj0 ( character*1  JOBV,
integer  M,
integer  N,
real, dimension( lda, * )  A,
integer  LDA,
real, dimension( n )  D,
real, dimension( n )  SVA,
integer  MV,
real, dimension( ldv, * )  V,
integer  LDV,
real  EPS,
real  SFMIN,
real  TOL,
integer  NSWEEP,
real, dimension( lwork )  WORK,
integer  LWORK,
integer  INFO 
)

SGSVJ0 pre-processor for the routine sgesvj.

Download SGSVJ0 + dependencies [TGZ] [ZIP] [TXT]

Purpose: 
 SGSVJ0 is called from SGESVJ as a pre-processor and that is its main
 purpose. It applies Jacobi rotations in the same way as SGESVJ does, but
 it does not check convergence (stopping criterion). Few tuning
 parameters (marked by [TP]) are available for the implementer.
Parameters
[in]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 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.
[in]M
          M is INTEGER
          The number of rows of the input matrix A.  M >= 0.
[in]N
          N is INTEGER
          The number of columns of the input matrix A.
          M >= N >= 0.
[in,out]A
          A is REAL 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.)
[in]LDA
          LDA is INTEGER
          The leading dimension of the array A.  LDA >= max(1,M).
[in,out]D
          D is REAL 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.)
[in,out]SVA
          SVA is REAL 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).
[in]MV
          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.
[in,out]V
          V is REAL 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.
[in]LDV
          LDV is INTEGER
          The leading dimension of the array V,  LDV >= 1.
          If JOBV = 'V', LDV .GE. N.
          If JOBV = 'A', LDV .GE. MV.
[in]EPS
          EPS is REAL
          EPS = SLAMCH('Epsilon')
[in]SFMIN
          SFMIN is REAL
          SFMIN = SLAMCH('Safe Minimum')
[in]TOL
          TOL is REAL
          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)))) .GT. TOL.
[in]NSWEEP
          NSWEEP is INTEGER
          NSWEEP is the number of sweeps of Jacobi rotations to be
          performed.
[out]WORK
          WORK is REAL array, dimension LWORK.
[in]LWORK
          LWORK is INTEGER
          LWORK is the dimension of WORK. LWORK .GE. M.
[out]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.
Date
November 2015
Further Details:
SGSVJ0 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.nosp@m.@mat.nosp@m.h.hr. Thank you.

Definition at line 220 of file sgsvj0.f.

220 *
221 * -- LAPACK computational routine (version 3.6.0) --
222 * -- LAPACK is a software package provided by Univ. of Tennessee, --
223 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
224 * November 2015
225 *
226 * .. Scalar Arguments ..
227  INTEGER info, lda, ldv, lwork, m, mv, n, nsweep
228  REAL eps, sfmin, tol
229  CHARACTER*1 jobv
230 * ..
231 * .. Array Arguments ..
232  REAL a( lda, * ), sva( n ), d( n ), v( ldv, * ),
233  $ work( lwork )
234 * ..
235 *
236 * =====================================================================
237 *
238 * .. Local Parameters ..
239  REAL zero, half, one
240  parameter ( zero = 0.0e0, half = 0.5e0, one = 1.0e0)
241 * ..
242 * .. Local Scalars ..
243  REAL aapp, aapp0, aapq, aaqq, apoaq, aqoap, big,
244  $ bigtheta, cs, mxaapq, mxsinj, rootbig, rooteps,
245  $ rootsfmin, roottol, small, sn, t, temp1, theta,
246  $ thsign
247  INTEGER blskip, emptsw, i, ibr, ierr, igl, ijblsk, ir1,
248  $ iswrot, jbc, jgl, kbl, lkahead, mvl, nbl,
249  $ notrot, p, pskipped, q, rowskip, swband
250  LOGICAL applv, rotok, rsvec
251 * ..
252 * .. Local Arrays ..
253  REAL fastr( 5 )
254 * ..
255 * .. Intrinsic Functions ..
256  INTRINSIC abs, max, float, min, sign, sqrt
257 * ..
258 * .. External Functions ..
259  REAL sdot, snrm2
260  INTEGER isamax
261  LOGICAL lsame
262  EXTERNAL isamax, lsame, sdot, snrm2
263 * ..
264 * .. External Subroutines ..
265  EXTERNAL saxpy, scopy, slascl, slassq, srotm, sswap
266 * ..
267 * .. Executable Statements ..
268 *
269 * Test the input parameters.
