/*  -- translated by f2c (version 20100827).
   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;
static integer c__0 = 0;
static integer c_n1 = -1;

/* Subroutine */ int igraphdgeevx_(char *balanc, char *jobvl, char *jobvr, char *
	sense, integer *n, doublereal *a, integer *lda, doublereal *wr, 
	doublereal *wi, doublereal *vl, integer *ldvl, doublereal *vr, 
	integer *ldvr, integer *ilo, integer *ihi, doublereal *scale, 
	doublereal *abnrm, doublereal *rconde, doublereal *rcondv, doublereal 
	*work, integer *lwork, integer *iwork, integer *info)
{
    /* System generated locals */
    integer a_dim1, a_offset, vl_dim1, vl_offset, vr_dim1, vr_offset, i__1, 
	    i__2, i__3;
    doublereal d__1, d__2;

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

    /* Local variables */
    integer i__, k;
    doublereal r__, cs, sn;
    char job[1];
    doublereal scl, dum[1], eps;
    char side[1];
    doublereal anrm;
    integer ierr, itau;
    extern /* Subroutine */ int igraphdrot_(integer *, doublereal *, integer *, 
	    doublereal *, integer *, doublereal *, doublereal *);
    integer iwrk, nout;
    extern doublereal igraphdnrm2_(integer *, doublereal *, integer *);
    extern /* Subroutine */ int igraphdscal_(integer *, doublereal *, doublereal *, 
	    integer *);
    integer icond;
    extern logical igraphlsame_(char *, char *);
    extern doublereal igraphdlapy2_(doublereal *, doublereal *);
    extern /* Subroutine */ int igraphdlabad_(doublereal *, doublereal *), igraphdgebak_(
	    char *, char *, integer *, integer *, integer *, doublereal *, 
	    integer *, doublereal *, integer *, integer *), 
	    igraphdgebal_(char *, integer *, doublereal *, integer *, integer *, 
	    integer *, doublereal *, integer *);
    logical scalea;
    extern doublereal igraphdlamch_(char *);
    doublereal cscale;
    extern doublereal igraphdlange_(char *, integer *, integer *, doublereal *, 
	    integer *, doublereal *);
    extern /* Subroutine */ int igraphdgehrd_(integer *, integer *, integer *, 
	    doublereal *, integer *, doublereal *, doublereal *, integer *, 
	    integer *), igraphdlascl_(char *, integer *, integer *, doublereal *, 
	    doublereal *, integer *, integer *, doublereal *, integer *, 
	    integer *);
    extern integer igraphidamax_(integer *, doublereal *, integer *);
    extern /* Subroutine */ int igraphdlacpy_(char *, integer *, integer *, 
	    doublereal *, integer *, doublereal *, integer *), 
	    igraphdlartg_(doublereal *, doublereal *, doublereal *, doublereal *, 
	    doublereal *), igraphxerbla_(char *, integer *, ftnlen);
    logical select[1];
    extern integer igraphilaenv_(integer *, char *, char *, integer *, integer *, 
	    integer *, integer *, ftnlen, ftnlen);
    doublereal bignum;
    extern /* Subroutine */ int igraphdorghr_(integer *, integer *, integer *, 
	    doublereal *, integer *, doublereal *, doublereal *, integer *, 
	    integer *), igraphdhseqr_(char *, char *, integer *, integer *, integer 
	    *, doublereal *, integer *, doublereal *, doublereal *, 
	    doublereal *, integer *, doublereal *, integer *, integer *), igraphdtrevc_(char *, char *, logical *, integer *, 
	    doublereal *, integer *, doublereal *, integer *, doublereal *, 
	    integer *, integer *, integer *, doublereal *, integer *), igraphdtrsna_(char *, char *, logical *, integer *, doublereal 
	    *, integer *, doublereal *, integer *, doublereal *, integer *, 
	    doublereal *, doublereal *, integer *, integer *, doublereal *, 
	    integer *, integer *, integer *);
    integer minwrk, maxwrk;
    logical wantvl, wntsnb;
    integer hswork;
    logical wntsne;
    doublereal smlnum;
    logical lquery, wantvr, wntsnn, wntsnv;


/*  -- LAPACK driver routine (version 3.3.1) --   
    -- LAPACK is a software package provided by Univ. of Tennessee,    --   
    -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--   
    -- April 2011                                                      --   


    Purpose   
    =======   

    DGEEVX computes for an N-by-N real nonsymmetric matrix A, the   
    eigenvalues and, optionally, the left and/or right eigenvectors.   

