Added arpack with bindings from scipy sandbox.

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2007-10-11 09:45:05 +00:00
parent e932022249
commit e8b1980775
103 changed files with 37986 additions and 0 deletions

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SUBROUTINE CLAHQR( WANTT, WANTZ, N, ILO, IHI, H, LDH, W, ILOZ,
$ IHIZ, Z, LDZ, INFO )
*
* -- LAPACK auxiliary routine (version 2.0) --
* Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
* Courant Institute, Argonne National Lab, and Rice University
* September 30, 1994
*
* .. Scalar Arguments ..
LOGICAL WANTT, WANTZ
INTEGER IHI, IHIZ, ILO, ILOZ, INFO, LDH, LDZ, N
* ..
* .. Array Arguments ..
COMPLEX H( LDH, * ), W( * ), Z( LDZ, * )
* ..
*
* Purpose
* =======
*
* CLAHQR is an auxiliary routine called by CHSEQR to update the
* eigenvalues and Schur decomposition already computed by CHSEQR, by
* dealing with the Hessenberg submatrix in rows and columns ILO to IHI.
*
* Arguments
* =========
*
* WANTT (input) LOGICAL
* = .TRUE. : the full Schur form T is required;
* = .FALSE.: only eigenvalues are required.
*
* WANTZ (input) LOGICAL
* = .TRUE. : the matrix of Schur vectors Z is required;
* = .FALSE.: Schur vectors are not required.
*
* N (input) INTEGER
* The order of the matrix H. N >= 0.
*
* ILO (input) INTEGER
* IHI (input) INTEGER
* It is assumed that H is already upper triangular in rows and
* columns IHI+1:N, and that H(ILO,ILO-1) = 0 (unless ILO = 1).
* CLAHQR works primarily with the Hessenberg submatrix in rows
* and columns ILO to IHI, but applies transformations to all of
* H if WANTT is .TRUE..
* 1 <= ILO <= max(1,IHI); IHI <= N.
*
* H (input/output) COMPLEX array, dimension (LDH,N)
* On entry, the upper Hessenberg matrix H.
* On exit, if WANTT is .TRUE., H is upper triangular in rows
* and columns ILO:IHI, with any 2-by-2 diagonal blocks in
* standard form. If WANTT is .FALSE., the contents of H are
* unspecified on exit.
*
* LDH (input) INTEGER
* The leading dimension of the array H. LDH >= max(1,N).
*
* W (output) COMPLEX array, dimension (N)
* The computed eigenvalues ILO to IHI are stored in the
* corresponding elements of W. If WANTT is .TRUE., the
* eigenvalues are stored in the same order as on the diagonal
* of the Schur form returned in H, with W(i) = H(i,i).
*
* ILOZ (input) INTEGER
* IHIZ (input) INTEGER
* Specify the rows of Z to which transformations must be
* applied if WANTZ is .TRUE..
* 1 <= ILOZ <= ILO; IHI <= IHIZ <= N.
*
* Z (input/output) COMPLEX array, dimension (LDZ,N)
* If WANTZ is .TRUE., on entry Z must contain the current
* matrix Z of transformations accumulated by CHSEQR, and on
* exit Z has been updated; transformations are applied only to
* the submatrix Z(ILOZ:IHIZ,ILO:IHI).
* If WANTZ is .FALSE., Z is not referenced.
*
* LDZ (input) INTEGER
* The leading dimension of the array Z. LDZ >= max(1,N).
*
* INFO (output) INTEGER
* = 0: successful exit
* > 0: if INFO = i, CLAHQR failed to compute all the
* eigenvalues ILO to IHI in a total of 30*(IHI-ILO+1)
* iterations; elements i+1:ihi of W contain those
* eigenvalues which have been successfully computed.
*
* =====================================================================
*
* .. Parameters ..
COMPLEX ZERO, ONE
PARAMETER ( ZERO = ( 0.0E+0, 0.0E+0 ),
$ ONE = ( 1.0E+0, 0.0E+0 ) )
REAL RZERO, HALF
PARAMETER ( RZERO = 0.0E+0, HALF = 0.5E+0 )
* ..
* .. Local Scalars ..
INTEGER I, I1, I2, ITN, ITS, J, K, L, M, NH, NZ
REAL H10, H21, RTEMP, S, SMLNUM, T2, TST1, ULP
COMPLEX CDUM, H11, H11S, H22, SUM, T, T1, TEMP, U, V2,
$ X, Y
* ..
* .. Local Arrays ..
REAL RWORK( 1 )
COMPLEX V( 2 )
* ..
* .. External Functions ..
REAL CLANHS, SLAMCH
COMPLEX CLADIV
EXTERNAL CLANHS, SLAMCH, CLADIV
* ..
* .. External Subroutines ..
EXTERNAL CCOPY, CLARFG, CSCAL
* ..
* .. Intrinsic Functions ..
INTRINSIC ABS, AIMAG, CONJG, MAX, MIN, REAL, SQRT
* ..
* .. Statement Functions ..
REAL CABS1
* ..
* .. Statement Function definitions ..
CABS1( CDUM ) = ABS( REAL( CDUM ) ) + ABS( AIMAG( CDUM ) )
* ..
* .. Executable Statements ..
*
INFO = 0
*
* Quick return if possible
*
IF( N.EQ.0 )
$ RETURN
IF( ILO.EQ.IHI ) THEN
W( ILO ) = H( ILO, ILO )
RETURN
END IF
*
NH = IHI - ILO + 1
NZ = IHIZ - ILOZ + 1
*
* Set machine-dependent constants for the stopping criterion.
* If norm(H) <= sqrt(OVFL), overflow should not occur.
*
ULP = SLAMCH( 'Precision' )
SMLNUM = SLAMCH( 'Safe minimum' ) / ULP
*
* I1 and I2 are the indices of the first row and last column of H
* to which transformations must be applied. If eigenvalues only are
* being computed, I1 and I2 are set inside the main loop.
*
IF( WANTT ) THEN
I1 = 1
I2 = N
END IF
*
* ITN is the total number of QR iterations allowed.
*
ITN = 30*NH
*
* The main loop begins here. I is the loop index and decreases from
* IHI to ILO in steps of 1. Each iteration of the loop works
* with the active submatrix in rows and columns L to I.
* Eigenvalues I+1 to IHI have already converged. Either L = ILO, or
* H(L,L-1) is negligible so that the matrix splits.
*
I = IHI
10 CONTINUE
IF( I.LT.ILO )
$ GO TO 130
*
* Perform QR iterations on rows and columns ILO to I until a
* submatrix of order 1 splits off at the bottom because a
* subdiagonal element has become negligible.
*
L = ILO
DO 110 ITS = 0, ITN
*
* Look for a single small subdiagonal element.
*
DO 20 K = I, L + 1, -1
TST1 = CABS1( H( K-1, K-1 ) ) + CABS1( H( K, K ) )
IF( TST1.EQ.RZERO )
$ TST1 = CLANHS( '1', I-L+1, H( L, L ), LDH, RWORK )
IF( ABS( REAL( H( K, K-1 ) ) ).LE.MAX( ULP*TST1, SMLNUM ) )
$ GO TO 30
20 CONTINUE
30 CONTINUE
L = K
IF( L.GT.ILO ) THEN
*
* H(L,L-1) is negligible
*
H( L, L-1 ) = ZERO
END IF
*
* Exit from loop if a submatrix of order 1 has split off.
