SUBROUTINE CLAQR5( WANTT, WANTZ, KACC22, N, KTOP, KBOT, NSHFTS, S,
$ H, LDH, ILOZ, IHIZ, Z, LDZ, V, LDV, U, LDU, NV,
$ WV, LDWV, NH, WH, LDWH )
*
* -- LAPACK auxiliary routine (version 3.1) --
* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
* November 2006
*
* .. Scalar Arguments ..
INTEGER IHIZ, ILOZ, KACC22, KBOT, KTOP, LDH, LDU, LDV,
$ LDWH, LDWV, LDZ, N, NH, NSHFTS, NV
LOGICAL WANTT, WANTZ
* ..
* .. Array Arguments ..
COMPLEX H( LDH, * ), S( * ), U( LDU, * ), V( LDV, * ),
$ WH( LDWH, * ), WV( LDWV, * ), Z( LDZ, * )
* ..
*
* This auxiliary subroutine called by CLAQR0 performs a
* single small-bulge multi-shift QR sweep.
*
* WANTT (input) logical scalar
* WANTT = .true. if the triangular Schur factor
* is being computed. WANTT is set to .false. otherwise.
*
* WANTZ (input) logical scalar
* WANTZ = .true. if the unitary Schur factor is being
* computed. WANTZ is set to .false. otherwise.
*
* KACC22 (input) integer with value 0, 1, or 2.
* Specifies the computation mode of far-from-diagonal
* orthogonal updates.
* = 0: CLAQR5 does not accumulate reflections and does not
* use matrix-matrix multiply to update far-from-diagonal
* matrix entries.
* = 1: CLAQR5 accumulates reflections and uses matrix-matrix
* multiply to update the far-from-diagonal matrix entries.
* = 2: CLAQR5 accumulates reflections, uses matrix-matrix
* multiply to update the far-from-diagonal matrix entries,
* and takes advantage of 2-by-2 block structure during
* matrix multiplies.
*
* N (input) integer scalar
* N is the order of the Hessenberg matrix H upon which this
* subroutine operates.
*
* KTOP (input) integer scalar
* KBOT (input) integer scalar
* These are the first and last rows and columns of an
* isolated diagonal block upon which the QR sweep is to be
* applied. It is assumed without a check that
* either KTOP = 1 or H(KTOP,KTOP-1) = 0
* and
* either KBOT = N or H(KBOT+1,KBOT) = 0.
*
* NSHFTS (input) integer scalar
* NSHFTS gives the number of simultaneous shifts. NSHFTS
* must be positive and even.
*
* S (input) COMPLEX array of size (NSHFTS)
* S contains the shifts of origin that define the multi-
* shift QR sweep.
*
* H (input/output) COMPLEX array of size (LDH,N)
* On input H contains a Hessenberg matrix. On output a
* multi-shift QR sweep with shifts SR(J)+i*SI(J) is applied
* to the isolated diagonal block in rows and columns KTOP
* through KBOT.
*
* LDH (input) integer scalar
* LDH is the leading dimension of H just as declared in the
* calling procedure. LDH.GE.MAX(1,N).
*
* ILOZ (input) INTEGER
* IHIZ (input) INTEGER
* Specify the rows of Z to which transformations must be
* applied if WANTZ is .TRUE.. 1 .LE. ILOZ .LE. IHIZ .LE. N
*
* Z (input/output) COMPLEX array of size (LDZ,IHI)
* If WANTZ = .TRUE., then the QR Sweep unitary
* similarity transformation is accumulated into
* Z(ILOZ:IHIZ,ILO:IHI) from the right.
* If WANTZ = .FALSE., then Z is unreferenced.
*
* LDZ (input) integer scalar
* LDA is the leading dimension of Z just as declared in
* the calling procedure. LDZ.GE.N.
*
* V (workspace) COMPLEX array of size (LDV,NSHFTS/2)
*
* LDV (input) integer scalar
* LDV is the leading dimension of V as declared in the
* calling procedure. LDV.GE.3.
*
* U (workspace) COMPLEX array of size
* (LDU,3*NSHFTS-3)
*
* LDU (input) integer scalar
* LDU is the leading dimension of U just as declared in the
* in the calling subroutine. LDU.GE.3*NSHFTS-3.