270 *
271  applv = lsame( jobv, 'A' )
272  rsvec = lsame( jobv, 'V' )
273  IF( .NOT.( rsvec .OR. applv .OR. lsame( jobv, 'N' ) ) ) THEN
274  info = -1
275  ELSE IF( m.LT.0 ) THEN
276  info = -2
277  ELSE IF( ( n.LT.0 ) .OR. ( n.GT.m ) ) THEN
278  info = -3
279  ELSE IF( lda.LT.m ) THEN
280  info = -5
281  ELSE IF( ( rsvec.OR.applv ) .AND. ( mv.LT.0 ) ) THEN
282  info = -8
283  ELSE IF( ( rsvec.AND.( ldv.LT.n ) ).OR.
284  $ ( applv.AND.( ldv.LT.mv ) ) ) THEN
285  info = -10
286  ELSE IF( tol.LE.eps ) THEN
287  info = -13
288  ELSE IF( nsweep.LT.0 ) THEN
289  info = -14
290  ELSE IF( lwork.LT.m ) THEN
291  info = -16
292  ELSE
293  info = 0
294  END IF
295 *
296 * #:(
297  IF( info.NE.0 ) THEN
298  CALL xerbla( 'SGSVJ0', -info )
299  RETURN
300  END IF
301 *
302  IF( rsvec ) THEN
303  mvl = n
304  ELSE IF( applv ) THEN
305  mvl = mv
306  END IF
307  rsvec = rsvec .OR. applv
308 
309  rooteps = sqrt( eps )
310  rootsfmin = sqrt( sfmin )
311  small = sfmin / eps
312  big = one / sfmin
313  rootbig = one / rootsfmin
314  bigtheta = one / rooteps
315  roottol = sqrt( tol )
316 *
317 * .. Row-cyclic Jacobi SVD algorithm with column pivoting ..
318 *
319  emptsw = ( n*( n-1 ) ) / 2
320  notrot = 0
321  fastr( 1 ) = zero
322 *
323 * .. Row-cyclic pivot strategy with de Rijk's pivoting ..
324 *
325 
326  swband = 0
327 *[TP] SWBAND is a tuning parameter. It is meaningful and effective
328 * if SGESVJ is used as a computational routine in the preconditioned
329 * Jacobi SVD algorithm SGESVJ. For sweeps i=1:SWBAND the procedure
330 * ......
331 
332  kbl = min( 8, n )
333 *[TP] KBL is a tuning parameter that defines the tile size in the
334 * tiling of the p-q loops of pivot pairs. In general, an optimal
335 * value of KBL depends on the matrix dimensions and on the
336 * parameters of the computer's memory.
337 *
338  nbl = n / kbl
339  IF( ( nbl*kbl ).NE.n )nbl = nbl + 1
340 
341  blskip = ( kbl**2 ) + 1
342 *[TP] BLKSKIP is a tuning parameter that depends on SWBAND and KBL.
343 
344  rowskip = min( 5, kbl )
345 *[TP] ROWSKIP is a tuning parameter.
346 
347  lkahead = 1
348 *[TP] LKAHEAD is a tuning parameter.
349  swband = 0
350  pskipped = 0
351 *
352  DO 1993 i = 1, nsweep
353 * .. go go go ...
354 *
355  mxaapq = zero
356  mxsinj = zero
357  iswrot = 0
358 *
359  notrot = 0
360  pskipped = 0
361 *
362  DO 2000 ibr = 1, nbl
363 
364  igl = ( ibr-1 )*kbl + 1
365 *
366  DO 1002 ir1 = 0, min( lkahead, nbl-ibr )
367 *
368  igl = igl + ir1*kbl
369 *
370  DO 2001 p = igl, min( igl+kbl-1, n-1 )
371 
372 * .. de Rijk's pivoting
373  q = isamax( n-p+1, sva( p ), 1 ) + p - 1
374  IF( p.NE.q ) THEN
375  CALL sswap( m, a( 1, p ), 1, a( 1, q ), 1 )
376  IF( rsvec )CALL sswap( mvl, v( 1, p ), 1,
377  $ v( 1, q ), 1 )
378  temp1 = sva( p )
379  sva( p ) = sva( q )
380  sva( q ) = temp1
381  temp1 = d( p )
382  d( p ) = d( q )
383  d( q ) = temp1
384  END IF
385 *
386  IF( ir1.EQ.0 ) THEN
387 *
388 * Column norms are periodically updated by explicit
389 * norm computation.
390 * Caveat:
391 * Some BLAS implementations compute SNRM2(M,A(1,p),1)
392 * as SQRT(SDOT(M,A(1,p),1,A(1,p),1)), which may result in
393 * overflow for ||A(:,p)||_2 > SQRT(overflow_threshold), and
394 * undeflow for ||A(:,p)||_2 < SQRT(underflow_threshold).
395 * Hence, SNRM2 cannot be trusted, not even in the case when
396 * the true norm is far from the under(over)flow boundaries.