*
IF( L.GE.I )
$ GO TO 120
*
* Now the active submatrix is in rows and columns L to I. If
* eigenvalues only are being computed, only the active submatrix
* need be transformed.
*
IF( .NOT.WANTT ) THEN
I1 = L
I2 = I
END IF
*
IF( ITS.EQ.10 .OR. ITS.EQ.20 ) THEN
*
* Exceptional shift.
*
T = ABS( REAL( H( I, I-1 ) ) ) +
$ ABS( REAL( H( I-1, I-2 ) ) )
ELSE
*
* Wilkinson's shift.
*
T = H( I, I )
U = H( I-1, I )*REAL( H( I, I-1 ) )
IF( U.NE.ZERO ) THEN
X = HALF*( H( I-1, I-1 )-T )
Y = SQRT( X*X+U )
IF( REAL( X )*REAL( Y )+AIMAG( X )*AIMAG( Y ).LT.RZERO )
$ Y = -Y
T = T - CLADIV( U, ( X+Y ) )
END IF
END IF
*
* Look for two consecutive small subdiagonal elements.
*
DO 40 M = I - 1, L + 1, -1
*
* Determine the effect of starting the single-shift QR
* iteration at row M, and see if this would make H(M,M-1)
* negligible.
*
H11 = H( M, M )
H22 = H( M+1, M+1 )
H11S = H11 - T
H21 = H( M+1, M )
S = CABS1( H11S ) + ABS( H21 )
H11S = H11S / S
H21 = H21 / S
V( 1 ) = H11S
V( 2 ) = H21
H10 = H( M, M-1 )
TST1 = CABS1( H11S )*( CABS1( H11 )+CABS1( H22 ) )
IF( ABS( H10*H21 ).LE.ULP*TST1 )
$ GO TO 50
40 CONTINUE
H11 = H( L, L )
H22 = H( L+1, L+1 )
H11S = H11 - T
H21 = H( L+1, L )
S = CABS1( H11S ) + ABS( H21 )
H11S = H11S / S
H21 = H21 / S
V( 1 ) = H11S
V( 2 ) = H21
50 CONTINUE
*
* Single-shift QR step
*
DO 100 K = M, I - 1
*
* The first iteration of this loop determines a reflection G
* from the vector V and applies it from left and right to H,
* thus creating a nonzero bulge below the subdiagonal.
*
* Each subsequent iteration determines a reflection G to
* restore the Hessenberg form in the (K-1)th column, and thus
* chases the bulge one step toward the bottom of the active
* submatrix.
*
* V(2) is always real before the call to CLARFG, and hence
* after the call T2 ( = T1*V(2) ) is also real.
*
IF( K.GT.M )
$ CALL CCOPY( 2, H( K, K-1 ), 1, V, 1 )
CALL CLARFG( 2, V( 1 ), V( 2 ), 1, T1 )
IF( K.GT.M ) THEN
H( K, K-1 ) = V( 1 )
H( K+1, K-1 ) = ZERO
END IF
V2 = V( 2 )
T2 = REAL( T1*V2 )
*
* Apply G from the left to transform the rows of the matrix
* in columns K to I2.
*
DO 60 J = K, I2
SUM = CONJG( T1 )*H( K, J ) + T2*H( K+1, J )
H( K, J ) = H( K, J ) - SUM
H( K+1, J ) = H( K+1, J ) - SUM*V2
60 CONTINUE
*
* Apply G from the right to transform the columns of the
* matrix in rows I1 to min(K+2,I).
*
DO 70 J = I1, MIN( K+2, I )
SUM = T1*H( J, K ) + T2*H( J, K+1 )
H( J, K ) = H( J, K ) - SUM
H( J, K+1 ) = H( J, K+1 ) - SUM*CONJG( V2 )
70 CONTINUE
*
IF( WANTZ ) THEN
*
* Accumulate transformations in the matrix Z
*
DO 80 J = ILOZ, IHIZ
SUM = T1*Z( J, K ) + T2*Z( J, K+1 )
Z( J, K ) = Z( J, K ) - SUM
Z( J, K+1 ) = Z( J, K+1 ) - SUM*CONJG( V2 )
80 CONTINUE
END IF
*
IF( K.EQ.M .AND. M.GT.L ) THEN
*
* If the QR step was started at row M > L because two
* consecutive small subdiagonals were found, then extra
* scaling must be performed to ensure that H(M,M-1) remains
* real.
*
TEMP = ONE - T1
TEMP = TEMP / ABS( TEMP )
H( M+1, M ) = H( M+1, M )*CONJG( TEMP )
IF( M+2.LE.I )
$ H( M+2, M+1 ) = H( M+2, M+1 )*TEMP
DO 90 J = M, I
IF( J.NE.M+1 ) THEN
IF( I2.GT.J )
$ CALL CSCAL( I2-J, TEMP, H( J, J+1 ), LDH )
CALL CSCAL( J-I1, CONJG( TEMP ), H( I1, J ), 1 )
IF( WANTZ ) THEN
CALL CSCAL( NZ, CONJG( TEMP ), Z( ILOZ, J ), 1 )
END IF
END IF
90 CONTINUE
END IF
100 CONTINUE
*
* Ensure that H(I,I-1) is real.
*
TEMP = H( I, I-1 )
IF( AIMAG( TEMP ).NE.RZERO ) THEN
RTEMP = ABS( TEMP )
H( I, I-1 ) = RTEMP
TEMP = TEMP / RTEMP
IF( I2.GT.I )
$ CALL CSCAL( I2-I, CONJG( TEMP ), H( I, I+1 ), LDH )
CALL CSCAL( I-I1, TEMP, H( I1, I ), 1 )
IF( WANTZ ) THEN
CALL CSCAL( NZ, TEMP, Z( ILOZ, I ), 1 )
END IF
END IF
*
110 CONTINUE
*
* Failure to converge in remaining number of iterations
*
INFO = I
RETURN
*
120 CONTINUE
*
* H(I,I-1) is negligible: one eigenvalue has converged.
*
W( I ) = H( I, I )
*
* Decrement number of remaining iterations, and return to start of
* the main loop with new value of I.
*
ITN = ITN - ITS
I = L - 1
GO TO 10
*
130 CONTINUE
RETURN
*
* End of CLAHQR
*
END

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SUBROUTINE DLAHQR( WANTT, WANTZ, N, ILO, IHI, H, LDH, WR, WI,
$ ILOZ, IHIZ, Z, LDZ, INFO )
*
* -- LAPACK auxiliary routine (version 2.0) --
* Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
* Courant Institute, Argonne National Lab, and Rice University
* October 31, 1992
*
* .. Scalar Arguments ..
LOGICAL WANTT, WANTZ
INTEGER IHI, IHIZ, ILO, ILOZ, INFO, LDH, LDZ, N
* ..
* .. Array Arguments ..
DOUBLE PRECISION H( LDH, * ), WI( * ), WR( * ), Z( LDZ, * )
* ..
