#include "f2c.h" #include "blaswrap.h" /* Table of constant values */ static complex c_b1 = {0.f,0.f}; static complex c_b2 = {1.f,0.f}; static integer c__1 = 1; static integer c_n1 = -1; static real c_b29 = 1.f; /* Subroutine */ int cgegv_(char *jobvl, char *jobvr, integer *n, complex *a, integer *lda, complex *b, integer *ldb, complex *alpha, complex *beta, complex *vl, integer *ldvl, complex *vr, integer *ldvr, complex * work, integer *lwork, real *rwork, integer *info) { /* System generated locals */ integer a_dim1, a_offset, b_dim1, b_offset, vl_dim1, vl_offset, vr_dim1, vr_offset, i__1, i__2, i__3, i__4; real r__1, r__2, r__3, r__4; complex q__1, q__2; /* Builtin functions */ double r_imag(complex *); /* Local variables */ integer jc, nb, in, jr, nb1, nb2, nb3, ihi, ilo; real eps; logical ilv; real absb, anrm, bnrm; integer itau; real temp; logical ilvl, ilvr; integer lopt; real anrm1, anrm2, bnrm1, bnrm2, absai, scale, absar, sbeta; extern logical lsame_(char *, char *); integer ileft, iinfo, icols, iwork, irows; extern /* Subroutine */ int cggbak_(char *, char *, integer *, integer *, integer *, real *, real *, integer *, complex *, integer *, integer *), cggbal_(char *, integer *, complex *, integer *, complex *, integer *, integer *, integer *, real *, real *, real *, integer *); extern doublereal clange_(char *, integer *, integer *, complex *, integer *, real *); extern /* Subroutine */ int cgghrd_(char *, char *, integer *, integer *, integer *, complex *, integer *, complex *, integer *, complex *, integer *, complex *, integer *, integer *); real salfai; extern /* Subroutine */ int clascl_(char *, integer *, integer *, real *, real *, integer *, integer *, complex *, integer *, integer *), cgeqrf_(integer *, integer *, complex *, integer *, complex *, complex *, integer *, integer *); real salfar; extern doublereal slamch_(char *); extern /* Subroutine */ int clacpy_(char *, integer *, integer *, complex *, integer *, complex *, integer *), claset_(char *, integer *, integer *, complex *, complex *, complex *, integer *); real safmin; extern /* Subroutine */ int ctgevc_(char *, char *, logical *, integer *, complex *, integer *, complex *, integer *, complex *, integer *, complex *, integer *, integer *, integer *, complex *, real *, integer *); real safmax; char chtemp[1]; logical ldumma[1]; extern /* Subroutine */ int chgeqz_(char *, char *, char *, integer *, integer *, integer *, complex *, integer *, complex *, integer *, complex *, complex *, complex *, integer *, complex *, integer *, complex *, integer *, real *, integer *), xerbla_(char *, integer *); extern integer ilaenv_(integer *, char *, char *, integer *, integer *, integer *, integer *); integer ijobvl, iright; logical ilimit; integer ijobvr; extern /* Subroutine */ int cungqr_(integer *, integer *, integer *, complex *, integer *, complex *, complex *, integer *, integer *); integer lwkmin; extern /* Subroutine */ int cunmqr_(char *, char *, integer *, integer *, integer *, complex *, integer *, complex *, complex *, integer *, complex *, integer *, integer *); integer irwork, lwkopt; logical lquery; /* -- LAPACK driver routine (version 3.1) -- */ /* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */ /* November 2006 */ /* .. Scalar Arguments .. */ /* .. */ /* .. Array Arguments .. */ /* .. */ /* Purpose */ /* ======= */ /* This routine is deprecated