Add graph references
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/* -- translated by f2c (version 20240504).
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You must link the resulting object file with libf2c:
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on Microsoft Windows system, link with libf2c.lib;
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on Linux or Unix systems, link with .../path/to/libf2c.a -lm
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or, if you install libf2c.a in a standard place, with -lf2c -lm
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-- in that order, at the end of the command line, as in
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cc *.o -lf2c -lm
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Source for libf2c is in /netlib/f2c/libf2c.zip, e.g.,
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http://www.netlib.org/f2c/libf2c.zip
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*/
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#include "f2c.h"
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/* Table of constant values */
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static doublereal c_b4 = 1.;
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/* > \brief \b DLANV2 computes the Schur factorization of a real 2-by-2 nonsymmetric matrix in standard form.
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=========== DOCUMENTATION ===========
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Online html documentation available at
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http://www.netlib.org/lapack/explore-html/
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> \htmlonly
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> Download DLANV2 + dependencies
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> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/dlanv2.
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f">
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> [TGZ]</a>
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> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/dlanv2.
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f">
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> [ZIP]</a>
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> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/dlanv2.
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f">
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> [TXT]</a>
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> \endhtmlonly
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Definition:
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===========
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SUBROUTINE DLANV2( A, B, C, D, RT1R, RT1I, RT2R, RT2I, CS, SN )
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DOUBLE PRECISION A, B, C, CS, D, RT1I, RT1R, RT2I, RT2R, SN
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> \par Purpose:
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=============
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>
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> \verbatim
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>
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> DLANV2 computes the Schur factorization of a real 2-by-2 nonsymmetric
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> matrix in standard form:
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>
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> [ A B ] = [ CS -SN ] [ AA BB ] [ CS SN ]
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> [ C D ] [ SN CS ] [ CC DD ] [-SN CS ]
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>
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> where either
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> 1) CC = 0 so that AA and DD are real eigenvalues of the matrix, or
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> 2) AA = DD and BB*CC < 0, so that AA + or - sqrt(BB*CC) are complex
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> conjugate eigenvalues.
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> \endverbatim
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Arguments:
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==========
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> \param[in,out] A
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> \verbatim
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> A is DOUBLE PRECISION
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> \endverbatim
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>
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> \param[in,out] B
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> \verbatim
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> B is DOUBLE PRECISION
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> \endverbatim
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>
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> \param[in,out] C
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> \verbatim
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> C is DOUBLE PRECISION
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> \endverbatim
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>
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> \param[in,out] D
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> \verbatim
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> D is DOUBLE PRECISION
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> On entry, the elements of the input matrix.
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> On exit, they are overwritten by the elements of the
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> standardised Schur form.
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> \endverbatim
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>
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> \param[out] RT1R
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> \verbatim
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> RT1R is DOUBLE PRECISION
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> \endverbatim
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>
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> \param[out] RT1I
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> \verbatim
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> RT1I is DOUBLE PRECISION
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> \endverbatim
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>
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> \param[out] RT2R
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> \verbatim
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> RT2R is DOUBLE PRECISION
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> \endverbatim
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>
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> \param[out] RT2I
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> \verbatim
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> RT2I is DOUBLE PRECISION
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> The real and imaginary parts of the eigenvalues. If the
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> eigenvalues are a complex conjugate pair, RT1I > 0.
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> \endverbatim
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>
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> \param[out] CS
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> \verbatim
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> CS is DOUBLE PRECISION
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> \endverbatim
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>
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> \param[out] SN
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> \verbatim
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> SN is DOUBLE PRECISION
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> Parameters of the rotation matrix.
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> \endverbatim
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Authors:
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========
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> \author Univ. of Tennessee
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> \author Univ. of California Berkeley
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> \author Univ. of Colorado Denver
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> \author NAG Ltd.
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> \date September 2012
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> \ingroup doubleOTHERauxiliary
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> \par Further Details:
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=====================
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>
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> \verbatim
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>
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> Modified by V. Sima, Research Institute for Informatics, Bucharest,
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> Romania, to reduce the risk of cancellation errors,
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> when computing real eigenvalues, and to ensure, if possible, that
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> abs(RT1R) >= abs(RT2R).
