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/* -- translated by f2c (version 20240504).
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;
/* > \brief <b> DGEEVX computes the eigenvalues and, optionally, the left and/or right eigenvectors for GE mat
rices</b>
=========== DOCUMENTATION ===========
Online html documentation available at
http://www.netlib.org/lapack/explore-html/
> \htmlonly
> Download DGEEVX + dependencies
> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dgeevx.
f">
> [TGZ]</a>
> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dgeevx.
f">
> [ZIP]</a>
> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dgeevx.
f">
> [TXT]</a>
> \endhtmlonly
Definition:
===========
SUBROUTINE DGEEVX( BALANC, JOBVL, JOBVR, SENSE, N, A, LDA, WR, WI,
VL, LDVL, VR, LDVR, ILO, IHI, SCALE, ABNRM,
RCONDE, RCONDV, WORK, LWORK, IWORK, INFO )
CHARACTER BALANC, JOBVL, JOBVR, SENSE
INTEGER IHI, ILO, INFO, LDA, LDVL, LDVR, LWORK, N
DOUBLE PRECISION ABNRM
INTEGER IWORK( * )
DOUBLE PRECISION A( LDA, * ), RCONDE( * ), RCONDV( * ),
$ SCALE( * ), VL( LDVL, * ), VR( LDVR, * ),
$ WI( * ), WORK( * ), WR( * )
> \par Purpose:
=============
>
> \verbatim
>
> 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)**H * A = lambda(j) * u(j)**H
> where u(j)**H denotes the conjugate-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.
> \endverbatim
Arguments:
==========
> \param[in] BALANC
> \verbatim
> BALANC is 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.
> \endverbatim
>
> \param[in] JOBVL
> \verbatim
> JOBVL is 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'.
> \endverbatim
>
> \param[in] JOBVR
> \verbatim
> JOBVR is 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'.
> \endverbatim
>
> \param[in] SENSE
> \verbatim
> SENSE is 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').
> \endverbatim
>
> \param[in] N
> \verbatim
> N is INTEGER
> The order of the matrix A. N >= 0.
> \endverbatim
>
> \param[in,out] A
> \verbatim
> A is 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.
> \endverbatim
>
> \param[in] LDA
> \verbatim
> LDA is INTEGER
> The leading dimension of the array A. LDA >= 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)
> 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.
> \endverbatim
>
> \param[out] VL
> \verbatim
> VL is 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).
> \endverbatim
>
> \param[in] LDVL
> \verbatim
> LDVL is INTEGER
> The leading dimension of the array VL. LDVL >= 1; if
> JOBVL = 'V', LDVL >= N.
> \endverbatim
>
> \param[out] VR
> \verbatim
> VR is 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).
> \endverbatim
>
> \param[in] LDVR
> \verbatim
> LDVR is INTEGER
> The leading dimension of the array VR. LDVR >= 1, and if
> JOBVR = 'V', LDVR >= N.
> \endverbatim
>
> \param[out] ILO
> \verbatim
> ILO is INTEGER
> \endverbatim
>
> \param[out] IHI
> \verbatim
> IHI is 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.
> \endverbatim
>
> \param[out] SCALE
> \verbatim
> SCALE is 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.
> \endverbatim
>
> \param[out] ABNRM
> \verbatim
> ABNRM is DOUBLE PRECISION
> The one-norm of the balanced matrix (the maximum
> of the sum of absolute values of elements of any column).
> \endverbatim
>
> \param[out] RCONDE
> \verbatim
> RCONDE is DOUBLE PRECISION array, dimension (N)
> RCONDE(j) is the reciprocal condition number of the j-th
> eigenvalue.
> \endverbatim
>
> \param[out] RCONDV
> \verbatim
> RCONDV is DOUBLE PRECISION array, dimension (N)
> RCONDV(j) is the reciprocal condition number of the j-th
> right eigenvector.
> \endverbatim
>
> \param[out] WORK
> \verbatim
> WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK))
> On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
> \endverbatim
>
> \param[in] LWORK
> \verbatim
> LWORK is 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.
> \endverbatim
>
> \param[out] IWORK
> \verbatim
> IWORK is INTEGER array, dimension (2*N-2)
> If SENSE = 'N' or 'E', not referenced.
> \endverbatim
>
> \param[out] INFO
> \verbatim
> INFO is 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.
> \endverbatim
Authors:
========
> \author Univ. of Tennessee
> \author Univ. of California Berkeley
> \author Univ. of Colorado Denver
> \author NAG Ltd.
> \date September 2012
> \ingroup doubleGEeigen
=====================================================================
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 3.4.2) --
-- LAPACK is a software package provided by Univ. of Tennessee, --
-- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
September 2012
=====================================================================
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_ */
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