    Optionally also, it computes a balancing transformation to improve   
    the conditioning of the eigenvalues and eigenvectors (ILO, IHI,   
    SCALE, and ABNRM), reciprocal condition numbers for the eigenvalues   
    (RCONDE), and reciprocal condition numbers for the right   
    eigenvectors (RCONDV).   

    The right eigenvector v(j) of A satisfies   
                     A * v(j) = lambda(j) * v(j)   
    where lambda(j) is its eigenvalue.   
    The left eigenvector u(j) of A satisfies   
                  u(j)**T * A = lambda(j) * u(j)**T   
    where u(j)**T denotes the transpose of u(j).   

    The computed eigenvectors are normalized to have Euclidean norm   
    equal to 1 and largest component real.   

    Balancing a matrix means permuting the rows and columns to make it   
    more nearly upper triangular, and applying a diagonal similarity   
    transformation D * A * D**(-1), where D is a diagonal matrix, to   
    make its rows and columns closer in norm and the condition numbers   
    of its eigenvalues and eigenvectors smaller.  The computed   
    reciprocal condition numbers correspond to the balanced matrix.   
    Permuting rows and columns will not change the condition numbers   
    (in exact arithmetic) but diagonal scaling will.  For further   
    explanation of balancing, see section 4.10.2 of the LAPACK   
    Users' Guide.   

    Arguments   
    =========   

    BALANC  (input) CHARACTER*1   
            Indicates how the input matrix should be diagonally scaled   
            and/or permuted to improve the conditioning of its   
            eigenvalues.   
            = 'N': Do not diagonally scale or permute;   
            = 'P': Perform permutations to make the matrix more nearly   
                   upper triangular. Do not diagonally scale;   
            = 'S': Diagonally scale the matrix, i.e. replace A by   
                   D*A*D**(-1), where D is a diagonal matrix chosen   
                   to make the rows and columns of A more equal in   
                   norm. Do not permute;   
            = 'B': Both diagonally scale and permute A.   

            Computed reciprocal condition numbers will be for the matrix   
            after balancing and/or permuting. Permuting does not change   
            condition numbers (in exact arithmetic), but balancing does.   

    JOBVL   (input) CHARACTER*1   
            = 'N': left eigenvectors of A are not computed;   
            = 'V': left eigenvectors of A are computed.   
            If SENSE = 'E' or 'B', JOBVL must = 'V'.   

    JOBVR   (input) CHARACTER*1   
            = 'N': right eigenvectors of A are not computed;   
            = 'V': right eigenvectors of A are computed.   
            If SENSE = 'E' or 'B', JOBVR must = 'V'.   

    SENSE   (input) CHARACTER*1   
            Determines which reciprocal condition numbers are computed.   
            = 'N': None are computed;   
            = 'E': Computed for eigenvalues only;   
            = 'V': Computed for right eigenvectors only;   
            = 'B': Computed for eigenvalues and right eigenvectors.   

            If SENSE = 'E' or 'B', both left and right eigenvectors   
            must also be computed (JOBVL = 'V' and JOBVR = 'V').   

    N       (input) INTEGER   
            The order of the matrix A. N >= 0.   

    A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)   
            On entry, the N-by-N matrix A.   
            On exit, A has been overwritten.  If JOBVL = 'V' or   
            JOBVR = 'V', A contains the real Schur form of the balanced   
            version of the input matrix A.   

    LDA     (input) INTEGER   
            The leading dimension of the array A.  LDA >= max(1,N).   

    WR      (output) DOUBLE PRECISION array, dimension (N)   
    WI      (output) DOUBLE PRECISION array, dimension (N)   
            WR and WI contain the real and imaginary parts,   
            respectively, of the computed eigenvalues.  Complex   
            conjugate pairs of eigenvalues will appear consecutively   
            with the eigenvalue having the positive imaginary part   
            first.   

