/* Subroutine */ int cppt03_(char *uplo, integer *n, complex *a, complex *
ainv, complex *work, integer *ldwork, real *rwork, real *rcond, real *
resid)
{
/* System generated locals */
integer work_dim1, work_offset, i__1, i__2, i__3;
complex q__1;
/* Builtin functions */
void r_cnjg(complex *, complex *);
/* Local variables */
integer i__, j, jj;
real eps;
extern logical lsame_(char *, char *);
real anorm;
extern /* Subroutine */ int ccopy_(integer *, complex *, integer *,
complex *, integer *), chpmv_(char *, integer *, complex *,
complex *, complex *, integer *, complex *, complex *, integer *);
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *), clanhp_(char *, char *, integer *,
complex *, real *), slamch_(char *);
real ainvnm;
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CPPT03 computes the residual for a Hermitian packed matrix times its */
/* inverse: */
/* norm( I - A*AINV ) / ( N * norm(A) * norm(AINV) * EPS ), */
/* where EPS is the machine epsilon. */
/* Arguments */
/* ========== */
/* UPLO (input) CHARACTER*1 */
/* Specifies whether the upper or lower triangular part of the */
/* Hermitian matrix A is stored: */
/* = 'U': Upper triangular */
/* = 'L': Lower triangular */
/* N (input) INTEGER */
/* The number of rows and columns of the matrix A. N >= 0. */
/* A (input) COMPLEX array, dimension (N*(N+1)/2) */
/* The original Hermitian matrix A, stored as a packed */
/* triangular matrix. */
/* AINV (input) COMPLEX array, dimension (N*(N+1)/2) */
/* The (Hermitian) inverse of the matrix A, stored as a packed */
/* triangular matrix. */
/* WORK (workspace) COMPLEX array, dimension (LDWORK,N) */
/* LDWORK (input) INTEGER */
/* The leading dimension of the array WORK. LDWORK >= max(1,N). */
/* RWORK (workspace) REAL array, dimension (N) */
/* RCOND (output) REAL */
/* The reciprocal of the condition number of A, computed as */
/* ( 1/norm(A) ) / norm(AINV). */
/* RESID (output) REAL */
/* norm(I - A*AINV) / ( N * norm(A) * norm(AINV) * EPS ) */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Executable Statements .. */
/* Quick exit if N = 0. */
/* Parameter adjustments */
--a;
--ainv;
work_dim1 = *ldwork;
work_offset = 1 + work_dim1;
work -= work_offset;
--rwork;
/* Function Body */
if (*n <= 0) {
*rcond = 1.f;
*resid = 0.f;
return 0;
}
/* Exit with RESID = 1/EPS if ANORM = 0 or AINVNM = 0. */
eps = slamch_("Epsilon");
anorm = clanhp_("1", uplo, n, &a[1], &rwork[1]);
ainvnm = clanhp_("1", uplo, n, &ainv[1], &rwork[1]);
if (anorm <= 0.f || ainvnm <= 0.f) {
*rcond = 0.f;
*resid = 1.f / eps;
return 0;
}
*rcond = 1.f / anorm / ainvnm;
/* UPLO = 'U': */
/* Copy the leading N-1 x N-1 submatrix of AINV to WORK(1:N,2:N) and */
/* expand it to a full matrix, then multiply by A one column at a */
/* time, moving the result one column to the left. */
if (lsame_(uplo, "U")) {
/* Copy AINV */
jj = 1;
i__1 = *n - 1;
for (j = 1; j <= i__1; ++j) {
ccopy_(&j, &ainv[jj], &c__1, &work[(j + 1) * work_dim1 + 1], &
c__1);
i__2 = j - 1;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = j + (i__ + 1) * work_dim1;
r_cnjg(&q__1, &ainv[jj + i__ - 1]);
work[i__3].r = q__1.r, work[i__3].i = q__1.i;
/* L10: */
}
jj += j;
/* L20: */
}
jj = (*n - 1) * *n / 2 + 1;
i__1 = *n - 1;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = *n + (i__ + 1) * work_dim1;
r_cnjg(&q__1, &ainv[jj + i__ - 1]);
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
/* L30: */
}
/* Multiply by A */
i__1 = *n - 1;
for (j = 1; j <= i__1; ++j) {
q__1.r = -1.f, q__1.i = -0.f;
chpmv_("Upper", n, &q__1, &a[1], &work[(j + 1) * work_dim1 + 1], &
c__1, &c_b1, &work[j * work_dim1 + 1], &c__1);
/* L40: */
}
q__1.r = -1.f, q__1.i = -0.f;
chpmv_("Upper", n, &q__1, &a[1], &ainv[jj], &c__1, &c_b1, &work[*n *
work_dim1 + 1], &c__1);
/* UPLO = 'L': */
/* Copy the trailing N-1 x N-1 submatrix of AINV to WORK(1:N,1:N-1) */
/* and multiply by A, moving each column to the right. */
} else {
/* Copy AINV */
i__1 = *n - 1;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = i__ * work_dim1 + 1;
r_cnjg(&q__1, &ainv[i__ + 1]);
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
/* L50: */
}
jj = *n + 1;
i__1 = *n;
for (j = 2; j <= i__1; ++j) {
i__2 = *n - j + 1;
ccopy_(&i__2, &ainv[jj], &c__1, &work[j + (j - 1) * work_dim1], &
c__1);
i__2 = *n - j;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = j + (j + i__ - 1) * work_dim1;
r_cnjg(&q__1, &ainv[jj + i__]);
work[i__3].r = q__1.r, work[i__3].i = q__1.i;
/* L60: */
}
jj = jj + *n - j + 1;
/* L70: */
}
/* Multiply by A */
for (j = *n; j >= 2; --j) {
q__1.r = -1.f, q__1.i = -0.f;
chpmv_("Lower", n, &q__1, &a[1], &work[(j - 1) * work_dim1 + 1], &
c__1, &c_b1, &work[j * work_dim1 + 1], &c__1);
/* L80: */
}
q__1.r = -1.f, q__1.i = -0.f;
chpmv_("Lower", n, &q__1, &a[1], &ainv[1], &c__1, &c_b1, &work[
work_dim1 + 1], &c__1);
}
/* Add the identity matrix to WORK . */
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = i__ + i__ * work_dim1;
i__3 = i__ + i__ * work_dim1;
q__1.r = work[i__3].r + 1.f, q__1.i = work[i__3].i + 0.f;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
/* L90: */
}
/* Compute norm(I - A*AINV) / (N * norm(A) * norm(AINV) * EPS) */
*resid = clange_("1", n, n, &work[work_offset], ldwork, &rwork[1]);
*resid = *resid * *rcond / eps / (real) (*n);
return 0;
/* End of CPPT03 */
} /* cppt03_ */
/* Subroutine */ int cchkgl_(integer *nin, integer *nout)
{
/* Format strings */
static char fmt_9999[] = "(\002 .. test output of CGGBAL .. \002)";
static char fmt_9998[] = "(\002 ratio of largest test error "
" = \002,e12.3)";
static char fmt_9997[] = "(\002 example number where info is not zero "
" = \002,i4)";
static char fmt_9996[] = "(\002 example number where ILO or IHI is wrong"
" = \002,i4)";
static char fmt_9995[] = "(\002 example number having largest error "
" = \002,i4)";
static char fmt_9994[] = "(\002 number of examples where info is not 0 "
" = \002,i4)";
static char fmt_9993[] = "(\002 total number of examples tested "
" = \002,i4)";
/* System generated locals */
integer i__1, i__2, i__3, i__4;
real r__1, r__2, r__3;
complex q__1;
/* Builtin functions */
integer s_rsle(cilist *), do_lio(integer *, integer *, char *, ftnlen),
e_rsle(void);
double c_abs(complex *);
integer s_wsfe(cilist *), e_wsfe(void), do_fio(integer *, char *, ftnlen);
/* Local variables */
complex a[400] /* was [20][20] */, b[400] /* was [20][20] */;
integer i__, j, n;
complex ain[400] /* was [20][20] */, bin[400] /* was [20][20] */;
integer ihi, ilo;
real eps;
integer knt, info, lmax[3];
real rmax, vmax, work[120];
integer ihiin, ninfo, iloin;
real anorm, bnorm;
extern /* Subroutine */ int cggbal_(char *, integer *, complex *, integer
*, complex *, integer *, integer *, integer *, real *, real *,
real *, integer *);
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *);
real lscale[20];
extern doublereal slamch_(char *);
real rscale[20], lsclin[20], rsclin[20];
/* Fortran I/O blocks */
static cilist io___6 = { 0, 0, 0, 0, 0 };
static cilist io___9 = { 0, 0, 0, 0, 0 };
static cilist io___12 = { 0, 0, 0, 0, 0 };
static cilist io___14 = { 0, 0, 0, 0, 0 };
static cilist io___17 = { 0, 0, 0, 0, 0 };
static cilist io___19 = { 0, 0, 0, 0, 0 };
static cilist io___21 = { 0, 0, 0, 0, 0 };
static cilist io___23 = { 0, 0, 0, 0, 0 };
static cilist io___34 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___35 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___36 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___37 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___38 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___39 = { 0, 0, 0, fmt_9994, 0 };
static cilist io___40 = { 0, 0, 0, fmt_9993, 0 };
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CCHKGL tests CGGBAL, a routine for balancing a matrix pair (A, B). */
/* Arguments */
/* ========= */
/* NIN (input) INTEGER */
/* The logical unit number for input. NIN > 0. */
/* NOUT (input) INTEGER */
/* The logical unit number for output. NOUT > 0. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
lmax[0] = 0;
lmax[1] = 0;
lmax[2] = 0;
ninfo = 0;
knt = 0;
rmax = 0.f;
eps = slamch_("Precision");
L10:
io___6.ciunit = *nin;
s_rsle(&io___6);
do_lio(&c__3, &c__1, (char *)&n, (ftnlen)sizeof(integer));
e_rsle();
if (n == 0) {
goto L90;
}
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
io___9.ciunit = *nin;
s_rsle(&io___9);
i__2 = n;
for (j = 1; j <= i__2; ++j) {
do_lio(&c__6, &c__1, (char *)&a[i__ + j * 20 - 21], (ftnlen)
sizeof(complex));
}
e_rsle();
/* L20: */
}
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
io___12.ciunit = *nin;
s_rsle(&io___12);
i__2 = n;
for (j = 1; j <= i__2; ++j) {
do_lio(&c__6, &c__1, (char *)&b[i__ + j * 20 - 21], (ftnlen)
sizeof(complex));
}
e_rsle();
/* L30: */
}
io___14.ciunit = *nin;
s_rsle(&io___14);
do_lio(&c__3, &c__1, (char *)&iloin, (ftnlen)sizeof(integer));
do_lio(&c__3, &c__1, (char *)&ihiin, (ftnlen)sizeof(integer));
e_rsle();
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
io___17.ciunit = *nin;
s_rsle(&io___17);
i__2 = n;
for (j = 1; j <= i__2; ++j) {
do_lio(&c__6, &c__1, (char *)&ain[i__ + j * 20 - 21], (ftnlen)
sizeof(complex));
}
e_rsle();
/* L40: */
}
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
io___19.ciunit = *nin;
s_rsle(&io___19);
i__2 = n;
for (j = 1; j <= i__2; ++j) {
do_lio(&c__6, &c__1, (char *)&bin[i__ + j * 20 - 21], (ftnlen)
sizeof(complex));
}
e_rsle();
/* L50: */
}
io___21.ciunit = *nin;
s_rsle(&io___21);
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
do_lio(&c__4, &c__1, (char *)&lsclin[i__ - 1], (ftnlen)sizeof(real));
}
e_rsle();
io___23.ciunit = *nin;
s_rsle(&io___23);
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
do_lio(&c__4, &c__1, (char *)&rsclin[i__ - 1], (ftnlen)sizeof(real));
}
e_rsle();
anorm = clange_("M", &n, &n, a, &c__20, work);
bnorm = clange_("M", &n, &n, b, &c__20, work);
++knt;
cggbal_("B", &n, a, &c__20, b, &c__20, &ilo, &ihi, lscale, rscale, work, &
info);
if (info != 0) {
++ninfo;
lmax[0] = knt;
}
if (ilo != iloin || ihi != ihiin) {
++ninfo;
lmax[1] = knt;
}
vmax = 0.f;
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = n;
for (j = 1; j <= i__2; ++j) {
/* Computing MAX */
