          SUBROUTINE CSTEQR( COMPZ, N, D, E, Z, LDZ, WORK, INFO )
    *
    *  -- LAPACK routine (version 3.1) --
    *     Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
    *     November 2006
    *
    *     .. Scalar Arguments ..
          CHARACTER          COMPZ
          INTEGER            INFO, LDZ, N
    *     ..
    *     .. Array Arguments ..
          REAL               D( * ), E( * ), WORK( * )
          COMPLEX            Z( LDZ, * )
    *     ..
    *
    *  Purpose
    *  =======
    *
    *  CSTEQR computes all eigenvalues and, optionally, eigenvectors of a
    *  symmetric tridiagonal matrix using the implicit QL or QR method.
    *  The eigenvectors of a full or band complex Hermitian matrix can also
    *  be found if CHETRD or CHPTRD or CHBTRD has been used to reduce this
    *  matrix to tridiagonal form.
    *
    *  Arguments
    *  =========
    *
    *  COMPZ   (input) CHARACTER*1
    *          = 'N':  Compute eigenvalues only.
    *          = 'V':  Compute eigenvalues and eigenvectors of the original
    *                  Hermitian matrix.  On entry, Z must contain the
    *                  unitary matrix used to reduce the original matrix
    *                  to tridiagonal form.
    *          = 'I':  Compute eigenvalues and eigenvectors of the
    *                  tridiagonal matrix.  Z is initialized to the identity
    *                  matrix.
    *
    *  N       (input) INTEGER
    *          The order of the matrix.  N >= 0.
    *
    *  D       (input/output) REAL array, dimension (N)
    *          On entry, the diagonal elements of the tridiagonal matrix.
    *          On exit, if INFO = 0, the eigenvalues in ascending order.
    *
    *  E       (input/output) REAL array, dimension (N-1)
    *          On entry, the (n-1) subdiagonal elements of the tridiagonal
    *          matrix.
    *          On exit, E has been destroyed.
    *
    *  Z       (input/output) COMPLEX array, dimension (LDZ, N)
    *          On entry, if  COMPZ = 'V', then Z contains the unitary
    *          matrix used in the reduction to tridiagonal form.
    *          On exit, if INFO = 0, then if COMPZ = 'V', Z contains the
    *          orthonormal eigenvectors of the original Hermitian matrix,
    *          and if COMPZ = 'I', Z contains the orthonormal eigenvectors
    *          of the symmetric tridiagonal matrix.
    *          If COMPZ = 'N', then Z is not referenced.
    *
    *  LDZ     (input) INTEGER
    *          The leading dimension of the array Z.  LDZ >= 1, and if
    *          eigenvectors are desired, then  LDZ >= max(1,N).
    *
    *  WORK    (workspace) REAL array, dimension (max(1,2*N-2))
    *          If COMPZ = 'N', then WORK is not referenced.
    *
    *  INFO    (output) INTEGER
    *          = 0:  successful exit
    *          < 0:  if INFO = -i, the i-th argument had an illegal value
    *          > 0:  the algorithm has failed to find all the eigenvalues in
    *                a total of 30*N iterations; if INFO = i, then i
    *                elements of E have not converged to zero; on exit, D
    *                and E contain the elements of a symmetric tridiagonal
    *                matrix which is unitarily similar to the original
    *                matrix.
    *
    *  =====================================================================
    *
    *     .. Parameters ..
          REAL               ZERO, ONE, TWO, THREE
          PARAMETER          ( ZERO = 0.0E0, ONE = 1.0E0, TWO = 2.0E0,
         $                   THREE = 3.0E0 )
          COMPLEX            CZERO, CONE
          PARAMETER          ( CZERO = ( 0.0E0, 0.0E0 ),
         $                   CONE = ( 1.0E0, 0.0E0 ) )
          INTEGER            MAXIT
          PARAMETER          ( MAXIT = 30 )
    *     ..
    *     .. Local Scalars ..
          INTEGER            I, ICOMPZ, II, ISCALE, J, JTOT, K, L, L1, LEND,
         $                   LENDM1, LENDP1, LENDSV, LM1, LSV, M, MM, MM1,
         $                   NM1, NMAXIT
          REAL               ANORM, B, C, EPS, EPS2, F, G, P, R, RT1, RT2,
         $                   S, SAFMAX, SAFMIN, SSFMAX, SSFMIN, TST
    *     ..
    *     .. External Functions ..
          LOGICAL            LSAME
          REAL               SLAMCH, SLANST, SLAPY2
          EXTERNAL           LSAME, SLAMCH, SLANST, SLAPY2
    *     ..
