#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__0 = 0; static integer c_n1 = -1; /* Subroutine */ int cggev_(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; /* Builtin functions */ double sqrt(doublereal), r_imag(complex *); /* Local variables */ integer jc, in, jr, ihi, ilo; real eps; logical ilv; real anrm, bnrm; integer ierr, itau; real temp; logical ilvl, ilvr; integer iwrk; extern logical lsame_(char *, char *); integer ileft, icols, irwrk, 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 *), slabad_(real *, real *); 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 *), clascl_(char *, integer *, integer *, real *, real *, integer *, integer *, complex *, integer *, integer *); logical ilascl, ilbscl; extern /* Subroutine */ int cgeqrf_(integer *, integer *, complex *, integer *, complex *, complex *, integer *, integer *); extern doublereal slamch_(char *); extern /* Subroutine */ int clacpy_(char *, integer *, integer *, complex *, integer *, complex *, integer *), claset_(char *, integer *, integer *, complex *, complex *, complex *, integer *), ctgevc_(char *, char *, logical *, integer *, complex *, integer *, complex *, integer *, complex *, integer *, complex *, integer *, integer *, integer *, complex *, real *, integer *), xerbla_(char *, integer *); logical ldumma[1]; char chtemp[1]; real bignum; extern /* Subroutine */ int chgeqz_(char *, char *, char *, integer *, integer *, integer *, complex *, integer *, complex *, integer *, complex *, complex *, complex *, integer *, complex *, integer *, complex *, integer *, real *, integer *); extern integer ilaenv_(integer *, char *, char *, integer *, integer *, integer *, integer *); integer ijobvl, iright, ijobvr; extern /* Subroutine */ int cungqr_(integer *, integer *, integer *, complex *, integer *, complex *, complex *, integer *, integer *); real anrmto; integer lwkmin; real bnrmto; extern /* Subroutine */ int cunmqr_(char *, char *, integer *, integer *, integer *, complex *, integer *, complex *, complex *, integer *, complex *, integer *, integer *); real smlnum; integer 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 */ /* ======= */ /* CGGEV computes for a pair of N-by-N complex nonsymmetric matrices */ /* (A,B), the generalized eigenvalues, and optionally, the left and/or */ /* right generalized eigenvectors. */ /* A generalized eigenvalue for a pair of matrices (A,B) is a scalar */ /* lambda or a ratio alpha/beta = lambda, such that A - lambda*B is */ /* singular. It is usually represented as the pair (alpha,beta), as */ /* there is a reasonable interpretation for beta=0, and even for both */ /* being zero. */ /* The right generalized eigenvector v(j) corresponding to the */ /* generalized eigenvalue lambda(j) of (A,B) satisfies */ /* A * v(j) = lambda(j) * B * v(j). */ /* The left generalized eigenvector u(j) corresponding to the */ /* generalized eigenvalues lambda(j) of (A,B) satisfies */ /* u(j)**H * A = lambda(j) * u(j)**H * B */ /* where u(j)**H is the conjugate-transpose of u(j). */ /* Arguments */ /* ========= */ /* JOBVL (input) CHARACTER*1 */ /* = 'N': do not compute the left generalized eigenvectors; */ /* = 'V': compute the left generalized eigenvectors. */ /* JOBVR (input) CHARACTER*1 */ /* = 'N': do not compute the right generalized eigenvectors; */ /* = 'V': compute the right generalized eigenvectors. */ /* 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 in the pair (A,B). */ /* On exit, A has been overwritten. */ /* 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 in the pair (A,B). */ /* On exit, B has been overwritten. */ /* LDB (input) INTEGER */ /* The leading dimension of B. LDB >= max(1,N). */ /* ALPHA (output) COMPLEX array, dimension (N) */ /* BETA (output) COMPLEX array, dimension (N) */ /* On exit, ALPHA(j)/BETA(j), j=1,...,N, will be the */ /* generalized eigenvalues. */ /* Note: the quotients ALPHA(j)/BETA(j) may easily over- or */ /* underflow, and BETA(j) may even be zero. Thus, the user */ /* should avoid naively computing the ratio alpha/beta. */ /* However, ALPHA will be always less than and usually */ /* comparable with norm(A) in magnitude, and BETA always less */ /* than and usually comparable with norm(B). */ /* VL (output) COMPLEX array, dimension (LDVL,N) */ /* If JOBVL = 'V', the left generalized eigenvectors u(j) are */ /* stored one after another in the columns of VL, in the same */ /* order as their eigenvalues. */ /* Each eigenvector is scaled so the largest component has */ /* abs(real part) + abs(imag. part) = 1. */ /* 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 generalized eigenvectors v(j) are */ /* stored one after another in the columns of VR, in the same */ /* order as their eigenvalues. */ /* Each eigenvector is scaled so the largest component has */ /* abs(real part) + abs(imag. part) = 1. */ /* 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. */ /* 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: =N+1: other then QZ iteration failed in SHGEQZ, */ /* =N+2: error return from STGEVC. */ /* ===================================================================== */ /* .. 