i__3 = i__ + j * 20 - 21;
i__4 = i__ + j * 20 - 21;
q__1.r = a[i__3].r - ain[i__4].r, q__1.i = a[i__3].i - ain[i__4]
.i;
r__1 = vmax, r__2 = c_abs(&q__1);
vmax = dmax(r__1,r__2);
/* Computing MAX */
i__3 = i__ + j * 20 - 21;
i__4 = i__ + j * 20 - 21;
q__1.r = b[i__3].r - bin[i__4].r, q__1.i = b[i__3].i - bin[i__4]
.i;
r__1 = vmax, r__2 = c_abs(&q__1);
vmax = dmax(r__1,r__2);
/* L60: */
}
/* L70: */
}
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
/* Computing MAX */
r__2 = vmax, r__3 = (r__1 = lscale[i__ - 1] - lsclin[i__ - 1], dabs(
r__1));
vmax = dmax(r__2,r__3);
/* Computing MAX */
r__2 = vmax, r__3 = (r__1 = rscale[i__ - 1] - rsclin[i__ - 1], dabs(
r__1));
vmax = dmax(r__2,r__3);
/* L80: */
}
vmax /= eps * dmax(anorm,bnorm);
if (vmax > rmax) {
lmax[2] = knt;
rmax = vmax;
}
goto L10;
L90:
io___34.ciunit = *nout;
s_wsfe(&io___34);
e_wsfe();
io___35.ciunit = *nout;
s_wsfe(&io___35);
do_fio(&c__1, (char *)&rmax, (ftnlen)sizeof(real));
e_wsfe();
io___36.ciunit = *nout;
s_wsfe(&io___36);
do_fio(&c__1, (char *)&lmax[0], (ftnlen)sizeof(integer));
e_wsfe();
io___37.ciunit = *nout;
s_wsfe(&io___37);
do_fio(&c__1, (char *)&lmax[1], (ftnlen)sizeof(integer));
e_wsfe();
io___38.ciunit = *nout;
s_wsfe(&io___38);
do_fio(&c__1, (char *)&lmax[2], (ftnlen)sizeof(integer));
e_wsfe();
io___39.ciunit = *nout;
s_wsfe(&io___39);
do_fio(&c__1, (char *)&ninfo, (ftnlen)sizeof(integer));
e_wsfe();
io___40.ciunit = *nout;
s_wsfe(&io___40);
do_fio(&c__1, (char *)&knt, (ftnlen)sizeof(integer));
e_wsfe();
return 0;
/* End of CCHKGL */
} /* cchkgl_ */
doublereal ctzt01_(integer *m, integer *n, complex *a, complex *af, integer *
lda, complex *tau, complex *work, integer *lwork)
{
/* System generated locals */
integer a_dim1, a_offset, af_dim1, af_offset, i__1, i__2, i__3, i__4;
real ret_val;
/* Local variables */
integer i__, j;
real norma;
real rwork[1];
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CTZT01 returns */
/* || A - R*Q || / ( M * eps * ||A|| ) */
/* for an upper trapezoidal A that was factored with CTZRQF. */
/* Arguments */
/* ========= */
/* M (input) INTEGER */
/* The number of rows of the matrices A and AF. */
/* N (input) INTEGER */
/* The number of columns of the matrices A and AF. */
/* A (input) COMPLEX array, dimension (LDA,N) */
/* The original upper trapezoidal M by N matrix A. */
/* AF (input) COMPLEX array, dimension (LDA,N) */
/* The output of CTZRQF for input matrix A. */
/* The lower triangle is not referenced. */
/* LDA (input) INTEGER */
/* The leading dimension of the arrays A and AF. */
/* TAU (input) COMPLEX array, dimension (M) */
/* Details of the Householder transformations as returned by */
/* CTZRQF. */
/* WORK (workspace) COMPLEX array, dimension (LWORK) */
/* LWORK (input) INTEGER */
/* The length of the array WORK. LWORK >= m*n + m. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Parameter adjustments */
af_dim1 = *lda;
af_offset = 1 + af_dim1;
af -= af_offset;
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--tau;
--work;
/* Function Body */
ret_val = 0.f;
if (*lwork < *m * *n + *m) {
this_xerbla_("CTZT01", &c__8);
return ret_val;
}
/* Quick return if possible */
if (*m <= 0 || *n <= 0) {
return ret_val;
}
norma = clange_("One-norm", m, n, &a[a_offset], lda, rwork);
/* Copy upper triangle R */
claset_("Full", m, n, &c_b6, &c_b6, &work[1], m);
i__1 = *m;
for (j = 1; j <= i__1; ++j) {
i__2 = j;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = (j - 1) * *m + i__;
i__4 = i__ + j * af_dim1;
work[i__3].r = af[i__4].r, work[i__3].i = af[i__4].i;
/* L10: */
}
/* L20: */
}
/* R = R * P(1) * ... *P(m) */
i__1 = *m;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = *n - *m + 1;
clatzm_("Right", &i__, &i__2, &af[i__ + (*m + 1) * af_dim1], lda, &
tau[i__], &work[(i__ - 1) * *m + 1], &work[*m * *m + 1], m, &
work[*m * *n + 1]);
/* L30: */
}
/* R = R - A */
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
caxpy_(m, &c_b15, &a[i__ * a_dim1 + 1], &c__1, &work[(i__ - 1) * *m +
1], &c__1);
/* L40: */
}
ret_val = clange_("One-norm", m, n, &work[1], m, rwork);
ret_val /= slamch_("Epsilon") * (real) max(*m,*n);
if (norma != 0.f) {
ret_val /= norma;
}
return ret_val;
/* End of CTZT01 */
} /* ctzt01_ */
/* Subroutine */ int cggesx_(char *jobvsl, char *jobvsr, char *sort, L_fp
selctg, char *sense, integer *n, complex *a, integer *lda, complex *b,
integer *ldb, integer *sdim, complex *alpha, complex *beta, complex *
vsl, integer *ldvsl, complex *vsr, integer *ldvsr, real *rconde, real
*rcondv, complex *work, integer *lwork, real *rwork, integer *iwork,
integer *liwork, logical *bwork, integer *info)
{
/* -- LAPACK driver routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
June 30, 1999
Purpose
=======
CGGESX computes for a pair of N-by-N complex nonsymmetric matrices
(A,B), the generalized eigenvalues, the complex Schur form (S,T),
and, optionally, the left and/or right matrices of Schur vectors (VSL
and VSR). This gives the generalized Schur factorization
(A,B) = ( (VSL) S (VSR)**H, (VSL) T (VSR)**H )
where (VSR)**H is the conjugate-transpose of VSR.
Optionally, it also orders the eigenvalues so that a selected cluster
of eigenvalues appears in the leading diagonal blocks of the upper
triangular matrix S and the upper triangular matrix T; computes
a reciprocal condition number for the average of the selected
eigenvalues (RCONDE); and computes a reciprocal condition number for
the right and left deflating subspaces corresponding to the selected
eigenvalues (RCONDV). The leading columns of VSL and VSR then form
an orthonormal basis for the corresponding left and right eigenspaces
(deflating subspaces).
A generalized eigenvalue for a pair of matrices (A,B) is a scalar w
or a ratio alpha/beta = w, such that A - w*B is singular. It is
usually represented as the pair (alpha,beta), as there is a
reasonable interpretation for beta=0 or for both being zero.
A pair of matrices (S,T) is in generalized complex Schur form if T is
upper triangular with non-negative diagonal and S is upper
triangular.
Arguments
=========
JOBVSL (input) CHARACTER*1
= 'N': do not compute the left Schur vectors;
= 'V': compute the left Schur vectors.
JOBVSR (input) CHARACTER*1
= 'N': do not compute the right Schur vectors;
= 'V': compute the right Schur vectors.
SORT (input) CHARACTER*1
Specifies whether or not to order the eigenvalues on the
diagonal of the generalized Schur form.
= 'N': Eigenvalues are not ordered;
= 'S': Eigenvalues are ordered (see SELCTG).
SELCTG (input) LOGICAL FUNCTION of two COMPLEX arguments
SELCTG must be declared EXTERNAL in the calling subroutine.
If SORT = 'N', SELCTG is not referenced.
If SORT = 'S', SELCTG is used to select eigenvalues to sort
to the top left of the Schur form.
Note that a selected complex eigenvalue may no longer satisfy
SELCTG(ALPHA(j),BETA(j)) = .TRUE. after ordering, since
ordering may change the value of complex eigenvalues
(especially if the eigenvalue is ill-conditioned), in this
case INFO is set to N+3 see INFO below).
SENSE (input) CHARACTER
Determines which reciprocal condition numbers are computed.
= 'N' : None are computed;
= 'E' : Computed for average of selected eigenvalues only;
= 'V' : Computed for selected deflating subspaces only;
= 'B' : Computed for both.
If SENSE = 'E', 'V', or 'B', SORT must equal 'S'.
N (input) INTEGER
The order of the matrices A, B, VSL, and VSR. N >= 0.
A (input/output) COMPLEX array, dimension (LDA, N)
On entry, the first of the pair of matrices.
On exit, A has been overwritten by its generalized Schur
form S.
LDA (input) INTEGER
The leading dimension of A. LDA >= max(1,N).
B (input/output) COMPLEX array, dimension (LDB, N)
On entry, the second of the pair of matrices.
On exit, B has been overwritten by its generalized Schur
form T.
LDB (input) INTEGER
The leading dimension of B. LDB >= max(1,N).
SDIM (output) INTEGER
If SORT = 'N', SDIM = 0.
If SORT = 'S', SDIM = number of eigenvalues (after sorting)
for which SELCTG is true.
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. ALPHA(j) and BETA(j),j=1,...,N are
the diagonals of the complex Schur form (S,T). BETA(j) will
be non-negative real.
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).
VSL (output) COMPLEX array, dimension (LDVSL,N)
If JOBVSL = 'V', VSL will contain the left Schur vectors.
Not referenced if JOBVSL = 'N'.
LDVSL (input) INTEGER
The leading dimension of the matrix VSL. LDVSL >=1, and
if JOBVSL = 'V', LDVSL >= N.
VSR (output) COMPLEX array, dimension (LDVSR,N)
If JOBVSR = 'V', VSR will contain the right Schur vectors.
Not referenced if JOBVSR = 'N'.
LDVSR (input) INTEGER
The leading dimension of the matrix VSR. LDVSR >= 1, and
if JOBVSR = 'V', LDVSR >= N.
RCONDE (output) REAL array, dimension ( 2 )
If SENSE = 'E' or 'B', RCONDE(1) and RCONDE(2) contain the
reciprocal condition numbers for the average of the selected
eigenvalues.
Not referenced if SENSE = 'N' or 'V'.
RCONDV (output) REAL array, dimension ( 2 )
If SENSE = 'V' or 'B', RCONDV(1) and RCONDV(2) contain the
reciprocal condition number for the selected deflating
subspaces.
Not referenced if SENSE = 'N' or 'E'.
WORK (workspace/output) COMPLEX array, dimension (LWORK)
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK (input) INTEGER
The dimension of the array WORK. LWORK >= 2*N.
If SENSE = 'E', 'V', or 'B',
LWORK >= MAX(2*N, 2*SDIM*(N-SDIM)).
RWORK (workspace) REAL array, dimension ( 8*N )
Real workspace.
IWORK (workspace/output) INTEGER array, dimension (LIWORK)
Not referenced if SENSE = 'N'.
On exit, if INFO = 0, IWORK(1) returns the optimal LIWORK.
LIWORK (input) INTEGER
The dimension of the array WORK. LIWORK >= N+2.
BWORK (workspace) LOGICAL array, dimension (N)
Not referenced if SORT = '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. (A,B) are not in Schur
form, but ALPHA(j) and BETA(j) should be correct for
j=INFO+1,...,N.
> N: =N+1: other than QZ iteration failed in CHGEQZ
=N+2: after reordering, roundoff changed values of
some complex eigenvalues so that leading
eigenvalues in the Generalized Schur form no
longer satisfy SELCTG=.TRUE. This could also
be caused due to scaling.
=N+3: reordering failed in CTGSEN.