    VL      (output) DOUBLE PRECISION array, dimension (LDVL,N)   
            If JOBVL = 'V', the left eigenvectors u(j) are stored one   
            after another in the columns of VL, in the same order   
            as their eigenvalues.   
            If JOBVL = 'N', VL is not referenced.   
            If the j-th eigenvalue is real, then u(j) = VL(:,j),   
            the j-th column of VL.   
            If the j-th and (j+1)-st eigenvalues form a complex   
            conjugate pair, then u(j) = VL(:,j) + i*VL(:,j+1) and   
            u(j+1) = VL(:,j) - i*VL(:,j+1).   

    LDVL    (input) INTEGER   
            The leading dimension of the array VL.  LDVL >= 1; if   
            JOBVL = 'V', LDVL >= N.   

    VR      (output) DOUBLE PRECISION array, dimension (LDVR,N)   
            If JOBVR = 'V', the right eigenvectors v(j) are stored one   
            after another in the columns of VR, in the same order   
            as their eigenvalues.   
            If JOBVR = 'N', VR is not referenced.   
            If the j-th eigenvalue is real, then v(j) = VR(:,j),   
            the j-th column of VR.   
            If the j-th and (j+1)-st eigenvalues form a complex   
            conjugate pair, then v(j) = VR(:,j) + i*VR(:,j+1) and   
            v(j+1) = VR(:,j) - i*VR(:,j+1).   

    LDVR    (input) INTEGER   
            The leading dimension of the array VR.  LDVR >= 1, and if   
            JOBVR = 'V', LDVR >= N.   

    ILO     (output) INTEGER   
    IHI     (output) INTEGER   
            ILO and IHI are integer values determined when A was   
            balanced.  The balanced A(i,j) = 0 if I > J and   
            J = 1,...,ILO-1 or I = IHI+1,...,N.   

    SCALE   (output) DOUBLE PRECISION array, dimension (N)   
            Details of the permutations and scaling factors applied   
            when balancing A.  If P(j) is the index of the row and column   
            interchanged with row and column j, and D(j) is the scaling   
            factor applied to row and column j, then   
            SCALE(J) = P(J),    for J = 1,...,ILO-1   
                     = D(J),    for J = ILO,...,IHI   
                     = P(J)     for J = IHI+1,...,N.   
            The order in which the interchanges are made is N to IHI+1,   
            then 1 to ILO-1.   

    ABNRM   (output) DOUBLE PRECISION   
            The one-norm of the balanced matrix (the maximum   
            of the sum of absolute values of elements of any column).   

    RCONDE  (output) DOUBLE PRECISION array, dimension (N)   
            RCONDE(j) is the reciprocal condition number of the j-th   
            eigenvalue.   

    RCONDV  (output) DOUBLE PRECISION array, dimension (N)   
            RCONDV(j) is the reciprocal condition number of the j-th   
            right eigenvector.   

    WORK    (workspace/output) DOUBLE PRECISION array, dimension (MAX(1,LWORK))   
            On exit, if INFO = 0, WORK(1) returns the optimal LWORK.   

    LWORK   (input) INTEGER   
            The dimension of the array WORK.   If SENSE = 'N' or 'E',   
            LWORK >= max(1,2*N), and if JOBVL = 'V' or JOBVR = 'V',   
            LWORK >= 3*N.  If SENSE = 'V' or 'B', LWORK >= N*(N+6).   
            For good performance, LWORK must generally be larger.   

            If LWORK = -1, then a workspace query is assumed; the routine   
            only calculates the optimal size of the WORK array, returns   
            this value as the first entry of the WORK array, and no error   
            message related to LWORK is issued by XERBLA.   

    IWORK   (workspace) INTEGER array, dimension (2*N-2)   
            If SENSE = 'N' or 'E', not referenced.   

    INFO    (output) INTEGER   
            = 0:  successful exit   
            < 0:  if INFO = -i, the i-th argument had an illegal value.   
            > 0:  if INFO = i, the QR algorithm failed to compute all the   
                  eigenvalues, and no eigenvectors or condition numbers   
                  have been computed; elements 1:ILO-1 and i+1:N of WR   
                  and WI contain eigenvalues which have converged.   