*
* NH (input) integer scalar
* NH is the number of columns in array WH available for
* workspace. NH.GE.1.
*
* WH (workspace) COMPLEX array of size (LDWH,NH)
*
* LDWH (input) integer scalar
* Leading dimension of WH just as declared in the
* calling procedure. LDWH.GE.3*NSHFTS-3.
*
* NV (input) integer scalar
* NV is the number of rows in WV agailable for workspace.
* NV.GE.1.
*
* WV (workspace) COMPLEX array of size
* (LDWV,3*NSHFTS-3)
*
* LDWV (input) integer scalar
* LDWV is the leading dimension of WV as declared in the
* in the calling subroutine. LDWV.GE.NV.
*
*
* ================================================================
* Based on contributions by
* Karen Braman and Ralph Byers, Department of Mathematics,
* University of Kansas, USA
*
* ============================================================
* Reference:
*
* K. Braman, R. Byers and R. Mathias, The Multi-Shift QR
* Algorithm Part I: Maintaining Well Focused Shifts, and
* Level 3 Performance, SIAM Journal of Matrix Analysis,
* volume 23, pages 929--947, 2002.
*
* ============================================================
* .. 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 ALPHA, BETA, CDUM, REFSUM
REAL H11, H12, H21, H22, SAFMAX, SAFMIN, SCL,
$ SMLNUM, TST1, TST2, ULP
INTEGER I2, I4, INCOL, J, J2, J4, JBOT, JCOL, JLEN,
$ JROW, JTOP, K, K1, KDU, KMS, KNZ, KRCOL, KZS,
$ M, M22, MBOT, MEND, MSTART, MTOP, NBMPS, NDCOL,
$ NS, NU
LOGICAL ACCUM, BLK22, BMP22
* ..
* .. External Functions ..
REAL SLAMCH
EXTERNAL SLAMCH
* ..
* .. Intrinsic Functions ..
*
INTRINSIC ABS, AIMAG, CONJG, MAX, MIN, MOD, REAL
* ..
* .. Local Arrays ..
COMPLEX VT( 3 )
* ..
* .. External Subroutines ..
EXTERNAL CGEMM, CLACPY, CLAQR1, CLARFG, CLASET, CTRMM,
$ SLABAD
* ..
* .. Statement Functions ..
REAL CABS1
* ..
* .. Statement Function definitions ..
CABS1( CDUM ) = ABS( REAL( CDUM ) ) + ABS( AIMAG( CDUM ) )
* ..
* .. Executable Statements ..
*
* ==== If there are no shifts, then there is nothing to do. ====
*
IF( NSHFTS.LT.2 )
$ RETURN
*
* ==== If the active block is empty or 1-by-1, then there
* . is nothing to do. ====
*
IF( KTOP.GE.KBOT )
$ RETURN
*
* ==== NSHFTS is supposed to be even, but if is odd,
* . then simply reduce it by one. ====
*
NS = NSHFTS - MOD( NSHFTS, 2 )
*
* ==== Machine constants for deflation ====
*
SAFMIN = SLAMCH( 'SAFE MINIMUM' )
SAFMAX = RONE / SAFMIN
CALL SLABAD( SAFMIN, SAFMAX )
ULP = SLAMCH( 'PRECISION' )
SMLNUM = SAFMIN*( REAL( N ) / ULP )
*
* ==== Use accumulated reflections to update far-from-diagonal
* . entries ? ====
*
ACCUM = ( KACC22.EQ.1 ) .OR. ( KACC22.EQ.2 )
*
* ==== If so, exploit the 2-by-2 block structure? ====
*
BLK22 = ( NS.GT.2 ) .AND. ( KACC22.EQ.2 )
*
* ==== clear trash ====
*
IF( KTOP+2.LE.KBOT )
$ H( KTOP+2, KTOP ) = ZERO
*
* ==== NBMPS = number of 2-shift bulges in the chain ====
*
NBMPS = NS / 2
*
* ==== KDU = width of slab ====
*
KDU = 6*NBMPS - 3
*
* ==== Create and chase chains of NBMPS bulges ====