and has been replaced by routine CGGEV. */ /* CGEGV computes the eigenvalues and, optionally, the left and/or right */ /* eigenvectors of a complex matrix pair (A,B). */ /* Given two square matrices A and B, */ /* the generalized nonsymmetric eigenvalue problem (GNEP) is to find the */ /* eigenvalues lambda and corresponding (non-zero) eigenvectors x such */ /* that */ /* A*x = lambda*B*x. */ /* An alternate form is to find the eigenvalues mu and corresponding */ /* eigenvectors y such that */ /* mu*A*y = B*y. */ /* These two forms are equivalent with mu = 1/lambda and x = y if */ /* neither lambda nor mu is zero. In order to deal with the case that */ /* lambda or mu is zero or small, two values alpha and beta are returned */ /* for each eigenvalue, such that lambda = alpha/beta and */ /* mu = beta/alpha. */ /* The vectors x and y in the above equations are right eigenvectors of */ /* the matrix pair (A,B). Vectors u and v satisfying */ /* u**H*A = lambda*u**H*B or mu*v**H*A = v**H*B */ /* are left eigenvectors of (A,B). */ /* Note: this routine performs "full balancing" on A and B -- see */ /* "Further Details", below. */ /* Arguments */ /* ========= */ /* JOBVL (input) CHARACTER*1 */ /* = 'N': do not compute the left generalized eigenvectors; */ /* = 'V': compute the left generalized eigenvectors (returned */ /* in VL). */ /* JOBVR (input) CHARACTER*1 */ /* = 'N': do not compute the right generalized eigenvectors; */ /* = 'V': compute the right generalized eigenvectors (returned */ /* in VR). */ /* N (input) INTEGER */ /* The order of the matrices A, B, VL, and VR. N >= 0. */ /* A (input/output) COMPLEX array, dimension (LDA, N) */ /* On entry, the matrix A. */ /* If JOBVL = 'V' or JOBVR = 'V', then on exit A */ /* contains the Schur form of A from the generalized Schur */ /* factorization of the pair (A,B) after balancing. If no */ /* eigenvectors were computed, then only the diagonal elements */ /* of the Schur form will be correct. See CGGHRD and CHGEQZ */ /* for details. */ /* LDA (input) INTEGER */ /* The leading dimension of A. LDA >= max(1,N). */ /* B (input/output) COMPLEX array, dimension (LDB, N) */ /* On entry, the matrix B. */ /* If JOBVL = 'V' or JOBVR = 'V', then on exit B contains the */ /* upper triangular matrix obtained from B in the generalized */ /* Schur factorization of the pair (A,B) after balancing. */ /* If no eigenvectors were computed, then only the diagonal */ /* elements of B will be correct. See CGGHRD and CHGEQZ for */ /* details. */ /* LDB (input) INTEGER */ /* The leading dimension of B. LDB >= max(1,N). */ /* ALPHA (output) COMPLEX array, dimension (N) */ /* The complex scalars alpha that define the eigenvalues of */ /* GNEP. */ /* BETA (output) COMPLEX array, dimension (N) */ /* The complex scalars beta that define the eigenvalues of GNEP. */ /* Together, the quantities alpha = ALPHA(j) and beta = BETA(j) */ /* represent the j-th eigenvalue of the matrix pair (A,B), in */ /* one of the forms lambda = alpha/beta or mu = beta/alpha. */ /* Since either lambda or mu may overflow, they should not, */ /* in general, be computed. */ /* VL (output) COMPLEX array, dimension (LDVL,N) */ /* If JOBVL = 'V', the left eigenvectors u(j) are stored */ /* in the columns of VL, in the same order as their eigenvalues. */ /* Each eigenvector is scaled so that its largest component has */ /* abs(real part) + abs(imag. part) = 