    *     .. External Subroutines ..
          EXTERNAL           CLASET, CLASR, CSWAP, SLAE2, SLAEV2, SLARTG,
         $                   SLASCL, SLASRT, XERBLA
    *     ..
    *     .. Intrinsic Functions ..
          INTRINSIC          ABS, MAX, SIGN, SQRT
    *     ..
    *     .. Executable Statements ..
    *
    *     Test the input parameters.
    *
          INFO = 0
    *
          IF( LSAME( COMPZ, 'N' ) ) THEN
             ICOMPZ = 0
          ELSE IF( LSAME( COMPZ, 'V' ) ) THEN
             ICOMPZ = 1
          ELSE IF( LSAME( COMPZ, 'I' ) ) THEN
             ICOMPZ = 2
          ELSE
             ICOMPZ = -1
          END IF
          IF( ICOMPZ.LT.0 ) THEN
             INFO = -1
          ELSE IF( N.LT.0 ) THEN
             INFO = -2
          ELSE IF( ( LDZ.LT.1 ) .OR. ( ICOMPZ.GT.0 .AND. LDZ.LT.MAX( 1,
         $         N ) ) ) THEN
             INFO = -6
          END IF
          IF( INFO.NE.0 ) THEN
             CALL XERBLA( 'CSTEQR', -INFO )
             RETURN
          END IF
    *
    *     Quick return if possible
    *
          IF( N.EQ.0 )
         $   RETURN
    *
          IF( N.EQ.1 ) THEN
             IF( ICOMPZ.EQ.2 )
         $      Z( 1, 1 ) = CONE
             RETURN
          END IF
    *
    *     Determine the unit roundoff and over/underflow thresholds.
    *
          EPS = SLAMCH( 'E' )
          EPS2 = EPS**2
          SAFMIN = SLAMCH( 'S' )
          SAFMAX = ONE / SAFMIN
          SSFMAX = SQRT( SAFMAX ) / THREE
          SSFMIN = SQRT( SAFMIN ) / EPS2
    *
    *     Compute the eigenvalues and eigenvectors of the tridiagonal
    *     matrix.
    *
          IF( ICOMPZ.EQ.2 )
         $   CALL CLASET( 'Full', N, N, CZERO, CONE, Z, LDZ )
    *
          NMAXIT = N*MAXIT
          JTOT = 0
    *
    *     Determine where the matrix splits and choose QL or QR iteration
    *     for each block, according to whether top or bottom diagonal
    *     element is smaller.
    *
          L1 = 1
          NM1 = N - 1
    *
       10 CONTINUE
          IF( L1.GT.N )
         $   GO TO 160
          IF( L1.GT.1 )
         $   E( L1-1 ) = ZERO
          IF( L1.LE.NM1 ) THEN
             DO 20 M = L1, NM1
                TST = ABS( E( M ) )
                IF( TST.EQ.ZERO )
         $         GO TO 30
                IF( TST.LE.( SQRT( ABS( D( M ) ) )*SQRT( ABS( D( M+
         $          1 ) ) ) )*EPS ) THEN
                   E( M ) = ZERO
                   GO TO 30
                END IF
       20    CONTINUE
          END IF
          M = N
    *
       30 CONTINUE
          L = L1
          LSV = L
          LEND = M
          LENDSV = LEND
          L1 = M + 1
          IF( LEND.EQ.L )
         $   GO TO 10
    *
    *     Scale submatrix in rows and columns L to LEND
    *
          ANORM = SLANST( 'I', LEND-L+1, D( L ), E( L ) )
          ISCALE = 0
          IF( ANORM.EQ.ZERO )
         $   GO TO 10
          IF( ANORM.GT.SSFMAX ) THEN
             ISCALE = 1
             CALL SLASCL( 'G', 0, 0, ANORM, SSFMAX, LEND-L+1, 1, D( L ), N,
         $                INFO )
             CALL SLASCL( 'G', 0, 0, ANORM, SSFMAX, LEND-L, 1, E( L ), N,
         $                INFO )
          ELSE IF( ANORM.LT.SSFMIN ) THEN
             ISCALE = 2
             CALL SLASCL( 'G', 0, 0, ANORM, SSFMIN, LEND-L+1, 1, D( L ), N,
         $                INFO )
             CALL SLASCL( 'G', 0, 0, ANORM, SSFMIN, LEND-L, 1, E( L ), N,
         $                INFO )
          END IF
    *
    *     Choose between QL and QR iteration
    *
          IF( ABS( D( LEND ) ).LT.ABS( D( L ) ) ) THEN
             LEND = LSV
             L = LENDSV
          END IF
    *
          IF( LEND.GT.L ) THEN
    *
    *        QL Iteration
    *
    *        Look for small subdiagonal element.