=====================================================================
Decode the input arguments
Parameter adjustments */
/* 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;
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, vsl_dim1, vsl_offset,
vsr_dim1, vsr_offset, i__1, i__2;
/* Builtin functions */
double sqrt(doublereal);
/* Local variables */
static integer ijob;
static real anrm, bnrm;
static integer ierr, itau, iwrk, i__;
extern logical lsame_(char *, char *);
static integer ileft, icols;
static logical cursl, ilvsl, ilvsr;
static integer 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 *);
static real pl;
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 *);
static real pr;
static logical ilascl, ilbscl;
extern /* Subroutine */ int cgeqrf_(integer *, integer *, complex *,
integer *, complex *, complex *, integer *, integer *), clacpy_(
char *, integer *, integer *, complex *, integer *, complex *,
integer *), claset_(char *, integer *, integer *, complex
*, complex *, complex *, integer *), xerbla_(char *,
integer *);
extern integer ilaenv_(integer *, char *, char *, integer *, integer *,
integer *, integer *, ftnlen, ftnlen);
extern doublereal slamch_(char *);
static 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 *),
ctgsen_(integer *, logical *, logical *, logical *, integer *,
complex *, integer *, complex *, integer *, complex *, complex *,
complex *, integer *, complex *, integer *, integer *, real *,
real *, real *, complex *, integer *, integer *, integer *,
integer *);
static integer ijobvl, iright, ijobvr;
static logical wantsb;
static integer liwmin;
static logical wantse, lastsl;
static real anrmto, bnrmto;
extern /* Subroutine */ int cungqr_(integer *, integer *, integer *,
complex *, integer *, complex *, complex *, integer *, integer *);
static integer minwrk, maxwrk;
static logical wantsn;
static real smlnum;
extern /* Subroutine */ int cunmqr_(char *, char *, integer *, integer *,
integer *, complex *, integer *, complex *, complex *, integer *,
complex *, integer *, integer *);
static logical wantst, wantsv;
static real dif[2];
static integer ihi, ilo;
static real eps;
#define a_subscr(a_1,a_2) (a_2)*a_dim1 + a_1
#define a_ref(a_1,a_2) a[a_subscr(a_1,a_2)]
#define b_subscr(a_1,a_2) (a_2)*b_dim1 + a_1
#define b_ref(a_1,a_2) b[b_subscr(a_1,a_2)]
#define vsl_subscr(a_1,a_2) (a_2)*vsl_dim1 + a_1
#define vsl_ref(a_1,a_2) vsl[vsl_subscr(a_1,a_2)]
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1 * 1;
b -= b_offset;
--alpha;
--beta;
vsl_dim1 = *ldvsl;
vsl_offset = 1 + vsl_dim1 * 1;
vsl -= vsl_offset;
vsr_dim1 = *ldvsr;
vsr_offset = 1 + vsr_dim1 * 1;
vsr -= vsr_offset;
--rconde;
--rcondv;
--work;
--rwork;
--iwork;
--bwork;
/* Function Body */
if (lsame_(jobvsl, "N")) {
ijobvl = 1;
ilvsl = FALSE_;
} else if (lsame_(jobvsl, "V")) {
ijobvl = 2;
ilvsl = TRUE_;
} else {
ijobvl = -1;
ilvsl = FALSE_;
}
if (lsame_(jobvsr, "N")) {
ijobvr = 1;
ilvsr = FALSE_;
} else if (lsame_(jobvsr, "V")) {
ijobvr = 2;
ilvsr = TRUE_;
} else {
ijobvr = -1;
ilvsr = FALSE_;
}
wantst = lsame_(sort, "S");
wantsn = lsame_(sense, "N");
wantse = lsame_(sense, "E");
wantsv = lsame_(sense, "V");
wantsb = lsame_(sense, "B");
if (wantsn) {
ijob = 0;
iwork[1] = 1;
} else if (wantse) {
ijob = 1;
} else if (wantsv) {
ijob = 2;
} else if (wantsb) {
ijob = 4;
}
/* Test the input arguments */
*info = 0;
if (ijobvl <= 0) {
*info = -1;
} else if (ijobvr <= 0) {
*info = -2;
} else if (! wantst && ! lsame_(sort, "N")) {
*info = -3;
} else if (! (wantsn || wantse || wantsv || wantsb) || ! wantst && !
wantsn) {
*info = -5;
} else if (*n < 0) {
*info = -6;
} else if (*lda < max(1,*n)) {
*info = -8;
} else if (*ldb < max(1,*n)) {
*info = -10;
} else if (*ldvsl < 1 || ilvsl && *ldvsl < *n) {
*info = -15;
} else if (*ldvsr < 1 || ilvsr && *ldvsr < *n) {
*info = -17;
}
/* 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.) */
minwrk = 1;
if (*info == 0 && *lwork >= 1) {
/* Computing MAX */
i__1 = 1, i__2 = *n << 1;
minwrk = max(i__1,i__2);
maxwrk = *n + *n * ilaenv_(&c__1, "CGEQRF", " ", n, &c__1, n, &c__0, (
ftnlen)6, (ftnlen)1);
if (ilvsl) {
/* Computing MAX */
i__1 = maxwrk, i__2 = *n + *n * ilaenv_(&c__1, "CUNGQR", " ", n, &
c__1, n, &c_n1, (ftnlen)6, (ftnlen)1);
maxwrk = max(i__1,i__2);
}
work[1].r = (real) maxwrk, work[1].i = 0.f;
}
if (! wantsn) {
liwmin = *n + 2;
} else {
liwmin = 1;
}
iwork[1] = liwmin;
if (*info == 0 && *lwork < minwrk) {
*info = -21;
} else if (*info == 0 && ijob >= 1) {
if (*liwork < liwmin) {
*info = -24;
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CGGESX", &i__1);
return 0;
}
/* Quick return if possible */
if (*n == 0) {
*sdim = 0;
return 0;
}
/* Get machine constants */
eps = slamch_("P");
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 matrix to make it more nearly triangular
(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;
icols = *n + 1 - ilo;
itau = 1;
iwrk = itau + irows;
i__1 = *lwork + 1 - iwrk;
cgeqrf_(&irows, &icols, &b_ref(ilo, ilo), ldb, &work[itau], &work[iwrk], &
i__1, &ierr);
/* Apply the unitary transformation to matrix A
(Complex Workspace: need N, prefer N*NB) */
i__1 = *lwork + 1 - iwrk;
cunmqr_("L", "C", &irows, &icols, &irows, &b_ref(ilo, ilo), ldb, &work[
itau], &a_ref(ilo, ilo), lda, &work[iwrk], &i__1, &ierr);
/* Initialize VSL
(Complex Workspace: need N, prefer N*NB) */
if (ilvsl) {
claset_("Full", n, n, &c_b1, &c_b2, &vsl[vsl_offset], ldvsl);
i__1 = irows - 1;
i__2 = irows - 1;
clacpy_("L", &i__1, &i__2, &b_ref(ilo + 1, ilo), ldb, &vsl_ref(ilo +
1, ilo), ldvsl);
i__1 = *lwork + 1 - iwrk;
cungqr_(&irows, &irows, &irows, &vsl_ref(ilo, ilo), ldvsl, &work[itau]
, &work[iwrk], &i__1, &ierr);
}
/* Initialize VSR */
if (ilvsr) {
claset_("Full", n, n, &c_b1, &c_b2, &vsr[vsr_offset], ldvsr);
}
/* Reduce to generalized Hessenberg form
(Workspace: none needed) */
cgghrd_(jobvsl, jobvsr, n, &ilo, &ihi, &a[a_offset], lda, &b[b_offset],
ldb, &vsl[vsl_offset], ldvsl, &vsr[vsr_offset], ldvsr, &ierr);
*sdim = 0;
/* Perform QZ algorithm, computing Schur vectors if desired
(Complex Workspace: need N)
(Real Workspace: need N) */
iwrk = itau;
i__1 = *lwork + 1 - iwrk;
chgeqz_("S", jobvsl, jobvsr, n, &ilo, &ihi, &a[a_offset], lda, &b[
b_offset], ldb, &alpha[1], &beta[1], &vsl[vsl_offset], ldvsl, &
vsr[vsr_offset], ldvsr, &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 L40;
}
/* Sort eigenvalues ALPHA/BETA and compute the reciprocal of
condition number(s) */
if (wantst) {
/* Undo scaling on eigenvalues before SELCTGing */
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);
}
/* Select eigenvalues */
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
bwork[i__] = (*selctg)(&alpha[i__], &beta[i__]);
/* L10: */
}
/* Reorder eigenvalues, transform Generalized Schur vectors, and
compute reciprocal condition numbers
(Complex Workspace: If IJOB >= 1, need MAX(1, 2*SDIM*(N-SDIM))
otherwise, need 1 ) */
i__1 = *lwork - iwrk + 1;
ctgsen_(&ijob, &ilvsl, &ilvsr, &bwork[1], n, &a[a_offset], lda, &b[
b_offset], ldb, &alpha[1], &beta[1], &vsl[vsl_offset], ldvsl,
&vsr[vsr_offset], ldvsr, sdim, &pl, &pr, dif, &work[iwrk], &
i__1, &iwork[1], liwork, &ierr);
if (ijob >= 1) {
/* Computing MAX */
i__1 = maxwrk, i__2 = (*sdim << 1) * (*n - *sdim);
maxwrk = max(i__1,i__2);
}
if (ierr == -21) {
/* not enough complex workspace */
*info = -21;
} else {
rconde[1] = pl;
rconde[2] = pl;
rcondv[1] = dif[0];
rcondv[2] = dif[1];
if (ierr == 1) {
*info = *n + 3;
}
}
}
/* Apply permutation to VSL and VSR
(Workspace: none needed) */
if (ilvsl) {
cggbak_("P", "L", n, &ilo, &ihi, &rwork[ileft], &rwork[iright], n, &
vsl[vsl_offset], ldvsl, &ierr);
}
if (ilvsr) {
cggbak_("P", "R", n, &ilo, &ihi, &rwork[ileft], &rwork[iright], n, &
vsr[vsr_offset], ldvsr, &ierr);
}
/* Undo scaling */
if (ilascl) {
clascl_("U", &c__0, &c__0, &anrmto, &anrm, n, n, &a[a_offset], lda, &
ierr);
clascl_("G", &c__0, &c__0, &anrmto, &anrm, n, &c__1, &alpha[1], n, &
ierr);
}
if (ilbscl) {
clascl_("U", &c__0, &c__0, &bnrmto, &bnrm, n, n, &b[b_offset], ldb, &
ierr);
clascl_("G", &c__0, &c__0, &bnrmto, &bnrm, n, &c__1, &beta[1], n, &
ierr);
}
/* L20: */
if (wantst) {
/* Check if reordering is correct */
lastsl = TRUE_;
*sdim = 0;
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
cursl = (*selctg)(&alpha[i__], &beta[i__]);
if (cursl) {
++(*sdim);
}
if (cursl && ! lastsl) {
*info = *n + 2;
}
lastsl = cursl;
/* L30: */
}
}
L40:
work[1].r = (real) maxwrk, work[1].i = 0.f;
iwork[1] = liwmin;
return 0;
/* End of CGGESX */
} /* cggesx_ */
DLLEXPORT float c_matrix_norm(char norm, MKL_INT m, MKL_INT n, MKL_Complex8 a[], float work[])
{
return clange_(&norm, &m, &n, a, &m, work);
}
/* Subroutine */ int cgrqts_(integer *m, integer *p, integer *n, complex *a,
complex *af, complex *q, complex *r__, integer *lda, complex *taua,
complex *b, complex *bf, complex *z__, complex *t, complex *bwk,
integer *ldb, complex *taub, complex *work, integer *lwork, real *
rwork, real *result)
{
/* System generated locals */
integer a_dim1, a_offset, af_dim1, af_offset, r_dim1, r_offset, q_dim1,
q_offset, b_dim1, b_offset, bf_dim1, bf_offset, t_dim1, t_offset,
z_dim1, z_offset, bwk_dim1, bwk_offset, i__1, i__2;
real r__1;
complex q__1;
/* Local variables */
static integer info;
static real unfl;
extern /* Subroutine */ int cgemm_(char *, char *, integer *, integer *,
integer *, complex *, complex *, integer *, complex *, integer *,
complex *, complex *, integer *), cherk_(char *,
char *, integer *, integer *, real *, complex *, integer *, real *
, complex *, integer *);
static real resid, anorm, bnorm;
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *), clanhe_(char *, char *, integer *,
complex *, integer *, real *), slamch_(char *);
extern /* Subroutine */ int cggrqf_(integer *, integer *, integer *,
complex *, integer *, complex *, complex *, integer *, complex *,
complex *, integer *, integer *), clacpy_(char *, integer *,
integer *, complex *, integer *, complex *, integer *),
claset_(char *, integer *, integer *, complex *, complex *,
complex *, integer *), cungqr_(integer *, integer *,
integer *, complex *, integer *, complex *, complex *, integer *,
integer *), cungrq_(integer *, integer *, integer *, complex *,
integer *, complex *, complex *, integer *, integer *);
static real ulp;
#define q_subscr(a_1,a_2) (a_2)*q_dim1 + a_1
#define q_ref(a_1,a_2) q[q_subscr(a_1,a_2)]
#define r___subscr(a_1,a_2) (a_2)*r_dim1 + a_1
#define r___ref(a_1,a_2) r__[r___subscr(a_1,a_2)]
#define z___subscr(a_1,a_2) (a_2)*z_dim1 + a_1
#define z___ref(a_1,a_2) z__[z___subscr(a_1,a_2)]
#define af_subscr(a_1,a_2) (a_2)*af_dim1 + a_1
#define af_ref(a_1,a_2) af[af_subscr(a_1,a_2)]
#define bf_subscr(a_1,a_2) (a_2)*bf_dim1 + a_1
#define bf_ref(a_1,a_2) bf[bf_subscr(a_1,a_2)]
/* -- LAPACK test routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
September 30, 1994
Purpose
=======
CGRQTS tests CGGRQF, which computes the GRQ factorization of an
M-by-N matrix A and a P-by-N matrix B: A = R*Q and B = Z*T*Q.
Arguments
=========
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
P (input) INTEGER
The number of rows of the matrix B. P >= 0.
N (input) INTEGER
The number of columns of the matrices A and B. N >= 0.
A (input) COMPLEX array, dimension (LDA,N)
The M-by-N matrix A.
AF (output) COMPLEX array, dimension (LDA,N)
Details of the GRQ factorization of A and B, as returned
by CGGRQF, see CGGRQF for further details.
Q (output) COMPLEX array, dimension (LDA,N)
The N-by-N unitary matrix Q.
R (workspace) COMPLEX array, dimension (LDA,MAX(M,N))
LDA (input) INTEGER
The leading dimension of the arrays A, AF, R and Q.
LDA >= max(M,N).
TAUA (output) COMPLEX array, dimension (min(M,N))
The scalar factors of the elementary reflectors, as returned
by SGGQRC.
B (input) COMPLEX array, dimension (LDB,N)
On entry, the P-by-N matrix A.
