/*  -- translated by f2c (version 20191129).
   You must link the resulting object file with libf2c:
	on Microsoft Windows system, link with libf2c.lib;
	on Linux or Unix systems, link with .../path/to/libf2c.a -lm
	or, if you install libf2c.a in a standard place, with -lf2c -lm
	-- in that order, at the end of the command line, as in
		cc *.o -lf2c -lm
	Source for libf2c is in /netlib/f2c/libf2c.zip, e.g.,

		http://www.netlib.org/f2c/libf2c.zip
*/

#include "f2c.h"

/* Table of constant values */

static integer c__1 = 1;

/* > \brief \b DLAHQR computes the eigenvalues and Schur factorization of an upper Hessenberg matrix, using th
e double-shift/single-shift QR algorithm.   

    =========== DOCUMENTATION ===========   

   Online html documentation available at   
              http://www.netlib.org/lapack/explore-html/   

   > \htmlonly   
   > Download DLAHQR + dependencies   
   > <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlahqr.
f">   
   > [TGZ]</a>   
   > <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlahqr.
f">   
   > [ZIP]</a>   
   > <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlahqr.
f">   
   > [TXT]</a>   
   > \endhtmlonly   

    Definition:   
    ===========   

         SUBROUTINE DLAHQR( WANTT, WANTZ, N, ILO, IHI, H, LDH, WR, WI,   
                            ILOZ, IHIZ, Z, LDZ, INFO )   

         INTEGER            IHI, IHIZ, ILO, ILOZ, INFO, LDH, LDZ, N   
         LOGICAL            WANTT, WANTZ   
         DOUBLE PRECISION   H( LDH, * ), WI( * ), WR( * ), Z( LDZ, * )   


   > \par Purpose:   
    =============   
   >   
   > \verbatim   
   >   
   >    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.   
   > \endverbatim   

    Arguments:   
    ==========   

   > \param[in] WANTT   
   > \verbatim   
   >          WANTT is LOGICAL   
   >          = .TRUE. : the full Schur form T is required;   
   >          = .FALSE.: only eigenvalues are required.   
   > \endverbatim   
   >   
   > \param[in] WANTZ   
   > \verbatim   
   >          WANTZ is LOGICAL   
   >          = .TRUE. : the matrix of Schur vectors Z is required;   
   >          = .FALSE.: Schur vectors are not required.   
   > \endverbatim   
   >   
   > \param[in] N   
   > \verbatim   
   >          N is INTEGER   
   >          The order of the matrix H.  N >= 0.   
   > \endverbatim   
   >   
   > \param[in] ILO   
   > \verbatim   
   >          ILO is INTEGER   
   > \endverbatim   
   >   
   > \param[in] IHI   
   > \verbatim   
   >          IHI is 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.   
   > \endverbatim   
   >   
   > \param[in,out] H   
   > \verbatim   
   >          H is DOUBLE PRECISION array, dimension (LDH,N)   
   >          On entry, the upper Hessenberg matrix H.   
   >          On exit, if INFO is zero and 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 INFO is zero   
   >          and WANTT is .FALSE., the contents of H are unspecified on   
   >          exit.  The output state of H if INFO is nonzero is given   
   >          below under the description of INFO.   
   > \endverbatim   
   >   
   > \param[in] LDH   
   > \verbatim   
   >          LDH is INTEGER   
   >          The leading dimension of the array H. LDH >= max(1,N).   
   > \endverbatim   
   >   
   > \param[out] WR   
   > \verbatim   
   >          WR is DOUBLE PRECISION array, dimension (N)   
   > \endverbatim   
   >   
   > \param[out] WI   
   > \verbatim   
   >          WI is 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).   
   > \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 <= ILO; IHI <= IHIZ <= N.   
   > \endverbatim   
   >   
   > \param[in,out] Z   
   > \verbatim   
   >          Z is 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.   
   > \endverbatim   
   >   
   > \param[in] LDZ   
   > \verbatim   
   >          LDZ is INTEGER   
   >          The leading dimension of the array Z. LDZ >= max(1,N).   
   > \endverbatim   
   >   
   > \param[out] INFO   
   > \verbatim   
   >          INFO is INTEGER   
   >           =   0: successful exit   
   >          .GT. 0: If INFO = i, DLAHQR failed to compute all the   
   >                  eigenvalues ILO to IHI in a total of 30 iterations   
   >                  per eigenvalue; elements i+1:ihi of WR and WI   
   >                  contain those eigenvalues which have been   
   >                  successfully computed.   
   >   
   >                  If INFO .GT. 0 and WANTT is .FALSE., then on exit,   
   >                  the remaining unconverged eigenvalues are the   
   >                  eigenvalues of the upper Hessenberg matrix rows   
   >                  and columns ILO thorugh INFO of the final, output   
   >                  value of H.   
   >   
   >                  If INFO .GT. 0 and WANTT is .TRUE., then on exit   
   >          (*)       (initial value of H)*U  = U*(final value of H)   
   >                  where U is an orthognal matrix.    The final   
   >                  value of H is upper Hessenberg and triangular in   
   >                  rows and columns INFO+1 through IHI.   
   >   
   >                  If INFO .GT. 0 and WANTZ is .TRUE., then on exit   
   >                      (final value of Z)  = (initial value of Z)*U   
   >                  where U is the orthogonal matrix in (*)   
   >                  (regardless of the value of WANTT.)   
   > \endverbatim   

