OpenBLAS/lapack-netlib/SRC/claqr2.f

*> \brief \b CLAQR2 performs the unitary similarity transformation of a Hessenberg matrix to detect and deflate fully converged eigenvalues from a trailing principal submatrix (aggressive early deflation).
*
*  =========== DOCUMENTATION ===========
*
* Online html documentation available at
*            http://www.netlib.org/lapack/explore-html/
*
*> \htmlonly
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/claqr2.f">
*> [TXT]</a>
*> \endhtmlonly
*
*  Definition:
*  ===========
*
*       SUBROUTINE CLAQR2( WANTT, WANTZ, N, KTOP, KBOT, NW, H, LDH, ILOZ,
*                          IHIZ, Z, LDZ, NS, ND, SH, V, LDV, NH, T, LDT,
*                          NV, WV, LDWV, WORK, LWORK )
*
*       .. Scalar Arguments ..
*       INTEGER            IHIZ, ILOZ, KBOT, KTOP, LDH, LDT, LDV, LDWV,
*      $                   LDZ, LWORK, N, ND, NH, NS, NV, NW
*       LOGICAL            WANTT, WANTZ
*       ..
*       .. Array Arguments ..
*       COMPLEX            H( LDH, * ), SH( * ), T( LDT, * ), V( LDV, * ),
*      $                   WORK( * ), WV( LDWV, * ), Z( LDZ, * )
*       ..
*
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*>    CLAQR2 is identical to CLAQR3 except that it avoids
*>    recursion by calling CLAHQR instead of CLAQR4.
*>
*>    Aggressive early deflation:
*>
*>    This subroutine accepts as input an upper Hessenberg matrix
*>    H and performs an unitary similarity transformation
*>    designed to detect and deflate fully converged eigenvalues from
*>    a trailing principal submatrix.  On output H has been over-
*>    written by a new Hessenberg matrix that is a perturbation of
*>    an unitary similarity transformation of H.  It is to be
*>    hoped that the final version of H has many zero subdiagonal
*>    entries.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] WANTT
*> \verbatim
*>          WANTT is LOGICAL
*>          If .TRUE., then the Hessenberg matrix H is fully updated
*>          so that the triangular Schur factor may be
*>          computed (in cooperation with the calling subroutine).
*>          If .FALSE., then only enough of H is updated to preserve
*>          the eigenvalues.
*> \endverbatim
*>
*> \param[in] WANTZ
*> \verbatim
*>          WANTZ is LOGICAL
*>          If .TRUE., then the unitary matrix Z is updated so
*>          so that the unitary Schur factor may be computed
*>          (in cooperation with the calling subroutine).
*>          If .FALSE., then Z is not referenced.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*>          N is INTEGER
*>          The order of the matrix H and (if WANTZ is .TRUE.) the
*>          order of the unitary matrix Z.
*> \endverbatim
*>
*> \param[in] KTOP
*> \verbatim
*>          KTOP is INTEGER
*>          It is assumed that either KTOP = 1 or H(KTOP,KTOP-1)=0.
*>          KBOT and KTOP together determine an isolated block
*>          along the diagonal of the Hessenberg matrix.
*> \endverbatim
*>
*> \param[in] KBOT
*> \verbatim
*>          KBOT is INTEGER
*>          It is assumed without a check that either
*>          KBOT = N or H(KBOT+1,KBOT)=0.  KBOT and KTOP together
*>          determine an isolated block along the diagonal of the
*>          Hessenberg matrix.
*> \endverbatim
*>
*> \param[in] NW
*> \verbatim
*>          NW is INTEGER
*>          Deflation window size.  1 <= NW <= (KBOT-KTOP+1).
*> \endverbatim
*>
*> \param[in,out] H
*> \verbatim
*>          H is COMPLEX array, dimension (LDH,N)
*>          On input the initial N-by-N section of H stores the
*>          Hessenberg matrix undergoing aggressive early deflation.
*>          On output H has been transformed by a unitary
*>          similarity transformation, perturbed, and the returned
*>          to Hessenberg form that (it is to be hoped) has some
*>          zero subdiagonal entries.