1, except for eigenvectors */ /* corresponding to an eigenvalue with alpha = beta = 0, which */ /* are set to zero. */ /* Not referenced if JOBVL = 'N'. */ /* LDVL (input) INTEGER */ /* The leading dimension of the matrix VL. LDVL >= 1, and */ /* if JOBVL = 'V', LDVL >= N. */ /* VR (output) COMPLEX array, dimension (LDVR,N) */ /* If JOBVR = 'V', the right eigenvectors x(j) are stored */ /* in the columns of VR, in the same order as their eigenvalues. */ /* Each eigenvector is scaled so that its largest component has */ /* abs(real part) + abs(imag. part) = 1, except for eigenvectors */ /* corresponding to an eigenvalue with alpha = beta = 0, which */ /* are set to zero. */ /* Not referenced if JOBVR = 'N'. */ /* LDVR (input) INTEGER */ /* The leading dimension of the matrix VR. LDVR >= 1, and */ /* if JOBVR = 'V', LDVR >= N. */ /* WORK (workspace/output) COMPLEX 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. LWORK >= max(1,2*N). */ /* For good performance, LWORK must generally be larger. */ /* To compute the optimal value of LWORK, call ILAENV to get */ /* blocksizes (for CGEQRF, CUNMQR, and CUNGQR.) Then compute: */ /* NB -- MAX of the blocksizes for CGEQRF, CUNMQR, and CUNGQR; */ /* The optimal LWORK is MAX( 2*N, N*(NB+1) ). */ /* 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. */ /* RWORK (workspace/output) REAL array, dimension (8*N) */ /* INFO (output) INTEGER */ /* = 0: successful exit */ /* < 0: if INFO = -i, the i-th argument had an illegal value. */ /* =1,...,N: */ /* The QZ iteration failed. No eigenvectors have been */ /* calculated, but ALPHA(j) and BETA(j) should be */ /* correct for j=INFO+1,...,N. */ /* > N: errors that usually indicate LAPACK problems: */ /* =N+1: error return from CGGBAL */ /* =N+2: error return from CGEQRF */ /* =N+3: error return from CUNMQR */ /* =N+4: error return from CUNGQR */ /* =N+5: error return from CGGHRD */ /* =N+6: error return from CHGEQZ (other than failed */ /* iteration) */ /* =N+7: error return from CTGEVC */ /* =N+8: error return from CGGBAK (computing VL) */ /* =N+9: error return from CGGBAK (computing VR) */ /* =N+10: error return from CLASCL (various calls) */ /* Further Details */ /* =============== */ /* Balancing */ /* --------- */ /* This driver calls CGGBAL to both permute and scale rows and columns */ /* of A and B. The permutations PL and PR are chosen so that PL*A*PR */ /* and PL*B*R will be upper triangular except for the diagonal blocks */ /* A(i:j,i:j) and B(i:j,i:j), with i and j as close together as */ /* possible. The diagonal scaling matrices DL and DR are chosen so */ /* that the pair DL*PL*A*PR*DR, DL*PL*B*PR*DR have elements close to */ /* one (except for the elements that start out zero.) */ /* After the eigenvalues and eigenvectors of the balanced matrices */ /* have been computed, CGGBAK transforms the eigenvectors back to what */ /* they would have been (in perfect arithmetic) if they had not been */ /* balanced. */ /* Contents of A and B on Exit */ /* -------- -- - --- - -- ---- */ /* If any eigenvectors are computed (either JOBVL='V' or JOBVR='V' or */ /* both), then on exit the arrays A and B will contain the complex Schur */ /* form[*] of the "balanced" versions of A and B. If no eigenvectors */ /* are computed, then only the diagonal blocks will be correct. */ /* [*] In other words, upper triangular form. */ /* ===================================================================== */ /* .. Parameters .. */ /* .. */ /* .. Local Scalars .. */ /* .. */ /* .. Local Arrays .. */ /* .. */ /* .. External Subroutines .. */ /* .. */ /* .. External Functions .. */ /* .. */ /* .. Intrinsic Functions .. */ /* .. */ /* .. Statement Functions .. */ /* .. */ /* .. Statement Function definitions .. */ /* .. */ /* .. Executable Statements .. */ /* Decode the input arguments */ /* Parameter adjustments */ a_dim1 = *lda; a_offset = 1 + a_dim1; a -= a_offset; b_dim1 = *ldb; b_offset = 1 + b_dim1; b -= b_offset; --alpha; --beta; vl_dim1 = *ldvl; vl_offset = 1 + vl_dim1; vl -= vl_offset; vr_dim1 = *ldvr; vr_offset = 1 + vr_dim1; vr -= vr_offset; --work; --rwork; /* Function Body */ if (lsame_(jobvl, "N")) { ijobvl = 1; ilvl = FALSE_; } else if (lsame_(jobvl, "V")) { ijobvl = 2; ilvl = TRUE_; } else { ijobvl = -1; ilvl = FALSE_; } if (lsame_(jobvr, "N")) { ijobvr = 1; ilvr = FALSE_; } else if (lsame_(jobvr, "V")) { ijobvr = 2; ilvr = TRUE_; } else { ijobvr = -1; ilvr = FALSE_; } ilv = ilvl || ilvr; /* Test the input arguments */ /* Computing MAX */ i__1 = *n << 1; lwkmin = max(i__1,1); lwkopt = lwkmin; work[1].r = (real) lwkopt, work[1].i = 0.f; lquery = *lwork == -1; *info = 0; if (ijobvl <= 0) { *info = -1; } else if (ijobvr <= 0) { *info = -2; } else if (*n < 0) { *info = -3; } else if (*lda < max(1,*n)) { *info = -5; } else if (*ldb < max(1,*n)) { *info = -7; } else if (*ldvl < 1 || ilvl && *ldvl < *n) { *info = -11; } else if (*ldvr < 1 || ilvr && *ldvr < *n) { *info = -13; } else if (*lwork < lwkmin && ! lquery) { *info = -15; } if (*info == 0) { nb1 = ilaenv_(&c__1, "CGEQRF", " ", n, n, &c_n1, &c_n1); nb2 = ilaenv_(&c__1, "CUNMQR", " ", n, n, n, &c_n1); nb3 = ilaenv_(&c__1, "CUNGQR", " ", n, n, n, &c_n1); /* Computing MAX */ i__1 = max(nb1,nb2); nb = max(i__1,nb3); /* Computing MAX */ i__1 = *n << 1, i__2 = *n * (nb + 1); lopt = max(i__1,i__2); work[1].r = (real) lopt, work[1].i = 0.f; } if (*info != 0) { i__1 = -(*info); xerbla_("CGEGV ", &i__1); return 0; } else if (lquery) { return 0; } /* Quick return if possible */ if (*n == 0) { return 0; } /* Get machine constants */ eps = slamch_("E") * slamch_("B"); safmin = slamch_("S"); safmin += safmin; safmax = 1.f / safmin; /* Scale A */ anrm = clange_("M", n, n, &a[a_offset], lda, &rwork[1]); anrm1 = anrm; anrm2 = 1.f; if (anrm < 1.f) { if (safmax * anrm < 1.f) { anrm1 = safmin; anrm2 = safmax * anrm; } } if (anrm > 0.f) { clascl_("G", &c_n1, &c_n1, &anrm, &c_b29, n, n, &a[a_offset], lda, & iinfo); if (iinfo != 0) { *info = *n + 10; return 0; } } /* Scale B */ bnrm = clange_("M", n, n, &b[b_offset], ldb, &rwork[1]); bnrm1 = bnrm; bnrm2 = 1.f; if (bnrm < 1.f) { if (safmax * bnrm < 1.f) { bnrm1 = safmin; bnrm2 = safmax * bnrm; } } if (bnrm > 0.f) { clascl_("G", &c_n1, &c_n1, &bnrm, &c_b29, n, n, &b[b_offset], ldb, & iinfo); if (iinfo != 0) { *info = *n + 10; return 0; } } /* Permute the matrix to make it more nearly triangular */ /* Also "balance" the matrix. */ ileft = 1; iright = *n + 1; irwork = iright + *n; cggbal_("P", n, &a[a_offset], lda, &b[b_offset], ldb, &ilo, &ihi, &rwork[ ileft], &rwork[iright], &rwork[irwork], &iinfo); if (iinfo != 0) { *info = *n + 1; goto L80; } /* Reduce B to triangular form, and initialize VL and/or VR */ irows = ihi + 1 - ilo; if (ilv) { icols = *n + 1 - ilo; } else { icols = irows; } itau = 