*
DO 210 INCOL = 3*( 1-NBMPS ) + KTOP - 1, KBOT - 2, 3*NBMPS - 2
NDCOL = INCOL + KDU
IF( ACCUM )
$ CALL CLASET( 'ALL', KDU, KDU, ZERO, ONE, U, LDU )
*
* ==== Near-the-diagonal bulge chase. The following loop
* . performs the near-the-diagonal part of a small bulge
* . multi-shift QR sweep. Each 6*NBMPS-2 column diagonal
* . chunk extends from column INCOL to column NDCOL
* . (including both column INCOL and column NDCOL). The
* . following loop chases a 3*NBMPS column long chain of
* . NBMPS bulges 3*NBMPS-2 columns to the right. (INCOL
* . may be less than KTOP and and NDCOL may be greater than
* . KBOT indicating phantom columns from which to chase
* . bulges before they are actually introduced or to which
* . to chase bulges beyond column KBOT.) ====
*
DO 140 KRCOL = INCOL, MIN( INCOL+3*NBMPS-3, KBOT-2 )
*
* ==== Bulges number MTOP to MBOT are active double implicit
* . shift bulges. There may or may not also be small
* . 2-by-2 bulge, if there is room. The inactive bulges
* . (if any) must wait until the active bulges have moved
* . down the diagonal to make room. The phantom matrix
* . paradigm described above helps keep track. ====
*
MTOP = MAX( 1, ( ( KTOP-1 )-KRCOL+2 ) / 3+1 )
MBOT = MIN( NBMPS, ( KBOT-KRCOL ) / 3 )
M22 = MBOT + 1
BMP22 = ( MBOT.LT.NBMPS ) .AND. ( KRCOL+3*( M22-1 ) ).EQ.
$ ( KBOT-2 )
*
* ==== Generate reflections to chase the chain right
* . one column. (The minimum value of K is KTOP-1.) ====
*
DO 10 M = MTOP, MBOT
K = KRCOL + 3*( M-1 )
IF( K.EQ.KTOP-1 ) THEN
CALL CLAQR1( 3, H( KTOP, KTOP ), LDH, S( 2*M-1 ),
$ S( 2*M ), V( 1, M ) )
ALPHA = V( 1, M )
CALL CLARFG( 3, ALPHA, V( 2, M ), 1, V( 1, M ) )
ELSE
BETA = H( K+1, K )
V( 2, M ) = H( K+2, K )
V( 3, M ) = H( K+3, K )
CALL CLARFG( 3, BETA, V( 2, M ), 1, V( 1, M ) )
*
* ==== A Bulge may collapse because of vigilant
* . deflation or destructive underflow. (The
* . initial bulge is always collapsed.) Use
* . the two-small-subdiagonals trick to try
* . to get it started again. If V(2,M).NE.0 and
* . V(3,M) = H(K+3,K+1) = H(K+3,K+2) = 0, then
* . this bulge is collapsing into a zero
* . subdiagonal. It will be restarted next
* . trip through the loop.)
*
IF( V( 1, M ).NE.ZERO .AND.
$ ( V( 3, M ).NE.ZERO .OR. ( H( K+3,
$ K+1 ).EQ.ZERO .AND. H( K+3, K+2 ).EQ.ZERO ) ) )
$ THEN
*
* ==== Typical case: not collapsed (yet). ====
*
H( K+1, K ) = BETA
H( K+2, K ) = ZERO
H( K+3, K ) = ZERO
ELSE
*
* ==== Atypical case: collapsed. Attempt to
* . reintroduce ignoring H(K+1,K). If the
* . fill resulting from the new reflector
* . is too large, then abandon it.
* . Otherwise, use the new one. ====
*
CALL CLAQR1( 3, H( K+1, K+1 ), LDH, S( 2*M-1 ),
$ S( 2*M ), VT )
SCL = CABS1( VT( 1 ) ) + CABS1( VT( 2 ) ) +
$ CABS1( VT( 3 ) )
IF( SCL.NE.RZERO ) THEN
VT( 1 ) = VT( 1 ) / SCL
VT( 2 ) = VT( 2 ) / SCL
VT( 3 ) = VT( 3 ) / SCL
END IF
*
* ==== The following is the traditional and
* . conservative two-small-subdiagonals
* . test. ====
* .
