/* -- 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; static integer c_n1 = -1; static doublereal c_b12 = 0.; static doublereal c_b13 = 1.; static logical c_true = TRUE_; /* > \brief \b DLAQR2 performs the orthogonal similarity transformation of a Hessenberg matrix to detect and d eflate fully converged eigenvalues from a trailing principal submatrix (aggressive early deflation). =========== DOCUMENTATION =========== Online html documentation available at http://www.netlib.org/lapack/explore-html/ > \htmlonly > Download DLAQR2 + dependencies > > [TGZ] > > [ZIP] > > [TXT] > \endhtmlonly Definition: =========== SUBROUTINE DLAQR2( WANTT, WANTZ, N, KTOP, KBOT, NW, H, LDH, ILOZ, IHIZ, Z, LDZ, NS, ND, SR, SI, V, LDV, NH, T, LDT, NV, WV, LDWV, WORK, LWORK ) INTEGER IHIZ, ILOZ, KBOT, KTOP, LDH, LDT, LDV, LDWV, $ LDZ, LWORK, N, ND, NH, NS, NV, NW LOGICAL WANTT, WANTZ DOUBLE PRECISION H( LDH, * ), SI( * ), SR( * ), T( LDT, * ), $ V( LDV, * ), WORK( * ), WV( LDWV, * ), $ Z( LDZ, * ) > \par Purpose: ============= > > \verbatim > > DLAQR2 is identical to DLAQR3 except that it avoids > recursion by calling DLAHQR instead of DLAQR4. > > Aggressive early deflation: > > This subroutine accepts as input an upper Hessenberg matrix > H and performs an orthogonal similarity transformation > designed to detect and deflate fully converged eigenvalues from > a trailing principal submatrix. On output H has been over- > written by a new Hessenberg matrix that is a perturbation of > an orthogonal similarity transformation of H. It is to be > hoped that the final version of H has many zero subdiagonal > entries. > \endverbatim Arguments: ========== > \param[in] WANTT > \verbatim > WANTT is LOGICAL > If .TRUE., then the Hessenberg matrix H is fully updated > so that the quasi-triangular Schur factor may be > computed (in cooperation with the calling subroutine). > If .FALSE., then only enough of H is updated to preserve > the eigenvalues. > \endverbatim > > \param[in] WANTZ > \verbatim > WANTZ is LOGICAL > If .TRUE., then the orthogonal matrix Z is updated so > so that the orthogonal Schur factor may be computed > (in cooperation with the calling subroutine). > If .FALSE., then Z is not referenced. > \endverbatim > > \param[in] N > \verbatim > N is INTEGER > The order of the matrix H and (if WANTZ is .TRUE.) the > order of the orthogonal matrix Z. > \endverbatim > > \param[in] KTOP > \verbatim > KTOP is INTEGER > It is assumed that either KTOP = 1 or H(KTOP,KTOP-1)=0. > KBOT and KTOP together determine an isolated block > along the diagonal of the Hessenberg matrix. > \endverbatim > > \param[in] KBOT > \verbatim > KBOT is INTEGER > It is assumed without a check that either > KBOT = N or H(KBOT+1,KBOT)=0. KBOT and KTOP together > determine an isolated block along the diagonal of the > Hessenberg matrix. > \endverbatim > > \param[in] NW > \verbatim > NW is INTEGER > Deflation window size. 1 .LE. NW .LE. (KBOT-KTOP+1). > \endverbatim > > \param[in,out] H > \verbatim > H is DOUBLE PRECISION array, dimension (LDH,N) > On input the initial N-by-N section of H stores the > Hessenberg matrix undergoing aggressive early deflation. > On output H has been transformed by an orthogonal > similarity