1; iwork = itau + irows; i__1 = *lwork + 1 - iwork; cgeqrf_(&irows, &icols, &b[ilo + ilo * b_dim1], ldb, &work[itau], &work[ iwork], &i__1, &iinfo); if (iinfo >= 0) { /* Computing MAX */ i__3 = iwork; i__1 = lwkopt, i__2 = (integer) work[i__3].r + iwork - 1; lwkopt = max(i__1,i__2); } if (iinfo != 0) { *info = *n + 2; goto L80; } i__1 = *lwork + 1 - iwork; cunmqr_("L", "C", &irows, &icols, &irows, &b[ilo + ilo * b_dim1], ldb, & work[itau], &a[ilo + ilo * a_dim1], lda, &work[iwork], &i__1, & iinfo); if (iinfo >= 0) { /* Computing MAX */ i__3 = iwork; i__1 = lwkopt, i__2 = (integer) work[i__3].r + iwork - 1; lwkopt = max(i__1,i__2); } if (iinfo != 0) { *info = *n + 3; goto L80; } if (ilvl) { claset_("Full", n, n, &c_b1, &c_b2, &vl[vl_offset], ldvl); i__1 = irows - 1; i__2 = irows - 1; clacpy_("L", &i__1, &i__2, &b[ilo + 1 + ilo * b_dim1], ldb, &vl[ilo + 1 + ilo * vl_dim1], ldvl); i__1 = *lwork + 1 - iwork; cungqr_(&irows, &irows, &irows, &vl[ilo + ilo * vl_dim1], ldvl, &work[ itau], &work[iwork], &i__1, &iinfo); if (iinfo >= 0) { /* Computing MAX */ i__3 = iwork; i__1 = lwkopt, i__2 = (integer) work[i__3].r + iwork - 1; lwkopt = max(i__1,i__2); } if (iinfo != 0) { *info = *n + 4; goto L80; } } if (ilvr) { claset_("Full", n, n, &c_b1, &c_b2, &vr[vr_offset], ldvr); } /* Reduce to generalized Hessenberg form */ if (ilv) { /* Eigenvectors requested -- work on whole matrix. */ cgghrd_(jobvl, jobvr, n, &ilo, &ihi, &a[a_offset], lda, &b[b_offset], ldb, &vl[vl_offset], ldvl, &vr[vr_offset], ldvr, &iinfo); } else { cgghrd_("N", "N", &irows, &c__1, &irows, &a[ilo + ilo * a_dim1], lda, &b[ilo + ilo * b_dim1], ldb, &vl[vl_offset], ldvl, &vr[ vr_offset], ldvr, &iinfo); } if (iinfo != 0) { *info = *n + 5; goto L80; } /* Perform QZ algorithm */ iwork = itau; if (ilv) { *(unsigned char *)chtemp = 'S'; } else { *(unsigned char *)chtemp = 'E'; } i__1 = *lwork + 1 - iwork; chgeqz_(chtemp, jobvl, jobvr, n, &ilo, &ihi, &a[a_offset], lda, &b[ b_offset], ldb, &alpha[1], &beta[1], &vl[vl_offset], ldvl, &vr[ vr_offset], ldvr, &work[iwork], &i__1, &rwork[irwork], &iinfo); if (iinfo >= 0) { /* Computing MAX */ i__3 = iwork; i__1 = lwkopt, i__2 = (integer) work[i__3].r + iwork - 1; lwkopt = max(i__1,i__2); } if (iinfo != 0) { if (iinfo > 0 && iinfo <= *n) { *info = iinfo; } else if (iinfo > *n && iinfo <= *n << 1) { *info = iinfo - *n; } else { *info = *n + 6; } goto L80; } if (ilv) { /* Compute Eigenvectors */ if (ilvl) { if (ilvr) { *(unsigned char *)chtemp = 'B'; } else { *(unsigned char *)chtemp = 'L'; } } else { *(unsigned char *)chtemp = 'R'; } ctgevc_(chtemp, "B", ldumma, n, &a[a_offset], lda, &b[b_offset], ldb, &vl[vl_offset], ldvl, &vr[vr_offset], ldvr, n, &in, &work[ iwork], &rwork[irwork], &iinfo); if (iinfo != 0) { *info = *n + 7; goto L80; } /* Undo balancing on VL and VR, rescale */ if (ilvl) { cggbak_("P", "L", n, &ilo, &ihi, &rwork[ileft], &rwork[iright], n, &vl[vl_offset], ldvl, &iinfo); if (iinfo != 0) { *info = *n + 8; goto L80; } i__1 = *n; for (jc = 1; jc <= i__1; ++jc) { temp = 0.f; i__2 = *n; for (jr = 1; jr <= i__2; ++jr) { /* Computing MAX */ i__3 = jr + jc * vl_dim1; r__3 = temp, r__4 = (r__1 = vl[i__3].r, dabs(r__1)) + ( r__2 = r_imag(&vl[jr + jc * vl_dim1]), dabs(r__2)) ; temp = dmax(r__3,r__4); /* L10: */ } if (temp < safmin) { goto L30; } temp = 1.f / temp; i__2 = *n; for (jr = 1; jr <= i__2; ++jr) { i__3 = jr + jc * vl_dim1; i__4 = jr + jc * vl_dim1; q__1.r = temp * vl[i__4].r, q__1.i = temp * vl[i__4].i; vl[i__3].r = q__1.r, vl[i__3].i = q__1.i; /* L20: */ } L30: ; } } if (ilvr) { cggbak_("P", "R", n, &ilo, &ihi, &rwork[ileft], &rwork[iright], n, &vr[vr_offset], ldvr, &iinfo); if (iinfo != 0) { *info = *n + 9; goto L80; } i__1 = *n; for (jc = 1; jc <= i__1; ++jc) { temp = 0.f; i__2 = *n; for (jr = 1; jr <= i__2; ++jr) { /* Computing MAX */ i__3 = jr + jc * vr_dim1; r__3 = temp, r__4 = (r__1 = vr[i__3].r, dabs(r__1)) + ( r__2 = r_imag(&vr[jr + jc * vr_dim1]), dabs(r__2)) ; temp = dmax(r__3,r__4); /* L40: */ } if (temp < safmin) { goto L60; } temp = 1.f / temp; i__2 = *n; for (jr = 1; jr <= i__2; ++jr) { i__3 = jr + jc * vr_dim1; i__4 = jr + jc * vr_dim1; q__1.r = temp * vr[i__4].r, q__1.i = temp * vr[i__4].i; vr[i__3].r = q__1.r, vr[i__3].i = q__1.i; /* L50: */ } L60: ; } } /* End of eigenvector calculation */ } /* Undo scaling in alpha, beta */ /* Note: this does not give the alpha and beta for the unscaled */ /* problem. */ /* Un-scaling is limited to avoid underflow in alpha and beta */ /* if they are significant. */ i__1 = *n; for (jc = 1; jc <= i__1; ++jc) { i__2 = jc; absar = (r__1 = alpha[i__2].r, dabs(r__1)); absai = (r__1 = r_imag(&alpha[jc]), dabs(r__1)); i__2 = jc; absb = (r__1 = beta[i__2].r, dabs(r__1)); i__2 = jc; salfar = anrm * alpha[i__2].r; salfai = anrm * r_imag(&alpha[jc]); i__2 = jc; sbeta = bnrm * beta[i__2].r; ilimit = FALSE_; scale = 1.f; /* Check for significant underflow in imaginary part of ALPHA */ /* Computing MAX */ r__1 = safmin, r__2 = eps * absar, r__1 = max(r__1,r__2), r__2 = eps * absb; if (dabs(salfai) < safmin && absai >= dmax(r__1,r__2)) { ilimit = TRUE_; /* Computing MAX */ r__1 = safmin, r__2 = anrm2 * absai; scale = safmin / anrm1 / dmax(r__1,r__2); } /* Check for significant underflow in real part of ALPHA */ /* Computing MAX */ r__1 = safmin, r__2 = eps * absai, r__1 = max(r__1,r__2), r__2 = eps * absb; if (dabs(salfar) < safmin && absar >= dmax(r__1,r__2)) { ilimit = TRUE_; /* Computing MAX */ /* Computing MAX */ r__3 = safmin, r__4 = anrm2 * absar; r__1 = scale, r__2 = safmin / anrm1 / dmax(r__3,r__4); scale = dmax(r__1,r__2); } /* Check for significant underflow in BETA */ /* Computing MAX */ r__1 = safmin, r__2 = eps * absar, r__1 = max(r__1,r__2), r__2 = eps * absai; if (dabs(sbeta) < safmin && absb >= dmax(r__1,r__2)) { ilimit = TRUE_; /* Computing MAX */ /* Computing MAX */ r__3 = safmin, r__4 = bnrm2 * absb; r__1 = scale, r__2 = safmin / bnrm1 / dmax(r__3,r__4); scale = dmax(r__1,r__2); } /* Check for possible overflow when limiting scaling */ if (ilimit) { /* Computing MAX */ r__1 = dabs(salfar), r__2 = dabs(salfai), r__1 = max(r__1,r__2), r__2 = dabs(sbeta); temp = scale * safmin * dmax(r__1,r__2); if (temp > 1.f) { scale /= temp; } if (scale < 1.f) { ilimit = FALSE_; } } /* Recompute un-scaled ALPHA, BETA if necessary. */ if (ilimit) { i__2 = jc; salfar = scale * alpha[i__2].r * anrm; salfai = scale * r_imag(&alpha[jc]) * anrm; i__2 = jc; q__2.r = scale * beta[i__2].r, q__2.i = scale * beta[i__2].i; q__1.r = bnrm * q__2.r, q__1.i = bnrm * q__2.i; sbeta = q__1.r; } i__2 = jc; q__1.r = salfar, q__1.i = salfai; alpha[i__2].r = q__1.r, alpha[i__2].i = q__1.i; i__2 = jc; beta[i__2].r = sbeta, beta[i__2].i = 0.f; /* L70: */ } L80: work[1].r = (real) lwkopt, work[1].i = 0.f; return 0; /* End of CGEGV */ } /* cgegv_ */