*> \endverbatim
*>
*> \param[in] LDH
*> \verbatim
*>          LDH is INTEGER
*>          Leading dimension of H just as declared in the calling
*>          subroutine.  N <= LDH
*> \endverbatim
*>
*> \param[in] ILOZ
*> \verbatim
*>          ILOZ is INTEGER
*> \endverbatim
*>
*> \param[in] IHIZ
*> \verbatim
*>          IHIZ is INTEGER
*>          Specify the rows of Z to which transformations must be
*>          applied if WANTZ is .TRUE.. 1 <= ILOZ <= IHIZ <= N.
*> \endverbatim
*>
*> \param[in,out] Z
*> \verbatim
*>          Z is COMPLEX array, dimension (LDZ,N)
*>          IF WANTZ is .TRUE., then on output, the unitary
*>          similarity transformation mentioned above has been
*>          accumulated into Z(ILOZ:IHIZ,ILOZ:IHIZ) from the right.
*>          If WANTZ is .FALSE., then Z is unreferenced.
*> \endverbatim
*>
*> \param[in] LDZ
*> \verbatim
*>          LDZ is INTEGER
*>          The leading dimension of Z just as declared in the
*>          calling subroutine.  1 <= LDZ.
*> \endverbatim
*>
*> \param[out] NS
*> \verbatim
*>          NS is INTEGER
*>          The number of unconverged (ie approximate) eigenvalues
*>          returned in SR and SI that may be used as shifts by the
*>          calling subroutine.
*> \endverbatim
*>
*> \param[out] ND
*> \verbatim
*>          ND is INTEGER
*>          The number of converged eigenvalues uncovered by this
*>          subroutine.
*> \endverbatim
*>
*> \param[out] SH
*> \verbatim
*>          SH is COMPLEX array, dimension (KBOT)
*>          On output, approximate eigenvalues that may
*>          be used for shifts are stored in SH(KBOT-ND-NS+1)
*>          through SR(KBOT-ND).  Converged eigenvalues are
*>          stored in SH(KBOT-ND+1) through SH(KBOT).
*> \endverbatim
*>
*> \param[out] V
*> \verbatim
*>          V is COMPLEX array, dimension (LDV,NW)
*>          An NW-by-NW work array.
*> \endverbatim
*>
*> \param[in] LDV
*> \verbatim
*>          LDV is INTEGER
*>          The leading dimension of V just as declared in the
*>          calling subroutine.  NW <= LDV
*> \endverbatim
*>
*> \param[in] NH
*> \verbatim
*>          NH is INTEGER
*>          The number of columns of T.  NH >= NW.
*> \endverbatim
*>
*> \param[out] T
*> \verbatim
*>          T is COMPLEX array, dimension (LDT,NW)
*> \endverbatim
*>
*> \param[in] LDT
*> \verbatim
*>          LDT is INTEGER
*>          The leading dimension of T just as declared in the
*>          calling subroutine.  NW <= LDT
*> \endverbatim
*>
*> \param[in] NV
*> \verbatim
*>          NV is INTEGER
*>          The number of rows of work array WV available for
*>          workspace.  NV >= NW.
*> \endverbatim
*>
*> \param[out] WV
*> \verbatim
*>          WV is COMPLEX array, dimension (LDWV,NW)
*> \endverbatim
*>
*> \param[in] LDWV
*> \verbatim
*>          LDWV is INTEGER
*>          The leading dimension of W just as declared in the
*>          calling subroutine.  NW <= LDV
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*>          WORK is COMPLEX array, dimension (LWORK)
*>          On exit, WORK(1) is set to an estimate of the optimal value
*>          of LWORK for the given values of N, NW, KTOP and KBOT.
*> \endverbatim
*>
*> \param[in] LWORK
*> \verbatim
*>          LWORK is INTEGER
*>          The dimension of the work array WORK.  LWORK = 2*NW
*>          suffices, but greater efficiency may result from larger
*>          values of LWORK.
*>
*>          If LWORK = -1, then a workspace query is assumed; CLAQR2
*>          only estimates the optimal workspace size for the given
*>          values of N, NW, KTOP and KBOT.  The estimate is returned
*>          in WORK(1).  No error message related to LWORK is issued
*>          by XERBLA.  Neither H nor Z are accessed.