IF( CABS1( H( K+1, K ) )*
$ ( CABS1( VT( 2 ) )+CABS1( VT( 3 ) ) ).GT.ULP*
$ CABS1( VT( 1 ) )*( CABS1( H( K,
$ K ) )+CABS1( H( K+1, K+1 ) )+CABS1( H( K+2,
$ K+2 ) ) ) ) THEN
*
* ==== Starting a new bulge here would
* . create non-negligible fill. If
* . the old reflector is diagonal (only
* . possible with underflows), then
* . change it to I. Otherwise, use
* . it with trepidation. ====
*
IF( V( 2, M ).EQ.ZERO .AND. V( 3, M ).EQ.ZERO )
$ THEN
V( 1, M ) = ZERO
ELSE
H( K+1, K ) = BETA
H( K+2, K ) = ZERO
H( K+3, K ) = ZERO
END IF
ELSE
*
* ==== Stating a new bulge here would
* . create only negligible fill.
* . Replace the old reflector with
* . the new one. ====
*
ALPHA = VT( 1 )
CALL CLARFG( 3, ALPHA, VT( 2 ), 1, VT( 1 ) )
REFSUM = H( K+1, K ) +
$ H( K+2, K )*CONJG( VT( 2 ) ) +
$ H( K+3, K )*CONJG( VT( 3 ) )
H( K+1, K ) = H( K+1, K ) -
$ CONJG( VT( 1 ) )*REFSUM
H( K+2, K ) = ZERO
H( K+3, K ) = ZERO
V( 1, M ) = VT( 1 )
V( 2, M ) = VT( 2 )
V( 3, M ) = VT( 3 )
END IF
END IF
END IF
10 CONTINUE
*
* ==== Generate a 2-by-2 reflection, if needed. ====
*
K = KRCOL + 3*( M22-1 )
IF( BMP22 ) THEN
IF( K.EQ.KTOP-1 ) THEN
CALL CLAQR1( 2, H( K+1, K+1 ), LDH, S( 2*M22-1 ),
$ S( 2*M22 ), V( 1, M22 ) )
BETA = V( 1, M22 )
CALL CLARFG( 2, BETA, V( 2, M22 ), 1, V( 1, M22 ) )
ELSE
BETA = H( K+1, K )
V( 2, M22 ) = H( K+2, K )
CALL CLARFG( 2, BETA, V( 2, M22 ), 1, V( 1, M22 ) )
H( K+1, K ) = BETA
H( K+2, K ) = ZERO
END IF
ELSE
*
* ==== Initialize V(1,M22) here to avoid possible undefined
* . variable problems later. ====
*
V( 1, M22 ) = ZERO
END IF
*
* ==== Multiply H by reflections from the left ====
*
IF( ACCUM ) THEN
JBOT = MIN( NDCOL, KBOT )
ELSE IF( WANTT ) THEN
JBOT = N
ELSE
JBOT = KBOT
END IF
DO 30 J = MAX( KTOP, KRCOL ), JBOT
MEND = MIN( MBOT, ( J-KRCOL+2 ) / 3 )
DO 20 M = MTOP, MEND
K = KRCOL + 3*( M-1 )
REFSUM = CONJG( V( 1, M ) )*
$ ( H( K+1, J )+CONJG( V( 2, M ) )*H( K+2, J )+
$ CONJG( V( 3, M ) )*H( K+3, J ) )
H( K+1, J ) = H( K+1, J ) - REFSUM
H( K+2, J ) = H( K+2, J ) - REFSUM*V( 2, M )
H( K+3, J ) = H( K+3, J ) - REFSUM*V( 3, M )
20 CONTINUE
30 CONTINUE
IF( BMP22 ) THEN
K = KRCOL + 3*( M22-1 )
DO 40 J = MAX( K+1, KTOP ), JBOT
REFSUM = CONJG( V( 1, M22 ) )*
$ ( H( K+1, J )+CONJG( V( 2, M22 ) )*
$ H( K+2, J ) )
H( K+1, J ) = H( K+1, J ) - REFSUM
H( K+2, J ) = H( K+2, J ) - REFSUM*V( 2, M22 )
40 CONTINUE
END IF
*
* ==== Multiply H by reflections from the right.