BF (output) COMPLEX array, dimension (LDB,N)
Details of the GQR factorization of A and B, as returned
by CGGRQF, see CGGRQF for further details.
Z (output) REAL array, dimension (LDB,P)
The P-by-P unitary matrix Z.
T (workspace) COMPLEX array, dimension (LDB,max(P,N))
BWK (workspace) COMPLEX array, dimension (LDB,N)
LDB (input) INTEGER
The leading dimension of the arrays B, BF, Z and T.
LDB >= max(P,N).
TAUB (output) COMPLEX array, dimension (min(P,N))
The scalar factors of the elementary reflectors, as returned
by SGGRQF.
WORK (workspace) COMPLEX array, dimension (LWORK)
LWORK (input) INTEGER
The dimension of the array WORK, LWORK >= max(M,P,N)**2.
RWORK (workspace) REAL array, dimension (M)
RESULT (output) REAL array, dimension (4)
The test ratios:
RESULT(1) = norm( R - A*Q' ) / ( MAX(M,N)*norm(A)*ULP)
RESULT(2) = norm( T*Q - Z'*B ) / (MAX(P,N)*norm(B)*ULP)
RESULT(3) = norm( I - Q'*Q ) / ( N*ULP )
RESULT(4) = norm( I - Z'*Z ) / ( P*ULP )
=====================================================================
Parameter adjustments */
r_dim1 = *lda;
r_offset = 1 + r_dim1 * 1;
r__ -= r_offset;
q_dim1 = *lda;
q_offset = 1 + q_dim1 * 1;
q -= q_offset;
af_dim1 = *lda;
af_offset = 1 + af_dim1 * 1;
af -= af_offset;
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
--taua;
bwk_dim1 = *ldb;
bwk_offset = 1 + bwk_dim1 * 1;
bwk -= bwk_offset;
t_dim1 = *ldb;
t_offset = 1 + t_dim1 * 1;
t -= t_offset;
z_dim1 = *ldb;
z_offset = 1 + z_dim1 * 1;
z__ -= z_offset;
bf_dim1 = *ldb;
bf_offset = 1 + bf_dim1 * 1;
bf -= bf_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1 * 1;
b -= b_offset;
--taub;
--work;
--rwork;
--result;
/* Function Body */
ulp = slamch_("Precision");
unfl = slamch_("Safe minimum");
/* Copy the matrix A to the array AF. */
clacpy_("Full", m, n, &a[a_offset], lda, &af[af_offset], lda);
clacpy_("Full", p, n, &b[b_offset], ldb, &bf[bf_offset], ldb);
/* Computing MAX */
r__1 = clange_("1", m, n, &a[a_offset], lda, &rwork[1]);
anorm = dmax(r__1,unfl);
/* Computing MAX */
r__1 = clange_("1", p, n, &b[b_offset], ldb, &rwork[1]);
bnorm = dmax(r__1,unfl);
/* Factorize the matrices A and B in the arrays AF and BF. */
cggrqf_(m, p, n, &af[af_offset], lda, &taua[1], &bf[bf_offset], ldb, &
taub[1], &work[1], lwork, &info);
/* Generate the N-by-N matrix Q */
claset_("Full", n, n, &c_b3, &c_b3, &q[q_offset], lda);
if (*m <= *n) {
if (*m > 0 && *m < *n) {
i__1 = *n - *m;
clacpy_("Full", m, &i__1, &af[af_offset], lda, &q_ref(*n - *m + 1,
1), lda);
}
if (*m > 1) {
i__1 = *m - 1;
i__2 = *m - 1;
clacpy_("Lower", &i__1, &i__2, &af_ref(2, *n - *m + 1), lda, &
q_ref(*n - *m + 2, *n - *m + 1), lda);
}
} else {
if (*n > 1) {
i__1 = *n - 1;
i__2 = *n - 1;
clacpy_("Lower", &i__1, &i__2, &af_ref(*m - *n + 2, 1), lda, &
q_ref(2, 1), lda);
}
}
i__1 = min(*m,*n);
cungrq_(n, n, &i__1, &q[q_offset], lda, &taua[1], &work[1], lwork, &info);
/* Generate the P-by-P matrix Z */
claset_("Full", p, p, &c_b3, &c_b3, &z__[z_offset], ldb);
if (*p > 1) {
i__1 = *p - 1;
clacpy_("Lower", &i__1, n, &bf_ref(2, 1), ldb, &z___ref(2, 1), ldb);
}
i__1 = min(*p,*n);
cungqr_(p, p, &i__1, &z__[z_offset], ldb, &taub[1], &work[1], lwork, &
info);
/* Copy R */
claset_("Full", m, n, &c_b1, &c_b1, &r__[r_offset], lda);
if (*m <= *n) {
clacpy_("Upper", m, m, &af_ref(1, *n - *m + 1), lda, &r___ref(1, *n -
*m + 1), lda);
} else {
i__1 = *m - *n;
clacpy_("Full", &i__1, n, &af[af_offset], lda, &r__[r_offset], lda);
clacpy_("Upper", n, n, &af_ref(*m - *n + 1, 1), lda, &r___ref(*m - *n
+ 1, 1), lda);
}
/* Copy T */
claset_("Full", p, n, &c_b1, &c_b1, &t[t_offset], ldb);
clacpy_("Upper", p, n, &bf[bf_offset], ldb, &t[t_offset], ldb);
/* Compute R - A*Q' */
q__1.r = -1.f, q__1.i = 0.f;
cgemm_("No transpose", "Conjugate transpose", m, n, n, &q__1, &a[a_offset]
, lda, &q[q_offset], lda, &c_b2, &r__[r_offset], lda);
/* Compute norm( R - A*Q' ) / ( MAX(M,N)*norm(A)*ULP ) . */
resid = clange_("1", m, n, &r__[r_offset], lda, &rwork[1]);
if (anorm > 0.f) {
/* Computing MAX */
i__1 = max(1,*m);
result[1] = resid / (real) max(i__1,*n) / anorm / ulp;
} else {
result[1] = 0.f;
}
/* Compute T*Q - Z'*B */
cgemm_("Conjugate transpose", "No transpose", p, n, p, &c_b2, &z__[
z_offset], ldb, &b[b_offset], ldb, &c_b1, &bwk[bwk_offset], ldb);
q__1.r = -1.f, q__1.i = 0.f;
cgemm_("No transpose", "No transpose", p, n, n, &c_b2, &t[t_offset], ldb,
&q[q_offset], lda, &q__1, &bwk[bwk_offset], ldb);
/* Compute norm( T*Q - Z'*B ) / ( MAX(P,N)*norm(A)*ULP ) . */
resid = clange_("1", p, n, &bwk[bwk_offset], ldb, &rwork[1]);
if (bnorm > 0.f) {
/* Computing MAX */
i__1 = max(1,*p);
result[2] = resid / (real) max(i__1,*m) / bnorm / ulp;
} else {
result[2] = 0.f;
}
/* Compute I - Q*Q' */
claset_("Full", n, n, &c_b1, &c_b2, &r__[r_offset], lda);
cherk_("Upper", "No Transpose", n, n, &c_b34, &q[q_offset], lda, &c_b35, &
r__[r_offset], lda);
/* Compute norm( I - Q'*Q ) / ( N * ULP ) . */
resid = clanhe_("1", "Upper", n, &r__[r_offset], lda, &rwork[1]);
result[3] = resid / (real) max(1,*n) / ulp;
/* Compute I - Z'*Z */
claset_("Full", p, p, &c_b1, &c_b2, &t[t_offset], ldb);
cherk_("Upper", "Conjugate transpose", p, p, &c_b34, &z__[z_offset], ldb,
&c_b35, &t[t_offset], ldb);
/* Compute norm( I - Z'*Z ) / ( P*ULP ) . */
resid = clanhe_("1", "Upper", p, &t[t_offset], ldb, &rwork[1]);
result[4] = resid / (real) max(1,*p) / ulp;
return 0;
/* End of CGRQTS */
} /* cgrqts_ */
/* Subroutine */ int cbdt02_(integer *m, integer *n, complex *b, integer *ldb,
complex *c__, integer *ldc, complex *u, integer *ldu, complex *work,
real *rwork, real *resid)
{
/* System generated locals */
integer b_dim1, b_offset, c_dim1, c_offset, u_dim1, u_offset, i__1;
real r__1, r__2;
/* Local variables */
integer j;
real eps;
extern /* Subroutine */ int cgemv_(char *, integer *, integer *, complex *
, complex *, integer *, complex *, integer *, complex *, complex *
, integer *);
real bnorm;
extern /* Subroutine */ int ccopy_(integer *, complex *, integer *,
complex *, integer *);
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *), slamch_(char *);
real realmn;
extern doublereal scasum_(integer *, complex *, integer *);
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CBDT02 tests the change of basis C = U' * B by computing the residual */
/* RESID = norm( B - U * C ) / ( max(m,n) * norm(B) * EPS ), */
/* where B and C are M by N matrices, U is an M by M orthogonal matrix, */
/* and EPS is the machine precision. */
/* Arguments */
/* ========= */
/* M (input) INTEGER */
/* The number of rows of the matrices B and C and the order of */
/* the matrix Q. */
/* N (input) INTEGER */
/* The number of columns of the matrices B and C. */
/* B (input) COMPLEX array, dimension (LDB,N) */
/* The m by n matrix B. */
/* LDB (input) INTEGER */
/* The leading dimension of the array B. LDB >= max(1,M). */
/* C (input) COMPLEX array, dimension (LDC,N) */
/* The m by n matrix C, assumed to contain U' * B. */
/* LDC (input) INTEGER */
/* The leading dimension of the array C. LDC >= max(1,M). */
/* U (input) COMPLEX array, dimension (LDU,M) */
/* The m by m orthogonal matrix U. */
/* LDU (input) INTEGER */
/* The leading dimension of the array U. LDU >= max(1,M). */
/* WORK (workspace) COMPLEX array, dimension (M) */
/* RWORK (workspace) REAL array, dimension (M) */
/* RESID (output) REAL */
/* RESID = norm( B - U * C ) / ( max(m,n) * norm(B) * EPS ), */
/* ====================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Quick return if possible */
/* Parameter adjustments */
b_dim1 = *ldb;
b_offset = 1 + b_dim1;
b -= b_offset;
c_dim1 = *ldc;
c_offset = 1 + c_dim1;
c__ -= c_offset;
u_dim1 = *ldu;
u_offset = 1 + u_dim1;
u -= u_offset;
--work;
--rwork;
/* Function Body */
*resid = 0.f;
if (*m <= 0 || *n <= 0) {
return 0;
}
realmn = (real) max(*m,*n);
eps = slamch_("Precision");
/* Compute norm( B - U * C ) */
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
ccopy_(m, &b[j * b_dim1 + 1], &c__1, &work[1], &c__1);
cgemv_("No transpose", m, m, &c_b7, &u[u_offset], ldu, &c__[j *
c_dim1 + 1], &c__1, &c_b10, &work[1], &c__1);
/* Computing MAX */
r__1 = *resid, r__2 = scasum_(m, &work[1], &c__1);
*resid = dmax(r__1,r__2);
/* L10: */
}
/* Compute norm of B. */
bnorm = clange_("1", m, n, &b[b_offset], ldb, &rwork[1]);
if (bnorm <= 0.f) {
if (*resid != 0.f) {
*resid = 1.f / eps;
}
} else {
if (bnorm >= *resid) {
*resid = *resid / bnorm / (realmn * eps);
} else {
if (bnorm < 1.f) {
/* Computing MIN */
r__1 = *resid, r__2 = realmn * bnorm;
*resid = dmin(r__1,r__2) / bnorm / (realmn * eps);
} else {
/* Computing MIN */
r__1 = *resid / bnorm;
*resid = dmin(r__1,realmn) / (realmn * eps);
}
}
}
return 0;
/* End of CBDT02 */
} /* cbdt02_ */
/* Subroutine */ int cqlt01_(integer *m, integer *n, complex *a, complex *af,
complex *q, complex *l, integer *lda, complex *tau, complex *work,
integer *lwork, real *rwork, real *result)
{
/* System generated locals */
integer a_dim1, a_offset, af_dim1, af_offset, l_dim1, l_offset, q_dim1,
q_offset, i__1, i__2;
/* Builtin functions */
/* Subroutine */ int s_copy(char *, char *, ftnlen, ftnlen);
/* Local variables */
real eps;
integer info;
extern /* Subroutine */ int cgemm_(char *, char *, integer *, integer *,
integer *, complex *, complex *, integer *, complex *, integer *,
complex *, complex *, integer *), cherk_(char *,
char *, integer *, integer *, real *, complex *, integer *, real *
, complex *, integer *);
real resid, anorm;
integer minmn;
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *);
extern /* Subroutine */ int cgeqlf_(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 *);
extern doublereal clansy_(char *, char *, integer *, complex *, integer *,
real *);
extern /* Subroutine */ int cungql_(integer *, integer *, integer *,
complex *, integer *, complex *, complex *, integer *, integer *);
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CQLT01 tests CGEQLF, which computes the QL factorization of an m-by-n */
/* matrix A, and partially tests CUNGQL which forms the m-by-m */
/* orthogonal matrix Q. */
/* CQLT01 compares L with Q'*A, and checks that Q is orthogonal. */
/* Arguments */
/* ========= */
/* M (input) INTEGER */
/* The number of rows of the matrix A. M >= 0. */
/* N (input) INTEGER */
/* The number of columns of the matrix A. N >= 0. */
/* A (input) COMPLEX array, dimension (LDA,N) */
/* The m-by-n matrix A. */
/* AF (output) COMPLEX array, dimension (LDA,N) */
/* Details of the QL factorization of A, as returned by CGEQLF. */
/* See CGEQLF for further details. */