    *
       40    CONTINUE
             IF( L.NE.LEND ) THEN
                LENDM1 = LEND - 1
                DO 50 M = L, LENDM1
                   TST = ABS( E( M ) )**2
                   IF( TST.LE.( EPS2*ABS( D( M ) ) )*ABS( D( M+1 ) )+
         $             SAFMIN )GO TO 60
       50       CONTINUE
             END IF
    *
             M = LEND
    *
       60    CONTINUE
             IF( M.LT.LEND )
         $      E( M ) = ZERO
             P = D( L )
             IF( M.EQ.L )
         $      GO TO 80
    *
    *        If remaining matrix is 2-by-2, use SLAE2 or SLAEV2
    *        to compute its eigensystem.
    *
             IF( M.EQ.L+1 ) THEN
                IF( ICOMPZ.GT.0 ) THEN
                   CALL SLAEV2( D( L ), E( L ), D( L+1 ), RT1, RT2, C, S )
                   WORK( L ) = C
                   WORK( N-1+L ) = S
                   CALL CLASR( 'R', 'V', 'B', N, 2, WORK( L ),
         $                     WORK( N-1+L ), Z( 1, L ), LDZ )
                ELSE
                   CALL SLAE2( D( L ), E( L ), D( L+1 ), RT1, RT2 )
                END IF
                D( L ) = RT1
                D( L+1 ) = RT2
                E( L ) = ZERO
                L = L + 2
                IF( L.LE.LEND )
         $         GO TO 40
                GO TO 140
             END IF
    *
             IF( JTOT.EQ.NMAXIT )
         $      GO TO 140
             JTOT = JTOT + 1
    *
    *        Form shift.
    *
             G = ( D( L+1 )-P ) / ( TWO*E( L ) )
             R = SLAPY2( G, ONE )
             G = D( M ) - P + ( E( L ) / ( G+SIGN( R, G ) ) )
    *
             S = ONE
             C = ONE
             P = ZERO
    *
    *        Inner loop
    *
             MM1 = M - 1
             DO 70 I = MM1, L, -1
                F = S*E( I )
                B = C*E( I )
                CALL SLARTG( G, F, C, S, R )
                IF( I.NE.M-1 )
         $         E( I+1 ) = R
                G = D( I+1 ) - P
                R = ( D( I )-G )*S + TWO*C*B
                P = S*R
                D( I+1 ) = G + P
                G = C*R - B
    *
    *           If eigenvectors are desired, then save rotations.
    *
                IF( ICOMPZ.GT.0 ) THEN
                   WORK( I ) = C
                   WORK( N-1+I ) = -S
                END IF
    *
       70    CONTINUE
    *
    *        If eigenvectors are desired, then apply saved rotations.
    *
             IF( ICOMPZ.GT.0 ) THEN
                MM = M - L + 1
                CALL CLASR( 'R', 'V', 'B', N, MM, WORK( L ), WORK( N-1+L ),
         $                  Z( 1, L ), LDZ )
             END IF
    *
             D( L ) = D( L ) - P
             E( L ) = G
             GO TO 40
    *
    *        Eigenvalue found.
    *
       80    CONTINUE
             D( L ) = P
    *
             L = L + 1
             IF( L.LE.LEND )
         $      GO TO 40
             GO TO 140
    *
          ELSE
    *
    *        QR Iteration
    *
    *        Look for small superdiagonal element.
    *
       90    CONTINUE
             IF( L.NE.LEND ) THEN
                LENDP1 = LEND + 1
                DO 100 M = L, LENDP1, -1
                   TST = ABS( E( M-1 ) )**2
                   IF( TST.LE.( EPS2*ABS( D( M ) ) )*ABS( D( M-1 ) )+
         $             SAFMIN )GO TO 110
      100       CONTINUE
             END IF
    *
             M = LEND
    *
      110    CONTINUE
             IF( M.GT.LEND )
         $      E( M-1 ) = ZERO
             P = D( L )
             IF( M.EQ.L )
         $      GO TO 130
    *
    *        If remaining matrix is 2-by-2, use SLAE2 or SLAEV2
    *        to compute its eigensystem.