*> \endverbatim
*
*  Authors:
*  ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \ingroup complexOTHERauxiliary
*
*> \par Contributors:
*  ==================
*>
*>       Karen Braman and Ralph Byers, Department of Mathematics,
*>       University of Kansas, USA
*>
*  =====================================================================
      SUBROUTINE CLAQR2( WANTT, WANTZ, N, KTOP, KBOT, NW, H, LDH, ILOZ,
     $                   IHIZ, Z, LDZ, NS, ND, SH, V, LDV, NH, T, LDT,
     $                   NV, WV, LDWV, WORK, LWORK )
*
*  -- LAPACK auxiliary routine --
*  -- LAPACK is a software package provided by Univ. of Tennessee,    --
*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*
*     .. Scalar Arguments ..
      INTEGER            IHIZ, ILOZ, KBOT, KTOP, LDH, LDT, LDV, LDWV,
     $                   LDZ, LWORK, N, ND, NH, NS, NV, NW
      LOGICAL            WANTT, WANTZ
*     ..
*     .. Array Arguments ..
      COMPLEX            H( LDH, * ), SH( * ), T( LDT, * ), V( LDV, * ),
     $                   WORK( * ), WV( LDWV, * ), Z( LDZ, * )
*     ..
*
*  ================================================================
*
*     .. Parameters ..
      COMPLEX            ZERO, ONE
      PARAMETER          ( ZERO = ( 0.0e0, 0.0e0 ),
     $                   ONE = ( 1.0e0, 0.0e0 ) )
      REAL               RZERO, RONE
      PARAMETER          ( RZERO = 0.0e0, RONE = 1.0e0 )
*     ..
*     .. Local Scalars ..
      COMPLEX            BETA, CDUM, S, TAU
      REAL               FOO, SAFMAX, SAFMIN, SMLNUM, ULP
      INTEGER            I, IFST, ILST, INFO, INFQR, J, JW, KCOL, KLN,
     $                   KNT, KROW, KWTOP, LTOP, LWK1, LWK2, LWKOPT
*     ..
*     .. External Functions ..
      REAL               SLAMCH
      EXTERNAL           SLAMCH
*     ..
*     .. External Subroutines ..
      EXTERNAL           CCOPY, CGEHRD, CGEMM, CLACPY, CLAHQR, CLARF,
     $                   CLARFG, CLASET, CTREXC, CUNMHR, SLABAD
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          ABS, AIMAG, CMPLX, CONJG, INT, MAX, MIN, REAL
*     ..
*     .. Statement Functions ..
      REAL               CABS1
*     ..
*     .. Statement Function definitions ..
      CABS1( CDUM ) = ABS( REAL( CDUM ) ) + ABS( AIMAG( CDUM ) )
*     ..
*     .. Executable Statements ..
*
*     ==== Estimate optimal workspace. ====
*
      JW = MIN( NW, KBOT-KTOP+1 )
      IF( JW.LE.2 ) THEN
         LWKOPT = 1
      ELSE
*
*        ==== Workspace query call to CGEHRD ====
*
         CALL CGEHRD( JW, 1, JW-1, T, LDT, WORK, WORK, -1, INFO )
         LWK1 = INT( WORK( 1 ) )
*
*        ==== Workspace query call to CUNMHR ====
*
         CALL CUNMHR( 'R', 'N', JW, JW, 1, JW-1, T, LDT, WORK, V, LDV,
     $                WORK, -1, INFO )
         LWK2 = INT( WORK( 1 ) )
*
*        ==== Optimal workspace ====
*
         LWKOPT = JW + MAX( LWK1, LWK2 )
      END IF
*
*     ==== Quick return in case of workspace query. ====
*
      IF( LWORK.EQ.-1 ) THEN
         WORK( 1 ) = CMPLX( LWKOPT, 0 )
         RETURN
      END IF
*
*     ==== Nothing to do ...