/* Q (output) COMPLEX array, dimension (LDA,M) */
/* The m-by-m orthogonal matrix Q. */
/* L (workspace) COMPLEX array, dimension (LDA,max(M,N)) */
/* LDA (input) INTEGER */
/* The leading dimension of the arrays A, AF, Q and R. */
/* LDA >= max(M,N). */
/* TAU (output) COMPLEX array, dimension (min(M,N)) */
/* The scalar factors of the elementary reflectors, as returned */
/* by CGEQLF. */
/* WORK (workspace) COMPLEX array, dimension (LWORK) */
/* LWORK (input) INTEGER */
/* The dimension of the array WORK. */
/* RWORK (workspace) REAL array, dimension (M) */
/* RESULT (output) REAL array, dimension (2) */
/* The test ratios: */
/* RESULT(1) = norm( L - Q'*A ) / ( M * norm(A) * EPS ) */
/* RESULT(2) = norm( I - Q'*Q ) / ( M * EPS ) */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Scalars in Common .. */
/* .. */
/* .. Common blocks .. */
/* .. */
/* .. Executable Statements .. */
/* Parameter adjustments */
l_dim1 = *lda;
l_offset = 1 + l_dim1;
l -= l_offset;
q_dim1 = *lda;
q_offset = 1 + q_dim1;
q -= q_offset;
af_dim1 = *lda;
af_offset = 1 + af_dim1;
af -= af_offset;
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--tau;
--work;
--rwork;
--result;
/* Function Body */
minmn = min(*m,*n);
eps = slamch_("Epsilon");
/* Copy the matrix A to the array AF. */
clacpy_("Full", m, n, &a[a_offset], lda, &af[af_offset], lda);
/* Factorize the matrix A in the array AF. */
s_copy(srnamc_1.srnamt, "CGEQLF", (ftnlen)6, (ftnlen)6);
cgeqlf_(m, n, &af[af_offset], lda, &tau[1], &work[1], lwork, &info);
/* Copy details of Q */
claset_("Full", m, m, &c_b1, &c_b1, &q[q_offset], lda);
if (*m >= *n) {
if (*n < *m && *n > 0) {
i__1 = *m - *n;
clacpy_("Full", &i__1, n, &af[af_offset], lda, &q[(*m - *n + 1) *
q_dim1 + 1], lda);
}
if (*n > 1) {
i__1 = *n - 1;
i__2 = *n - 1;
clacpy_("Upper", &i__1, &i__2, &af[*m - *n + 1 + (af_dim1 << 1)],
lda, &q[*m - *n + 1 + (*m - *n + 2) * q_dim1], lda);
}
} else {
if (*m > 1) {
i__1 = *m - 1;
i__2 = *m - 1;
clacpy_("Upper", &i__1, &i__2, &af[(*n - *m + 2) * af_dim1 + 1],
lda, &q[(q_dim1 << 1) + 1], lda);
}
}
/* Generate the m-by-m matrix Q */
s_copy(srnamc_1.srnamt, "CUNGQL", (ftnlen)6, (ftnlen)6);
cungql_(m, m, &minmn, &q[q_offset], lda, &tau[1], &work[1], lwork, &info);
/* Copy L */
claset_("Full", m, n, &c_b12, &c_b12, &l[l_offset], lda);
if (*m >= *n) {
if (*n > 0) {
clacpy_("Lower", n, n, &af[*m - *n + 1 + af_dim1], lda, &l[*m - *
n + 1 + l_dim1], lda);
}
} else {
if (*n > *m && *m > 0) {
i__1 = *n - *m;
clacpy_("Full", m, &i__1, &af[af_offset], lda, &l[l_offset], lda);
}
if (*m > 0) {
clacpy_("Lower", m, m, &af[(*n - *m + 1) * af_dim1 + 1], lda, &l[(
*n - *m + 1) * l_dim1 + 1], lda);
}
}
/* Compute L - Q'*A */
cgemm_("Conjugate transpose", "No transpose", m, n, m, &c_b19, &q[
q_offset], lda, &a[a_offset], lda, &c_b20, &l[l_offset], lda);
/* Compute norm( L - Q'*A ) / ( M * norm(A) * EPS ) . */
anorm = clange_("1", m, n, &a[a_offset], lda, &rwork[1]);
resid = clange_("1", m, n, &l[l_offset], lda, &rwork[1]);
if (anorm > 0.f) {
result[1] = resid / (real) max(1,*m) / anorm / eps;
} else {
result[1] = 0.f;
}
/* Compute I - Q'*Q */
claset_("Full", m, m, &c_b12, &c_b20, &l[l_offset], lda);
cherk_("Upper", "Conjugate transpose", m, m, &c_b28, &q[q_offset], lda, &
c_b29, &l[l_offset], lda);
/* Compute norm( I - Q'*Q ) / ( M * EPS ) . */
resid = clansy_("1", "Upper", m, &l[l_offset], lda, &rwork[1]);
result[2] = resid / (real) max(1,*m) / eps;
return 0;
/* End of CQLT01 */
} /* cqlt01_ */
/* Subroutine */ int cdrvpb_(logical *dotype, integer *nn, integer *nval,
integer *nrhs, real *thresh, logical *tsterr, integer *nmax, complex *
a, complex *afac, complex *asav, complex *b, complex *bsav, complex *
x, complex *xact, real *s, complex *work, real *rwork, integer *nout)
{
/* Initialized data */
static integer iseedy[4] = { 1988,1989,1990,1991 };
static char facts[1*3] = "F" "N" "E";
static char equeds[1*2] = "N" "Y";
/* Format strings */
static char fmt_9999[] = "(1x,a6,\002, UPLO='\002,a1,\002', N =\002,i5"
",\002, KD =\002,i5,\002, type \002,i1,\002, test(\002,i1,\002)"
"=\002,g12.5)";
static char fmt_9997[] = "(1x,a6,\002( '\002,a1,\002', '\002,a1,\002',"
" \002,i5,\002, \002,i5,\002, ... ), EQUED='\002,a1,\002', type"
" \002,i1,\002, test(\002,i1,\002)=\002,g12.5)";
static char fmt_9998[] = "(1x,a6,\002( '\002,a1,\002', '\002,a1,\002',"
" \002,i5,\002, \002,i5,\002, ... ), type \002,i1,\002, test(\002"
",i1,\002)=\002,g12.5)";
/* System generated locals */
address a__1[2];
integer i__1, i__2, i__3, i__4, i__5, i__6, i__7[2];
char ch__1[2];
/* Builtin functions */
/* Subroutine */ int s_copy(char *, char *, ftnlen, ftnlen);
integer s_wsfe(cilist *), do_fio(integer *, char *, ftnlen), e_wsfe(void);
/* Subroutine */ int s_cat(char *, char **, integer *, integer *, ftnlen);
/* Local variables */
integer i__, k, n, i1, i2, k1, kd, nb, in, kl, iw, ku, nt, lda, ikd, nkd,
ldab;
char fact[1];
integer ioff, mode, koff;
real amax;
char path[3];
integer imat, info;
char dist[1], uplo[1], type__[1];
integer nrun, ifact;
extern /* Subroutine */ int cget04_(integer *, integer *, complex *,
integer *, complex *, integer *, real *, real *);
integer nfail, iseed[4], nfact;
extern /* Subroutine */ int cpbt01_(char *, integer *, integer *, complex
*, integer *, complex *, integer *, real *, real *),
cpbt02_(char *, integer *, integer *, integer *, complex *,
integer *, complex *, integer *, complex *, integer *, real *,
real *), cpbt05_(char *, integer *, integer *, integer *,
complex *, integer *, complex *, integer *, complex *, integer *,
complex *, integer *, real *, real *, real *);
integer kdval[4];
extern logical lsame_(char *, char *);
char equed[1];
integer nbmin;
real rcond, roldc, scond;
integer nimat;
extern doublereal sget06_(real *, real *);
real anorm;
extern /* Subroutine */ int ccopy_(integer *, complex *, integer *,
complex *, integer *), cpbsv_(char *, integer *, integer *,
integer *, complex *, integer *, complex *, integer *, integer *);
logical equil;
extern /* Subroutine */ int cswap_(integer *, complex *, integer *,
complex *, integer *);
integer iuplo, izero, nerrs;
logical zerot;
char xtype[1];
extern /* Subroutine */ int clatb4_(char *, integer *, integer *, integer
*, char *, integer *, integer *, real *, integer *, real *, char *
), aladhd_(integer *, char *);
extern doublereal clanhb_(char *, char *, integer *, integer *, complex *,
integer *, real *), clange_(char *, integer *,
integer *, complex *, integer *, real *);
extern /* Subroutine */ int claqhb_(char *, integer *, integer *, complex
*, integer *, real *, real *, real *, char *),
alaerh_(char *, char *, integer *, integer *, char *, integer *,
integer *, integer *, integer *, integer *, integer *, integer *,
integer *, integer *), claipd_(integer *,
complex *, integer *, integer *);
logical prefac;
real rcondc;
logical nofact;
char packit[1];
integer iequed;
extern /* Subroutine */ int clacpy_(char *, integer *, integer *, complex
*, integer *, complex *, integer *), clarhs_(char *, char
*, char *, char *, integer *, integer *, integer *, integer *,
integer *, complex *, integer *, complex *, integer *, complex *,
integer *, integer *, integer *),
claset_(char *, integer *, integer *, complex *, complex *,
complex *, integer *), cpbequ_(char *, integer *, integer
*, complex *, integer *, real *, real *, real *, integer *), alasvm_(char *, integer *, integer *, integer *, integer
*);
real cndnum;
extern /* Subroutine */ int clatms_(integer *, integer *, char *, integer
*, char *, real *, integer *, real *, real *, integer *, integer *
, char *, complex *, integer *, complex *, integer *), cpbtrf_(char *, integer *, integer *, complex *,
integer *, integer *);
real ainvnm;
extern /* Subroutine */ int cpbtrs_(char *, integer *, integer *, integer
*, complex *, integer *, complex *, integer *, integer *),
xlaenv_(integer *, integer *), cpbsvx_(char *, char *, integer *,
integer *, integer *, complex *, integer *, complex *, integer *,
char *, real *, complex *, integer *, complex *, integer *, real
*, real *, real *, complex *, real *, integer *), cerrvx_(char *, integer *);
real result[6];
/* Fortran I/O blocks */
static cilist io___57 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___60 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___61 = { 0, 0, 0, fmt_9998, 0 };
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CDRVPB tests the driver routines CPBSV and -SVX. */
/* Arguments */
/* ========= */
/* DOTYPE (input) LOGICAL array, dimension (NTYPES) */
/* The matrix types to be used for testing. Matrices of type j */
/* (for 1 <= j <= NTYPES) are used for testing if DOTYPE(j) = */
/* .TRUE.; if DOTYPE(j) = .FALSE., then type j is not used. */
/* NN (input) INTEGER */
/* The number of values of N contained in the vector NVAL. */
/* NVAL (input) INTEGER array, dimension (NN) */
/* The values of the matrix dimension N. */
/* NRHS (input) INTEGER */
/* The number of right hand side vectors to be generated for */
/* each linear system. */
/* THRESH (input) REAL */
/* The threshold value for the test ratios. A result is */
/* included in the output file if RESULT >= THRESH. To have */
/* every test ratio printed, use THRESH = 0. */
/* TSTERR (input) LOGICAL */
/* Flag that indicates whether error exits are to be tested. */
/* NMAX (input) INTEGER */
/* The maximum value permitted for N, used in dimensioning the */
/* work arrays. */
/* A (workspace) COMPLEX array, dimension (NMAX*NMAX) */
/* AFAC (workspace) COMPLEX array, dimension (NMAX*NMAX) */
/* ASAV (workspace) COMPLEX array, dimension (NMAX*NMAX) */
/* B (workspace) COMPLEX array, dimension (NMAX*NRHS) */
/* BSAV (workspace) COMPLEX array, dimension (NMAX*NRHS) */
/* X (workspace) COMPLEX array, dimension (NMAX*NRHS) */
/* XACT (workspace) COMPLEX array, dimension (NMAX*NRHS) */
/* S (workspace) REAL array, dimension (NMAX) */
/* WORK (workspace) COMPLEX array, dimension */
/* (NMAX*max(3,NRHS)) */
/* RWORK (workspace) REAL array, dimension (NMAX+2*NRHS) */
/* NOUT (input) INTEGER */
/* The unit number for output. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Scalars in Common .. */
/* .. */
/* .. Common blocks .. */
/* .. */
/* .. Data statements .. */
/* Parameter adjustments */
--rwork;
--work;
--s;
--xact;
--x;
--bsav;
--b;
--asav;
--afac;
--a;
--nval;
--dotype;
/* Function Body */
/* .. */
/* .. Executable Statements .. */
/* Initialize constants and the random number seed. */
s_copy(path, "Complex precision", (ftnlen)1, (ftnlen)17);
s_copy(path + 1, "PB", (ftnlen)2, (ftnlen)2);