397 * If properly implemented SNRM2 is available, the IF-THEN-ELSE
398 * below should read "AAPP = SNRM2( M, A(1,p), 1 ) * D(p)".
399 *
400  IF( ( sva( p ).LT.rootbig ) .AND.
401  $ ( sva( p ).GT.rootsfmin ) ) THEN
402  sva( p ) = snrm2( m, a( 1, p ), 1 )*d( p )
403  ELSE
404  temp1 = zero
405  aapp = one
406  CALL slassq( m, a( 1, p ), 1, temp1, aapp )
407  sva( p ) = temp1*sqrt( aapp )*d( p )
408  END IF
409  aapp = sva( p )
410  ELSE
411  aapp = sva( p )
412  END IF
413 
414 *
415  IF( aapp.GT.zero ) THEN
416 *
417  pskipped = 0
418 *
419  DO 2002 q = p + 1, min( igl+kbl-1, n )
420 *
421  aaqq = sva( q )
422 
423  IF( aaqq.GT.zero ) THEN
424 *
425  aapp0 = aapp
426  IF( aaqq.GE.one ) THEN
427  rotok = ( small*aapp ).LE.aaqq
428  IF( aapp.LT.( big / aaqq ) ) THEN
429  aapq = ( sdot( m, a( 1, p ), 1, a( 1,
430  $ q ), 1 )*d( p )*d( q ) / aaqq )
431  $ / aapp
432  ELSE
433  CALL scopy( m, a( 1, p ), 1, work, 1 )
434  CALL slascl( 'G', 0, 0, aapp, d( p ),
435  $ m, 1, work, lda, ierr )
436  aapq = sdot( m, work, 1, a( 1, q ),
437  $ 1 )*d( q ) / aaqq
438  END IF
439  ELSE
440  rotok = aapp.LE.( aaqq / small )
441  IF( aapp.GT.( small / aaqq ) ) THEN
442  aapq = ( sdot( m, a( 1, p ), 1, a( 1,
443  $ q ), 1 )*d( p )*d( q ) / aaqq )
444  $ / aapp
445  ELSE
446  CALL scopy( m, a( 1, q ), 1, work, 1 )
447  CALL slascl( 'G', 0, 0, aaqq, d( q ),
448  $ m, 1, work, lda, ierr )
449  aapq = sdot( m, work, 1, a( 1, p ),
450  $ 1 )*d( p ) / aapp
451  END IF
452  END IF
453 *
454  mxaapq = max( mxaapq, abs( aapq ) )
455 *
456 * TO rotate or NOT to rotate, THAT is the question ...
457 *
458  IF( abs( aapq ).GT.tol ) THEN
459 *
460 * .. rotate
461 * ROTATED = ROTATED + ONE
462 *
463  IF( ir1.EQ.0 ) THEN
464  notrot = 0
465  pskipped = 0
466  iswrot = iswrot + 1
467  END IF
468 *
469  IF( rotok ) THEN
470 *
471  aqoap = aaqq / aapp
472  apoaq = aapp / aaqq
473  theta = -half*abs( aqoap-apoaq ) / aapq
474 *
475  IF( abs( theta ).GT.bigtheta ) THEN
476 *
477  t = half / theta
478  fastr( 3 ) = t*d( p ) / d( q )
479  fastr( 4 ) = -t*d( q ) / d( p )
480  CALL srotm( m, a( 1, p ), 1,
481  $ a( 1, q ), 1, fastr )
482  IF( rsvec )CALL srotm( mvl,
483  $ v( 1, p ), 1,
484  $ v( 1, q ), 1,
485  $ fastr )
486  sva( q ) = aaqq*sqrt( max( zero,
487  $ one+t*apoaq*aapq ) )
488  aapp = aapp*sqrt( max( zero,
489  $ one-t*aqoap*aapq ) )
490  mxsinj = max( mxsinj, abs( t ) )
491 *
492  ELSE
493 *
494 * .. choose correct signum for THETA and rotate
495 *
496  thsign = -sign( one, aapq )
497  t = one / ( theta+thsign*
498  $ sqrt( one+theta*theta ) )
499  cs = sqrt( one / ( one+t*t ) )
500  sn = t*cs
501 *
502  mxsinj = max( mxsinj, abs( sn ) )
503  sva( q ) = aaqq*sqrt( max( zero,
504  $ one+t*apoaq*aapq ) )
505  aapp = aapp*sqrt( max( zero,
506  $ one-t*aqoap*aapq ) )
507 *