*
* Purpose
* =======
*
* DLAHQR is an auxiliary routine called by DHSEQR to update the
* eigenvalues and Schur decomposition already computed by DHSEQR, by
* dealing with the Hessenberg submatrix in rows and columns ILO to IHI.
*
* Arguments
* =========
*
* WANTT (input) LOGICAL
* = .TRUE. : the full Schur form T is required;
* = .FALSE.: only eigenvalues are required.
*
* WANTZ (input) LOGICAL
* = .TRUE. : the matrix of Schur vectors Z is required;
* = .FALSE.: Schur vectors are not required.
*
* N (input) INTEGER
* The order of the matrix H. N >= 0.
*
* ILO (input) INTEGER
* IHI (input) INTEGER
* It is assumed that H is already upper quasi-triangular in
* rows and columns IHI+1:N, and that H(ILO,ILO-1) = 0 (unless
* ILO = 1). DLAHQR works primarily with the Hessenberg
* submatrix in rows and columns ILO to IHI, but applies
* transformations to all of H if WANTT is .TRUE..
* 1 <= ILO <= max(1,IHI); IHI <= N.
*
* H (input/output) DOUBLE PRECISION array, dimension (LDH,N)
* On entry, the upper Hessenberg matrix H.
* On exit, if WANTT is .TRUE., H is upper quasi-triangular in
* rows and columns ILO:IHI, with any 2-by-2 diagonal blocks in
* standard form. If WANTT is .FALSE., the contents of H are
* unspecified on exit.
*
* LDH (input) INTEGER
* The leading dimension of the array H. LDH >= max(1,N).
*
* WR (output) DOUBLE PRECISION array, dimension (N)
* WI (output) DOUBLE PRECISION array, dimension (N)
* The real and imaginary parts, respectively, of the computed
* eigenvalues ILO to IHI are stored in the corresponding
* elements of WR and WI. If two eigenvalues are computed as a
* complex conjugate pair, they are stored in consecutive
* elements of WR and WI, say the i-th and (i+1)th, with
* WI(i) > 0 and WI(i+1) < 0. If WANTT is .TRUE., the
* eigenvalues are stored in the same order as on the diagonal
* of the Schur form returned in H, with WR(i) = H(i,i), and, if
* H(i:i+1,i:i+1) is a 2-by-2 diagonal block,
* WI(i) = sqrt(H(i+1,i)*H(i,i+1)) and WI(i+1) = -WI(i).
*
* ILOZ (input) INTEGER
* IHIZ (input) INTEGER
* Specify the rows of Z to which transformations must be
* applied if WANTZ is .TRUE..
* 1 <= ILOZ <= ILO; IHI <= IHIZ <= N.
*
* Z (input/output) DOUBLE PRECISION array, dimension (LDZ,N)
* If WANTZ is .TRUE., on entry Z must contain the current
* matrix Z of transformations accumulated by DHSEQR, and on
* exit Z has been updated; transformations are applied only to
* the submatrix Z(ILOZ:IHIZ,ILO:IHI).
* If WANTZ is .FALSE., Z is not referenced.
*
* LDZ (input) INTEGER
* The leading dimension of the array Z. LDZ >= max(1,N).
*
* INFO (output) INTEGER
* = 0: successful exit
* > 0: DLAHQR failed to compute all the eigenvalues ILO to IHI
* in a total of 30*(IHI-ILO+1) iterations; if INFO = i,
* elements i+1:ihi of WR and WI contain those eigenvalues
* which have been successfully computed.
*
* =====================================================================
*
* .. Parameters ..
DOUBLE PRECISION ZERO, ONE
PARAMETER ( ZERO = 0.0D+0, ONE = 1.0D+0 )
DOUBLE PRECISION DAT1, DAT2
PARAMETER ( DAT1 = 0.75D+0, DAT2 = -0.4375D+0 )
* ..
* .. Local Scalars ..
INTEGER I, I1, I2, ITN, ITS, J, K, L, M, NH, NR, NZ
DOUBLE PRECISION CS, H00, H10, H11, H12, H21, H22, H33, H33S,
$ H43H34, H44, H44S, OVFL, S, SMLNUM, SN, SUM,
$ T1, T2, T3, TST1, ULP, UNFL, V1, V2, V3
* ..
* .. Local Arrays ..
DOUBLE PRECISION V( 3 ), WORK( 1 )
* ..
* .. External Functions ..
DOUBLE PRECISION DLAMCH, DLANHS
EXTERNAL DLAMCH, DLANHS
* ..
* .. External Subroutines ..
EXTERNAL DCOPY, DLABAD, DLANV2, DLARFG, DROT
* ..
* .. Intrinsic Functions ..
INTRINSIC ABS, MAX, MIN
* ..
* .. Executable Statements ..
*
INFO = 0
*
* Quick return if possible
*
IF( N.EQ.0 )
$ RETURN
IF( ILO.EQ.IHI ) THEN
WR( ILO ) = H( ILO, ILO )
WI( ILO ) = ZERO
RETURN
END IF
*
NH = IHI - ILO + 1
NZ = IHIZ - ILOZ + 1
*
* Set machine-dependent constants for the stopping criterion.
* If norm(H) <= sqrt(OVFL), overflow should not occur.
*
UNFL = DLAMCH( 'Safe minimum' )
OVFL = ONE / UNFL
CALL DLABAD( UNFL, OVFL )
ULP = DLAMCH( 'Precision' )
SMLNUM = UNFL*( NH / ULP )
*
* I1 and I2 are the indices of the first row and last column of H
* to which transformations must be applied. If eigenvalues only are
* being computed, I1 and I2 are set inside the main loop.
*
IF( WANTT ) THEN
I1 = 1
I2 = N
END IF
*
* ITN is the total number of QR iterations allowed.
*
ITN = 30*NH
*
* The main loop begins here. I is the loop index and decreases from
* IHI to ILO in steps of 1 or 2. Each iteration of the loop works
* with the active submatrix in rows and columns L to I.
* Eigenvalues I+1 to IHI have already converged. Either L = ILO or
* H(L,L-1) is negligible so that the matrix splits.
*
I = IHI
10 CONTINUE
L = ILO
IF( I.LT.ILO )
$ GO TO 150
*
* Perform QR iterations on rows and columns ILO to I until a
* submatrix of order 1 or 2 splits off at the bottom because a
* subdiagonal element has become negligible.
*
DO 130 ITS = 0, ITN
*
* Look for a single small subdiagonal element.
*
DO 20 K = I, L + 1, -1
TST1 = ABS( H( K-1, K-1 ) ) + ABS( H( K, K ) )
IF( TST1.EQ.ZERO )
$ TST1 = DLANHS( '1', I-L+1, H( L, L ), LDH, WORK )
IF( ABS( H( K, K-1 ) ).LE.MAX( ULP*TST1, SMLNUM ) )
$ GO TO 30
20 CONTINUE
30 CONTINUE
L = K
IF( L.GT.ILO ) THEN
*
* H(L,L-1) is negligible
*
H( L, L-1 ) = ZERO
END IF
*
* Exit from loop if a submatrix of order 1 or 2 has split off.