* . Delay filling in the last row until the
* . vigilant deflation check is complete. ====
*
IF( ACCUM ) THEN
JTOP = MAX( KTOP, INCOL )
ELSE IF( WANTT ) THEN
JTOP = 1
ELSE
JTOP = KTOP
END IF
DO 80 M = MTOP, MBOT
IF( V( 1, M ).NE.ZERO ) THEN
K = KRCOL + 3*( M-1 )
DO 50 J = JTOP, MIN( KBOT, K+3 )
REFSUM = V( 1, M )*( H( J, K+1 )+V( 2, M )*
$ H( J, K+2 )+V( 3, M )*H( J, K+3 ) )
H( J, K+1 ) = H( J, K+1 ) - REFSUM
H( J, K+2 ) = H( J, K+2 ) -
$ REFSUM*CONJG( V( 2, M ) )
H( J, K+3 ) = H( J, K+3 ) -
$ REFSUM*CONJG( V( 3, M ) )
50 CONTINUE
*
IF( ACCUM ) THEN
*
* ==== Accumulate U. (If necessary, update Z later
* . with with an efficient matrix-matrix
* . multiply.) ====
*
KMS = K - INCOL
DO 60 J = MAX( 1, KTOP-INCOL ), KDU
REFSUM = V( 1, M )*( U( J, KMS+1 )+V( 2, M )*
$ U( J, KMS+2 )+V( 3, M )*U( J, KMS+3 ) )
U( J, KMS+1 ) = U( J, KMS+1 ) - REFSUM
U( J, KMS+2 ) = U( J, KMS+2 ) -
$ REFSUM*CONJG( V( 2, M ) )
U( J, KMS+3 ) = U( J, KMS+3 ) -
$ REFSUM*CONJG( V( 3, M ) )
60 CONTINUE
ELSE IF( WANTZ ) THEN
*
* ==== U is not accumulated, so update Z
* . now by multiplying by reflections
* . from the right. ====
*
DO 70 J = ILOZ, IHIZ
REFSUM = V( 1, M )*( Z( J, K+1 )+V( 2, M )*
$ Z( J, K+2 )+V( 3, M )*Z( J, K+3 ) )
Z( J, K+1 ) = Z( J, K+1 ) - REFSUM
Z( J, K+2 ) = Z( J, K+2 ) -
$ REFSUM*CONJG( V( 2, M ) )
Z( J, K+3 ) = Z( J, K+3 ) -
$ REFSUM*CONJG( V( 3, M ) )
70 CONTINUE
END IF
END IF
80 CONTINUE
*
* ==== Special case: 2-by-2 reflection (if needed) ====
*
K = KRCOL + 3*( M22-1 )
IF( BMP22 .AND. ( V( 1, M22 ).NE.ZERO ) ) THEN
DO 90 J = JTOP, MIN( KBOT, K+3 )
REFSUM = V( 1, M22 )*( H( J, K+1 )+V( 2, M22 )*
$ H( J, K+2 ) )
H( J, K+1 ) = H( J, K+1 ) - REFSUM
H( J, K+2 ) = H( J, K+2 ) -
$ REFSUM*CONJG( V( 2, M22 ) )
90 CONTINUE
*
IF( ACCUM ) THEN
KMS = K - INCOL
DO 100 J = MAX( 1, KTOP-INCOL ), KDU
REFSUM = V( 1, M22 )*( U( J, KMS+1 )+V( 2, M22 )*
$ U( J, KMS+2 ) )
U( J, KMS+1 ) = U( J, KMS+1 ) - REFSUM
U( J, KMS+2 ) = U( J, KMS+2 ) -
$ REFSUM*CONJG( V( 2, M22 ) )
100 CONTINUE
ELSE IF( WANTZ ) THEN
DO 110 J = ILOZ, IHIZ
REFSUM = V( 1, M22 )*( Z( J, K+1 )+V( 2, M22 )*
$ Z( J, K+2 ) )
Z( J, K+1 ) = Z( J, K+1 ) - REFSUM
Z( J, K+2 ) = Z( J, K+2 ) -
$ REFSUM*CONJG( V( 2, M22 ) )
110 CONTINUE
END IF
END IF
*
