LAPACK  3.10.0
LAPACK: Linear Algebra PACKage

◆ cggsvp()

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

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

Purpose:
 This routine is deprecated and has been replaced by routine CGGSVP3.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.
Parameters
[in]JOBU
          JOBU is CHARACTER*1
          = 'U':  Unitary matrix U is computed;
          = 'N':  U is not computed.
[in]JOBV
          JOBV is CHARACTER*1
          = 'V':  Unitary matrix V is computed;
          = 'N':  V is not computed.
[in]JOBQ
          JOBQ is CHARACTER*1
          = 'Q':  Unitary matrix Q is computed;
          = 'N':  Q is not computed.
[in]M
          M is INTEGER
          The number of rows of the matrix A.  M >= 0.
[in]P
          P is INTEGER
          The number of rows of the matrix B.  P >= 0.
[in]N
          N is INTEGER
          The number of columns of the matrices A and B.  N >= 0.
[in,out]A
          A is 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.
[in]LDA
          LDA is INTEGER
          The leading dimension of the array A. LDA >= max(1,M).
[in,out]B
          B is 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.
[in]LDB
          LDB is INTEGER
          The leading dimension of the array B. LDB >= max(1,P).
[in]TOLA
          TOLA is REAL
[in]TOLB
          TOLB is REAL

          TOLA and TOLB 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.
[out]K
          K is INTEGER
[out]L
          L is INTEGER

          On exit, K and L specify the dimension of the subblocks
          described in Purpose section.
          K + L = effective numerical rank of (A**H,B**H)**H.
[out]U
          U is COMPLEX array, dimension (LDU,M)
          If JOBU = 'U', U contains the unitary matrix U.
          If JOBU = 'N', U is not referenced.
[in]LDU
          LDU is INTEGER
          The leading dimension of the array U. LDU >= max(1,M) if
          JOBU = 'U'; LDU >= 1 otherwise.
[out]V
          V is COMPLEX array, dimension (LDV,P)
          If JOBV = 'V', V contains the unitary matrix V.
          If JOBV = 'N', V is not referenced.
[in]LDV
          LDV is INTEGER
          The leading dimension of the array V. LDV >= max(1,P) if
          JOBV = 'V'; LDV >= 1 otherwise.
[out]Q
          Q is COMPLEX array, dimension (LDQ,N)
          If JOBQ = 'Q', Q contains the unitary matrix Q.
          If JOBQ = 'N', Q is not referenced.
[in]LDQ
          LDQ is INTEGER
          The leading dimension of the array Q. LDQ >= max(1,N) if
          JOBQ = 'Q'; LDQ >= 1 otherwise.
[out]IWORK
          IWORK is INTEGER array, dimension (N)
[out]RWORK
          RWORK is REAL array, dimension (2*N)
[out]TAU
          TAU is COMPLEX array, dimension (N)
[out]WORK
          WORK is COMPLEX array, dimension (max(3*N,M,P))
[out]INFO
          INFO is INTEGER
          = 0:  successful exit
          < 0:  if INFO = -i, the i-th argument had an illegal value.
Author
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.