*
IF( L.GE.I-1 )
$ GO TO 140
*
* Now the active submatrix is in rows and columns L to I. If
* eigenvalues only are being computed, only the active submatrix
* need be transformed.
*
IF( .NOT.WANTT ) THEN
I1 = L
I2 = I
END IF
*
IF( ITS.EQ.10 .OR. ITS.EQ.20 ) THEN
*
* Exceptional shift.
*
S = ABS( H( I, I-1 ) ) + ABS( H( I-1, I-2 ) )
H44 = DAT1*S
H33 = H44
H43H34 = DAT2*S*S
ELSE
*
* Prepare to use Wilkinson's double shift
*
H44 = H( I, I )
H33 = H( I-1, I-1 )
H43H34 = H( I, I-1 )*H( I-1, I )
END IF
*
* Look for two consecutive small subdiagonal elements.
*
DO 40 M = I - 2, L, -1
*
* Determine the effect of starting the double-shift QR
* iteration at row M, and see if this would make H(M,M-1)
* negligible.
*
H11 = H( M, M )
H22 = H( M+1, M+1 )
H21 = H( M+1, M )
H12 = H( M, M+1 )
H44S = H44 - H11
H33S = H33 - H11
V1 = ( H33S*H44S-H43H34 ) / H21 + H12
V2 = H22 - H11 - H33S - H44S
V3 = H( M+2, M+1 )
S = ABS( V1 ) + ABS( V2 ) + ABS( V3 )
V1 = V1 / S
V2 = V2 / S
V3 = V3 / S
V( 1 ) = V1
V( 2 ) = V2
V( 3 ) = V3
IF( M.EQ.L )
$ GO TO 50
H00 = H( M-1, M-1 )
H10 = H( M, M-1 )
TST1 = ABS( V1 )*( ABS( H00 )+ABS( H11 )+ABS( H22 ) )
IF( ABS( H10 )*( ABS( V2 )+ABS( V3 ) ).LE.ULP*TST1 )
$ GO TO 50
40 CONTINUE
50 CONTINUE
*
* Double-shift QR step
*
DO 120 K = M, I - 1
*
* The first iteration of this loop determines a reflection G
* from the vector V and applies it from left and right to H,
* thus creating a nonzero bulge below the subdiagonal.
*
* Each subsequent iteration determines a reflection G to
* restore the Hessenberg form in the (K-1)th column, and thus
* chases the bulge one step toward the bottom of the active
* submatrix. NR is the order of G.
*
NR = MIN( 3, I-K+1 )
IF( K.GT.M )
$ CALL DCOPY( NR, H( K, K-1 ), 1, V, 1 )
CALL DLARFG( NR, V( 1 ), V( 2 ), 1, T1 )
IF( K.GT.M ) THEN
H( K, K-1 ) = V( 1 )
H( K+1, K-1 ) = ZERO
IF( K.LT.I-1 )
$ H( K+2, K-1 ) = ZERO
ELSE IF( M.GT.L ) THEN
H( K, K-1 ) = -H( K, K-1 )
END IF
V2 = V( 2 )
T2 = T1*V2
IF( NR.EQ.3 ) THEN
V3 = V( 3 )
T3 = T1*V3
*
* Apply G from the left to transform the rows of the matrix
* in columns K to I2.
*
DO 60 J = K, I2
SUM = H( K, J ) + V2*H( K+1, J ) + V3*H( K+2, J )
H( K, J ) = H( K, J ) - SUM*T1
H( K+1, J ) = H( K+1, J ) - SUM*T2
H( K+2, J ) = H( K+2, J ) - SUM*T3
60 CONTINUE
*
* Apply G from the right to transform the columns of the
* matrix in rows I1 to min(K+3,I).
*
DO 70 J = I1, MIN( K+3, I )
SUM = H( J, K ) + V2*H( J, K+1 ) + V3*H( J, K+2 )
H( J, K ) = H( J, K ) - SUM*T1
H( J, K+1 ) = H( J, K+1 ) - SUM*T2
H( J, K+2 ) = H( J, K+2 ) - SUM*T3
70 CONTINUE
*
IF( WANTZ ) THEN
*
* Accumulate transformations in the matrix Z
*
DO 80 J = ILOZ, IHIZ
SUM = Z( J, K ) + V2*Z( J, K+1 ) + V3*Z( J, K+2 )
Z( J, K ) = Z( J, K ) - SUM*T1
Z( J, K+1 ) = Z( J, K+1 ) - SUM*T2
Z( J, K+2 ) = Z( J, K+2 ) - SUM*T3
80 CONTINUE
END IF
ELSE IF( NR.EQ.2 ) THEN
*
* Apply G from the left to transform the rows of the matrix
* in columns K to I2.
*
DO 90 J = K, I2
SUM = H( K, J ) + V2*H( K+1, J )
H( K, J ) = H( K, J ) - SUM*T1
H( K+1, J ) = H( K+1, J ) - SUM*T2
90 CONTINUE
*
* Apply G from the right to transform the columns of the
* matrix in rows I1 to min(K+3,I).
*
DO 100 J = I1, I
SUM = H( J, K ) + V2*H( J, K+1 )
H( J, K ) = H( J, K ) - SUM*T1
H( J, K+1 ) = H( J, K+1 ) - SUM*T2
100 CONTINUE
*
IF( WANTZ ) THEN
*
* Accumulate transformations in the matrix Z
*
DO 110 J = ILOZ, IHIZ
SUM = Z( J, K ) + V2*Z( J, K+1 )
Z( J, K ) = Z( J, K ) - SUM*T1
Z( J, K+1 ) = Z( J, K+1 ) - SUM*T2
110 CONTINUE
END IF
END IF
120 CONTINUE
*
130 CONTINUE
*
* Failure to converge in remaining number of iterations
*
INFO = I
RETURN
*
140 CONTINUE
*
IF( L.EQ.I ) THEN
*
* H(I,I-1) is negligible: one eigenvalue has converged.
*
WR( I ) = H( I, I )
WI( I ) = ZERO
ELSE IF( L.EQ.I-1 ) THEN
*
* H(I-1,I-2) is negligible: a pair of eigenvalues have converged.
*
* Transform the 2-by-2 submatrix to standard Schur form,
* and compute and store the eigenvalues.
*
CALL DLANV2( H( I-1, I-1 ), H( I-1, I ), H( I, I-1 ),
$ H( I, I ), WR( I-1 ), WI( I-1 ), WR( I ), WI( I ),
$ CS, SN )
*
IF( WANTT ) THEN
*
* Apply the transformation to the rest of H.
*
IF( I2.GT.I )
$ CALL DROT( I2-I, H( I-1, I+1 ), LDH, H( I, I+1 ), LDH,
$ CS, SN )
CALL DROT( I-I1-1, H( I1, I-1 ), 1, H( I1, I ), 1, CS, SN )
END IF
IF( WANTZ ) THEN
*
* Apply the transformation to Z.
*
CALL DROT( NZ, Z( ILOZ, I-1 ), 1, Z( ILOZ, I ), 1, CS, SN )
END IF
END IF
*
* Decrement number of remaining iterations, and return to start of
* the main loop with new value of I.