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


       Test the input arguments   

       Parameter adjustments */
    a_dim1 = *lda;
    a_offset = 1 + a_dim1;
    a -= a_offset;
    --wr;
    --wi;
    vl_dim1 = *ldvl;
    vl_offset = 1 + vl_dim1;
    vl -= vl_offset;
    vr_dim1 = *ldvr;
    vr_offset = 1 + vr_dim1;
    vr -= vr_offset;
    --scale;
    --rconde;
    --rcondv;
    --work;
    --iwork;

    /* Function Body */
    *info = 0;
    lquery = *lwork == -1;
    wantvl = igraphlsame_(jobvl, "V");
    wantvr = igraphlsame_(jobvr, "V");
    wntsnn = igraphlsame_(sense, "N");
    wntsne = igraphlsame_(sense, "E");
    wntsnv = igraphlsame_(sense, "V");
    wntsnb = igraphlsame_(sense, "B");
    if (! (igraphlsame_(balanc, "N") || igraphlsame_(balanc, "S") || igraphlsame_(balanc, "P") 
	    || igraphlsame_(balanc, "B"))) {
	*info = -1;
    } else if (! wantvl && ! igraphlsame_(jobvl, "N")) {
	*info = -2;
    } else if (! wantvr && ! igraphlsame_(jobvr, "N")) {
	*info = -3;
    } else if (! (wntsnn || wntsne || wntsnb || wntsnv) || (wntsne || wntsnb) 
	    && ! (wantvl && wantvr)) {
	*info = -4;
    } else if (*n < 0) {
	*info = -5;
    } else if (*lda < max(1,*n)) {
	*info = -7;
    } else if (*ldvl < 1 || wantvl && *ldvl < *n) {
	*info = -11;
    } else if (*ldvr < 1 || wantvr && *ldvr < *n) {
	*info = -13;
    }

/*     Compute workspace   
        (Note: Comments in the code beginning "Workspace:" describe the   
         minimal amount of workspace needed at that point in the code,   
         as well as the preferred amount for good performance.   
         NB refers to the optimal block size for the immediately   
         following subroutine, as returned by ILAENV.   
         HSWORK refers to the workspace preferred by DHSEQR, as   
         calculated below. HSWORK is computed assuming ILO=1 and IHI=N,   
         the worst case.) */

    if (*info == 0) {
	if (*n == 0) {
	    minwrk = 1;
	    maxwrk = 1;
	} else {
	    maxwrk = *n + *n * igraphilaenv_(&c__1, "DGEHRD", " ", n, &c__1, n, &
		    c__0, (ftnlen)6, (ftnlen)1);

	    if (wantvl) {
		igraphdhseqr_("S", "V", n, &c__1, n, &a[a_offset], lda, &wr[1], &wi[
			1], &vl[vl_offset], ldvl, &work[1], &c_n1, info);
	    } else if (wantvr) {
		igraphdhseqr_("S", "V", n, &c__1, n, &a[a_offset], lda, &wr[1], &wi[
			1], &vr[vr_offset], ldvr, &work[1], &c_n1, info);
	    } else {
		if (wntsnn) {
		    igraphdhseqr_("E", "N", n, &c__1, n, &a[a_offset], lda, &wr[1], 
			    &wi[1], &vr[vr_offset], ldvr, &work[1], &c_n1, 
			    info);
		} else {
		    igraphdhseqr_("S", "N", n, &c__1, n, &a[a_offset], lda, &wr[1], 
			    &wi[1], &vr[vr_offset], ldvr, &work[1], &c_n1, 
			    info);
		}
	    }
	    hswork = (integer) work[1];