    Authors:   
    ========   

   > \author Univ. of Tennessee   
   > \author Univ. of California Berkeley   
   > \author Univ. of Colorado Denver   
   > \author NAG Ltd.   

   > \date September 2012   

   > \ingroup doubleOTHERauxiliary   

   > \par Further Details:   
    =====================   
   >   
   > \verbatim   
   >   
   >     02-96 Based on modifications by   
   >     David Day, Sandia National Laboratory, USA   
   >   
   >     12-04 Further modifications by   
   >     Ralph Byers, University of Kansas, USA   
   >     This is a modified version of DLAHQR from LAPACK version 3.0.   
   >     It is (1) more robust against overflow and underflow and   
   >     (2) adopts the more conservative Ahues & Tisseur stopping   
   >     criterion (LAWN 122, 1997).   
   > \endverbatim   
   >   
    =====================================================================   
   Subroutine */ int igraphdlahqr_(logical *wantt, logical *wantz, integer *n, 
	integer *ilo, integer *ihi, doublereal *h__, integer *ldh, doublereal 
	*wr, doublereal *wi, integer *iloz, integer *ihiz, doublereal *z__, 
	integer *ldz, integer *info)
{
    /* System generated locals */
    integer h_dim1, h_offset, z_dim1, z_offset, i__1, i__2, i__3;
    doublereal d__1, d__2, d__3, d__4;

    /* Builtin functions */
    double sqrt(doublereal);

    /* Local variables */
    integer i__, j, k, l, m;
    doublereal s, v[3];
    integer i1, i2;
    doublereal t1, t2, t3, v2, v3, aa, ab, ba, bb, h11, h12, h21, h22, cs;
    integer nh;
    doublereal sn;
    integer nr;
    doublereal tr;
    integer nz;
    doublereal det, h21s;
    integer its;
    doublereal ulp, sum, tst, rt1i, rt2i, rt1r, rt2r;
    extern /* Subroutine */ int igraphdrot_(integer *, doublereal *, integer *, 
	    doublereal *, integer *, doublereal *, doublereal *), igraphdcopy_(
	    integer *, doublereal *, integer *, doublereal *, integer *), 
	    igraphdlanv2_(doublereal *, doublereal *, doublereal *, doublereal *, 
	    doublereal *, doublereal *, doublereal *, doublereal *, 
	    doublereal *, doublereal *), igraphdlabad_(doublereal *, doublereal *);
    extern doublereal igraphdlamch_(char *);
    extern /* Subroutine */ int igraphdlarfg_(integer *, doublereal *, doublereal *,
	     integer *, doublereal *);
    doublereal safmin, safmax, rtdisc, smlnum;