*
ITN = ITN - ITS
I = L - 1
GO TO 10
*
150 CONTINUE
RETURN
*
* End of DLAHQR
*
END

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@@ -0,0 +1,410 @@
SUBROUTINE SLAHQR( WANTT, WANTZ, N, ILO, IHI, H, LDH, WR, WI,
$ ILOZ, IHIZ, Z, LDZ, INFO )
*
* -- LAPACK auxiliary routine (version 2.0) --
* Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
* Courant Institute, Argonne National Lab, and Rice University
* October 31, 1992
*
* .. Scalar Arguments ..
LOGICAL WANTT, WANTZ
INTEGER IHI, IHIZ, ILO, ILOZ, INFO, LDH, LDZ, N
* ..
* .. Array Arguments ..
REAL H( LDH, * ), WI( * ), WR( * ), Z( LDZ, * )
* ..
*
* Purpose
* =======
*
* SLAHQR is an auxiliary routine called by SHSEQR to update the
* eigenvalues and Schur decomposition already computed by SHSEQR, by
* dealing with the Hessenberg submatrix in rows and columns ILO to IHI.
*
* Arguments
* =========
*
* WANTT (input) LOGICAL
* = .TRUE. : the full Schur form T is required;
* = .FALSE.: only eigenvalues are required.
*
* WANTZ (input) LOGICAL
* = .TRUE. : the matrix of Schur vectors Z is required;
* = .FALSE.: Schur vectors are not required.
*
* N (input) INTEGER
* The order of the matrix H. N >= 0.
*
* ILO (input) INTEGER
* IHI (input) INTEGER
* It is assumed that H is already upper quasi-triangular in
* rows and columns IHI+1:N, and that H(ILO,ILO-1) = 0 (unless
* ILO = 1). SLAHQR works primarily with the Hessenberg
* submatrix in rows and columns ILO to IHI, but applies
* transformations to all of H if WANTT is .TRUE..
* 1 <= ILO <= max(1,IHI); IHI <= N.
*
* H (input/output) REAL array, dimension (LDH,N)
* On entry, the upper Hessenberg matrix H.
* On exit, if WANTT is .TRUE., H is upper quasi-triangular in
* rows and columns ILO:IHI, with any 2-by-2 diagonal blocks in
* standard form. If WANTT is .FALSE., the contents of H are
* unspecified on exit.
*
* LDH (input) INTEGER
* The leading dimension of the array H. LDH >= max(1,N).
*
* WR (output) REAL array, dimension (N)
* WI (output) REAL array, dimension (N)
* The real and imaginary parts, respectively, of the computed
* eigenvalues ILO to IHI are stored in the corresponding
* elements of WR and WI. If two eigenvalues are computed as a
* complex conjugate pair, they are stored in consecutive
* elements of WR and WI, say the i-th and (i+1)th, with
* WI(i) > 0 and WI(i+1) < 0. If WANTT is .TRUE., the
* eigenvalues are stored in the same order as on the diagonal
* of the Schur form returned in H, with WR(i) = H(i,i), and, if
* H(i:i+1,i:i+1) is a 2-by-2 diagonal block,
* WI(i) = sqrt(H(i+1,i)*H(i,i+1)) and WI(i+1) = -WI(i).
*
* ILOZ (input) INTEGER
* IHIZ (input) INTEGER
* Specify the rows of Z to which transformations must be
* applied if WANTZ is .TRUE..
* 1 <= ILOZ <= ILO; IHI <= IHIZ <= N.
*
* Z (input/output) REAL array, dimension (LDZ,N)
* If WANTZ is .TRUE., on entry Z must contain the current
* matrix Z of transformations accumulated by SHSEQR, and on
* exit Z has been updated; transformations are applied only to
* the submatrix Z(ILOZ:IHIZ,ILO:IHI).
* If WANTZ is .FALSE., Z is not referenced.
*
* LDZ (input) INTEGER
* The leading dimension of the array Z. LDZ >= max(1,N).
*
* INFO (output) INTEGER
* = 0: successful exit
* > 0: SLAHQR failed to compute all the eigenvalues ILO to IHI
* in a total of 30*(IHI-ILO+1) iterations; if INFO = i,
* elements i+1:ihi of WR and WI contain those eigenvalues
* which have been successfully computed.
*
* =====================================================================
*
* .. Parameters ..
REAL ZERO, ONE
PARAMETER ( ZERO = 0.0E+0, ONE = 1.0E+0 )
REAL DAT1, DAT2
PARAMETER ( DAT1 = 0.75E+0, DAT2 = -0.4375E+0 )
* ..
* .. Local Scalars ..
INTEGER I, I1, I2, ITN, ITS, J, K, L, M, NH, NR, NZ
REAL CS, H00, H10, H11, H12, H21, H22, H33, H33S,
$ H43H34, H44, H44S, OVFL, S, SMLNUM, SN, SUM,
$ T1, T2, T3, TST1, ULP, UNFL, V1, V2, V3
* ..
* .. Local Arrays ..
REAL V( 3 ), WORK( 1 )
* ..
* .. External Functions ..
REAL SLAMCH, SLANHS
EXTERNAL SLAMCH, SLANHS
* ..
* .. External Subroutines ..
EXTERNAL SCOPY, SLABAD, SLANV2, SLARFG, SROT
* ..
* .. Intrinsic Functions ..
INTRINSIC ABS, MAX, MIN
* ..
* .. Executable Statements ..
*
INFO = 0
*
* Quick return if possible
*
IF( N.EQ.0 )
$ RETURN
IF( ILO.EQ.IHI ) THEN
WR( ILO ) = H( ILO, ILO )
WI( ILO ) = ZERO
RETURN
END IF
*
NH = IHI - ILO + 1
NZ = IHIZ - ILOZ + 1
*
* Set machine-dependent constants for the stopping criterion.
* If norm(H) <= sqrt(OVFL), overflow should not occur.
*
UNFL = SLAMCH( 'Safe minimum' )
OVFL = ONE / UNFL
CALL SLABAD( UNFL, OVFL )
ULP = SLAMCH( 'Precision' )
SMLNUM = UNFL*( NH / ULP )
*
* I1 and I2 are the indices of the first row and last column of H
* to which transformations must be applied. If eigenvalues only are
* being computed, I1 and I2 are set inside the main loop.
*
IF( WANTT ) THEN
I1 = 1
I2 = N
END IF
*
* ITN is the total number of QR iterations allowed.
*
ITN = 30*NH
*
* The main loop begins here. I is the loop index and decreases from
* IHI to ILO in steps of 1 or 2. Each iteration of the loop works
* with the active submatrix in rows and columns L to I.
* Eigenvalues I+1 to IHI have already converged. Either L = ILO or
* H(L,L-1) is negligible so that the matrix splits.
*
I = IHI
10 CONTINUE
L = ILO
IF( I.LT.ILO )
$ GO TO 150
*
* Perform QR iterations on rows and columns ILO to I until a
* submatrix of order 1 or 2 splits off at the bottom because a
* subdiagonal element has become negligible.
*
DO 130 ITS = 0, ITN
*
* Look for a single small subdiagonal element.