508  apoaq = d( p ) / d( q )
509  aqoap = d( q ) / d( p )
510  IF( d( p ).GE.one ) THEN
511  IF( d( q ).GE.one ) THEN
512  fastr( 3 ) = t*apoaq
513  fastr( 4 ) = -t*aqoap
514  d( p ) = d( p )*cs
515  d( q ) = d( q )*cs
516  CALL srotm( m, a( 1, p ), 1,
517  $ a( 1, q ), 1,
518  $ fastr )
519  IF( rsvec )CALL srotm( mvl,
520  $ v( 1, p ), 1, v( 1, q ),
521  $ 1, fastr )
522  ELSE
523  CALL saxpy( m, -t*aqoap,
524  $ a( 1, q ), 1,
525  $ a( 1, p ), 1 )
526  CALL saxpy( m, cs*sn*apoaq,
527  $ a( 1, p ), 1,
528  $ a( 1, q ), 1 )
529  d( p ) = d( p )*cs
530  d( q ) = d( q ) / cs
531  IF( rsvec ) THEN
532  CALL saxpy( mvl, -t*aqoap,
533  $ v( 1, q ), 1,
534  $ v( 1, p ), 1 )
535  CALL saxpy( mvl,
536  $ cs*sn*apoaq,
537  $ v( 1, p ), 1,
538  $ v( 1, q ), 1 )
539  END IF
540  END IF
541  ELSE
542  IF( d( q ).GE.one ) THEN
543  CALL saxpy( m, t*apoaq,
544  $ a( 1, p ), 1,
545  $ a( 1, q ), 1 )
546  CALL saxpy( m, -cs*sn*aqoap,
547  $ a( 1, q ), 1,
548  $ a( 1, p ), 1 )
549  d( p ) = d( p ) / cs
550  d( q ) = d( q )*cs
551  IF( rsvec ) THEN
552  CALL saxpy( mvl, t*apoaq,
553  $ v( 1, p ), 1,
554  $ v( 1, q ), 1 )
555  CALL saxpy( mvl,
556  $ -cs*sn*aqoap,
557  $ v( 1, q ), 1,
558  $ v( 1, p ), 1 )
559  END IF
560  ELSE
561  IF( d( p ).GE.d( q ) ) THEN
562  CALL saxpy( m, -t*aqoap,
563  $ a( 1, q ), 1,
564  $ a( 1, p ), 1 )
565  CALL saxpy( m, cs*sn*apoaq,
566  $ a( 1, p ), 1,
567  $ a( 1, q ), 1 )
568  d( p ) = d( p )*cs
569  d( q ) = d( q ) / cs
570  IF( rsvec ) THEN
571  CALL saxpy( mvl,
572  $ -t*aqoap,
573  $ v( 1, q ), 1,
574  $ v( 1, p ), 1 )
575  CALL saxpy( mvl,
576  $ cs*sn*apoaq,
577  $ v( 1, p ), 1,
578  $ v( 1, q ), 1 )
579  END IF
580  ELSE
581  CALL saxpy( m, t*apoaq,
582  $ a( 1, p ), 1,
583  $ a( 1, q ), 1 )
584  CALL saxpy( m,
585  $ -cs*sn*aqoap,
586  $ a( 1, q ), 1,
587  $ a( 1, p ), 1 )
588  d( p ) = d( p ) / cs
589  d( q ) = d( q )*cs
590  IF( rsvec ) THEN
591  CALL saxpy( mvl,
592  $ t*apoaq, v( 1, p ),
593  $ 1, v( 1, q ), 1 )
594  CALL saxpy( mvl,
595  $ -cs*sn*aqoap,
596  $ v( 1, q ), 1,
597  $ v( 1, p ), 1 )
598  END IF
599  END IF
600  END IF
601  END IF
602  END IF
603 *
604  ELSE
605 * .. have to use modified Gram-Schmidt like transformation
606  CALL scopy( m, a( 1, p ), 1, work, 1 )
607  CALL slascl( 'G', 0, 0, aapp, one, m,
608  $ 1, work, lda, ierr )
609  CALL slascl( 'G', 0, 0, aaqq, one, m,
610  $ 1, a( 1, q ), lda, ierr )
611  temp1 = -aapq*d( p ) / d( q )
612  CALL saxpy( m, temp1, work, 1,
613  $ a( 1, q ), 1 )
614  CALL slascl( 'G', 0, 0, one, aaqq, m,
615  $ 1, a( 1, q ), lda, ierr )
616  sva( q ) = aaqq*sqrt( max( zero,
617  $ one-aapq*aapq ) )
618  mxsinj = max( mxsinj, sfmin )
619  END IF
620 * END IF ROTOK THEN ... ELSE
621 *
622 * In the case of cancellation in updating SVA(q), SVA(p)
623 * recompute SVA(q), SVA(p).