	    if (! wantvl && ! wantvr) {
		minwrk = *n << 1;
		if (! wntsnn) {
/* Computing MAX */
		    i__1 = minwrk, i__2 = *n * *n + *n * 6;
		    minwrk = max(i__1,i__2);
		}
		maxwrk = max(maxwrk,hswork);
		if (! wntsnn) {
/* Computing MAX */
		    i__1 = maxwrk, i__2 = *n * *n + *n * 6;
		    maxwrk = max(i__1,i__2);
		}
	    } else {
		minwrk = *n * 3;
		if (! wntsnn && ! wntsne) {
/* Computing MAX */
		    i__1 = minwrk, i__2 = *n * *n + *n * 6;
		    minwrk = max(i__1,i__2);
		}
		maxwrk = max(maxwrk,hswork);
/* Computing MAX */
		i__1 = maxwrk, i__2 = *n + (*n - 1) * igraphilaenv_(&c__1, "DORGHR",
			 " ", n, &c__1, n, &c_n1, (ftnlen)6, (ftnlen)1);
		maxwrk = max(i__1,i__2);
		if (! wntsnn && ! wntsne) {
/* Computing MAX */
		    i__1 = maxwrk, i__2 = *n * *n + *n * 6;
		    maxwrk = max(i__1,i__2);
		}
/* Computing MAX */
		i__1 = maxwrk, i__2 = *n * 3;
		maxwrk = max(i__1,i__2);
	    }
	    maxwrk = max(maxwrk,minwrk);
	}
	work[1] = (doublereal) maxwrk;

	if (*lwork < minwrk && ! lquery) {
	    *info = -21;
	}
    }

    if (*info != 0) {
	i__1 = -(*info);
	igraphxerbla_("DGEEVX", &i__1, (ftnlen)6);
	return 0;
    } else if (lquery) {
	return 0;
    }

/*     Quick return if possible */

    if (*n == 0) {
	return 0;
    }

/*     Get machine constants */

    eps = igraphdlamch_("P");
    smlnum = igraphdlamch_("S");
    bignum = 1. / smlnum;
    igraphdlabad_(&smlnum, &bignum);
    smlnum = sqrt(smlnum) / eps;
    bignum = 1. / smlnum;

/*     Scale A if max element outside range [SMLNUM,BIGNUM] */

    icond = 0;
    anrm = igraphdlange_("M", n, n, &a[a_offset], lda, dum);
    scalea = FALSE_;
    if (anrm > 0. && anrm < smlnum) {
	scalea = TRUE_;
	cscale = smlnum;
    } else if (anrm > bignum) {
	scalea = TRUE_;
	cscale = bignum;
    }
    if (scalea) {
	igraphdlascl_("G", &c__0, &c__0, &anrm, &cscale, n, n, &a[a_offset], lda, &
		ierr);
    }

/*     Balance the matrix and compute ABNRM */

    igraphdgebal_(balanc, n, &a[a_offset], lda, ilo, ihi, &scale[1], &ierr);
    *abnrm = igraphdlange_("1", n, n, &a[a_offset], lda, dum);
    if (scalea) {
	dum[0] = *abnrm;
	igraphdlascl_("G", &c__0, &c__0, &cscale, &anrm, &c__1, &c__1, dum, &c__1, &
		ierr);
	*abnrm = dum[0];
    }

/*     Reduce to upper Hessenberg form   
       (Workspace: need 2*N, prefer N+N*NB) */

    itau = 1;
    iwrk = itau + *n;
    i__1 = *lwork - iwrk + 1;
    igraphdgehrd_(n, ilo, ihi, &a[a_offset], lda, &work[itau], &work[iwrk], &i__1, &
	    ierr);

    if (wantvl) {

/*        Want left eigenvectors   
          Copy Householder vectors to VL */

	*(unsigned char *)side = 'L';
	igraphdlacpy_("L", n, n, &a[a_offset], lda, &vl[vl_offset], ldvl)
		;

/*        Generate orthogonal matrix in VL   
          (Workspace: need 2*N-1, prefer N+(N-1)*NB) */

	i__1 = *lwork - iwrk + 1;
	igraphdorghr_(n, ilo, ihi, &vl[vl_offset], ldvl, &work[itau], &work[iwrk], &
		i__1, &ierr);

/*        Perform QR iteration, accumulating Schur vectors in VL   
          (Workspace: need 1, prefer HSWORK (see comments) ) */

	iwrk = itau;
	i__1 = *lwork - iwrk + 1;
	igraphdhseqr_("S", "V", n, ilo, ihi, &a[a_offset], lda, &wr[1], &wi[1], &vl[
		vl_offset], ldvl, &work[iwrk], &i__1, info);

	if (wantvr) {

/*           Want left and right eigenvectors   
             Copy Schur vectors to VR */