*
DO 20 K = I, L + 1, -1
TST1 = ABS( H( K-1, K-1 ) ) + ABS( H( K, K ) )
IF( TST1.EQ.ZERO )
$ TST1 = SLANHS( '1', I-L+1, H( L, L ), LDH, WORK )
IF( ABS( H( K, K-1 ) ).LE.MAX( ULP*TST1, SMLNUM ) )
$ GO TO 30
20 CONTINUE
30 CONTINUE
L = K
IF( L.GT.ILO ) THEN
*
* H(L,L-1) is negligible
*
H( L, L-1 ) = ZERO
END IF
*
* Exit from loop if a submatrix of order 1 or 2 has split off.
*
IF( L.GE.I-1 )
$ GO TO 140
*
* Now the active submatrix is in rows and columns L to I. If
* eigenvalues only are being computed, only the active submatrix
* need be transformed.
*
IF( .NOT.WANTT ) THEN
I1 = L
I2 = I
END IF
*
IF( ITS.EQ.10 .OR. ITS.EQ.20 ) THEN
*
* Exceptional shift.
*
S = ABS( H( I, I-1 ) ) + ABS( H( I-1, I-2 ) )
H44 = DAT1*S
H33 = H44
H43H34 = DAT2*S*S
ELSE
*
* Prepare to use Wilkinson's double shift
*
H44 = H( I, I )
H33 = H( I-1, I-1 )
H43H34 = H( I, I-1 )*H( I-1, I )
END IF
*
* Look for two consecutive small subdiagonal elements.
*
DO 40 M = I - 2, L, -1
*
* Determine the effect of starting the double-shift QR
* iteration at row M, and see if this would make H(M,M-1)
* negligible.
*
H11 = H( M, M )
H22 = H( M+1, M+1 )
H21 = H( M+1, M )
H12 = H( M, M+1 )
H44S = H44 - H11
H33S = H33 - H11
V1 = ( H33S*H44S-H43H34 ) / H21 + H12
V2 = H22 - H11 - H33S - H44S
V3 = H( M+2, M+1 )
S = ABS( V1 ) + ABS( V2 ) + ABS( V3 )
V1 = V1 / S
V2 = V2 / S
V3 = V3 / S
V( 1 ) = V1
V( 2 ) = V2
V( 3 ) = V3
IF( M.EQ.L )
$ GO TO 50
H00 = H( M-1, M-1 )
H10 = H( M, M-1 )
TST1 = ABS( V1 )*( ABS( H00 )+ABS( H11 )+ABS( H22 ) )
IF( ABS( H10 )*( ABS( V2 )+ABS( V3 ) ).LE.ULP*TST1 )
$ GO TO 50
40 CONTINUE
50 CONTINUE
*
* Double-shift QR step
*
DO 120 K = M, I - 1
*
* The first iteration of this loop determines a reflection G
* from the vector V and applies it from left and right to H,
* thus creating a nonzero bulge below the subdiagonal.
*
* Each subsequent iteration determines a reflection G to
* restore the Hessenberg form in the (K-1)th column, and thus
* chases the bulge one step toward the bottom of the active
* submatrix. NR is the order of G.
*
NR = MIN( 3, I-K+1 )
IF( K.GT.M )
$ CALL SCOPY( NR, H( K, K-1 ), 1, V, 1 )
CALL SLARFG( NR, V( 1 ), V( 2 ), 1, T1 )
IF( K.GT.M ) THEN
H( K, K-1 ) = V( 1 )
H( K+1, K-1 ) = ZERO
IF( K.LT.I-1 )
$ H( K+2, K-1 ) = ZERO
ELSE IF( M.GT.L ) THEN
H( K, K-1 ) = -H( K, K-1 )
END IF
V2 = V( 2 )
T2 = T1*V2
IF( NR.EQ.3 ) THEN
V3 = V( 3 )
T3 = T1*V3
*
* Apply G from the left to transform the rows of the matrix
* in columns K to I2.
*
DO 60 J = K, I2
SUM = H( K, J ) + V2*H( K+1, J ) + V3*H( K+2, J )
H( K, J ) = H( K, J ) - SUM*T1
H( K+1, J ) = H( K+1, J ) - SUM*T2
H( K+2, J ) = H( K+2, J ) - SUM*T3
60 CONTINUE
*
* Apply G from the right to transform the columns of the
* matrix in rows I1 to min(K+3,I).
*
DO 70 J = I1, MIN( K+3, I )
SUM = H( J, K ) + V2*H( J, K+1 ) + V3*H( J, K+2 )
H( J, K ) = H( J, K ) - SUM*T1
H( J, K+1 ) = H( J, K+1 ) - SUM*T2
H( J, K+2 ) = H( J, K+2 ) - SUM*T3
70 CONTINUE
*
IF( WANTZ ) THEN
*
* Accumulate transformations in the matrix Z
*
DO 80 J = ILOZ, IHIZ
SUM = Z( J, K ) + V2*Z( J, K+1 ) + V3*Z( J, K+2 )
Z( J, K ) = Z( J, K ) - SUM*T1
Z( J, K+1 ) = Z( J, K+1 ) - SUM*T2
Z( J, K+2 ) = Z( J, K+2 ) - SUM*T3
80 CONTINUE
END IF
ELSE IF( NR.EQ.2 ) THEN
*
* Apply G from the left to transform the rows of the matrix
* in columns K to I2.
*
DO 90 J = K, I2
SUM = H( K, J ) + V2*H( K+1, J )
H( K, J ) = H( K, J ) - SUM*T1
H( K+1, J ) = H( K+1, J ) - SUM*T2
90 CONTINUE
*
* Apply G from the right to transform the columns of the
* matrix in rows I1 to min(K+3,I).
*
DO 100 J = I1, I
SUM = H( J, K ) + V2*H( J, K+1 )
H( J, K ) = H( J, K ) - SUM*T1
H( J, K+1 ) = H( J, K+1 ) - SUM*T2
100 CONTINUE
*
IF( WANTZ ) THEN
*
* Accumulate transformations in the matrix Z
*
DO 110 J = ILOZ, IHIZ
SUM = Z( J, K ) + V2*Z( J, K+1 )
Z( J, K ) = Z( J, K ) - SUM*T1
Z( J, K+1 ) = Z( J, K+1 ) - SUM*T2
110 CONTINUE
END IF
END IF
120 CONTINUE
*
130 CONTINUE
*
* Failure to converge in remaining number of iterations
*
INFO = I
RETURN
*
140 CONTINUE
*
IF( L.EQ.I ) THEN
*
* H(I,I-1) is negligible: one eigenvalue has converged.
*
WR( I ) = H( I, I )
WI( I ) = ZERO
ELSE IF( L.EQ.I-1 ) THEN
*
* H(I-1,I-2) is negligible: a pair of eigenvalues have converged.
*
* Transform the 2-by-2 submatrix to standard Schur form,
* and compute and store the eigenvalues.
*
CALL SLANV2( H( I-1, I-1 ), H( I-1, I ), H( I, I-1 ),
$ H( I, I ), WR( I-1 ), WI( I-1 ), WR( I ), WI( I ),
$ CS, SN )
*
IF( WANTT ) THEN
*
* Apply the transformation to the rest of H.