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> \endverbatim
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>
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=====================================================================
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Subroutine */ int igraphdlanv2_(doublereal *a, doublereal *b, doublereal *c__,
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doublereal *d__, doublereal *rt1r, doublereal *rt1i, doublereal *rt2r,
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doublereal *rt2i, doublereal *cs, doublereal *sn)
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{
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/* System generated locals */
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doublereal d__1, d__2;
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/* Builtin functions */
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double d_sign(doublereal *, doublereal *), sqrt(doublereal);
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/* Local variables */
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doublereal p, z__, aa, bb, cc, dd, cs1, sn1, sab, sac, eps, tau, temp,
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scale, bcmax, bcmis, sigma;
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extern doublereal igraphdlapy2_(doublereal *, doublereal *), igraphdlamch_(char *);
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/* -- LAPACK auxiliary routine (version 3.4.2) --
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-- LAPACK is a software package provided by Univ. of Tennessee, --
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-- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
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September 2012
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===================================================================== */
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eps = igraphdlamch_("P");
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if (*c__ == 0.) {
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*cs = 1.;
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*sn = 0.;
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goto L10;
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} else if (*b == 0.) {
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/* Swap rows and columns */
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*cs = 0.;
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*sn = 1.;
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temp = *d__;
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*d__ = *a;
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*a = temp;
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*b = -(*c__);
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*c__ = 0.;
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goto L10;
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} else if (*a - *d__ == 0. && d_sign(&c_b4, b) != d_sign(&c_b4, c__)) {
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*cs = 1.;
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*sn = 0.;
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goto L10;
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} else {
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temp = *a - *d__;
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p = temp * .5;
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/* Computing MAX */
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d__1 = abs(*b), d__2 = abs(*c__);
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bcmax = max(d__1,d__2);
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/* Computing MIN */
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d__1 = abs(*b), d__2 = abs(*c__);
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bcmis = min(d__1,d__2) * d_sign(&c_b4, b) * d_sign(&c_b4, c__);
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/* Computing MAX */
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d__1 = abs(p);
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scale = max(d__1,bcmax);
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z__ = p / scale * p + bcmax / scale * bcmis;
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/* If Z is of the order of the machine accuracy, postpone the
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decision on the nature of eigenvalues */
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if (z__ >= eps * 4.) {
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/* Real eigenvalues. Compute A and D. */
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d__1 = sqrt(scale) * sqrt(z__);
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z__ = p + d_sign(&d__1, &p);
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*a = *d__ + z__;
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*d__ -= bcmax / z__ * bcmis;
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/* Compute B and the rotation matrix */
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tau = igraphdlapy2_(c__, &z__);
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*cs = z__ / tau;
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*sn = *c__ / tau;
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*b -= *c__;
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*c__ = 0.;
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} else {
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/* Complex eigenvalues, or real (almost) equal eigenvalues.
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Make diagonal elements equal. */
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sigma = *b + *c__;
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tau = igraphdlapy2_(&sigma, &temp);
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*cs = sqrt((abs(sigma) / tau + 1.) * .5);
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*sn = -(p / (tau * *cs)) * d_sign(&c_b4, &sigma);
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/* Compute [ AA BB ] = [ A B ] [ CS -SN ]
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[ CC DD ] [ C D ] [ SN CS ] */
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aa = *a * *cs + *b * *sn;
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bb = -(*a) * *sn + *b * *cs;
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cc = *c__ * *cs + *d__ * *sn;
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dd = -(*c__) * *sn + *d__ * *cs;
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/* Compute [ A B ] = [ CS SN ] [ AA BB ]
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[ C D ] [-SN CS ] [ CC DD ] */
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*a = aa * *cs + cc * *sn;
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*b = bb * *cs + dd * *sn;
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*c__ = -aa * *sn + cc * *cs;
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*d__ = -bb * *sn + dd * *cs;
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temp = (*a + *d__) * .5;
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*a = temp;
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*d__ = temp;
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if (*c__ != 0.) {
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if (*b != 0.) {
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if (d_sign(&c_b4, b) == d_sign(&c_b4, c__)) {
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/* Real eigenvalues: reduce to upper triangular form */
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sab = sqrt((abs(*b)));
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sac = sqrt((abs(*c__)));
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d__1 = sab * sac;
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p = d_sign(&d__1, c__);
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tau = 1. / sqrt((d__1 = *b + *c__, abs(d__1)));
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*a = temp + p;
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*d__ = temp - p;
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*b -= *c__;
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*c__ = 0.;
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cs1 = sab * tau;
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sn1 = sac * tau;
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temp = *cs * cs1 - *sn * sn1;
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*sn = *cs * sn1 + *sn * cs1;
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*cs = temp;
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}
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} else {
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*b = -(*c__);
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*c__ = 0.;
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temp = *cs;
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*cs = -(*sn);
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*sn = temp;
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}
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}
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}
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}
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L10:
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/* Store eigenvalues in (RT1R,RT1I) and (RT2R,RT2I). */
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*rt1r = *a;
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*rt2r = *d__;
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if (*c__ == 0.) {
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*rt1i = 0.;
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*rt2i = 0.;
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} else {
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*rt1i = sqrt((abs(*b))) * sqrt((abs(*c__)));
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*rt2i = -(*rt1i);
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}
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return 0;
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/* End of DLANV2 */
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} /* igraphdlanv2_ */
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