	    *(unsigned char *)side = 'B';
	    igraphdlacpy_("F", n, n, &vl[vl_offset], ldvl, &vr[vr_offset], ldvr);
	}

    } else if (wantvr) {

/*        Want right eigenvectors   
          Copy Householder vectors to VR */

	*(unsigned char *)side = 'R';
	igraphdlacpy_("L", n, n, &a[a_offset], lda, &vr[vr_offset], ldvr)
		;

/*        Generate orthogonal matrix in VR   
          (Workspace: need 2*N-1, prefer N+(N-1)*NB) */

	i__1 = *lwork - iwrk + 1;
	igraphdorghr_(n, ilo, ihi, &vr[vr_offset], ldvr, &work[itau], &work[iwrk], &
		i__1, &ierr);

/*        Perform QR iteration, accumulating Schur vectors in VR   
          (Workspace: need 1, prefer HSWORK (see comments) ) */

	iwrk = itau;
	i__1 = *lwork - iwrk + 1;
	igraphdhseqr_("S", "V", n, ilo, ihi, &a[a_offset], lda, &wr[1], &wi[1], &vr[
		vr_offset], ldvr, &work[iwrk], &i__1, info);

    } else {

/*        Compute eigenvalues only   
          If condition numbers desired, compute Schur form */

	if (wntsnn) {
	    *(unsigned char *)job = 'E';
	} else {
	    *(unsigned char *)job = 'S';
	}

/*        (Workspace: need 1, prefer HSWORK (see comments) ) */

	iwrk = itau;
	i__1 = *lwork - iwrk + 1;
	igraphdhseqr_(job, "N", n, ilo, ihi, &a[a_offset], lda, &wr[1], &wi[1], &vr[
		vr_offset], ldvr, &work[iwrk], &i__1, info);
    }

/*     If INFO > 0 from DHSEQR, then quit */

    if (*info > 0) {
	goto L50;
    }

    if (wantvl || wantvr) {

/*        Compute left and/or right eigenvectors   
          (Workspace: need 3*N) */

	igraphdtrevc_(side, "B", select, n, &a[a_offset], lda, &vl[vl_offset], ldvl,
		 &vr[vr_offset], ldvr, n, &nout, &work[iwrk], &ierr);
    }

/*     Compute condition numbers if desired   
       (Workspace: need N*N+6*N unless SENSE = 'E') */

    if (! wntsnn) {
	igraphdtrsna_(sense, "A", select, n, &a[a_offset], lda, &vl[vl_offset], 
		ldvl, &vr[vr_offset], ldvr, &rconde[1], &rcondv[1], n, &nout, 
		&work[iwrk], n, &iwork[1], &icond);
    }

    if (wantvl) {

/*        Undo balancing of left eigenvectors */

	igraphdgebak_(balanc, "L", n, ilo, ihi, &scale[1], n, &vl[vl_offset], ldvl, 
		&ierr);

/*        Normalize left eigenvectors and make largest component real */

	i__1 = *n;
	for (i__ = 1; i__ <= i__1; ++i__) {
	    if (wi[i__] == 0.) {
		scl = 1. / igraphdnrm2_(n, &vl[i__ * vl_dim1 + 1], &c__1);
		igraphdscal_(n, &scl, &vl[i__ * vl_dim1 + 1], &c__1);
	    } else if (wi[i__] > 0.) {
		d__1 = igraphdnrm2_(n, &vl[i__ * vl_dim1 + 1], &c__1);
		d__2 = igraphdnrm2_(n, &vl[(i__ + 1) * vl_dim1 + 1], &c__1);
		scl = 1. / igraphdlapy2_(&d__1, &d__2);
		igraphdscal_(n, &scl, &vl[i__ * vl_dim1 + 1], &c__1);
		igraphdscal_(n, &scl, &vl[(i__ + 1) * vl_dim1 + 1], &c__1);
		i__2 = *n;
		for (k = 1; k <= i__2; ++k) {
/* Computing 2nd power */
		    d__1 = vl[k + i__ * vl_dim1];
/* Computing 2nd power */
		    d__2 = vl[k + (i__ + 1) * vl_dim1];
		    work[k] = d__1 * d__1 + d__2 * d__2;
/* L10: */
		}
		k = igraphidamax_(n, &work[1], &c__1);
		igraphdlartg_(&vl[k + i__ * vl_dim1], &vl[k + (i__ + 1) * vl_dim1], 
			&cs, &sn, &r__);
		igraphdrot_(n, &vl[i__ * vl_dim1 + 1], &c__1, &vl[(i__ + 1) * 
			vl_dim1 + 1], &c__1, &cs, &sn);
		vl[k + (i__ + 1) * vl_dim1] = 0.;
	    }
/* L20: */
	}
    }