*
IF( I2.GT.I )
$ CALL SROT( I2-I, H( I-1, I+1 ), LDH, H( I, I+1 ), LDH,
$ CS, SN )
CALL SROT( I-I1-1, H( I1, I-1 ), 1, H( I1, I ), 1, CS, SN )
END IF
IF( WANTZ ) THEN
*
* Apply the transformation to Z.
*
CALL SROT( NZ, Z( ILOZ, I-1 ), 1, Z( ILOZ, I ), 1, CS, SN )
END IF
END IF
*
* Decrement number of remaining iterations, and return to start of
* the main loop with new value of I.
*
ITN = ITN - ITS
I = L - 1
GO TO 10
*
150 CONTINUE
RETURN
*
* End of SLAHQR
*
END

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@@ -0,0 +1,385 @@
SUBROUTINE ZLAHQR( WANTT, WANTZ, N, ILO, IHI, H, LDH, W, ILOZ,
$ IHIZ, Z, LDZ, INFO )
*
* -- LAPACK auxiliary routine (version 2.0) --
* Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
* Courant Institute, Argonne National Lab, and Rice University
* September 30, 1994
*
* .. Scalar Arguments ..
LOGICAL WANTT, WANTZ
INTEGER IHI, IHIZ, ILO, ILOZ, INFO, LDH, LDZ, N
* ..
* .. Array Arguments ..
COMPLEX*16 H( LDH, * ), W( * ), Z( LDZ, * )
* ..
*
* Purpose
* =======
*
* ZLAHQR is an auxiliary routine called by CHSEQR to update the
* eigenvalues and Schur decomposition already computed by CHSEQR, by
* dealing with the Hessenberg submatrix in rows and columns ILO to IHI.
*
* Arguments
* =========
*
* WANTT (input) LOGICAL
* = .TRUE. : the full Schur form T is required;
* = .FALSE.: only eigenvalues are required.
*
* WANTZ (input) LOGICAL
* = .TRUE. : the matrix of Schur vectors Z is required;
* = .FALSE.: Schur vectors are not required.
*
* N (input) INTEGER
* The order of the matrix H. N >= 0.
*
* ILO (input) INTEGER
* IHI (input) INTEGER
* It is assumed that H is already upper triangular in rows and
* columns IHI+1:N, and that H(ILO,ILO-1) = 0 (unless ILO = 1).
* ZLAHQR works primarily with the Hessenberg submatrix in rows
* and columns ILO to IHI, but applies transformations to all of
* H if WANTT is .TRUE..
* 1 <= ILO <= max(1,IHI); IHI <= N.
*
* H (input/output) COMPLEX*16 array, dimension (LDH,N)
* On entry, the upper Hessenberg matrix H.
* On exit, if WANTT is .TRUE., H is upper triangular in rows
* and columns ILO:IHI, with any 2-by-2 diagonal blocks in
* standard form. If WANTT is .FALSE., the contents of H are
* unspecified on exit.
*
* LDH (input) INTEGER
* The leading dimension of the array H. LDH >= max(1,N).
*
* W (output) COMPLEX*16 array, dimension (N)
* The computed eigenvalues ILO to IHI are stored in the
* corresponding elements of W. If WANTT is .TRUE., the
* eigenvalues are stored in the same order as on the diagonal
* of the Schur form returned in H, with W(i) = H(i,i).
*
* ILOZ (input) INTEGER
* IHIZ (input) INTEGER
* Specify the rows of Z to which transformations must be
* applied if WANTZ is .TRUE..
* 1 <= ILOZ <= ILO; IHI <= IHIZ <= N.
*
* Z (input/output) COMPLEX*16 array, dimension (LDZ,N)
* If WANTZ is .TRUE., on entry Z must contain the current
* matrix Z of transformations accumulated by CHSEQR, and on
* exit Z has been updated; transformations are applied only to
* the submatrix Z(ILOZ:IHIZ,ILO:IHI).
* If WANTZ is .FALSE., Z is not referenced.
*
* LDZ (input) INTEGER
* The leading dimension of the array Z. LDZ >= max(1,N).
*
* INFO (output) INTEGER
* = 0: successful exit
* > 0: if INFO = i, ZLAHQR failed to compute all the
* eigenvalues ILO to IHI in a total of 30*(IHI-ILO+1)
* iterations; elements i+1:ihi of W contain those
* eigenvalues which have been successfully computed.
*
* =====================================================================
*
* .. Parameters ..
COMPLEX*16 ZERO, ONE
PARAMETER ( ZERO = ( 0.0D+0, 0.0D+0 ),
$ ONE = ( 1.0D+0, 0.0D+0 ) )
DOUBLE PRECISION RZERO, HALF
PARAMETER ( RZERO = 0.0D+0, HALF = 0.5D+0 )
* ..
* .. Local Scalars ..
INTEGER I, I1, I2, ITN, ITS, J, K, L, M, NH, NZ
DOUBLE PRECISION H10, H21, RTEMP, S, SMLNUM, T2, TST1, ULP
COMPLEX*16 CDUM, H11, H11S, H22, SUM, T, T1, TEMP, U, V2,
$ X, Y
* ..
* .. Local Arrays ..
DOUBLE PRECISION RWORK( 1 )
COMPLEX*16 V( 2 )
* ..
* .. External Functions ..
DOUBLE PRECISION ZLANHS, DLAMCH
COMPLEX*16 ZLADIV
EXTERNAL ZLANHS, DLAMCH, ZLADIV
* ..
* .. External Subroutines ..
EXTERNAL ZCOPY, ZLARFG, ZSCAL
* ..
* .. Intrinsic Functions ..
INTRINSIC ABS, DIMAG, DCONJG, MAX, MIN, DBLE, SQRT
* ..
* .. Statement Functions ..
DOUBLE PRECISION CABS1
* ..
* .. Statement Function definitions ..
CABS1( CDUM ) = ABS( DBLE( CDUM ) ) + ABS( DIMAG( CDUM ) )
* ..
* .. Executable Statements ..
*
INFO = 0
*
* Quick return if possible
*
IF( N.EQ.0 )
$ RETURN
IF( ILO.EQ.IHI ) THEN
W( ILO ) = H( ILO, ILO )
RETURN
END IF
*
NH = IHI - ILO + 1
NZ = IHIZ - ILOZ + 1
*
* Set machine-dependent constants for the stopping criterion.
* If norm(H) <= sqrt(OVFL), overflow should not occur.
*
ULP = DLAMCH( 'Precision' )
SMLNUM = DLAMCH( 'Safe minimum' ) / ULP
*
* I1 and I2 are the indices of the first row and last column of H
* to which transformations must be applied. If eigenvalues only are
* being computed, I1 and I2 are set inside the main loop.
*
IF( WANTT ) THEN
I1 = 1
I2 = N
END IF
*
* ITN is the total number of QR iterations allowed.
*
ITN = 30*NH
*
* The main loop begins here. I is the loop index and decreases from
* IHI to ILO in steps of 1. Each iteration of the loop works
* with the active submatrix in rows and columns L to I.
* Eigenvalues I+1 to IHI have already converged. Either L = ILO, or
* H(L,L-1) is negligible so that the matrix splits.
*
I = IHI
10 CONTINUE
IF( I.LT.ILO )
$ GO TO 130
*
* Perform QR iterations on rows and columns ILO to I until a
* submatrix of order 1 splits off at the bottom because a
* subdiagonal element has become negligible.