/*  -- LAPACK auxiliary routine (version 3.4.2) --   
    -- LAPACK is a software package provided by Univ. of Tennessee,    --   
    -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--   
       September 2012   


    =========================================================   


       Parameter adjustments */
    h_dim1 = *ldh;
    h_offset = 1 + h_dim1;
    h__ -= h_offset;
    --wr;
    --wi;
    z_dim1 = *ldz;
    z_offset = 1 + z_dim1;
    z__ -= z_offset;

    /* Function Body */
    *info = 0;

/*     Quick return if possible */

    if (*n == 0) {
	return 0;
    }
    if (*ilo == *ihi) {
	wr[*ilo] = h__[*ilo + *ilo * h_dim1];
	wi[*ilo] = 0.;
	return 0;
    }

/*     ==== clear out the trash ==== */
    i__1 = *ihi - 3;
    for (j = *ilo; j <= i__1; ++j) {
	h__[j + 2 + j * h_dim1] = 0.;
	h__[j + 3 + j * h_dim1] = 0.;
/* L10: */
    }
    if (*ilo <= *ihi - 2) {
	h__[*ihi + (*ihi - 2) * h_dim1] = 0.;
    }

    nh = *ihi - *ilo + 1;
    nz = *ihiz - *iloz + 1;

/*     Set machine-dependent constants for the stopping criterion. */

    safmin = igraphdlamch_("SAFE MINIMUM");
    safmax = 1. / safmin;
    igraphdlabad_(&safmin, &safmax);
    ulp = igraphdlamch_("PRECISION");
    smlnum = safmin * ((doublereal) 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) {
	i1 = 1;
	i2 = *n;
    }

/*     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;
L20:
    l = *ilo;
    if (i__ < *ilo) {
	goto L160;
    }

/*     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. */

    for (its = 0; its <= 30; ++its) {

/*        Look for a single small subdiagonal element. */

	i__1 = l + 1;
	for (k = i__; k >= i__1; --k) {
	    if ((d__1 = h__[k + (k - 1) * h_dim1], abs(d__1)) <= smlnum) {
		goto L40;
	    }
	    tst = (d__1 = h__[k - 1 + (k - 1) * h_dim1], abs(d__1)) + (d__2 = 
		    h__[k + k * h_dim1], abs(d__2));
	    if (tst == 0.) {
		if (k - 2 >= *ilo) {
		    tst += (d__1 = h__[k - 1 + (k - 2) * h_dim1], abs(d__1));
		}
		if (k + 1 <= *ihi) {
		    tst += (d__1 = h__[k + 1 + k * h_dim1], abs(d__1));
		}
	    }
/*           ==== The following is a conservative small subdiagonal   
             .    deflation  criterion due to Ahues & Tisseur (LAWN 122,   
             .    1997). It has better mathematical foundation and   
             .    improves accuracy in some cases.  ==== */
	    if ((d__1 = h__[k + (k - 1) * h_dim1], abs(d__1)) <= ulp * tst) {
/* Computing MAX */
		d__3 = (d__1 = h__[k + (k - 1) * h_dim1], abs(d__1)), d__4 = (
			d__2 = h__[k - 1 + k * h_dim1], abs(d__2));
		ab = max(d__3,d__4);
/* Computing MIN */
		d__3 = (d__1 = h__[k + (k - 1) * h_dim1], abs(d__1)), d__4 = (
			d__2 = h__[k - 1 + k * h_dim1], abs(d__2));
		ba = min(d__3,d__4);
/* Computing MAX */
		d__3 = (d__1 = h__[k + k * h_dim1], abs(d__1)), d__4 = (d__2 =
			 h__[k - 1 + (k - 1) * h_dim1] - h__[k + k * h_dim1], 
			abs(d__2));
		aa = max(d__3,d__4);
/* Computing MIN */
		d__3 = (d__1 = h__[k + k * h_dim1], abs(d__1)), d__4 = (d__2 =
			 h__[k - 1 + (k - 1) * h_dim1] - h__[k + k * h_dim1], 
			abs(d__2));
		bb = min(d__3,d__4);
		s = aa + ab;
/* Computing MAX */
		d__1 = smlnum, d__2 = ulp * (bb * (aa / s));
		if (ba * (ab / s) <= max(d__1,d__2)) {
		    goto L40;
		}
	    }
/* L30: */
	}
L40:
	l = k;
	if (l > *ilo) {