624  IF( ( sva( q ) / aaqq )**2.LE.rooteps )
625  $ THEN
626  IF( ( aaqq.LT.rootbig ) .AND.
627  $ ( aaqq.GT.rootsfmin ) ) THEN
628  sva( q ) = snrm2( m, a( 1, q ), 1 )*
629  $ d( q )
630  ELSE
631  t = zero
632  aaqq = one
633  CALL slassq( m, a( 1, q ), 1, t,
634  $ aaqq )
635  sva( q ) = t*sqrt( aaqq )*d( q )
636  END IF
637  END IF
638  IF( ( aapp / aapp0 ).LE.rooteps ) THEN
639  IF( ( aapp.LT.rootbig ) .AND.
640  $ ( aapp.GT.rootsfmin ) ) THEN
641  aapp = snrm2( m, a( 1, p ), 1 )*
642  $ d( p )
643  ELSE
644  t = zero
645  aapp = one
646  CALL slassq( m, a( 1, p ), 1, t,
647  $ aapp )
648  aapp = t*sqrt( aapp )*d( p )
649  END IF
650  sva( p ) = aapp
651  END IF
652 *
653  ELSE
654 * A(:,p) and A(:,q) already numerically orthogonal
655  IF( ir1.EQ.0 )notrot = notrot + 1
656  pskipped = pskipped + 1
657  END IF
658  ELSE
659 * A(:,q) is zero column
660  IF( ir1.EQ.0 )notrot = notrot + 1
661  pskipped = pskipped + 1
662  END IF
663 *
664  IF( ( i.LE.swband ) .AND.
665  $ ( pskipped.GT.rowskip ) ) THEN
666  IF( ir1.EQ.0 )aapp = -aapp
667  notrot = 0
668  GO TO 2103
669  END IF
670 *
671  2002 CONTINUE
672 * END q-LOOP
673 *
674  2103 CONTINUE
675 * bailed out of q-loop
676 
677  sva( p ) = aapp
678 
679  ELSE
680  sva( p ) = aapp
681  IF( ( ir1.EQ.0 ) .AND. ( aapp.EQ.zero ) )
682  $ notrot = notrot + min( igl+kbl-1, n ) - p
683  END IF
684 *
685  2001 CONTINUE
686 * end of the p-loop
687 * end of doing the block ( ibr, ibr )
688  1002 CONTINUE
689 * end of ir1-loop
690 *
691 *........................................................
692 * ... go to the off diagonal blocks
693 *
694  igl = ( ibr-1 )*kbl + 1
695 *
696  DO 2010 jbc = ibr + 1, nbl
697 *
698  jgl = ( jbc-1 )*kbl + 1
699 *
700 * doing the block at ( ibr, jbc )
701 *
702  ijblsk = 0
703  DO 2100 p = igl, min( igl+kbl-1, n )
704 *
705  aapp = sva( p )
706 *
707  IF( aapp.GT.zero ) THEN
708 *
709  pskipped = 0
710 *
711  DO 2200 q = jgl, min( jgl+kbl-1, n )
712 *
713  aaqq = sva( q )
714 *
715  IF( aaqq.GT.zero ) THEN
716  aapp0 = aapp
717 *
718 * .. M x 2 Jacobi SVD ..
719 *
720 * .. Safe Gram matrix computation ..
721 *
722  IF( aaqq.GE.one ) THEN
723  IF( aapp.GE.aaqq ) THEN
724  rotok = ( small*aapp ).LE.aaqq
725  ELSE
726  rotok = ( small*aaqq ).LE.aapp
727  END IF
728  IF( aapp.LT.( big / aaqq ) ) THEN
729  aapq = ( sdot( m, a( 1, p ), 1, a( 1,
730  $ q ), 1 )*d( p )*d( q ) / aaqq )
731  $ / aapp
732  ELSE
733  CALL scopy( m, a( 1, p ), 1, work, 1 )
734  CALL slascl( 'G', 0, 0, aapp, d( p ),
735  $ m, 1, work, lda, ierr )
736  aapq = sdot( m, work, 1, a( 1, q ),
737  $ 1 )*d( q ) / aaqq
738  END IF
739  ELSE
740  IF( aapp.GE.aaqq ) THEN
741  rotok = aapp.LE.( aaqq / small )
742  ELSE
743  rotok = aaqq.LE.( aapp / small )
744  END IF
745  IF( aapp.GT.( small / aaqq ) ) THEN
746  aapq = ( sdot( m, a( 1, p ), 1, a( 1,
747  $ q ), 1 )*d( p )*d( q ) / aaqq )
748  $ / aapp
749  ELSE
750  CALL scopy( m, a( 1, q ), 1, work, 1 )
751  CALL slascl( 'G', 0, 0, aaqq, d( q ),
752  $ m, 1, work, lda, ierr )
753  aapq = sdot( m, work, 1, a( 1, p ),
754  $ 1 )*d( p ) / aapp
755  END IF
756  END IF
757 *
758  mxaapq = max( mxaapq, abs( aapq ) )
759 *
760 * TO rotate or NOT to rotate, THAT is the question ...