transformation, perturbed, and the returned > to Hessenberg form that (it is to be hoped) has some > zero subdiagonal entries. > \endverbatim > > \param[in] LDH > \verbatim > LDH is integer > Leading dimension of H just as declared in the calling > subroutine. N .LE. LDH > \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 .LE. ILOZ .LE. IHIZ .LE. N. > \endverbatim > > \param[in,out] Z > \verbatim > Z is DOUBLE PRECISION array, dimension (LDZ,N) > IF WANTZ is .TRUE., then on output, the orthogonal > similarity transformation mentioned above has been > accumulated into Z(ILOZ:IHIZ,ILO:IHI) from the right. > If WANTZ is .FALSE., then Z is unreferenced. > \endverbatim > > \param[in] LDZ > \verbatim > LDZ is integer > The leading dimension of Z just as declared in the > calling subroutine. 1 .LE. LDZ. > \endverbatim > > \param[out] NS > \verbatim > NS is integer > The number of unconverged (ie approximate) eigenvalues > returned in SR and SI that may be used as shifts by the > calling subroutine. > \endverbatim > > \param[out] ND > \verbatim > ND is integer > The number of converged eigenvalues uncovered by this > subroutine. > \endverbatim > > \param[out] SR > \verbatim > SR is DOUBLE PRECISION array, dimension (KBOT) > \endverbatim > > \param[out] SI > \verbatim > SI is DOUBLE PRECISION array, dimension (KBOT) > On output, the real and imaginary parts of approximate > eigenvalues that may be used for shifts are stored in > SR(KBOT-ND-NS+1) through SR(KBOT-ND) and > SI(KBOT-ND-NS+1) through SI(KBOT-ND), respectively. > The real and imaginary parts of converged eigenvalues > are stored in SR(KBOT-ND+1) through SR(KBOT) and > SI(KBOT-ND+1) through SI(KBOT), respectively. > \endverbatim > > \param[out] V > \verbatim > V is DOUBLE PRECISION array, dimension (LDV,NW) > An NW-by-NW work array. > \endverbatim > > \param[in] LDV > \verbatim > LDV is integer scalar > The leading dimension of V just as declared in the > calling subroutine. NW .LE. LDV > \endverbatim > > \param[in] NH > \verbatim > NH is integer scalar > The number of columns of T. NH.GE.NW. > \endverbatim > > \param[out] T > \verbatim > T is DOUBLE PRECISION array, dimension (LDT,NW) > \endverbatim > > \param[in] LDT > \verbatim > LDT is integer > The leading dimension of T just as declared in the > calling subroutine. NW .LE. LDT > \endverbatim > > \param[in] NV > \verbatim > NV is integer > The number of rows of work array WV available for > workspace. NV.GE.NW. > \endverbatim > > \param[out] WV > \verbatim > WV is DOUBLE PRECISION array, dimension (LDWV,NW) > \endverbatim > > \param[in] LDWV > \verbatim > LDWV is integer > The leading dimension of W just as declared in the > calling subroutine. NW .LE. LDV > \endverbatim > > \param[out] WORK > \verbatim > WORK is DOUBLE PRECISION array, dimension (LWORK) > On exit, WORK(1) is set to an estimate of the optimal value > of LWORK for the given values of N, NW, KTOP and KBOT. > \endverbatim > > \param[in] LWORK > \verbatim > LWORK is integer > The dimension of the work array WORK. LWORK = 2*NW > suffices, but greater efficiency may result from larger > values of LWORK. > > If LWORK = -1, then a workspace query is assumed; DLAQR2 > only estimates the optimal workspace size for the