/*           H(L,L-1) is negligible */

	    h__[l + (l - 1) * h_dim1] = 0.;
	}

/*        Exit from loop if a submatrix of order 1 or 2 has split off. */

	if (l >= i__ - 1) {
	    goto L150;
	}

/*        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 (! (*wantt)) {
	    i1 = l;
	    i2 = i__;
	}

	if (its == 10) {

/*           Exceptional shift. */

	    s = (d__1 = h__[l + 1 + l * h_dim1], abs(d__1)) + (d__2 = h__[l + 
		    2 + (l + 1) * h_dim1], abs(d__2));
	    h11 = s * .75 + h__[l + l * h_dim1];
	    h12 = s * -.4375;
	    h21 = s;
	    h22 = h11;
	} else if (its == 20) {

/*           Exceptional shift. */

	    s = (d__1 = h__[i__ + (i__ - 1) * h_dim1], abs(d__1)) + (d__2 = 
		    h__[i__ - 1 + (i__ - 2) * h_dim1], abs(d__2));
	    h11 = s * .75 + h__[i__ + i__ * h_dim1];
	    h12 = s * -.4375;
	    h21 = s;
	    h22 = h11;
	} else {

/*           Prepare to use Francis' double shift   
             (i.e. 2nd degree generalized Rayleigh quotient) */

	    h11 = h__[i__ - 1 + (i__ - 1) * h_dim1];
	    h21 = h__[i__ + (i__ - 1) * h_dim1];
	    h12 = h__[i__ - 1 + i__ * h_dim1];
	    h22 = h__[i__ + i__ * h_dim1];
	}
	s = abs(h11) + abs(h12) + abs(h21) + abs(h22);
	if (s == 0.) {
	    rt1r = 0.;
	    rt1i = 0.;
	    rt2r = 0.;
	    rt2i = 0.;
	} else {
	    h11 /= s;
	    h21 /= s;
	    h12 /= s;
	    h22 /= s;
	    tr = (h11 + h22) / 2.;
	    det = (h11 - tr) * (h22 - tr) - h12 * h21;
	    rtdisc = sqrt((abs(det)));
	    if (det >= 0.) {

/*              ==== complex conjugate shifts ==== */

		rt1r = tr * s;
		rt2r = rt1r;
		rt1i = rtdisc * s;
		rt2i = -rt1i;
	    } else {

/*              ==== real shifts (use only one of them)  ==== */

		rt1r = tr + rtdisc;
		rt2r = tr - rtdisc;
		if ((d__1 = rt1r - h22, abs(d__1)) <= (d__2 = rt2r - h22, abs(
			d__2))) {
		    rt1r *= s;
		    rt2r = rt1r;
		} else {
		    rt2r *= s;
		    rt1r = rt2r;
		}
		rt1i = 0.;
		rt2i = 0.;
	    }
	}