761 *
762  IF( abs( aapq ).GT.tol ) THEN
763  notrot = 0
764 * ROTATED = ROTATED + 1
765  pskipped = 0
766  iswrot = iswrot + 1
767 *
768  IF( rotok ) THEN
769 *
770  aqoap = aaqq / aapp
771  apoaq = aapp / aaqq
772  theta = -half*abs( aqoap-apoaq ) / aapq
773  IF( aaqq.GT.aapp0 )theta = -theta
774 *
775  IF( abs( theta ).GT.bigtheta ) THEN
776  t = half / theta
777  fastr( 3 ) = t*d( p ) / d( q )
778  fastr( 4 ) = -t*d( q ) / d( p )
779  CALL srotm( m, a( 1, p ), 1,
780  $ a( 1, q ), 1, fastr )
781  IF( rsvec )CALL srotm( mvl,
782  $ v( 1, p ), 1,
783  $ v( 1, q ), 1,
784  $ fastr )
785  sva( q ) = aaqq*sqrt( max( zero,
786  $ one+t*apoaq*aapq ) )
787  aapp = aapp*sqrt( max( zero,
788  $ one-t*aqoap*aapq ) )
789  mxsinj = max( mxsinj, abs( t ) )
790  ELSE
791 *
792 * .. choose correct signum for THETA and rotate
793 *
794  thsign = -sign( one, aapq )
795  IF( aaqq.GT.aapp0 )thsign = -thsign
796  t = one / ( theta+thsign*
797  $ sqrt( one+theta*theta ) )
798  cs = sqrt( one / ( one+t*t ) )
799  sn = t*cs
800  mxsinj = max( mxsinj, abs( sn ) )
801  sva( q ) = aaqq*sqrt( max( zero,
802  $ one+t*apoaq*aapq ) )
803  aapp = aapp*sqrt( max( zero,
804  $ one-t*aqoap*aapq ) )
805 *
806  apoaq = d( p ) / d( q )
807  aqoap = d( q ) / d( p )
808  IF( d( p ).GE.one ) THEN
809 *
810  IF( d( q ).GE.one ) THEN
811  fastr( 3 ) = t*apoaq
812  fastr( 4 ) = -t*aqoap
813  d( p ) = d( p )*cs
814  d( q ) = d( q )*cs
815  CALL srotm( m, a( 1, p ), 1,
816  $ a( 1, q ), 1,
817  $ fastr )
818  IF( rsvec )CALL srotm( mvl,
819  $ v( 1, p ), 1, v( 1, q ),
820  $ 1, fastr )
821  ELSE
822  CALL saxpy( m, -t*aqoap,
823  $ a( 1, q ), 1,
824  $ a( 1, p ), 1 )
825  CALL saxpy( m, cs*sn*apoaq,
826  $ a( 1, p ), 1,
827  $ a( 1, q ), 1 )
828  IF( rsvec ) THEN
829  CALL saxpy( mvl, -t*aqoap,
830  $ v( 1, q ), 1,
831  $ v( 1, p ), 1 )
832  CALL saxpy( mvl,
833  $ cs*sn*apoaq,
834  $ v( 1, p ), 1,
835  $ v( 1, q ), 1 )
836  END IF
837  d( p ) = d( p )*cs
838  d( q ) = d( q ) / cs
839  END IF
840  ELSE
841  IF( d( q ).GE.one ) THEN
842  CALL saxpy( m, t*apoaq,
843  $ a( 1, p ), 1,
844  $ a( 1, q ), 1 )
845  CALL saxpy( m, -cs*sn*aqoap,
846  $ a( 1, q ), 1,
847  $ a( 1, p ), 1 )
848  IF( rsvec ) THEN
849  CALL saxpy( mvl, t*apoaq,
850  $ v( 1, p ), 1,
851  $ v( 1, q ), 1 )
852  CALL saxpy( mvl,
853  $ -cs*sn*aqoap,
854  $ v( 1, q ), 1,
855  $ v( 1, p ), 1 )
856  END IF
857  d( p ) = d( p ) / cs
858  d( q ) = d( q )*cs
859  ELSE
860  IF( d( p ).GE.d( q ) ) THEN
861  CALL saxpy( m, -t*aqoap,
862  $ a( 1, q ), 1,
863  $ a( 1, p ), 1 )
864  CALL saxpy( m, cs*sn*apoaq,