* ==== Vigilant deflation check ====
*
MSTART = MTOP
IF( KRCOL+3*( MSTART-1 ).LT.KTOP )
$ MSTART = MSTART + 1
MEND = MBOT
IF( BMP22 )
$ MEND = MEND + 1
IF( KRCOL.EQ.KBOT-2 )
$ MEND = MEND + 1
DO 120 M = MSTART, MEND
K = MIN( KBOT-1, KRCOL+3*( M-1 ) )
*
* ==== The following convergence test requires that
* . the tradition small-compared-to-nearby-diagonals
* . criterion and the Ahues & Tisseur (LAWN 122, 1997)
* . criteria both be satisfied. The latter improves
* . accuracy in some examples. Falling back on an
* . alternate convergence criterion when TST1 or TST2
* . is zero (as done here) is traditional but probably
* . unnecessary. ====
*
IF( H( K+1, K ).NE.ZERO ) THEN
TST1 = CABS1( H( K, K ) ) + CABS1( H( K+1, K+1 ) )
IF( TST1.EQ.RZERO ) THEN
IF( K.GE.KTOP+1 )
$ TST1 = TST1 + CABS1( H( K, K-1 ) )
IF( K.GE.KTOP+2 )
$ TST1 = TST1 + CABS1( H( K, K-2 ) )
IF( K.GE.KTOP+3 )
$ TST1 = TST1 + CABS1( H( K, K-3 ) )
IF( K.LE.KBOT-2 )
$ TST1 = TST1 + CABS1( H( K+2, K+1 ) )
IF( K.LE.KBOT-3 )
$ TST1 = TST1 + CABS1( H( K+3, K+1 ) )
IF( K.LE.KBOT-4 )
$ TST1 = TST1 + CABS1( H( K+4, K+1 ) )
END IF
IF( CABS1( H( K+1, K ) ).LE.MAX( SMLNUM, ULP*TST1 ) )
$ THEN
H12 = MAX( CABS1( H( K+1, K ) ),
$ CABS1( H( K, K+1 ) ) )
H21 = MIN( CABS1( H( K+1, K ) ),
$ CABS1( H( K, K+1 ) ) )
H11 = MAX( CABS1( H( K+1, K+1 ) ),
$ CABS1( H( K, K )-H( K+1, K+1 ) ) )
H22 = MIN( CABS1( H( K+1, K+1 ) ),
$ CABS1( H( K, K )-H( K+1, K+1 ) ) )
SCL = H11 + H12
TST2 = H22*( H11 / SCL )
*
IF( TST2.EQ.RZERO .OR. H21*( H12 / SCL ).LE.
$ MAX( SMLNUM, ULP*TST2 ) )H( K+1, K ) = ZERO
END IF
END IF
120 CONTINUE
*
* ==== Fill in the last row of each bulge. ====
*
MEND = MIN( NBMPS, ( KBOT-KRCOL-1 ) / 3 )
DO 130 M = MTOP, MEND
K = KRCOL + 3*( M-1 )
REFSUM = V( 1, M )*V( 3, M )*H( K+4, K+3 )
H( K+4, K+1 ) = -REFSUM
H( K+4, K+2 ) = -REFSUM*CONJG( V( 2, M ) )
H( K+4, K+3 ) = H( K+4, K+3 ) - REFSUM*CONJG( V( 3, M ) )
130 CONTINUE
*
* ==== End of near-the-diagonal bulge chase. ====
*
140 CONTINUE
*
* ==== Use U (if accumulated) to update far-from-diagonal
* . entries in H. If required, use U to update Z as
* . well. ====
*
IF( ACCUM ) THEN
IF( WANTT ) THEN
JTOP = 1
JBOT = N
ELSE
JTOP = KTOP
JBOT = KBOT
END IF
IF( ( .NOT.BLK22 ) .OR. ( INCOL.LT.KTOP ) .OR.