262 *
263 * -- LAPACK computational routine --
264 * -- LAPACK is a software package provided by Univ. of Tennessee, --
265 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
266 *
267 * .. Scalar Arguments ..
268  CHARACTER JOBQ, JOBU, JOBV
269  INTEGER INFO, K, L, LDA, LDB, LDQ, LDU, LDV, M, N, P
270  REAL TOLA, TOLB
271 * ..
272 * .. Array Arguments ..
273  INTEGER IWORK( * )
274  REAL RWORK( * )
275  COMPLEX A( LDA, * ), B( LDB, * ), Q( LDQ, * ),
276  $ TAU( * ), U( LDU, * ), V( LDV, * ), WORK( * )
277 * ..
278 *
279 * =====================================================================
280 *
281 * .. Parameters ..
282  COMPLEX CZERO, CONE
283  parameter( czero = ( 0.0e+0, 0.0e+0 ),
284  $ cone = ( 1.0e+0, 0.0e+0 ) )
285 * ..
286 * .. Local Scalars ..
287  LOGICAL FORWRD, WANTQ, WANTU, WANTV
288  INTEGER I, J
289  COMPLEX T
290 * ..
291 * .. External Functions ..
292  LOGICAL LSAME
293  EXTERNAL lsame
294 * ..
295 * .. External Subroutines ..
296  EXTERNAL cgeqpf, cgeqr2, cgerq2, clacpy, clapmt, claset,
298 * ..
299 * .. Intrinsic Functions ..
300  INTRINSIC abs, aimag, max, min, real
301 * ..
302 * .. Statement Functions ..
303  REAL CABS1
304 * ..
305 * .. Statement Function definitions ..
306  cabs1( t ) = abs( real( t ) ) + abs( aimag( t ) )
307 * ..
308 * .. Executable Statements ..
309 *
310 * Test the input parameters
311 *
312  wantu = lsame( jobu, 'U' )
313  wantv = lsame( jobv, 'V' )
314  wantq = lsame( jobq, 'Q' )
315  forwrd = .true.
316 *
317  info = 0
318  IF( .NOT.( wantu .OR. lsame( jobu, 'N' ) ) ) THEN
319  info = -1
320  ELSE IF( .NOT.( wantv .OR. lsame( jobv, 'N' ) ) ) THEN
321  info = -2
322  ELSE IF( .NOT.( wantq .OR. lsame( jobq, 'N' ) ) ) THEN
323  info = -3
324  ELSE IF( m.LT.0 ) THEN
325  info = -4
326  ELSE IF( p.LT.0 ) THEN
327  info = -5
328  ELSE IF( n.LT.0 ) THEN
329  info = -6
330  ELSE IF( lda.LT.max( 1, m ) ) THEN
331  info = -8
332  ELSE IF( ldb.LT.max( 1, p ) ) THEN
333  info = -10
334  ELSE IF( ldu.LT.1 .OR. ( wantu .AND. ldu.LT.m ) ) THEN
335  info = -16
336  ELSE IF( ldv.LT.1 .OR. ( wantv .AND. ldv.LT.p ) ) THEN
337  info = -18
338  ELSE IF( ldq.LT.1 .OR. ( wantq .AND. ldq.LT.n ) ) THEN
339  info = -20
340  END IF
341  IF( info.NE.0 ) THEN
342  CALL xerbla( 'CGGSVP', -info )
343  RETURN
344  END IF
345 *
346 * QR with column pivoting of B: B*P = V*( S11 S12 )
347 * ( 0 0 )
348 *
349  DO 10 i = 1, n
350  iwork( i ) = 0
351  10 CONTINUE
352  CALL cgeqpf( p, n, b, ldb, iwork, tau, work, rwork, info )
353 *
354 * Update A := A*P
355 *
356  CALL clapmt( forwrd, m, n, a, lda, iwork )
357 *
358 * Determine the effective rank of matrix B.
359 *
360  l = 0
361  DO 20 i = 1, min( p, n )
362  IF( cabs1( b( i, i ) ).GT.tolb )
363  $ l = l + 1
364  20 CONTINUE
365 *
366  IF( wantv ) THEN
367 *
368 * Copy the details of V, and form V.
369 *
370  CALL claset( 'Full', p, p, czero, czero, v, ldv )
371  IF( p.GT.1 )
372  $ CALL clacpy( 'Lower', p-1, n, b( 2, 1 ), ldb, v( 2, 1 ),
373  $ ldv )
374  CALL cung2r( p, p, min( p, n ), v, ldv, tau, work, info )
375  END IF
376 *
377 * Clean up B
378 *
379  DO 40 j = 1, l - 1
380  DO 30 i = j + 1, l
381  b( i, j ) = czero
382  30 CONTINUE
383  40 CONTINUE
384  IF( p.GT.l )
385  $ CALL claset( 'Full', p-l, n, czero, czero, b( l+1, 1 ), ldb )
386 *
387  IF( wantq ) THEN
388 *
389 * Set Q = I and Update Q := Q*P
390 *
391  CALL claset( 'Full', n, n, czero, cone, q, ldq )
392  CALL clapmt( forwrd, n, n, q, ldq, iwork )
393  END IF
394 *
395  IF( p.GE.l .AND. n.NE.l ) THEN
396 *
397 * RQ factorization of ( S11 S12 ) = ( 0 S12 )*Z
398 *
399  CALL cgerq2( l, n, b, ldb, tau, work, info )
400 *
401 * Update A := A*Z**H
402 *
403  CALL cunmr2( 'Right', 'Conjugate transpose', m, n, l, b, ldb,
404  $ tau, a, lda, work, info )
405  IF( wantq ) THEN
406 *
407 * Update Q := Q*Z**H
408 *
409  CALL cunmr2( 'Right', 'Conjugate transpose', n, n, l, b,
410  $ ldb, tau, q, ldq, work, info )
411  END IF
412 *
413 * Clean up B
414 *
415  CALL claset( 'Full', l, n-l, czero, czero, b, ldb )
416  DO 60 j = n - l + 1, n
417  DO 50 i = j - n + l + 1, l
418  b( i, j ) = czero
419  50 CONTINUE
420  60 CONTINUE
421 *
422  END IF
423 *
424 * Let N-L L