865  $ a( 1, p ), 1,
866  $ a( 1, q ), 1 )
867  d( p ) = d( p )*cs
868  d( q ) = d( q ) / cs
869  IF( rsvec ) THEN
870  CALL saxpy( mvl,
871  $ -t*aqoap,
872  $ v( 1, q ), 1,
873  $ v( 1, p ), 1 )
874  CALL saxpy( mvl,
875  $ cs*sn*apoaq,
876  $ v( 1, p ), 1,
877  $ v( 1, q ), 1 )
878  END IF
879  ELSE
880  CALL saxpy( m, t*apoaq,
881  $ a( 1, p ), 1,
882  $ a( 1, q ), 1 )
883  CALL saxpy( m,
884  $ -cs*sn*aqoap,
885  $ a( 1, q ), 1,
886  $ a( 1, p ), 1 )
887  d( p ) = d( p ) / cs
888  d( q ) = d( q )*cs
889  IF( rsvec ) THEN
890  CALL saxpy( mvl,
891  $ t*apoaq, v( 1, p ),
892  $ 1, v( 1, q ), 1 )
893  CALL saxpy( mvl,
894  $ -cs*sn*aqoap,
895  $ v( 1, q ), 1,
896  $ v( 1, p ), 1 )
897  END IF
898  END IF
899  END IF
900  END IF
901  END IF
902 *
903  ELSE
904  IF( aapp.GT.aaqq ) THEN
905  CALL scopy( m, a( 1, p ), 1, work,
906  $ 1 )
907  CALL slascl( 'G', 0, 0, aapp, one,
908  $ m, 1, work, lda, ierr )
909  CALL slascl( 'G', 0, 0, aaqq, one,
910  $ m, 1, a( 1, q ), lda,
911  $ ierr )
912  temp1 = -aapq*d( p ) / d( q )
913  CALL saxpy( m, temp1, work, 1,
914  $ a( 1, q ), 1 )
915  CALL slascl( 'G', 0, 0, one, aaqq,
916  $ m, 1, a( 1, q ), lda,
917  $ ierr )
918  sva( q ) = aaqq*sqrt( max( zero,
919  $ one-aapq*aapq ) )
920  mxsinj = max( mxsinj, sfmin )
921  ELSE
922  CALL scopy( m, a( 1, q ), 1, work,
923  $ 1 )
924  CALL slascl( 'G', 0, 0, aaqq, one,
925  $ m, 1, work, lda, ierr )
926  CALL slascl( 'G', 0, 0, aapp, one,
927  $ m, 1, a( 1, p ), lda,
928  $ ierr )
929  temp1 = -aapq*d( q ) / d( p )
930  CALL saxpy( m, temp1, work, 1,
931  $ a( 1, p ), 1 )
932  CALL slascl( 'G', 0, 0, one, aapp,
933  $ m, 1, a( 1, p ), lda,
934  $ ierr )
935  sva( p ) = aapp*sqrt( max( zero,
936  $ one-aapq*aapq ) )
937  mxsinj = max( mxsinj, sfmin )
938  END IF
939  END IF
940 * END IF ROTOK THEN ... ELSE
941 *
942 * In the case of cancellation in updating SVA(q)
943 * .. recompute SVA(q)
944  IF( ( sva( q ) / aaqq )**2.LE.rooteps )
945  $ THEN
946  IF( ( aaqq.LT.rootbig ) .AND.
947  $ ( aaqq.GT.rootsfmin ) ) THEN
948  sva( q ) = snrm2( m, a( 1, q ), 1 )*
949  $ d( q )
950  ELSE
951  t = zero
952  aaqq = one
953  CALL slassq( m, a( 1, q ), 1, t,
954  $ aaqq )
955  sva( q ) = t*sqrt( aaqq )*d( q )
956  END IF
957  END IF
958  IF( ( aapp / aapp0 )**2.LE.rooteps ) THEN
959  IF( ( aapp.LT.rootbig ) .AND.
960  $ ( aapp.GT.rootsfmin ) ) THEN
961  aapp = snrm2( m, a( 1, p ), 1 )*
962  $ d( p )
963  ELSE
964  t = zero
965  aapp = one
966  CALL slassq( m, a( 1, p ), 1, t,
967  $ aapp )
968  aapp = t*sqrt( aapp )*d( p )