nrun = 0;
nfail = 0;
nerrs = 0;
for (i__ = 1; i__ <= 4; ++i__) {
iseed[i__ - 1] = iseedy[i__ - 1];
/* L10: */
}
/* Test the error exits */
if (*tsterr) {
cerrvx_(path, nout);
}
infoc_1.infot = 0;
kdval[0] = 0;
/* Set the block size and minimum block size for testing. */
nb = 1;
nbmin = 2;
xlaenv_(&c__1, &nb);
xlaenv_(&c__2, &nbmin);
/* Do for each value of N in NVAL */
i__1 = *nn;
for (in = 1; in <= i__1; ++in) {
n = nval[in];
lda = max(n,1);
*(unsigned char *)xtype = 'N';
/* Set limits on the number of loop iterations. */
/* Computing MAX */
i__2 = 1, i__3 = min(n,4);
nkd = max(i__2,i__3);
nimat = 8;
if (n == 0) {
nimat = 1;
}
kdval[1] = n + (n + 1) / 4;
kdval[2] = (n * 3 - 1) / 4;
kdval[3] = (n + 1) / 4;
i__2 = nkd;
for (ikd = 1; ikd <= i__2; ++ikd) {
/* Do for KD = 0, (5*N+1)/4, (3N-1)/4, and (N+1)/4. This order */
/* makes it easier to skip redundant values for small values */
/* of N. */
kd = kdval[ikd - 1];
ldab = kd + 1;
/* Do first for UPLO = 'U', then for UPLO = 'L' */
for (iuplo = 1; iuplo <= 2; ++iuplo) {
koff = 1;
if (iuplo == 1) {
*(unsigned char *)uplo = 'U';
*(unsigned char *)packit = 'Q';
/* Computing MAX */
i__3 = 1, i__4 = kd + 2 - n;
koff = max(i__3,i__4);
} else {
*(unsigned char *)uplo = 'L';
*(unsigned char *)packit = 'B';
}
i__3 = nimat;
for (imat = 1; imat <= i__3; ++imat) {
/* Do the tests only if DOTYPE( IMAT ) is true. */
if (! dotype[imat]) {
goto L80;
}
/* Skip types 2, 3, or 4 if the matrix size is too small. */
zerot = imat >= 2 && imat <= 4;
if (zerot && n < imat - 1) {
goto L80;
}
if (! zerot || ! dotype[1]) {
/* Set up parameters with CLATB4 and generate a test */
/* matrix with CLATMS. */
clatb4_(path, &imat, &n, &n, type__, &kl, &ku, &anorm,
&mode, &cndnum, dist);
s_copy(srnamc_1.srnamt, "CLATMS", (ftnlen)6, (ftnlen)
6);
clatms_(&n, &n, dist, iseed, type__, &rwork[1], &mode,
&cndnum, &anorm, &kd, &kd, packit, &a[koff],
&ldab, &work[1], &info);
/* Check error code from CLATMS. */
if (info != 0) {
alaerh_(path, "CLATMS", &info, &c__0, uplo, &n, &
n, &c_n1, &c_n1, &c_n1, &imat, &nfail, &
nerrs, nout);
goto L80;
}
} else if (izero > 0) {
/* Use the same matrix for types 3 and 4 as for type */
/* 2 by copying back the zeroed out column, */
iw = (lda << 1) + 1;
if (iuplo == 1) {
ioff = (izero - 1) * ldab + kd + 1;
i__4 = izero - i1;
ccopy_(&i__4, &work[iw], &c__1, &a[ioff - izero +
i1], &c__1);
iw = iw + izero - i1;
i__4 = i2 - izero + 1;
/* Computing MAX */
i__6 = ldab - 1;
i__5 = max(i__6,1);
ccopy_(&i__4, &work[iw], &c__1, &a[ioff], &i__5);
} else {
ioff = (i1 - 1) * ldab + 1;
i__4 = izero - i1;
/* Computing MAX */
i__6 = ldab - 1;
i__5 = max(i__6,1);
ccopy_(&i__4, &work[iw], &c__1, &a[ioff + izero -
i1], &i__5);
ioff = (izero - 1) * ldab + 1;
iw = iw + izero - i1;
i__4 = i2 - izero + 1;
ccopy_(&i__4, &work[iw], &c__1, &a[ioff], &c__1);
}
}
/* For types 2-4, zero one row and column of the matrix */
/* to test that INFO is returned correctly. */
izero = 0;
if (zerot) {
if (imat == 2) {
izero = 1;
} else if (imat == 3) {
izero = n;
} else {
izero = n / 2 + 1;
}
/* Save the zeroed out row and column in WORK(*,3) */
iw = lda << 1;
/* Computing MIN */
i__5 = (kd << 1) + 1;
i__4 = min(i__5,n);
for (i__ = 1; i__ <= i__4; ++i__) {
i__5 = iw + i__;
work[i__5].r = 0.f, work[i__5].i = 0.f;
/* L20: */
}
++iw;
/* Computing MAX */
i__4 = izero - kd;
i1 = max(i__4,1);
/* Computing MIN */
i__4 = izero + kd;
i2 = min(i__4,n);
if (iuplo == 1) {
ioff = (izero - 1) * ldab + kd + 1;
i__4 = izero - i1;
cswap_(&i__4, &a[ioff - izero + i1], &c__1, &work[
iw], &c__1);
iw = iw + izero - i1;
i__4 = i2 - izero + 1;
/* Computing MAX */
i__6 = ldab - 1;
i__5 = max(i__6,1);
cswap_(&i__4, &a[ioff], &i__5, &work[iw], &c__1);
} else {
ioff = (i1 - 1) * ldab + 1;
i__4 = izero - i1;
/* Computing MAX */
i__6 = ldab - 1;
i__5 = max(i__6,1);
cswap_(&i__4, &a[ioff + izero - i1], &i__5, &work[
iw], &c__1);
ioff = (izero - 1) * ldab + 1;
iw = iw + izero - i1;
i__4 = i2 - izero + 1;
cswap_(&i__4, &a[ioff], &c__1, &work[iw], &c__1);
}
}
/* Set the imaginary part of the diagonals. */
if (iuplo == 1) {
claipd_(&n, &a[kd + 1], &ldab, &c__0);
} else {
claipd_(&n, &a[1], &ldab, &c__0);
}
/* Save a copy of the matrix A in ASAV. */
i__4 = kd + 1;
clacpy_("Full", &i__4, &n, &a[1], &ldab, &asav[1], &ldab);
for (iequed = 1; iequed <= 2; ++iequed) {
*(unsigned char *)equed = *(unsigned char *)&equeds[
iequed - 1];
if (iequed == 1) {
nfact = 3;
} else {
nfact = 1;
}
i__4 = nfact;
for (ifact = 1; ifact <= i__4; ++ifact) {
*(unsigned char *)fact = *(unsigned char *)&facts[
ifact - 1];
prefac = lsame_(fact, "F");
nofact = lsame_(fact, "N");
equil = lsame_(fact, "E");
if (zerot) {
if (prefac) {
goto L60;
}
rcondc = 0.f;
} else if (! lsame_(fact, "N")) {
/* Compute the condition number for comparison */
/* with the value returned by CPBSVX (FACT = */
/* 'N' reuses the condition number from the */
/* previous iteration with FACT = 'F'). */
i__5 = kd + 1;
clacpy_("Full", &i__5, &n, &asav[1], &ldab, &
afac[1], &ldab);
if (equil || iequed > 1) {
/* Compute row and column scale factors to */
/* equilibrate the matrix A. */
cpbequ_(uplo, &n, &kd, &afac[1], &ldab, &
s[1], &scond, &amax, &info);
if (info == 0 && n > 0) {
if (iequed > 1) {
scond = 0.f;
}
/* Equilibrate the matrix. */
claqhb_(uplo, &n, &kd, &afac[1], &
ldab, &s[1], &scond, &amax,
equed);
}
}
/* Save the condition number of the */
/* non-equilibrated system for use in CGET04. */
if (equil) {
roldc = rcondc;
}
/* Compute the 1-norm of A. */
anorm = clanhb_("1", uplo, &n, &kd, &afac[1],
&ldab, &rwork[1]);
/* Factor the matrix A. */
cpbtrf_(uplo, &n, &kd, &afac[1], &ldab, &info);
/* Form the inverse of A. */
claset_("Full", &n, &n, &c_b47, &c_b48, &a[1],
&lda);
s_copy(srnamc_1.srnamt, "CPBTRS", (ftnlen)6, (
ftnlen)6);
cpbtrs_(uplo, &n, &kd, &n, &afac[1], &ldab, &
a[1], &lda, &info);
/* Compute the 1-norm condition number of A. */
ainvnm = clange_("1", &n, &n, &a[1], &lda, &
rwork[1]);
if (anorm <= 0.f || ainvnm <= 0.f) {
rcondc = 1.f;
} else {
rcondc = 1.f / anorm / ainvnm;
}
}
/* Restore the matrix A. */
i__5 = kd + 1;
clacpy_("Full", &i__5, &n, &asav[1], &ldab, &a[1],
&ldab);
/* Form an exact solution and set the right hand */
/* side. */
s_copy(srnamc_1.srnamt, "CLARHS", (ftnlen)6, (
ftnlen)6);
clarhs_(path, xtype, uplo, " ", &n, &n, &kd, &kd,
nrhs, &a[1], &ldab, &xact[1], &lda, &b[1],
&lda, iseed, &info);
*(unsigned char *)xtype = 'C';
clacpy_("Full", &n, nrhs, &b[1], &lda, &bsav[1], &
lda);
if (nofact) {
/* --- Test CPBSV --- */
/* Compute the L*L' or U'*U factorization of the */
/* matrix and solve the system. */
i__5 = kd + 1;
clacpy_("Full", &i__5, &n, &a[1], &ldab, &
afac[1], &ldab);
clacpy_("Full", &n, nrhs, &b[1], &lda, &x[1],
&lda);
s_copy(srnamc_1.srnamt, "CPBSV ", (ftnlen)6, (
ftnlen)6);
cpbsv_(uplo, &n, &kd, nrhs, &afac[1], &ldab, &
x[1], &lda, &info);
/* Check error code from CPBSV . */
if (info != izero) {
alaerh_(path, "CPBSV ", &info, &izero,
uplo, &n, &n, &kd, &kd, nrhs, &
imat, &nfail, &nerrs, nout);
goto L40;
} else if (info != 0) {
goto L40;
}
/* Reconstruct matrix from factors and compute */
/* residual. */
cpbt01_(uplo, &n, &kd, &a[1], &ldab, &afac[1],
&ldab, &rwork[1], result);
/* Compute residual of the computed solution. */
clacpy_("Full", &n, nrhs, &b[1], &lda, &work[
1], &lda);
cpbt02_(uplo, &n, &kd, nrhs, &a[1], &ldab, &x[
1], &lda, &work[1], &lda, &rwork[1], &
result[1]);
/* Check solution from generated exact solution. */
cget04_(&n, nrhs, &x[1], &lda, &xact[1], &lda,
&rcondc, &result[2]);
nt = 3;
/* Print information about the tests that did */
/* not pass the threshold. */
i__5 = nt;
for (k = 1; k <= i__5; ++k) {
if (result[k - 1] >= *thresh) {
if (nfail == 0 && nerrs == 0) {
aladhd_(nout, path);
}
io___57.ciunit = *nout;
s_wsfe(&io___57);
do_fio(&c__1, "CPBSV ", (ftnlen)6);
do_fio(&c__1, uplo, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&kd, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&imat, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&k, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&result[k - 1],
(ftnlen)sizeof(real));
e_wsfe();
++nfail;
}
/* L30: */
}
nrun += nt;
L40:
;
}
/* --- Test CPBSVX --- */
if (! prefac) {
i__5 = kd + 1;
claset_("Full", &i__5, &n, &c_b47, &c_b47, &
afac[1], &ldab);
}
claset_("Full", &n, nrhs, &c_b47, &c_b47, &x[1], &
lda);
if (iequed > 1 && n > 0) {
/* Equilibrate the matrix if FACT='F' and */
/* EQUED='Y' */
claqhb_(uplo, &n, &kd, &a[1], &ldab, &s[1], &
scond, &amax, equed);
}
/* Solve the system and compute the condition */
/* number and error bounds using CPBSVX. */
s_copy(srnamc_1.srnamt, "CPBSVX", (ftnlen)6, (
ftnlen)6);
cpbsvx_(fact, uplo, &n, &kd, nrhs, &a[1], &ldab, &
afac[1], &ldab, equed, &s[1], &b[1], &lda,
&x[1], &lda, &rcond, &rwork[1], &rwork[*
nrhs + 1], &work[1], &rwork[(*nrhs << 1)
+ 1], &info);
/* Check the error code from CPBSVX. */
if (info != izero) {
/* Writing concatenation */
i__7[0] = 1, a__1[0] = fact;
i__7[1] = 1, a__1[1] = uplo;
s_cat(ch__1, a__1, i__7, &c__2, (ftnlen)2);
alaerh_(path, "CPBSVX", &info, &izero, ch__1,
&n, &n, &kd, &kd, nrhs, &imat, &nfail,
&nerrs, nout);
goto L60;
}
if (info == 0) {
if (! prefac) {
/* Reconstruct matrix from factors and */
/* compute residual. */
cpbt01_(uplo, &n, &kd, &a[1], &ldab, &
afac[1], &ldab, &rwork[(*nrhs <<
1) + 1], result);
k1 = 1;
} else {
k1 = 2;
}
/* Compute residual of the computed solution. */
clacpy_("Full", &n, nrhs, &bsav[1], &lda, &
work[1], &lda);
cpbt02_(uplo, &n, &kd, nrhs, &asav[1], &ldab,
&x[1], &lda, &work[1], &lda, &rwork[(*
nrhs << 1) + 1], &result[1]);
/* Check solution from generated exact solution. */
if (nofact || prefac && lsame_(equed, "N")) {
cget04_(&n, nrhs, &x[1], &lda, &xact[1], &
lda, &rcondc, &result[2]);
} else {
cget04_(&n, nrhs, &x[1], &lda, &xact[1], &
lda, &roldc, &result[2]);
}
/* Check the error bounds from iterative */
/* refinement. */
cpbt05_(uplo, &n, &kd, nrhs, &asav[1], &ldab,
&b[1], &lda, &x[1], &lda, &xact[1], &
lda, &rwork[1], &rwork[*nrhs + 1], &
result[3]);
} else {
k1 = 6;
}
/* Compare RCOND from CPBSVX with the computed */
/* value in RCONDC. */
result[5] = sget06_(&rcond, &rcondc);
/* Print information about the tests that did not */
/* pass the threshold. */
for (k = k1; k <= 6; ++k) {
if (result[k - 1] >= *thresh) {
if (nfail == 0 && nerrs == 0) {
aladhd_(nout, path);
}
if (prefac) {
io___60.ciunit = *nout;
s_wsfe(&io___60);
do_fio(&c__1, "CPBSVX", (ftnlen)6);
do_fio(&c__1, fact, (ftnlen)1);
do_fio(&c__1, uplo, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&kd, (ftnlen)