/*        Look for two consecutive small subdiagonal elements. */

	i__1 = l;
	for (m = i__ - 2; m >= i__1; --m) {
/*           Determine the effect of starting the double-shift QR   
             iteration at row M, and see if this would make H(M,M-1)   
             negligible.  (The following uses scaling to avoid   
             overflows and most underflows.) */

	    h21s = h__[m + 1 + m * h_dim1];
	    s = (d__1 = h__[m + m * h_dim1] - rt2r, abs(d__1)) + abs(rt2i) + 
		    abs(h21s);
	    h21s = h__[m + 1 + m * h_dim1] / s;
	    v[0] = h21s * h__[m + (m + 1) * h_dim1] + (h__[m + m * h_dim1] - 
		    rt1r) * ((h__[m + m * h_dim1] - rt2r) / s) - rt1i * (rt2i 
		    / s);
	    v[1] = h21s * (h__[m + m * h_dim1] + h__[m + 1 + (m + 1) * h_dim1]
		     - rt1r - rt2r);
	    v[2] = h21s * h__[m + 2 + (m + 1) * h_dim1];
	    s = abs(v[0]) + abs(v[1]) + abs(v[2]);
	    v[0] /= s;
	    v[1] /= s;
	    v[2] /= s;
	    if (m == l) {
		goto L60;
	    }
	    if ((d__1 = h__[m + (m - 1) * h_dim1], abs(d__1)) * (abs(v[1]) + 
		    abs(v[2])) <= ulp * abs(v[0]) * ((d__2 = h__[m - 1 + (m - 
		    1) * h_dim1], abs(d__2)) + (d__3 = h__[m + m * h_dim1], 
		    abs(d__3)) + (d__4 = h__[m + 1 + (m + 1) * h_dim1], abs(
		    d__4)))) {
		goto L60;
	    }
/* L50: */
	}
L60:

/*        Double-shift QR step */

	i__1 = i__ - 1;
	for (k = m; k <= i__1; ++k) {

/*           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.   

   Computing MIN */
	    i__2 = 3, i__3 = i__ - k + 1;
	    nr = min(i__2,i__3);
	    if (k > m) {
		igraphdcopy_(&nr, &h__[k + (k - 1) * h_dim1], &c__1, v, &c__1);
	    }
	    igraphdlarfg_(&nr, v, &v[1], &c__1, &t1);
	    if (k > m) {
		h__[k + (k - 1) * h_dim1] = v[0];
		h__[k + 1 + (k - 1) * h_dim1] = 0.;
		if (k < i__ - 1) {
		    h__[k + 2 + (k - 1) * h_dim1] = 0.;
		}
	    } else if (m > l) {
/*               ==== Use the following instead of   
                 .    H( K, K-1 ) = -H( K, K-1 ) to   
                 .    avoid a bug when v(2) and v(3)   
                 .    underflow. ==== */
		h__[k + (k - 1) * h_dim1] *= 1. - t1;
	    }
	    v2 = v[1];
	    t2 = t1 * v2;
	    if (nr == 3) {
		v3 = v[2];
		t3 = t1 * v3;

/*              Apply G from the left to transform the rows of the matrix   
                in columns K to I2. */

		i__2 = i2;
		for (j = k; j <= i__2; ++j) {
		    sum = h__[k + j * h_dim1] + v2 * h__[k + 1 + j * h_dim1] 
			    + v3 * h__[k + 2 + j * h_dim1];
		    h__[k + j * h_dim1] -= sum * t1;
		    h__[k + 1 + j * h_dim1] -= sum * t2;
		    h__[k + 2 + j * h_dim1] -= sum * t3;
/* L70: */
		}

/*              Apply G from the right to transform the columns of the   
                matrix in rows I1 to min(K+3,I).   