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 */ *info = 0; lquery = *lwork == -1; 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; } /* 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. The workspace is */ /* computed assuming ILO = 1 and IHI = N, the worst case.) */ if (*info == 0) { /* Computing MAX */ i__1 = 1, i__2 = *n << 1; lwkmin = max(i__1,i__2); /* Computing MAX */ i__1 = 1, i__2 = *n + *n * ilaenv_(&c__1, "CGEQRF", " ", n, &c__1, n, &c__0); lwkopt = max(i__1,i__2); /* Computing MAX */ i__1 = lwkopt, i__2 = *n + *n * ilaenv_(&c__1, "CUNMQR", " ", n, & c__1, n, &c__0); lwkopt = max(i__1,i__2); if (ilvl) { /* Computing MAX */ i__1 = lwkopt, i__2 = *n + *n * ilaenv_(&c__1, "CUNGQR", " ", n, & c__1, n, &c_n1); lwkopt = max(i__1,i__2); } work[1].r = (real) lwkopt, work[1].i = 0.f; if (*lwork < lwkmin && ! lquery) { *info = -15; } } if (*info != 0) { i__1 = -(*info); xerbla_("CGGEV ", &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"); smlnum = slamch_("S"); bignum = 1.f / smlnum; slabad_(&smlnum, &bignum); smlnum = sqrt(smlnum) / eps; bignum = 1.f / smlnum; /* Scale A if max element outside range [SMLNUM,BIGNUM] */ anrm = clange_("M", n, n, &a[a_offset], lda, &rwork[1]); ilascl = FALSE_; if (anrm > 0.f && anrm < smlnum) { anrmto = smlnum; ilascl = TRUE_; } else if (anrm > bignum) { anrmto = bignum; ilascl = TRUE_; } if (ilascl) { clascl_("G", &c__0, &c__0, &anrm, &anrmto, n, n, &a[a_offset], lda, & ierr); } /* Scale B if max element outside range [SMLNUM,BIGNUM] */ bnrm = clange_("M", n, n, &b[b_offset], ldb, &rwork[1]); ilbscl = FALSE_; if (bnrm > 0.f && bnrm < smlnum) { bnrmto = smlnum; ilbscl = TRUE_; } else if (bnrm > bignum) { bnrmto = bignum; ilbscl = TRUE_; } if (ilbscl) { clascl_("G", &c__0, &c__0, &bnrm, &bnrmto, n, n, &b[b_offset], ldb, & ierr); } /* Permute the matrices A, B to isolate eigenvalues if possible */ /* (Real Workspace: need 6*N) */ ileft = 1; iright = *n + 1; irwrk = iright + *n; cggbal_("P", n, &a[a_offset], lda, &b[b_offset], ldb, &ilo, &ihi, &rwork[ ileft], &rwork[iright], &rwork[irwrk], &ierr); /* Reduce B to triangular form (QR decomposition of B) */ /* (Complex Workspace: need N, prefer N*NB) */ irows = ihi + 1 - ilo; if (ilv) { icols = *n + 1 - ilo; } else { icols = irows; } itau = 1; iwrk = itau + irows; i__1 = *lwork + 1 - iwrk; cgeqrf_(&irows, &icols, &b[ilo + ilo * b_dim1], ldb, &work[itau], &work[ iwrk], &i__1, &ierr); /* Apply the orthogonal transformation to matrix A */ /* (Complex Workspace: need N, prefer N*NB) */ i__1 = *lwork + 1 - iwrk; cunmqr_("L", "C", &irows, &icols, &irows, &b[ilo + ilo * b_dim1], ldb, & work[itau], &a[ilo + ilo * a_dim1], lda, &work[iwrk], &i__1, & ierr); /* Initialize VL */ /* (Complex Workspace: need N, prefer N*NB) */ if (ilvl) { claset_("Full", n, n, &c_b1, &c_b2, &vl[vl_offset], ldvl); if (irows > 1) { 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 - iwrk; cungqr_(&irows, &irows, &irows, &vl[ilo + ilo * vl_dim1], ldvl, &work[ itau], &work[iwrk], &i__1, &ierr); } /* Initialize VR */ 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, &ierr); } 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, &ierr); } /* Perform QZ algorithm (Compute eigenvalues, and optionally, the */ /* Schur form and Schur vectors) */ /* (Complex Workspace: need N) */ /* (Real Workspace: need N) */ iwrk = itau; if (ilv) { *(unsigned char *)chtemp = 'S'; } else { *(unsigned char *)chtemp = 'E'; } i__1 = *lwork + 1 - iwrk; 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[iwrk], &i__1, &rwork[irwrk], &ierr); if (ierr != 0) { if (ierr > 0 && ierr <= *n) { *info = ierr; } else if (ierr > *n && ierr <= *n << 1) { *info = ierr - *n; } else { *info = *n + 1; } goto L70; } /* Compute Eigenvectors */ /* (Real Workspace: need 2*N) */ /* (Complex Workspace: need 2*N) */ if (ilv) { 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[ iwrk], &rwork[irwrk], &ierr); if (ierr != 0) { *info = *n + 2; goto L70; } /* Undo balancing on VL and VR and normalization */ /* (Workspace: none needed) */ if (ilvl) { cggbak_("P", "L", n, &ilo, &ihi, &rwork[ileft], &rwork[iright], n, &vl[vl_offset], ldvl, &ierr); 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 < smlnum) { 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, &ierr); 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 < smlnum) { 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: ; } } } /* Undo scaling if necessary */ if (ilascl) { clascl_("G", &c__0, &c__0, &anrmto, &anrm, n, &c__1, &alpha[1], n, & ierr); } if (ilbscl) { clascl_("G", &c__0, &c__0, &bnrmto, &bnrm, n, &c__1, &beta[1], n, & ierr); } L70: work[1].r = (real) lwkopt, work[1].i = 0.f; return 0; /* End of CGGEV */ } /* cggev_ */