$ ( NDCOL.GT.KBOT ) .OR. ( NS.LE.2 ) ) THEN
*
* ==== Updates not exploiting the 2-by-2 block
* . structure of U. K1 and NU keep track of
* . the location and size of U in the special
* . cases of introducing bulges and chasing
* . bulges off the bottom. In these special
* . cases and in case the number of shifts
* . is NS = 2, there is no 2-by-2 block
* . structure to exploit. ====
*
K1 = MAX( 1, KTOP-INCOL )
NU = ( KDU-MAX( 0, NDCOL-KBOT ) ) - K1 + 1
*
* ==== Horizontal Multiply ====
*
DO 150 JCOL = MIN( NDCOL, KBOT ) + 1, JBOT, NH
JLEN = MIN( NH, JBOT-JCOL+1 )
CALL CGEMM( 'C', 'N', NU, JLEN, NU, ONE, U( K1, K1 ),
$ LDU, H( INCOL+K1, JCOL ), LDH, ZERO, WH,
$ LDWH )
CALL CLACPY( 'ALL', NU, JLEN, WH, LDWH,
$ H( INCOL+K1, JCOL ), LDH )
150 CONTINUE
*
* ==== Vertical multiply ====
*
DO 160 JROW = JTOP, MAX( KTOP, INCOL ) - 1, NV
JLEN = MIN( NV, MAX( KTOP, INCOL )-JROW )
CALL CGEMM( 'N', 'N', JLEN, NU, NU, ONE,
$ H( JROW, INCOL+K1 ), LDH, U( K1, K1 ),
$ LDU, ZERO, WV, LDWV )
CALL CLACPY( 'ALL', JLEN, NU, WV, LDWV,
$ H( JROW, INCOL+K1 ), LDH )
160 CONTINUE
*
* ==== Z multiply (also vertical) ====
*
IF( WANTZ ) THEN
DO 170 JROW = ILOZ, IHIZ, NV
JLEN = MIN( NV, IHIZ-JROW+1 )
CALL CGEMM( 'N', 'N', JLEN, NU, NU, ONE,
$ Z( JROW, INCOL+K1 ), LDZ, U( K1, K1 ),
$ LDU, ZERO, WV, LDWV )
CALL CLACPY( 'ALL', JLEN, NU, WV, LDWV,
$ Z( JROW, INCOL+K1 ), LDZ )
170 CONTINUE
END IF
ELSE
*
* ==== Updates exploiting U's 2-by-2 block structure.
* . (I2, I4, J2, J4 are the last rows and columns
* . of the blocks.) ====
*
I2 = ( KDU+1 ) / 2
I4 = KDU
J2 = I4 - I2
J4 = KDU
*
* ==== KZS and KNZ deal with the band of zeros
* . along the diagonal of one of the triangular
* . blocks. ====
*
KZS = ( J4-J2 ) - ( NS+1 )
KNZ = NS + 1
*
* ==== Horizontal multiply ====
*
DO 180 JCOL = MIN( NDCOL, KBOT ) + 1, JBOT, NH
JLEN = MIN( NH, JBOT-JCOL+1 )
*
* ==== Copy bottom of H to top+KZS of scratch ====
* (The first KZS rows get multiplied by zero.) ====
*
CALL CLACPY( 'ALL', KNZ, JLEN, H( INCOL+1+J2, JCOL ),
$ LDH, WH( KZS+1, 1 ), LDWH )
*
* ==== Multiply by U21' ====
*
CALL CLASET( 'ALL', KZS, JLEN, ZERO, ZERO, WH, LDWH )
CALL CTRMM( 'L', 'U', 'C', 'N', KNZ, JLEN, ONE,
$ U( J2+1, 1+KZS ), LDU, WH( KZS+1, 1 ),
$ LDWH )
*
* ==== Multiply top of H by U11' ====
*
CALL CGEMM( 'C', 'N', I2, JLEN, J2, ONE, U, LDU,
$ H( INCOL+1, JCOL ), LDH, ONE, WH, LDWH )
*
* ==== Copy top of H bottom of WH ====
*
CALL CLACPY( 'ALL', J2, JLEN, H( INCOL+1, JCOL ), LDH,
$ WH( I2+1, 1 ), LDWH )
*
* ==== Multiply by U21' ====
*
CALL CTRMM( 'L', 'L', 'C', 'N', J2, JLEN, ONE,
$ U( 1, I2+1 ), LDU, WH( I2+1, 1 ), LDWH )
*
* ==== Multiply by U22 ====