969  END IF
970  sva( p ) = aapp
971  END IF
972 * end of OK rotation
973  ELSE
974  notrot = notrot + 1
975  pskipped = pskipped + 1
976  ijblsk = ijblsk + 1
977  END IF
978  ELSE
979  notrot = notrot + 1
980  pskipped = pskipped + 1
981  ijblsk = ijblsk + 1
982  END IF
983 *
984  IF( ( i.LE.swband ) .AND. ( ijblsk.GE.blskip ) )
985  $ THEN
986  sva( p ) = aapp
987  notrot = 0
988  GO TO 2011
989  END IF
990  IF( ( i.LE.swband ) .AND.
991  $ ( pskipped.GT.rowskip ) ) THEN
992  aapp = -aapp
993  notrot = 0
994  GO TO 2203
995  END IF
996 *
997  2200 CONTINUE
998 * end of the q-loop
999  2203 CONTINUE
1000 *
1001  sva( p ) = aapp
1002 *
1003  ELSE
1004  IF( aapp.EQ.zero )notrot = notrot +
1005  $ min( jgl+kbl-1, n ) - jgl + 1
1006  IF( aapp.LT.zero )notrot = 0
1007  END IF
1008 
1009  2100 CONTINUE
1010 * end of the p-loop
1011  2010 CONTINUE
1012 * end of the jbc-loop
1013  2011 CONTINUE
1014 *2011 bailed out of the jbc-loop
1015  DO 2012 p = igl, min( igl+kbl-1, n )
1016  sva( p ) = abs( sva( p ) )
1017  2012 CONTINUE
1018 *
1019  2000 CONTINUE
1020 *2000 :: end of the ibr-loop
1021 *
1022 * .. update SVA(N)
1023  IF( ( sva( n ).LT.rootbig ) .AND. ( sva( n ).GT.rootsfmin ) )
1024  $ THEN
1025  sva( n ) = snrm2( m, a( 1, n ), 1 )*d( n )
1026  ELSE
1027  t = zero
1028  aapp = one
1029  CALL slassq( m, a( 1, n ), 1, t, aapp )
1030  sva( n ) = t*sqrt( aapp )*d( n )
1031  END IF
1032 *
1033 * Additional steering devices
1034 *
1035  IF( ( i.LT.swband ) .AND. ( ( mxaapq.LE.roottol ) .OR.
1036  $ ( iswrot.LE.n ) ) )swband = i
1037 *
1038  IF( ( i.GT.swband+1 ) .AND. ( mxaapq.LT.float( n )*tol ) .AND.
1039  $ ( float( n )*mxaapq*mxsinj.LT.tol ) ) THEN
1040  GO TO 1994
1041  END IF
1042 *
1043  IF( notrot.GE.emptsw )GO TO 1994
1044 
1045  1993 CONTINUE
1046 * end i=1:NSWEEP loop
1047 * #:) Reaching this point means that the procedure has comleted the given
1048 * number of iterations.
1049  info = nsweep - 1
1050  GO TO 1995
1051  1994 CONTINUE
1052 * #:) Reaching this point means that during the i-th sweep all pivots were
1053 * below the given tolerance, causing early exit.
1054 *
1055  info = 0
1056 * #:) INFO = 0 confirms successful iterations.
1057  1995 CONTINUE
1058 *
1059 * Sort the vector D.
1060  DO 5991 p = 1, n - 1
1061  q = isamax( n-p+1, sva( p ), 1 ) + p - 1
1062  IF( p.NE.q ) THEN
1063  temp1 = sva( p )
1064  sva( p ) = sva( q )
1065  sva( q ) = temp1
1066  temp1 = d( p )
1067  d( p ) = d( q )
1068  d( q ) = temp1
1069  CALL sswap( m, a( 1, p ), 1, a( 1, q ), 1 )
1070  IF( rsvec )CALL sswap( mvl, v( 1, p ), 1, v( 1, q ), 1 )
1071  END IF
1072  5991 CONTINUE
1073 *
1074  RETURN
1075 * ..
1076 * .. END OF SGSVJ0
1077 * ..
slassq
subroutine slassq(N, X, INCX, SCALE, SUMSQ)
SLASSQ updates a sum of squares represented in scaled form.
Definition: slassq.f:105
srotm
subroutine srotm(N, SX, INCX, SY, INCY, SPARAM)
SROTM
Definition: srotm.f:101
sdot
real function sdot(N, SX, INCX, SY, INCY)
SDOT
Definition: sdot.f:53
isamax
integer function isamax(N, SX, INCX)
ISAMAX
Definition: isamax.f:53
slascl
subroutine slascl(TYPE, KL, KU, CFROM, CTO, M, N, A, LDA, INFO)
SLASCL multiplies a general rectangular matrix by a real scalar defined as cto/cfrom.
Definition: slascl.f:145
xerbla
subroutine xerbla(SRNAME, INFO)
XERBLA
Definition: xerbla.f:62
snrm2
real function snrm2(N, X, INCX)
SNRM2
Definition: snrm2.f:56
saxpy
subroutine saxpy(N, SA, SX, INCX, SY, INCY)
SAXPY
Definition: saxpy.f:54
sswap
subroutine sswap(N, SX, INCX, SY, INCY)
SSWAP
Definition: sswap.f:53
lsame
logical function lsame(CA, CB)
LSAME
Definition: lsame.f:55
scopy
subroutine scopy(N, SX, INCX, SY, INCY)
SCOPY
Definition: scopy.f:53

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