    *
             IF( M.EQ.L-1 ) THEN
                IF( ICOMPZ.GT.0 ) THEN
                   CALL SLAEV2( D( L-1 ), E( L-1 ), D( L ), RT1, RT2, C, S )
                   WORK( M ) = C
                   WORK( N-1+M ) = S
                   CALL CLASR( 'R', 'V', 'F', N, 2, WORK( M ),
         $                     WORK( N-1+M ), Z( 1, L-1 ), LDZ )
                ELSE
                   CALL SLAE2( D( L-1 ), E( L-1 ), D( L ), RT1, RT2 )
                END IF
                D( L-1 ) = RT1
                D( L ) = RT2
                E( L-1 ) = ZERO
                L = L - 2
                IF( L.GE.LEND )
         $         GO TO 90
                GO TO 140
             END IF
    *
             IF( JTOT.EQ.NMAXIT )
         $      GO TO 140
             JTOT = JTOT + 1
    *
    *        Form shift.
    *
             G = ( D( L-1 )-P ) / ( TWO*E( L-1 ) )
             R = SLAPY2( G, ONE )
             G = D( M ) - P + ( E( L-1 ) / ( G+SIGN( R, G ) ) )
    *
             S = ONE
             C = ONE
             P = ZERO
    *
    *        Inner loop
    *
             LM1 = L - 1
             DO 120 I = M, LM1
                F = S*E( I )
                B = C*E( I )
                CALL SLARTG( G, F, C, S, R )
                IF( I.NE.M )
         $         E( I-1 ) = R
                G = D( I ) - P
                R = ( D( I+1 )-G )*S + TWO*C*B
                P = S*R
                D( I ) = G + P
                G = C*R - B
    *
    *           If eigenvectors are desired, then save rotations.
    *
                IF( ICOMPZ.GT.0 ) THEN
                   WORK( I ) = C
                   WORK( N-1+I ) = S
                END IF
    *
      120    CONTINUE
    *
    *        If eigenvectors are desired, then apply saved rotations.
    *
             IF( ICOMPZ.GT.0 ) THEN
                MM = L - M + 1
                CALL CLASR( 'R', 'V', 'F', N, MM, WORK( M ), WORK( N-1+M ),
         $                  Z( 1, M ), LDZ )
             END IF
    *
             D( L ) = D( L ) - P
             E( LM1 ) = G
             GO TO 90
    *
    *        Eigenvalue found.
    *
      130    CONTINUE
             D( L ) = P
    *
             L = L - 1
             IF( L.GE.LEND )
         $      GO TO 90
             GO TO 140
    *
          END IF
    *
    *     Undo scaling if necessary
    *
      140 CONTINUE
          IF( ISCALE.EQ.1 ) THEN
             CALL SLASCL( 'G', 0, 0, SSFMAX, ANORM, LENDSV-LSV+1, 1,
         $                D( LSV ), N, INFO )
             CALL SLASCL( 'G', 0, 0, SSFMAX, ANORM, LENDSV-LSV, 1, E( LSV ),
         $                N, INFO )
          ELSE IF( ISCALE.EQ.2 ) THEN
             CALL SLASCL( 'G', 0, 0, SSFMIN, ANORM, LENDSV-LSV+1, 1,
         $                D( LSV ), N, INFO )
             CALL SLASCL( 'G', 0, 0, SSFMIN, ANORM, LENDSV-LSV, 1, E( LSV ),
         $                N, INFO )
          END IF
    *
    *     Check for no convergence to an eigenvalue after a total
    *     of N*MAXIT iterations.
    *
          IF( JTOT.EQ.NMAXIT ) THEN
             DO 150 I = 1, N - 1
                IF( E( I ).NE.ZERO )
         $         INFO = INFO + 1
      150    CONTINUE
             RETURN
          END IF
          GO TO 10
    *
    *     Order eigenvalues and eigenvectors.
    *
      160 CONTINUE
          IF( ICOMPZ.EQ.0 ) THEN
    *
    *        Use Quick Sort
    *
             CALL SLASRT( 'I', N, D, INFO )
    *
          ELSE
    *
    *        Use Selection Sort to minimize swaps of eigenvectors
    *
             DO 180 II = 2, N
                I = II - 1
                K = I
                P = D( I )
                DO 170 J = II, N
                   IF( D( J ).LT.P ) THEN
                      K = J
                      P = D( J )
                   END IF
      170       CONTINUE
                IF( K.NE.I ) THEN
                   D( K ) = D( I )
                   D( I ) = P
                   CALL CSWAP( N, Z( 1, I ), 1, Z( 1, K ), 1 )
                END IF
      180    CONTINUE
          END IF
          RETURN
    *
    *     End of CSTEQR
    *
          END