    if (wantvr) {

/*        Undo balancing of right eigenvectors */

	igraphdgebak_(balanc, "R", n, ilo, ihi, &scale[1], n, &vr[vr_offset], ldvr, 
		&ierr);

/*        Normalize right eigenvectors and make largest component real */

	i__1 = *n;
	for (i__ = 1; i__ <= i__1; ++i__) {
	    if (wi[i__] == 0.) {
		scl = 1. / igraphdnrm2_(n, &vr[i__ * vr_dim1 + 1], &c__1);
		igraphdscal_(n, &scl, &vr[i__ * vr_dim1 + 1], &c__1);
	    } else if (wi[i__] > 0.) {
		d__1 = igraphdnrm2_(n, &vr[i__ * vr_dim1 + 1], &c__1);
		d__2 = igraphdnrm2_(n, &vr[(i__ + 1) * vr_dim1 + 1], &c__1);
		scl = 1. / igraphdlapy2_(&d__1, &d__2);
		igraphdscal_(n, &scl, &vr[i__ * vr_dim1 + 1], &c__1);
		igraphdscal_(n, &scl, &vr[(i__ + 1) * vr_dim1 + 1], &c__1);
		i__2 = *n;
		for (k = 1; k <= i__2; ++k) {
/* Computing 2nd power */
		    d__1 = vr[k + i__ * vr_dim1];
/* Computing 2nd power */
		    d__2 = vr[k + (i__ + 1) * vr_dim1];
		    work[k] = d__1 * d__1 + d__2 * d__2;
/* L30: */
		}
		k = igraphidamax_(n, &work[1], &c__1);
		igraphdlartg_(&vr[k + i__ * vr_dim1], &vr[k + (i__ + 1) * vr_dim1], 
			&cs, &sn, &r__);
		igraphdrot_(n, &vr[i__ * vr_dim1 + 1], &c__1, &vr[(i__ + 1) * 
			vr_dim1 + 1], &c__1, &cs, &sn);
		vr[k + (i__ + 1) * vr_dim1] = 0.;
	    }
/* L40: */
	}
    }

/*     Undo scaling if necessary */

L50:
    if (scalea) {
	i__1 = *n - *info;
/* Computing MAX */
	i__3 = *n - *info;
	i__2 = max(i__3,1);
	igraphdlascl_("G", &c__0, &c__0, &cscale, &anrm, &i__1, &c__1, &wr[*info + 
		1], &i__2, &ierr);
	i__1 = *n - *info;
/* Computing MAX */
	i__3 = *n - *info;
	i__2 = max(i__3,1);
	igraphdlascl_("G", &c__0, &c__0, &cscale, &anrm, &i__1, &c__1, &wi[*info + 
		1], &i__2, &ierr);
	if (*info == 0) {
	    if ((wntsnv || wntsnb) && icond == 0) {
		igraphdlascl_("G", &c__0, &c__0, &cscale, &anrm, n, &c__1, &rcondv[
			1], n, &ierr);
	    }
	} else {
	    i__1 = *ilo - 1;
	    igraphdlascl_("G", &c__0, &c__0, &cscale, &anrm, &i__1, &c__1, &wr[1], 
		    n, &ierr);
	    i__1 = *ilo - 1;
	    igraphdlascl_("G", &c__0, &c__0, &cscale, &anrm, &i__1, &c__1, &wi[1], 
		    n, &ierr);
	}
    }

    work[1] = (doublereal) maxwrk;
    return 0;

/*     End of DGEEVX */

} /* igraphdgeevx_ */