given > values of N, NW, KTOP and KBOT. The estimate is returned > in WORK(1). No error message related to LWORK is issued > by XERBLA. Neither H nor Z are accessed. > \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 Contributors: ================== > > Karen Braman and Ralph Byers, Department of Mathematics, > University of Kansas, USA > ===================================================================== Subroutine */ int igraphdlaqr2_(logical *wantt, logical *wantz, integer *n, integer *ktop, integer *kbot, integer *nw, doublereal *h__, integer * ldh, integer *iloz, integer *ihiz, doublereal *z__, integer *ldz, integer *ns, integer *nd, doublereal *sr, doublereal *si, doublereal * v, integer *ldv, integer *nh, doublereal *t, integer *ldt, integer * nv, doublereal *wv, integer *ldwv, doublereal *work, integer *lwork) { /* System generated locals */ integer h_dim1, h_offset, t_dim1, t_offset, v_dim1, v_offset, wv_dim1, wv_offset, z_dim1, z_offset, i__1, i__2, i__3, i__4; doublereal d__1, d__2, d__3, d__4, d__5, d__6; /* Builtin functions */ double sqrt(doublereal); /* Local variables */ integer i__, j, k; doublereal s, aa, bb, cc, dd, cs, sn; integer jw; doublereal evi, evk, foo; integer kln; doublereal tau, ulp; integer lwk1, lwk2; doublereal beta; integer kend, kcol, info, ifst, ilst, ltop, krow; extern /* Subroutine */ int igraphdlarf_(char *, integer *, integer *, doublereal *, integer *, doublereal *, doublereal *, integer *, doublereal *), igraphdgemm_(char *, char *, integer *, integer * , integer *, doublereal *, doublereal *, integer *, doublereal *, integer *, doublereal *, doublereal *, integer *); logical bulge; extern /* Subroutine */ int igraphdcopy_(integer *, doublereal *, integer *, doublereal *, integer *); integer infqr, kwtop; extern /* Subroutine */ int igraphdlanv2_(doublereal *, doublereal *, doublereal *, doublereal *, doublereal *, doublereal *, doublereal *, doublereal *, doublereal *, doublereal *), igraphdlabad_( doublereal *, doublereal *); extern doublereal igraphdlamch_(char *); extern /* Subroutine */ int igraphdgehrd_(integer *, integer *, integer *, doublereal *, integer *, doublereal *, doublereal *, integer *, integer *), igraphdlarfg_(integer *, doublereal *, doublereal *, integer *, doublereal *), igraphdlahqr_(logical *, logical *, integer *, integer *, integer *, doublereal *, integer *, doublereal *, doublereal *, integer *, integer *, doublereal *, integer *, integer *), igraphdlacpy_(char *, integer *, integer *, doublereal *, integer *, doublereal *, integer *); doublereal safmin; extern /* Subroutine */ int igraphdlaset_(char *, integer *, integer *, doublereal *, doublereal *, doublereal *, integer *); doublereal safmax; extern /* Subroutine */ int igraphdtrexc_(char *, integer *, doublereal *, integer *, doublereal *, integer *, integer *, integer *, doublereal *, integer *), igraphdormhr_(char *, char *, integer *, integer *, integer *, integer *, doublereal *, integer *, doublereal *, doublereal *, integer *, doublereal *, integer *, integer *); logical sorted; doublereal smlnum; integer lwkopt; /* -- 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 ================================================================ ==== Estimate optimal workspace. ==== Parameter adjustments */ h_dim1 = *ldh; h_offset = 1 + h_dim1; h__ -= h_offset; z_dim1 = *ldz; z_offset = 1 + z_dim1; z__ -= z_offset; --sr; --si; v_dim1 = *ldv; v_offset = 1 + v_dim1; v -= v_offset; t_dim1 = *ldt; t_offset = 1 + t_dim1; t -= t_offset; wv_dim1 = *ldwv; wv_offset = 1 + wv_dim1; wv -= wv_offset; --work; /* Function Body Computing MIN */ i__1 = *nw, i__2 = *kbot - *ktop + 1; jw = min(i__1,i__2); if (jw <= 2) { lwkopt = 1; } else { /* ==== Workspace query call to DGEHRD ==== */ i__1 = jw - 1; igraphdgehrd_(&jw, &c__1, &i__1, &t[t_offset], ldt, &work[1], &work[1], & c_n1, &info); lwk1 = (integer) work[1]; /* ==== Workspace query call to DORMHR ==== */ i__1 = jw - 1; igraphdormhr_("R", "N", &jw, &jw, &c__1, &i__1, &t[t_offset], ldt, &work[1], &v[v_offset], ldv, &work[1], &c_n1, &info); lwk2 = (integer) work[1]; /* ==== Optimal workspace ==== */ lwkopt = jw + max(lwk1,lwk2); } /* ==== Quick return in case of workspace query. ==== */ if (*lwork == -1) { work[1] = (doublereal) lwkopt; return 0; } /* ==== Nothing to do ... ... for an empty active block ... ==== */ *ns = 0; *nd = 0; work[1] = 1.; if (*ktop > *kbot) { return 0; } /* ... nor for an empty deflation window. ==== */ if (*nw < 1) { return 0; } /* ==== Machine constants ==== */ safmin = igraphdlamch_("SAFE MINIMUM"); safmax = 1. / safmin; igraphdlabad_(&safmin, &safmax); ulp = igraphdlamch_("PRECISION"); smlnum = safmin * ((doublereal) (*n) / ulp); /* ==== Setup deflation window ==== Computing MIN */ i__1 = *nw, i__2 = *kbot - *ktop + 1; jw = min(i__1,i__2); kwtop = *kbot - jw + 1; if (kwtop == *ktop) { s = 0.; } else { s = h__[kwtop + (kwtop - 1) * h_dim1]; } if (*kbot == kwtop) { /* ==== 1-by-1 deflation window: not much to do ==== */ sr[kwtop] = h__[kwtop + kwtop * h_dim1]; si[kwtop] = 0.; *ns = 1; *nd = 0; /* Computing MAX */ d__2 = smlnum, d__3 = ulp * (d__1 = h__[kwtop + kwtop * h_dim1], abs( d__1)); if (abs(s) <= max(d__2,d__3)) { *ns = 0; *nd = 1; if (kwtop > *ktop) { h__[kwtop + (kwtop - 1) * h_dim1] = 0.; } } work[1] = 1.; return 0; } /* ==== Convert to spike-triangular form. (In case of a . rare QR failure, this routine continues to do . aggressive early deflation using that part of . the deflation window that converged using INFQR . here and there to keep track.) ==== */ igraphdlacpy_("U", &jw, &jw, &h__[kwtop + kwtop * h_dim1], ldh, &t[t_offset], ldt); i__1 = jw - 1; i__2 = *ldh + 1; i__3 = *ldt + 1; igraphdcopy_(&i__1, &h__[kwtop + 1 + kwtop * h_dim1], &i__2, &t[t_dim1 + 2], & i__3); igraphdlaset_("A", &jw, &jw, &c_b12, &c_b13, &v[v_offset], ldv); igraphdlahqr_(&c_true, &c_true, &jw, &c__1, &jw, &t[t_offset], ldt, &sr[kwtop], &si[kwtop], &c__1, &jw, &v[v_offset], ldv, &infqr); /* ==== DTREXC needs a clean margin near the diagonal ==== */ i__1 = jw - 3; for (j = 1; j <= i__1; ++j) { t[j + 2 + j * t_dim1] = 0.; t[j + 3 + j * t_dim1] = 0.; /* L10: */ } if (jw > 2) { t[jw + (jw - 2) * t_dim1] = 0.; } /* ==== Deflation detection loop ==== */ *ns = jw; ilst = infqr + 1; L20: if (ilst <= *ns) { if (*ns == 1) { bulge = FALSE_; } else { bulge = t[*ns + (*ns - 1) * t_dim1] != 0.; } /* ==== Small spike tip test for deflation ==== */ if (! bulge) { /* ==== Real eigenvalue ==== */ foo = (d__1 = t[*ns + *ns * t_dim1], abs(d__1)); if (foo == 0.) { foo = abs(s); } /* Computing MAX */ d__2 = smlnum, d__3 = ulp * foo; if ((d__1 = s * v[*ns * v_dim1 + 1], abs(d__1)) <= max(d__2,d__3)) { /* ==== Deflatable ==== */ --(*ns); } else { /* ==== Undeflatable. Move it up out of the way. . (DTREXC can not fail in this case.) ==== */ ifst = *ns; igraphdtrexc_("V", &jw, &t[t_offset], ldt, &v[v_offset], ldv, &ifst, &ilst, &work[1], &info); ++ilst; } } else { /* ==== Complex conjugate pair ==== */ foo = (d__3 = t[*ns + *ns * t_dim1], abs(d__3)) + sqrt((d__1 = t[* ns + (*ns - 1) * t_dim1], abs(d__1))) * sqrt((d__2 = t[* ns - 1 + *ns * t_dim1], abs(d__2))); if (foo == 0.) { foo = abs(s); } /* Computing MAX */ d__3 = (d__1 = s * v[*ns * v_dim1 + 1], abs(d__1)), d__4 = (d__2 = s * v[(*ns - 1) * v_dim1 + 1], abs(d__2)); /* Computing MAX */ d__5 = smlnum, d__6 = ulp * foo; if (max(d__3,d__4) <= max(d__5,d__6)) { /* ==== Deflatable ==== */ *ns += -2; } else { /* ==== Undeflatable. Move them up out of the way. . Fortunately, DTREXC does the right thing with . ILST in case of a rare exchange failure. ==== */ ifst = *ns; igraphdtrexc_("V", &jw, &t[t_offset], ldt, &v[v_offset], ldv, &ifst, &ilst, &work[1], &info); ilst += 2; } } /* ==== End deflation detection loop ==== */ goto L20; } /* ==== Return to Hessenberg form ==== */ if (*ns == 0) { s = 0.; } if (*ns < jw) { /* ==== sorting diagonal blocks of T improves accuracy for . graded matrices. Bubble sort deals well with . exchange failures. ==== */ sorted = FALSE_; i__ = *ns + 1; L30: if (sorted) { goto L50; } sorted = TRUE_; kend = i__ - 1; i__ = infqr + 1; if (i__ == *ns) { k = i__ + 1; } else if (t[i__ + 1 + i__ * t_dim1] == 0.) { k = i__ + 1; } else { k = i__ + 2; } L40: if (k <= kend) { if (k == i__ + 1) { evi = (d__1 = t[i__ + i__ * t_dim1], abs(d__1)); } else { evi = (d__3 = t[i__ + i__ * t_dim1], abs(d__3)) + sqrt((d__1 = t[i__ + 1 + i__ * t_dim1], abs(d__1))) * sqrt((d__2 = t[i__ + (i__ + 1) * t_dim1], abs(d__2))); } if (k == kend) { evk = (d__1 = t[k + k * t_dim1], abs(d__1)); } else if (t[k + 1 + k * t_dim1] == 0.) { evk = (d__1 = t[k + k * t_dim1], abs(d__1)); } else { evk = (d__3 = t[k + k * t_dim1], abs(d__3)) + sqrt((d__1 = t[ k + 1 + k * t_dim1], abs(d__1))) * sqrt((d__2 = t[k + (k + 1) * t_dim1], abs(d__2))); } if (evi >= evk) { i__ = k; } else { sorted = FALSE_; ifst = i__; ilst = k; igraphdtrexc_("V", &jw, &t[t_offset], ldt, &v[v_offset], ldv, &ifst, &ilst, &work[1], &info); if (info == 0) { i__ = ilst; } else { i__ = k; } } if (i__ == kend) { k = i__ + 1; } else if (t[i__ + 1 + i__ * t_dim1] == 0.) { k = i__ + 1; } else { k = i__ + 2; } goto L40; } goto L30; L50: ; } /* ==== Restore shift/eigenvalue array from T ==== */ i__ = jw; L60: if (i__ >= infqr + 1) { if (i__ == infqr + 1) { sr[kwtop + i__ - 1] = t[i__ + i__ * t_dim1]; si[kwtop + i__ - 1] = 0.; --i__; } else if (t[i__ + (i__ - 1) * t_dim1] == 0.) { sr[kwtop + i__ - 1] = t[i__ + i__ * t_dim1]; si[kwtop + i__ - 1] = 0.; --i__; } else { aa = t[i__ - 1 + (i__ - 1) * t_dim1]; cc = t[i__ + (i__ - 1) * t_dim1]; bb = t[i__ - 1 + i__ * t_dim1]; dd = t[i__ + i__ * t_dim1]; igraphdlanv2_(&aa, &bb, &cc, &dd, &sr[kwtop + i__ - 2], &si[kwtop + i__ - 2], &sr[kwtop + i__ - 1], &si[kwtop + i__ - 1], &cs, & sn); i__ += -2; } goto L60; } if (*ns < jw || s == 0.) { if (*ns > 1 && s != 0.) { /* ==== Reflect spike back into lower triangle ==== */ igraphdcopy_(ns, &v[v_offset], ldv, &work[1], &c__1); beta = work[1]; igraphdlarfg_(ns, &beta, &work[2], &c__1, &tau); work[1] = 1.; i__1 = jw - 2; i__2 = jw - 2; igraphdlaset_("L", &i__1, &i__2, &c_b12, &c_b12, &t[t_dim1 + 3], ldt); igraphdlarf_("L", ns, &jw, &work[1], &c__1, &tau, &t[t_offset], ldt, & work[jw + 1]); igraphdlarf_("R", ns, ns, &work[1], &c__1, &tau, &t[t_offset], ldt, & work[jw + 1]); igraphdlarf_("R", &jw, ns, &work[1], &c__1, &tau, &v[v_offset], ldv, & work[jw + 1]); i__1 = *lwork - jw; igraphdgehrd_(&jw, &c__1, ns, &t[t_offset], ldt, &work[1], &work[jw + 1] , &i__1, &info); } /* ==== Copy updated reduced window into place ==== */ if (kwtop > 1) { h__[kwtop + (kwtop - 1) * h_dim1] = s * v[v_dim1 + 1]; } igraphdlacpy_("U", &jw, &jw, &t[t_offset], ldt, &h__[kwtop + kwtop * h_dim1] , ldh); i__1 = jw - 1; i__2 = *ldt + 1; i__3 = *ldh + 1; igraphdcopy_(&i__1, &t[t_dim1 + 2], &i__2, &h__[kwtop + 1 + kwtop * h_dim1], &i__3); /* ==== Accumulate orthogonal matrix in order update . H and Z, if requested. ==== */ if (*ns > 1 && s != 0.) { i__1 = *lwork - jw; igraphdormhr_("R", "N", &jw, ns, &c__1, ns, &t[t_offset], ldt, &work[1], &v[v_offset], ldv, &work[jw + 1], &i__1, &info); } /* ==== Update vertical slab in H ==== */ if (*wantt) { ltop = 1; } else { ltop = *ktop; } i__1 = kwtop - 1; i__2 = *nv; for (krow = ltop; i__2 < 0 ? krow >= i__1 : krow <= i__1; krow += i__2) { /* Computing MIN */ i__3 = *nv, i__4 = kwtop - krow; kln = min(i__3,i__4); igraphdgemm_("N", "N", &kln, &jw, &jw, &c_b13, &h__[krow + kwtop * h_dim1], ldh, &v[v_offset], ldv, &c_b12, &wv[wv_offset], ldwv); igraphdlacpy_("A", &kln, &jw, &wv[wv_offset], ldwv, &h__[krow + kwtop * h_dim1], ldh); /* L70: */ } /* ==== Update horizontal slab in H ==== */ if (*wantt) { i__2 = *n; i__1 = *nh; for (kcol = *kbot + 1; i__1 < 0 ? kcol >= i__2 : kcol <= i__2; kcol += i__1) { /* Computing MIN */ i__3 = *nh, i__4 = *n - kcol + 1; kln = min(i__3,i__4); igraphdgemm_("C", "N", &jw, &kln, &jw, &c_b13, &v[v_offset], ldv, & h__[kwtop + kcol * h_dim1], ldh, &c_b12, &t[t_offset], ldt); igraphdlacpy_("A", &jw, &kln, &t[t_offset], ldt, &h__[kwtop + kcol * h_dim1], ldh); /* L80: */ } } /* ==== Update vertical slab in Z ==== */ if (*wantz) { i__1 = *ihiz; i__2 = *nv; for (krow = *iloz; i__2 < 0 ? krow >= i__1 : krow <= i__1; krow += i__2) { /* Computing MIN */ i__3 = *nv, i__4 = *ihiz - krow + 1; kln = min(i__3,i__4); igraphdgemm_("N", "N", &kln, &jw, &jw, &c_b13, &z__[krow + kwtop * z_dim1], ldz, &v[v_offset], ldv, &c_b12, &wv[ wv_offset], ldwv); igraphdlacpy_("A", &kln, &jw, &wv[wv_offset], ldwv, &z__[krow + kwtop * z_dim1], ldz); /* L90: */ } } } /* ==== Return the number of deflations ... ==== */ *nd = jw - *ns; /* ==== ... and the number of shifts. (Subtracting . INFQR from the spike length takes care . of the case of a rare QR failure while . calculating eigenvalues of the deflation . window.) ==== */ *ns -= infqr; /* ==== Return optimal workspace. ==== */ work[1] = (doublereal) lwkopt; /* ==== End of DLAQR2 ==== */ return 0; } /* igraphdlaqr2_ */