*
L = ILO
DO 110 ITS = 0, ITN
*
* Look for a single small subdiagonal element.
*
DO 20 K = I, L + 1, -1
TST1 = CABS1( H( K-1, K-1 ) ) + CABS1( H( K, K ) )
IF( TST1.EQ.RZERO )
$ TST1 = ZLANHS( '1', I-L+1, H( L, L ), LDH, RWORK )
IF( ABS( DBLE( H( K, K-1 ) ) ).LE.MAX( ULP*TST1, SMLNUM ) )
$ GO TO 30
20 CONTINUE
30 CONTINUE
L = K
IF( L.GT.ILO ) THEN
*
* H(L,L-1) is negligible
*
H( L, L-1 ) = ZERO
END IF
*
* Exit from loop if a submatrix of order 1 has split off.
*
IF( L.GE.I )
$ GO TO 120
*
* Now the active submatrix is in rows and columns L to I. If
* eigenvalues only are being computed, only the active submatrix
* need be transformed.
*
IF( .NOT.WANTT ) THEN
I1 = L
I2 = I
END IF
*
IF( ITS.EQ.10 .OR. ITS.EQ.20 ) THEN
*
* Exceptional shift.
*
T = ABS( DBLE( H( I, I-1 ) ) ) +
$ ABS( DBLE( H( I-1, I-2 ) ) )
ELSE
*
* Wilkinson's shift.
*
T = H( I, I )
U = H( I-1, I )*DBLE( H( I, I-1 ) )
IF( U.NE.ZERO ) THEN
X = HALF*( H( I-1, I-1 )-T )
Y = SQRT( X*X+U )
IF( DBLE( X )*DBLE( Y )+DIMAG( X )*DIMAG( Y ).LT.RZERO )
$ Y = -Y
T = T - ZLADIV( U, ( X+Y ) )
END IF
END IF
*
* Look for two consecutive small subdiagonal elements.
*
DO 40 M = I - 1, L + 1, -1
*
* Determine the effect of starting the single-shift QR
* iteration at row M, and see if this would make H(M,M-1)
* negligible.
*
H11 = H( M, M )
H22 = H( M+1, M+1 )
H11S = H11 - T
H21 = H( M+1, M )
S = CABS1( H11S ) + ABS( H21 )
H11S = H11S / S
H21 = H21 / S
V( 1 ) = H11S
V( 2 ) = H21
H10 = H( M, M-1 )
TST1 = CABS1( H11S )*( CABS1( H11 )+CABS1( H22 ) )
IF( ABS( H10*H21 ).LE.ULP*TST1 )
$ GO TO 50
40 CONTINUE
H11 = H( L, L )
H22 = H( L+1, L+1 )
H11S = H11 - T
H21 = H( L+1, L )
S = CABS1( H11S ) + ABS( H21 )
H11S = H11S / S
H21 = H21 / S
V( 1 ) = H11S
V( 2 ) = H21
50 CONTINUE
*
* Single-shift QR step
*
DO 100 K = M, I - 1
*
* The first iteration of this loop determines a reflection G
* from the vector V and applies it from left and right to H,
* thus creating a nonzero bulge below the subdiagonal.
*
* Each subsequent iteration determines a reflection G to
* restore the Hessenberg form in the (K-1)th column, and thus
* chases the bulge one step toward the bottom of the active
* submatrix.
*
* V(2) is always real before the call to ZLARFG, and hence
* after the call T2 ( = T1*V(2) ) is also real.
*
IF( K.GT.M )
$ CALL ZCOPY( 2, H( K, K-1 ), 1, V, 1 )
CALL ZLARFG( 2, V( 1 ), V( 2 ), 1, T1 )
IF( K.GT.M ) THEN
H( K, K-1 ) = V( 1 )
H( K+1, K-1 ) = ZERO
END IF
V2 = V( 2 )
T2 = DBLE( T1*V2 )
*
* Apply G from the left to transform the rows of the matrix
* in columns K to I2.
*
DO 60 J = K, I2
SUM = DCONJG( T1 )*H( K, J ) + T2*H( K+1, J )
H( K, J ) = H( K, J ) - SUM
H( K+1, J ) = H( K+1, J ) - SUM*V2
60 CONTINUE
*
* Apply G from the right to transform the columns of the
* matrix in rows I1 to min(K+2,I).
*
DO 70 J = I1, MIN( K+2, I )
SUM = T1*H( J, K ) + T2*H( J, K+1 )
H( J, K ) = H( J, K ) - SUM
H( J, K+1 ) = H( J, K+1 ) - SUM*DCONJG( V2 )
70 CONTINUE
*
IF( WANTZ ) THEN
*
* Accumulate transformations in the matrix Z
*
DO 80 J = ILOZ, IHIZ
SUM = T1*Z( J, K ) + T2*Z( J, K+1 )
Z( J, K ) = Z( J, K ) - SUM
Z( J, K+1 ) = Z( J, K+1 ) - SUM*DCONJG( V2 )
80 CONTINUE
END IF
*
IF( K.EQ.M .AND. M.GT.L ) THEN
*
* If the QR step was started at row M > L because two
* consecutive small subdiagonals were found, then extra
* scaling must be performed to ensure that H(M,M-1) remains
* real.
*
TEMP = ONE - T1
TEMP = TEMP / ABS( TEMP )
H( M+1, M ) = H( M+1, M )*DCONJG( TEMP )
IF( M+2.LE.I )
$ H( M+2, M+1 ) = H( M+2, M+1 )*TEMP
DO 90 J = M, I
IF( J.NE.M+1 ) THEN
IF( I2.GT.J )
$ CALL ZSCAL( I2-J, TEMP, H( J, J+1 ), LDH )
CALL ZSCAL( J-I1, DCONJG( TEMP ), H( I1, J ), 1 )
IF( WANTZ ) THEN
CALL ZSCAL( NZ, DCONJG( TEMP ),
$ Z( ILOZ, J ), 1 )
END IF
END IF
90 CONTINUE
END IF
100 CONTINUE
*
* Ensure that H(I,I-1) is real.
*
TEMP = H( I, I-1 )
IF( DIMAG( TEMP ).NE.RZERO ) THEN
RTEMP = ABS( TEMP )
H( I, I-1 ) = RTEMP
TEMP = TEMP / RTEMP
IF( I2.GT.I )
$ CALL ZSCAL( I2-I, DCONJG( TEMP ), H( I, I+1 ), LDH )
CALL ZSCAL( I-I1, TEMP, H( I1, I ), 1 )
IF( WANTZ ) THEN
CALL ZSCAL( NZ, TEMP, Z( ILOZ, I ), 1 )
END IF
END IF
*
110 CONTINUE
*
* Failure to converge in remaining number of iterations
*
INFO = I
RETURN
*
120 CONTINUE
*
* H(I,I-1) is negligible: one eigenvalue has converged.
*
W( I ) = H( I, I )
*
* Decrement number of remaining iterations, and return to start of
* the main loop with new value of I.
*
ITN = ITN - ITS
I = L - 1
GO TO 10
*
130 CONTINUE
RETURN
*
* End of ZLAHQR
*
END