*
CALL CGEMM( 'C', 'N', I4-I2, JLEN, J4-J2, ONE,
$ U( J2+1, I2+1 ), LDU,
$ H( INCOL+1+J2, JCOL ), LDH, ONE,
$ WH( I2+1, 1 ), LDWH )
*
* ==== Copy it back ====
*
CALL CLACPY( 'ALL', KDU, JLEN, WH, LDWH,
$ H( INCOL+1, JCOL ), LDH )
180 CONTINUE
*
* ==== Vertical multiply ====
*
DO 190 JROW = JTOP, MAX( INCOL, KTOP ) - 1, NV
JLEN = MIN( NV, MAX( INCOL, KTOP )-JROW )
*
* ==== Copy right of H to scratch (the first KZS
* . columns get multiplied by zero) ====
*
CALL CLACPY( 'ALL', JLEN, KNZ, H( JROW, INCOL+1+J2 ),
$ LDH, WV( 1, 1+KZS ), LDWV )
*
* ==== Multiply by U21 ====
*
CALL CLASET( 'ALL', JLEN, KZS, ZERO, ZERO, WV, LDWV )
CALL CTRMM( 'R', 'U', 'N', 'N', JLEN, KNZ, ONE,
$ U( J2+1, 1+KZS ), LDU, WV( 1, 1+KZS ),
$ LDWV )
*
* ==== Multiply by U11 ====
*
CALL CGEMM( 'N', 'N', JLEN, I2, J2, ONE,
$ H( JROW, INCOL+1 ), LDH, U, LDU, ONE, WV,
$ LDWV )
*
* ==== Copy left of H to right of scratch ====
*
CALL CLACPY( 'ALL', JLEN, J2, H( JROW, INCOL+1 ), LDH,
$ WV( 1, 1+I2 ), LDWV )
*
* ==== Multiply by U21 ====
*
CALL CTRMM( 'R', 'L', 'N', 'N', JLEN, I4-I2, ONE,
$ U( 1, I2+1 ), LDU, WV( 1, 1+I2 ), LDWV )
*
* ==== Multiply by U22 ====
*
CALL CGEMM( 'N', 'N', JLEN, I4-I2, J4-J2, ONE,
$ H( JROW, INCOL+1+J2 ), LDH,
$ U( J2+1, I2+1 ), LDU, ONE, WV( 1, 1+I2 ),
$ LDWV )
*
* ==== Copy it back ====
*
CALL CLACPY( 'ALL', JLEN, KDU, WV, LDWV,
$ H( JROW, INCOL+1 ), LDH )
190 CONTINUE
*
* ==== Multiply Z (also vertical) ====
*
IF( WANTZ ) THEN
DO 200 JROW = ILOZ, IHIZ, NV
JLEN = MIN( NV, IHIZ-JROW+1 )
*
* ==== Copy right of Z to left of scratch (first
* . KZS columns get multiplied by zero) ====
*
CALL CLACPY( 'ALL', JLEN, KNZ,
$ Z( JROW, INCOL+1+J2 ), LDZ,
$ WV( 1, 1+KZS ), LDWV )
*
* ==== Multiply by U12 ====
*
CALL CLASET( 'ALL', JLEN, KZS, ZERO, ZERO, WV,
$ LDWV )
CALL CTRMM( 'R', 'U', 'N', 'N', JLEN, KNZ, ONE,
$ U( J2+1, 1+KZS ), LDU, WV( 1, 1+KZS ),
$ LDWV )
*
* ==== Multiply by U11 ====
*
CALL CGEMM( 'N', 'N', JLEN, I2, J2, ONE,
$ Z( JROW, INCOL+1 ), LDZ, U, LDU, ONE,
$ WV, LDWV )
*
* ==== Copy left of Z to right of scratch ====
*
CALL CLACPY( 'ALL', JLEN, J2, Z( JROW, INCOL+1 ),
$ LDZ, WV( 1, 1+I2 ), LDWV )
*
* ==== Multiply by U21 ====
*
CALL CTRMM( 'R', 'L', 'N', 'N', JLEN, I4-I2, ONE,
$ U( 1, I2+1 ), LDU, WV( 1, 1+I2 ),
$ LDWV )
*
* ==== Multiply by U22 ====
*
CALL CGEMM( 'N', 'N', JLEN, I4-I2, J4-J2, ONE,
$ Z( JROW, INCOL+1+J2 ), LDZ,
$ U( J2+1, I2+1 ), LDU, ONE,
$ WV( 1, 1+I2 ), LDWV )
*
* ==== Copy the result back to Z ====
*
CALL CLACPY( 'ALL', JLEN, KDU, WV, LDWV,
$ Z( JROW, INCOL+1 ), LDZ )
200 CONTINUE
END IF
END IF
END IF
210 CONTINUE
*
* ==== End of CLAQR5 ====
*
END