sizeof(integer));
do_fio(&c__1, equed, (ftnlen)1);
do_fio(&c__1, (char *)&imat, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&k, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&result[k - 1],
(ftnlen)sizeof(real));
e_wsfe();
} else {
io___61.ciunit = *nout;
s_wsfe(&io___61);
do_fio(&c__1, "CPBSVX", (ftnlen)6);
do_fio(&c__1, fact, (ftnlen)1);
do_fio(&c__1, uplo, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&kd, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&imat, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&k, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&result[k - 1],
(ftnlen)sizeof(real));
e_wsfe();
}
++nfail;
}
/* L50: */
}
nrun = nrun + 7 - k1;
L60:
;
}
/* L70: */
}
L80:
;
}
/* L90: */
}
/* L100: */
}
/* L110: */
}
/* Print a summary of the results. */
alasvm_(path, nout, &nfail, &nrun, &nerrs);
return 0;
/* End of CDRVPB */
} /* cdrvpb_ */
/* Subroutine */ int cggevx_(char *balanc, char *jobvl, char *jobvr, char *
sense, integer *n, complex *a, integer *lda, complex *b, integer *ldb,
complex *alpha, complex *beta, complex *vl, integer *ldvl, complex *
vr, integer *ldvr, integer *ilo, integer *ihi, real *lscale, real *
rscale, real *abnrm, real *bbnrm, real *rconde, real *rcondv, complex
*work, integer *lwork, real *rwork, integer *iwork, logical *bwork,
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 i__, j, m, jc, in, jr;
real eps;
logical ilv;
real anrm, bnrm;
integer ierr, itau;
real temp;
logical ilvl, ilvr;
integer iwrk, iwrk1;
extern logical lsame_(char *, char *);
integer icols;
logical noscl;
integer 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 *), 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 *);
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 *),
ctgsna_(char *, char *, logical *, integer *, complex *, integer *
, complex *, integer *, complex *, integer *, complex *, integer *
, real *, real *, integer *, integer *, complex *, integer *,
integer *, integer *);
integer ijobvl;
extern /* Subroutine */ int slascl_(char *, integer *, integer *, real *,
real *, integer *, integer *, real *, integer *, integer *), xerbla_(char *, integer *);
extern integer ilaenv_(integer *, char *, char *, integer *, integer *,
integer *, integer *);
extern doublereal slamch_(char *);
integer ijobvr;
logical wantsb;
extern /* Subroutine */ int cungqr_(integer *, integer *, integer *,
complex *, integer *, complex *, complex *, integer *, integer *);
real anrmto;
logical wantse;
real bnrmto;
extern /* Subroutine */ int cunmqr_(char *, char *, integer *, integer *,
integer *, complex *, integer *, complex *, complex *, integer *,
complex *, integer *, integer *);
integer minwrk, maxwrk;
logical wantsn;
real smlnum;
logical lquery, wantsv;
/* -- LAPACK driver routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CGGEVX 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. */
/* Optionally, it also computes a balancing transformation to improve */
/* the conditioning of the eigenvalues and eigenvectors (ILO, IHI, */
/* LSCALE, RSCALE, ABNRM, and BBNRM), reciprocal condition numbers for */
/* the eigenvalues (RCONDE), and reciprocal condition numbers for the */
/* right eigenvectors (RCONDV). */
/* 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 eigenvector v(j) corresponding to the eigenvalue lambda(j) */
/* of (A,B) satisfies */
/* A * v(j) = lambda(j) * B * v(j) . */
/* The left eigenvector u(j) corresponding to the eigenvalue 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 */
/* ========= */
/* BALANC (input) CHARACTER*1 */
/* Specifies the balance option to be performed: */
/* = 'N': do not diagonally scale or permute; */
/* = 'P': permute only; */
/* = 'S': scale only; */
/* = 'B': both permute and scale. */
/* Computed reciprocal condition numbers will be for the */
/* matrices after permuting and/or balancing. Permuting does */
/* not change condition numbers (in exact arithmetic), but */
/* balancing does. */
/* 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. */
/* SENSE (input) CHARACTER*1 */
/* Determines which reciprocal condition numbers are computed. */
/* = 'N': none are computed; */
/* = 'E': computed for eigenvalues only; */
/* = 'V': computed for eigenvectors only; */
/* = 'B': computed for eigenvalues and 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. If JOBVL='V' or JOBVR='V' */
/* or both, then A contains the first part of the complex Schur */
/* form of the "balanced" versions of the input A and B. */
/* 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. If JOBVL='V' or JOBVR='V' */
/* or both, then B contains the second part of the complex */
/* Schur form of the "balanced" versions of the input A and B. */
/* 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 quotient 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 will be scaled so the largest component */
/* will have 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 will be scaled so the largest component */
/* will have 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. */
/* ILO (output) INTEGER */
/* IHI (output) INTEGER */
/* ILO and IHI are integer values such that on exit */
/* A(i,j) = 0 and B(i,j) = 0 if i > j and */
/* j = 1,...,ILO-1 or i = IHI+1,...,N. */
/* If BALANC = 'N' or 'S', ILO = 1 and IHI = N. */
/* LSCALE (output) REAL array, dimension (N) */
/* Details of the permutations and scaling factors applied */
/* to the left side of A and B. If PL(j) is the index of the */
/* row interchanged with row j, and DL(j) is the scaling */
/* factor applied to row j, then */
/* LSCALE(j) = PL(j) for j = 1,...,ILO-1 */
/* = DL(j) for j = ILO,...,IHI */
/* = PL(j) for j = IHI+1,...,N. */
/* The order in which the interchanges are made is N to IHI+1, */
/* then 1 to ILO-1. */
/* RSCALE (output) REAL array, dimension (N) */
/* Details of the permutations and scaling factors applied */
/* to the right side of A and B. If PR(j) is the index of the */
/* column interchanged with column j, and DR(j) is the scaling */
/* factor applied to column j, then */
/* RSCALE(j) = PR(j) for j = 1,...,ILO-1 */
/* = DR(j) for j = ILO,...,IHI */
/* = PR(j) for j = IHI+1,...,N */
/* The order in which the interchanges are made is N to IHI+1, */
/* then 1 to ILO-1. */
/* ABNRM (output) REAL */
/* The one-norm of the balanced matrix A. */
/* BBNRM (output) REAL */
/* The one-norm of the balanced matrix B. */
/* RCONDE (output) REAL array, dimension (N) */
/* If SENSE = 'E' or 'B', the reciprocal condition numbers of */
/* the eigenvalues, stored in consecutive elements of the array. */
/* If SENSE = 'N' or 'V', RCONDE is not referenced. */
/* RCONDV (output) REAL array, dimension (N) */
/* If SENSE = 'V' or 'B', the estimated reciprocal condition */
/* numbers of the eigenvectors, stored in consecutive elements */
/* of the array. If the eigenvalues cannot be reordered to */
/* compute RCONDV(j), RCONDV(j) is set to 0; this can only occur */
/* when the true value would be very small anyway. */
/* If SENSE = 'N' or 'E', RCONDV is not referenced. */
/* 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). */
/* If SENSE = 'E', LWORK >= max(1,4*N). */
/* If SENSE = 'V' or 'B', LWORK >= max(1,2*N*N+2*N). */
/* 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) REAL array, dimension (lrwork) */
/* lrwork must be at least max(1,6*N) if BALANC = 'S' or 'B', */
/* and at least max(1,2*N) otherwise. */
/* Real workspace. */
/* IWORK (workspace) INTEGER array, dimension (N+2) */
/* If SENSE = 'E', IWORK is not referenced. */
/* BWORK (workspace) LOGICAL array, dimension (N) */
/* If SENSE = 'N', BWORK is not referenced. */
/* 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 than QZ iteration failed in CHGEQZ. */
/* =N+2: error return from CTGEVC. */
/* Further Details */
/* =============== */
/* Balancing a matrix pair (A,B) includes, first, permuting rows and */
/* columns to isolate eigenvalues, second, applying diagonal similarity */
/* transformation to the rows and columns to make the rows and columns */
/* as close in norm as possible. 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 4.11.1.2 of LAPACK Users' Guide. */
/* An approximate error bound on the chordal distance between the i-th */
/* computed generalized eigenvalue w and the corresponding exact */
/* eigenvalue lambda is */
/* chord(w, lambda) <= EPS * norm(ABNRM, BBNRM) / RCONDE(I) */
/* An approximate error bound for the angle between the i-th computed */
/* eigenvector VL(i) or VR(i) is given by */
/* EPS * norm(ABNRM, BBNRM) / DIF(i). */
/* For further explanation of the reciprocal condition numbers RCONDE */
/* and RCONDV, see section 4.11 of LAPACK User's Guide. */
/* .. 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;
--lscale;
--rscale;
--rconde;
--rcondv;
--work;
--rwork;
--iwork;
--bwork;
/* 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;
noscl = lsame_(balanc, "N") || lsame_(balanc, "P");
wantsn = lsame_(sense, "N");
wantse = lsame_(sense, "E");
wantsv = lsame_(sense, "V");
wantsb = lsame_(sense, "B");
/* Test the input arguments */
*info = 0;
lquery = *lwork == -1;
if (! (noscl || lsame_(balanc, "S") || lsame_(
balanc, "B"))) {
*info = -1;
} else if (ijobvl <= 0) {
*info = -2;
} else if (ijobvr <= 0) {
*info = -3;
} else if (! (wantsn || wantse || wantsb || wantsv)) {
*info = -4;
} else if (*n < 0) {
*info = -5;
} else if (*lda < max(1,*n)) {
*info = -7;
} else if (*ldb < max(1,*n)) {
*info = -9;
} else if (*ldvl < 1 || ilvl && *ldvl < *n) {
*info = -13;
} else if (*ldvr < 1 || ilvr && *ldvr < *n) {
*info = -15;
}
/* 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) {
if (*n == 0) {
minwrk = 1;
maxwrk = 1;
} else {
minwrk = *n << 1;
if (wantse) {
minwrk = *n << 2;
} else if (wantsv || wantsb) {
minwrk = (*n << 1) * (*n + 1);
}
maxwrk = minwrk;
/* Computing MAX */
i__1 = maxwrk, i__2 = *n + *n * ilaenv_(&c__1, "CGEQRF", " ", n, &
c__1, n, &c__0);
maxwrk = max(i__1,i__2);
/* Computing MAX */
i__1 = maxwrk, i__2 = *n + *n * ilaenv_(&c__1, "CUNMQR", " ", n, &
c__1, n, &c__0);
maxwrk = max(i__1,i__2);
if (ilvl) {
/* Computing MAX */
i__1 = maxwrk, i__2 = *n + *n * ilaenv_(&c__1, "CUNGQR",
" ", n, &c__1, n, &c__0);
maxwrk = max(i__1,i__2);
}
}
work[1].r = (real) maxwrk, work[1].i = 0.f;
if (*lwork < minwrk && ! lquery) {
*info = -25;
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CGGEVX", &i__1);
return 0;
} else if (lquery) {
return 0;
}
/* Quick return if possible */
if (*n == 0) {
return 0;
}
/* Get machine constants */