   Computing MIN */
		i__3 = k + 3;
		i__2 = min(i__3,i__);
		for (j = i1; j <= i__2; ++j) {
		    sum = h__[j + k * h_dim1] + v2 * h__[j + (k + 1) * h_dim1]
			     + v3 * h__[j + (k + 2) * h_dim1];
		    h__[j + k * h_dim1] -= sum * t1;
		    h__[j + (k + 1) * h_dim1] -= sum * t2;
		    h__[j + (k + 2) * h_dim1] -= sum * t3;
/* L80: */
		}

		if (*wantz) {

/*                 Accumulate transformations in the matrix Z */

		    i__2 = *ihiz;
		    for (j = *iloz; j <= i__2; ++j) {
			sum = z__[j + k * z_dim1] + v2 * z__[j + (k + 1) * 
				z_dim1] + v3 * z__[j + (k + 2) * z_dim1];
			z__[j + k * z_dim1] -= sum * t1;
			z__[j + (k + 1) * z_dim1] -= sum * t2;
			z__[j + (k + 2) * z_dim1] -= sum * t3;
/* L90: */
		    }
		}
	    } else if (nr == 2) {

/*              Apply G from the left to transform the rows of the matrix   
                in columns K to I2. */

		i__2 = i2;
		for (j = k; j <= i__2; ++j) {
		    sum = h__[k + j * h_dim1] + v2 * h__[k + 1 + j * h_dim1];
		    h__[k + j * h_dim1] -= sum * t1;
		    h__[k + 1 + j * h_dim1] -= sum * t2;
/* L100: */
		}

/*              Apply G from the right to transform the columns of the   
                matrix in rows I1 to min(K+3,I). */

		i__2 = i__;
		for (j = i1; j <= i__2; ++j) {
		    sum = h__[j + k * h_dim1] + v2 * h__[j + (k + 1) * h_dim1]
			    ;
		    h__[j + k * h_dim1] -= sum * t1;
		    h__[j + (k + 1) * h_dim1] -= sum * t2;
/* L110: */
		}

		if (*wantz) {

/*                 Accumulate transformations in the matrix Z */

		    i__2 = *ihiz;
		    for (j = *iloz; j <= i__2; ++j) {
			sum = z__[j + k * z_dim1] + v2 * z__[j + (k + 1) * 
				z_dim1];
			z__[j + k * z_dim1] -= sum * t1;
			z__[j + (k + 1) * z_dim1] -= sum * t2;
/* L120: */
		    }
		}
	    }
/* L130: */
	}

/* L140: */
    }

/*     Failure to converge in remaining number of iterations */

    *info = i__;
    return 0;

L150:

    if (l == i__) {

/*        H(I,I-1) is negligible: one eigenvalue has converged. */

	wr[i__] = h__[i__ + i__ * h_dim1];
	wi[i__] = 0.;
    } else if (l == i__ - 1) {

/*        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. */

	igraphdlanv2_(&h__[i__ - 1 + (i__ - 1) * h_dim1], &h__[i__ - 1 + i__ * 
		h_dim1], &h__[i__ + (i__ - 1) * h_dim1], &h__[i__ + i__ * 
		h_dim1], &wr[i__ - 1], &wi[i__ - 1], &wr[i__], &wi[i__], &cs, 
		&sn);

	if (*wantt) {

/*           Apply the transformation to the rest of H. */

	    if (i2 > i__) {
		i__1 = i2 - i__;
		igraphdrot_(&i__1, &h__[i__ - 1 + (i__ + 1) * h_dim1], ldh, &h__[
			i__ + (i__ + 1) * h_dim1], ldh, &cs, &sn);
	    }
	    i__1 = i__ - i1 - 1;
	    igraphdrot_(&i__1, &h__[i1 + (i__ - 1) * h_dim1], &c__1, &h__[i1 + i__ *
		     h_dim1], &c__1, &cs, &sn);
	}
	if (*wantz) {

/*           Apply the transformation to Z. */

	    igraphdrot_(&nz, &z__[*iloz + (i__ - 1) * z_dim1], &c__1, &z__[*iloz + 
		    i__ * z_dim1], &c__1, &cs, &sn);
	}
    }

/*     return to start of the main loop with new value of I. */

    i__ = l - 1;
    goto L20;

L160:
    return 0;

/*     End of DLAHQR */

} /* igraphdlahqr_ */