*     ... for an empty active block ... ====
      NS = 0
      ND = 0
      WORK( 1 ) = ONE
      IF( KTOP.GT.KBOT )
     $   RETURN
*     ... nor for an empty deflation window. ====
      IF( NW.LT.1 )
     $   RETURN
*
*     ==== Machine constants ====
*
      SAFMIN = SLAMCH( 'SAFE MINIMUM' )
      SAFMAX = RONE / SAFMIN
      CALL SLABAD( SAFMIN, SAFMAX )
      ULP = SLAMCH( 'PRECISION' )
      SMLNUM = SAFMIN*( REAL( N ) / ULP )
*
*     ==== Setup deflation window ====
*
      JW = MIN( NW, KBOT-KTOP+1 )
      KWTOP = KBOT - JW + 1
      IF( KWTOP.EQ.KTOP ) THEN
         S = ZERO
      ELSE
         S = H( KWTOP, KWTOP-1 )
      END IF
*
      IF( KBOT.EQ.KWTOP ) THEN
*
*        ==== 1-by-1 deflation window: not much to do ====
*
         SH( KWTOP ) = H( KWTOP, KWTOP )
         NS = 1
         ND = 0
         IF( CABS1( S ).LE.MAX( SMLNUM, ULP*CABS1( H( KWTOP,
     $       KWTOP ) ) ) ) THEN
            NS = 0
            ND = 1
            IF( KWTOP.GT.KTOP )
     $         H( KWTOP, KWTOP-1 ) = ZERO
         END IF
         WORK( 1 ) = ONE
         RETURN
      END IF
*
*     ==== Convert to spike-triangular form.  (In case of a
*     .    rare QR failure, this routine continues to do
*     .    aggressive early deflation using that part of
*     .    the deflation window that converged using INFQR
*     .    here and there to keep track.) ====
*
      CALL CLACPY( 'U', JW, JW, H( KWTOP, KWTOP ), LDH, T, LDT )
      CALL CCOPY( JW-1, H( KWTOP+1, KWTOP ), LDH+1, T( 2, 1 ), LDT+1 )
*
      CALL CLASET( 'A', JW, JW, ZERO, ONE, V, LDV )
      CALL CLAHQR( .true., .true., JW, 1, JW, T, LDT, SH( KWTOP ), 1,
     $             JW, V, LDV, INFQR )
*
*     ==== Deflation detection loop ====
*
      NS = JW
      ILST = INFQR + 1
      DO 10 KNT = INFQR + 1, JW
*
*        ==== Small spike tip deflation test ====
*
         FOO = CABS1( T( NS, NS ) )
         IF( FOO.EQ.RZERO )
     $      FOO = CABS1( S )
         IF( CABS1( S )*CABS1( V( 1, NS ) ).LE.MAX( SMLNUM, ULP*FOO ) )
     $        THEN
*
*           ==== One more converged eigenvalue ====
*
            NS = NS - 1
         ELSE
*
*           ==== One undeflatable eigenvalue.  Move it up out of the
*           .    way.   (CTREXC can not fail in this case.) ====
*
            IFST = NS
            CALL CTREXC( 'V', JW, T, LDT, V, LDV, IFST, ILST, INFO )
            ILST = ILST + 1
         END IF
   10 CONTINUE
*
*        ==== Return to Hessenberg form ====
*
      IF( NS.EQ.0 )
     $   S = ZERO
*
      IF( NS.LT.JW ) THEN
*
*        ==== sorting the diagonal of T improves accuracy for
*        .    graded matrices.  ====
*
         DO 30 I = INFQR + 1, NS
            IFST = I
            DO 20 J = I + 1, NS
               IF( CABS1( T( J, J ) ).GT.CABS1( T( IFST, IFST ) ) )
     $            IFST = J
   20       CONTINUE
            ILST = I
            IF( IFST.NE.ILST )
     $         CALL CTREXC( 'V', JW, T, LDT, V, LDV, IFST, ILST, INFO )
   30    CONTINUE
      END IF
*
*     ==== Restore shift/eigenvalue array from T ====
*
      DO 40 I = INFQR + 1, JW
         SH( KWTOP+I-1 ) = T( I, I )
   40 CONTINUE
*
*
      IF( NS.LT.JW .OR. S.EQ.ZERO ) THEN
         IF( NS.GT.1 .AND. S.NE.ZERO ) THEN