425 * A = ( A11 A12 ) M,
426 *
427 * then the following does the complete QR decomposition of A11:
428 *
429 * A11 = U*( 0 T12 )*P1**H
430 * ( 0 0 )
431 *
432  DO 70 i = 1, n - l
433  iwork( i ) = 0
434  70 CONTINUE
435  CALL cgeqpf( m, n-l, a, lda, iwork, tau, work, rwork, info )
436 *
437 * Determine the effective rank of A11
438 *
439  k = 0
440  DO 80 i = 1, min( m, n-l )
441  IF( cabs1( a( i, i ) ).GT.tola )
442  $ k = k + 1
443  80 CONTINUE
444 *
445 * Update A12 := U**H*A12, where A12 = A( 1:M, N-L+1:N )
446 *
447  CALL cunm2r( 'Left', 'Conjugate transpose', m, l, min( m, n-l ),
448  $ a, lda, tau, a( 1, n-l+1 ), lda, work, info )
449 *
450  IF( wantu ) THEN
451 *
452 * Copy the details of U, and form U
453 *
454  CALL claset( 'Full', m, m, czero, czero, u, ldu )
455  IF( m.GT.1 )
456  $ CALL clacpy( 'Lower', m-1, n-l, a( 2, 1 ), lda, u( 2, 1 ),
457  $ ldu )
458  CALL cung2r( m, m, min( m, n-l ), u, ldu, tau, work, info )
459  END IF
460 *
461  IF( wantq ) THEN
462 *
463 * Update Q( 1:N, 1:N-L ) = Q( 1:N, 1:N-L )*P1
464 *
465  CALL clapmt( forwrd, n, n-l, q, ldq, iwork )
466  END IF
467 *
468 * Clean up A: set the strictly lower triangular part of
469 * A(1:K, 1:K) = 0, and A( K+1:M, 1:N-L ) = 0.
470 *
471  DO 100 j = 1, k - 1
472  DO 90 i = j + 1, k
473  a( i, j ) = czero
474  90 CONTINUE
475  100 CONTINUE
476  IF( m.GT.k )
477  $ CALL claset( 'Full', m-k, n-l, czero, czero, a( k+1, 1 ), lda )
478 *
479  IF( n-l.GT.k ) THEN
480 *
481 * RQ factorization of ( T11 T12 ) = ( 0 T12 )*Z1
482 *
483  CALL cgerq2( k, n-l, a, lda, tau, work, info )
484 *
485  IF( wantq ) THEN
486 *
487 * Update Q( 1:N,1:N-L ) = Q( 1:N,1:N-L )*Z1**H
488 *
489  CALL cunmr2( 'Right', 'Conjugate transpose', n, n-l, k, a,
490  $ lda, tau, q, ldq, work, info )
491  END IF
492 *
493 * Clean up A
494 *
495  CALL claset( 'Full', k, n-l-k, czero, czero, a, lda )
496  DO 120 j = n - l - k + 1, n - l
497  DO 110 i = j - n + l + k + 1, k
498  a( i, j ) = czero
499  110 CONTINUE
500  120 CONTINUE
501 *
502  END IF
503 *
504  IF( m.GT.k ) THEN
505 *
506 * QR factorization of A( K+1:M,N-L+1:N )
507 *
508  CALL cgeqr2( m-k, l, a( k+1, n-l+1 ), lda, tau, work, info )
509 *
510  IF( wantu ) THEN
511 *
512 * Update U(:,K+1:M) := U(:,K+1:M)*U1
513 *
514  CALL cunm2r( 'Right', 'No transpose', m, m-k, min( m-k, l ),
515  $ a( k+1, n-l+1 ), lda, tau, u( 1, k+1 ), ldu,
516  $ work, info )
517  END IF
518 *
519 * Clean up
520 *
521  DO 140 j = n - l + 1, n
522  DO 130 i = j - n + k + l + 1, m
523  a( i, j ) = czero
524  130 CONTINUE
525  140 CONTINUE
526 *
527  END IF
528 *
529  RETURN
530 *
531 * End of CGGSVP
532 *
subroutine xerbla(SRNAME, INFO)
XERBLA
Definition: xerbla.f:60
logical function lsame(CA, CB)
LSAME
Definition: lsame.f:53
subroutine cgeqr2(M, N, A, LDA, TAU, WORK, INFO)
CGEQR2 computes the QR factorization of a general rectangular matrix using an unblocked algorithm.
Definition: cgeqr2.f:130
subroutine cgerq2(M, N, A, LDA, TAU, WORK, INFO)
CGERQ2 computes the RQ factorization of a general rectangular matrix using an unblocked algorithm.
Definition: cgerq2.f:123
subroutine cgeqpf(M, N, A, LDA, JPVT, TAU, WORK, RWORK, INFO)
CGEQPF
Definition: cgeqpf.f:148
subroutine clapmt(FORWRD, M, N, X, LDX, K)
CLAPMT performs a forward or backward permutation of the columns of a matrix.
Definition: clapmt.f:104
subroutine claset(UPLO, M, N, ALPHA, BETA, A, LDA)
CLASET initializes the off-diagonal elements and the diagonal elements of a matrix to given values.
Definition: claset.f:106
subroutine clacpy(UPLO, M, N, A, LDA, B, LDB)
CLACPY copies all or part of one two-dimensional array to another.
Definition: clacpy.f:103
subroutine cunmr2(SIDE, TRANS, M, N, K, A, LDA, TAU, C, LDC, WORK, INFO)
CUNMR2 multiplies a general matrix by the unitary matrix from a RQ factorization determined by cgerqf...
Definition: cunmr2.f:159
subroutine cung2r(M, N, K, A, LDA, TAU, WORK, INFO)
CUNG2R
Definition: cung2r.f:114
subroutine cunm2r(SIDE, TRANS, M, N, K, A, LDA, TAU, C, LDC, WORK, INFO)
CUNM2R multiplies a general matrix by the unitary matrix from a QR factorization determined by cgeqrf...
Definition: cunm2r.f:159
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