*
*           ==== Reflect spike back into lower triangle ====
*
            CALL CCOPY( NS, V, LDV, WORK, 1 )
            DO 50 I = 1, NS
               WORK( I ) = CONJG( WORK( I ) )
   50       CONTINUE
            BETA = WORK( 1 )
            CALL CLARFG( NS, BETA, WORK( 2 ), 1, TAU )
            WORK( 1 ) = ONE
*
            CALL CLASET( 'L', JW-2, JW-2, ZERO, ZERO, T( 3, 1 ), LDT )
*
            CALL CLARF( 'L', NS, JW, WORK, 1, CONJG( TAU ), T, LDT,
     $                  WORK( JW+1 ) )
            CALL CLARF( 'R', NS, NS, WORK, 1, TAU, T, LDT,
     $                  WORK( JW+1 ) )
            CALL CLARF( 'R', JW, NS, WORK, 1, TAU, V, LDV,
     $                  WORK( JW+1 ) )
*
            CALL CGEHRD( JW, 1, NS, T, LDT, WORK, WORK( JW+1 ),
     $                   LWORK-JW, INFO )
         END IF
*
*        ==== Copy updated reduced window into place ====
*
         IF( KWTOP.GT.1 )
     $      H( KWTOP, KWTOP-1 ) = S*CONJG( V( 1, 1 ) )
         CALL CLACPY( 'U', JW, JW, T, LDT, H( KWTOP, KWTOP ), LDH )
         CALL CCOPY( JW-1, T( 2, 1 ), LDT+1, H( KWTOP+1, KWTOP ),
     $               LDH+1 )
*
*        ==== Accumulate orthogonal matrix in order update
*        .    H and Z, if requested.  ====
*
         IF( NS.GT.1 .AND. S.NE.ZERO )
     $      CALL CUNMHR( 'R', 'N', JW, NS, 1, NS, T, LDT, WORK, V, LDV,
     $                   WORK( JW+1 ), LWORK-JW, INFO )
*
*        ==== Update vertical slab in H ====
*
         IF( WANTT ) THEN
            LTOP = 1
         ELSE
            LTOP = KTOP
         END IF
         DO 60 KROW = LTOP, KWTOP - 1, NV
            KLN = MIN( NV, KWTOP-KROW )
            CALL CGEMM( 'N', 'N', KLN, JW, JW, ONE, H( KROW, KWTOP ),
     $                  LDH, V, LDV, ZERO, WV, LDWV )
            CALL CLACPY( 'A', KLN, JW, WV, LDWV, H( KROW, KWTOP ), LDH )
   60    CONTINUE
*
*        ==== Update horizontal slab in H ====
*
         IF( WANTT ) THEN
            DO 70 KCOL = KBOT + 1, N, NH
               KLN = MIN( NH, N-KCOL+1 )
               CALL CGEMM( 'C', 'N', JW, KLN, JW, ONE, V, LDV,
     $                     H( KWTOP, KCOL ), LDH, ZERO, T, LDT )
               CALL CLACPY( 'A', JW, KLN, T, LDT, H( KWTOP, KCOL ),
     $                      LDH )
   70       CONTINUE
         END IF
*
*        ==== Update vertical slab in Z ====
*
         IF( WANTZ ) THEN
            DO 80 KROW = ILOZ, IHIZ, NV
               KLN = MIN( NV, IHIZ-KROW+1 )
               CALL CGEMM( 'N', 'N', KLN, JW, JW, ONE, Z( KROW, KWTOP ),
     $                     LDZ, V, LDV, ZERO, WV, LDWV )
               CALL CLACPY( 'A', KLN, JW, WV, LDWV, Z( KROW, KWTOP ),
     $                      LDZ )
   80       CONTINUE
         END IF
      END IF
*
*     ==== Return the number of deflations ... ====
*
      ND = JW - NS
*
*     ==== ... and the number of shifts. (Subtracting
*     .    INFQR from the spike length takes care
*     .    of the case of a rare QR failure while
*     .    calculating eigenvalues of the deflation
*     .    window.)  ====
*
      NS = NS - INFQR
*
*      ==== Return optimal workspace. ====
*
      WORK( 1 ) = CMPLX( LWKOPT, 0 )
*
*     ==== End of CLAQR2 ====
*
      END