eps = slamch_("P");
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 and/or balance the matrix pair (A,B) */
/* (Real Workspace: need 6*N if BALANC = 'S' or 'B', 1 otherwise) */
cggbal_(balanc, n, &a[a_offset], lda, &b[b_offset], ldb, ilo, ihi, &
lscale[1], &rscale[1], &rwork[1], &ierr);
/* Compute ABNRM and BBNRM */
*abnrm = clange_("1", n, n, &a[a_offset], lda, &rwork[1]);
if (ilascl) {
rwork[1] = *abnrm;
slascl_("G", &c__0, &c__0, &anrmto, &anrm, &c__1, &c__1, &rwork[1], &
c__1, &ierr);
*abnrm = rwork[1];
}
*bbnrm = clange_("1", n, n, &b[b_offset], ldb, &rwork[1]);
if (ilbscl) {
rwork[1] = *bbnrm;
slascl_("G", &c__0, &c__0, &bnrmto, &bnrm, &c__1, &c__1, &rwork[1], &
c__1, &ierr);
*bbnrm = rwork[1];
}
/* Reduce B to triangular form (QR decomposition of B) */
/* (Complex Workspace: need N, prefer N*NB ) */
irows = *ihi + 1 - *ilo;
if (ilv || ! wantsn) {
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 unitary transformation to 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 and/or VR */
/* (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);
}
if (ilvr) {
claset_("Full", n, n, &c_b1, &c_b2, &vr[vr_offset], ldvr);
}
/* Reduce to generalized Hessenberg form */
/* (Workspace: none needed) */
if (ilv || ! wantsn) {
/* 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 forms and Schur vectors) */
/* (Complex Workspace: need N) */
/* (Real Workspace: need N) */
iwrk = itau;
if (ilv || ! wantsn) {
*(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[1], &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 L90;
}
/* Compute Eigenvectors and estimate condition numbers if desired */
/* CTGEVC: (Complex Workspace: need 2*N ) */
/* (Real Workspace: need 2*N ) */
/* CTGSNA: (Complex Workspace: need 2*N*N if SENSE='V' or 'B') */
/* (Integer Workspace: need N+2 ) */
if (ilv || ! wantsn) {
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[1], &ierr);
if (ierr != 0) {
*info = *n + 2;
goto L90;
}
}
if (! wantsn) {
/* compute eigenvectors (STGEVC) and estimate condition */
/* numbers (STGSNA). Note that the definition of the condition */
/* number is not invariant under transformation (u,v) to */
/* (Q*u, Z*v), where (u,v) are eigenvectors of the generalized */
/* Schur form (S,T), Q and Z are orthogonal matrices. In order */
/* to avoid using extra 2*N*N workspace, we have to */
/* re-calculate eigenvectors and estimate the condition numbers */
/* one at a time. */
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = *n;
for (j = 1; j <= i__2; ++j) {
bwork[j] = FALSE_;
/* L10: */
}
bwork[i__] = TRUE_;
iwrk = *n + 1;
iwrk1 = iwrk + *n;
if (wantse || wantsb) {
ctgevc_("B", "S", &bwork[1], n, &a[a_offset], lda, &b[
b_offset], ldb, &work[1], n, &work[iwrk], n, &
c__1, &m, &work[iwrk1], &rwork[1], &ierr);
if (ierr != 0) {
*info = *n + 2;
goto L90;
}
}
i__2 = *lwork - iwrk1 + 1;
ctgsna_(sense, "S", &bwork[1], n, &a[a_offset], lda, &b[
b_offset], ldb, &work[1], n, &work[iwrk], n, &rconde[
i__], &rcondv[i__], &c__1, &m, &work[iwrk1], &i__2, &
iwork[1], &ierr);
/* L20: */
}
}
}
/* Undo balancing on VL and VR and normalization */
/* (Workspace: none needed) */
if (ilvl) {
cggbak_(balanc, "L", n, ilo, ihi, &lscale[1], &rscale[1], 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);
/* L30: */
}
if (temp < smlnum) {
goto L50;
}
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;
/* L40: */
}
L50:
;
}
}
if (ilvr) {
cggbak_(balanc, "R", n, ilo, ihi, &lscale[1], &rscale[1], 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);
/* L60: */
}
if (temp < smlnum) {
goto L80;
}
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;
/* L70: */
}
L80:
;
}
}
/* 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);
}
L90:
work[1].r = (real) maxwrk, work[1].i = 0.f;
return 0;
/* End of CGGEVX */
} /* cggevx_ */
/* Subroutine */ int ctrsyl_(char *trana, char *tranb, integer *isgn, integer
*m, integer *n, complex *a, integer *lda, complex *b, integer *ldb,
complex *c__, integer *ldc, real *scale, integer *info)
{
/* -- LAPACK routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
June 30, 1999
Purpose
=======
CTRSYL solves the complex Sylvester matrix equation:
op(A)*X + X*op(B) = scale*C or
op(A)*X - X*op(B) = scale*C,
where op(A) = A or A**H, and A and B are both upper triangular. A is
M-by-M and B is N-by-N; the right hand side C and the solution X are
M-by-N; and scale is an output scale factor, set <= 1 to avoid
overflow in X.
Arguments
=========
TRANA (input) CHARACTER*1
Specifies the option op(A):
= 'N': op(A) = A (No transpose)
= 'C': op(A) = A**H (Conjugate transpose)
TRANB (input) CHARACTER*1
Specifies the option op(B):
= 'N': op(B) = B (No transpose)
= 'C': op(B) = B**H (Conjugate transpose)
ISGN (input) INTEGER
Specifies the sign in the equation:
= +1: solve op(A)*X + X*op(B) = scale*C
= -1: solve op(A)*X - X*op(B) = scale*C
M (input) INTEGER
The order of the matrix A, and the number of rows in the
matrices X and C. M >= 0.
N (input) INTEGER
The order of the matrix B, and the number of columns in the
matrices X and C. N >= 0.
A (input) COMPLEX array, dimension (LDA,M)
The upper triangular matrix A.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
B (input) COMPLEX array, dimension (LDB,N)
The upper triangular matrix B.
LDB (input) INTEGER
The leading dimension of the array B. LDB >= max(1,N).
C (input/output) COMPLEX array, dimension (LDC,N)
On entry, the M-by-N right hand side matrix C.
On exit, C is overwritten by the solution matrix X.
LDC (input) INTEGER
The leading dimension of the array C. LDC >= max(1,M)
SCALE (output) REAL
The scale factor, scale, set <= 1 to avoid overflow in X.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
= 1: A and B have common or very close eigenvalues; perturbed
values were used to solve the equation (but the matrices
A and B are unchanged).
=====================================================================
Decode and Test input parameters
Parameter adjustments */
/* Table of constant values */
static integer c__1 = 1;
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, c_dim1, c_offset, i__1, i__2,
i__3, i__4;
real r__1, r__2;
complex q__1, q__2, q__3, q__4;
/* Builtin functions */
double r_imag(complex *);
void r_cnjg(complex *, complex *);
/* Local variables */
static real smin;
static complex suml, sumr;
static integer j, k, l;
extern /* Complex */ VOID cdotc_(complex *, integer *, complex *, integer
*, complex *, integer *);
extern logical lsame_(char *, char *);
extern /* Complex */ VOID cdotu_(complex *, integer *, complex *, integer
*, complex *, integer *);
static complex a11;
static real db;
extern /* Subroutine */ int slabad_(real *, real *);
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *);
static complex x11;
extern /* Complex */ VOID cladiv_(complex *, complex *, complex *);
static real scaloc;
extern doublereal slamch_(char *);
extern /* Subroutine */ int csscal_(integer *, real *, complex *, integer
*), xerbla_(char *, integer *);
static real bignum;
static logical notrna, notrnb;
static real smlnum, da11;
static complex vec;
static real dum[1], eps, sgn;
#define a_subscr(a_1,a_2) (a_2)*a_dim1 + a_1
#define a_ref(a_1,a_2) a[a_subscr(a_1,a_2)]
#define b_subscr(a_1,a_2) (a_2)*b_dim1 + a_1
#define b_ref(a_1,a_2) b[b_subscr(a_1,a_2)]
#define c___subscr(a_1,a_2) (a_2)*c_dim1 + a_1
#define c___ref(a_1,a_2) c__[c___subscr(a_1,a_2)]
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1 * 1;
b -= b_offset;
c_dim1 = *ldc;
c_offset = 1 + c_dim1 * 1;
c__ -= c_offset;
/* Function Body */
notrna = lsame_(trana, "N");
notrnb = lsame_(tranb, "N");
*info = 0;
if (! notrna && ! lsame_(trana, "T") && ! lsame_(
trana, "C")) {
*info = -1;
} else if (! notrnb && ! lsame_(tranb, "T") && !
lsame_(tranb, "C")) {
*info = -2;
} else if (*isgn != 1 && *isgn != -1) {
*info = -3;
} else if (*m < 0) {
*info = -4;
} else if (*n < 0) {
*info = -5;
} else if (*lda < max(1,*m)) {
*info = -7;
} else if (*ldb < max(1,*n)) {
*info = -9;
} else if (*ldc < max(1,*m)) {
*info = -11;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CTRSYL", &i__1);
return 0;
}
/* Quick return if possible */
if (*m == 0 || *n == 0) {
return 0;
}
/* Set constants to control overflow */
eps = slamch_("P");
smlnum = slamch_("S");
bignum = 1.f / smlnum;
slabad_(&smlnum, &bignum);
smlnum = smlnum * (real) (*m * *n) / eps;
bignum = 1.f / smlnum;
/* Computing MAX */
r__1 = smlnum, r__2 = eps * clange_("M", m, m, &a[a_offset], lda, dum), r__1 = max(r__1,r__2), r__2 = eps * clange_("M", n, n,
&b[b_offset], ldb, dum);
smin = dmax(r__1,r__2);
*scale = 1.f;
sgn = (real) (*isgn);
if (notrna && notrnb) {
/* Solve A*X + ISGN*X*B = scale*C.
The (K,L)th block of X is determined starting from
bottom-left corner column by column by
A(K,K)*X(K,L) + ISGN*X(K,L)*B(L,L) = C(K,L) - R(K,L)
Where
M L-1
R(K,L) = SUM [A(K,I)*X(I,L)] +ISGN*SUM [X(K,J)*B(J,L)].
I=K+1 J=1 */
i__1 = *n;
for (l = 1; l <= i__1; ++l) {
for (k = *m; k >= 1; --k) {
/* Computing MIN */
i__2 = k + 1;
/* Computing MIN */
i__3 = k + 1;
i__4 = *m - k;
cdotu_(&q__1, &i__4, &a_ref(k, min(i__2,*m)), lda, &c___ref(
min(i__3,*m), l), &c__1);
suml.r = q__1.r, suml.i = q__1.i;
i__2 = l - 1;
cdotu_(&q__1, &i__2, &c___ref(k, 1), ldc, &b_ref(1, l), &c__1)
;
sumr.r = q__1.r, sumr.i = q__1.i;
i__2 = c___subscr(k, l);
q__3.r = sgn * sumr.r, q__3.i = sgn * sumr.i;
q__2.r = suml.r + q__3.r, q__2.i = suml.i + q__3.i;
q__1.r = c__[i__2].r - q__2.r, q__1.i = c__[i__2].i - q__2.i;
vec.r = q__1.r, vec.i = q__1.i;
scaloc = 1.f;
i__2 = a_subscr(k, k);
i__3 = b_subscr(l, l);
q__2.r = sgn * b[i__3].r, q__2.i = sgn * b[i__3].i;
q__1.r = a[i__2].r + q__2.r, q__1.i = a[i__2].i + q__2.i;
a11.r = q__1.r, a11.i = q__1.i;
da11 = (r__1 = a11.r, dabs(r__1)) + (r__2 = r_imag(&a11),
dabs(r__2));
if (da11 <= smin) {
a11.r = smin, a11.i = 0.f;
da11 = smin;
*info = 1;
}
db = (r__1 = vec.r, dabs(r__1)) + (r__2 = r_imag(&vec), dabs(
r__2));
if (da11 < 1.f && db > 1.f) {
if (db > bignum * da11) {
scaloc = 1.f / db;
}
}
q__3.r = scaloc, q__3.i = 0.f;
q__2.r = vec.r * q__3.r - vec.i * q__3.i, q__2.i = vec.r *
q__3.i + vec.i * q__3.r;
cladiv_(&q__1, &q__2, &a11);
x11.r = q__1.r, x11.i = q__1.i;
if (scaloc != 1.f) {
i__2 = *n;
for (j = 1; j <= i__2; ++j) {
csscal_(m, &scaloc, &c___ref(1, j), &c__1);
/* L10: */
}
*scale *= scaloc;
}
i__2 = c___subscr(k, l);
c__[i__2].r = x11.r, c__[i__2].i = x11.i;
/* L20: */
}
/* L30: */
}
} else if (! notrna && notrnb) {
/* Solve A' *X + ISGN*X*B = scale*C.
The (K,L)th block of X is determined starting from
upper-left corner column by column by
A'(K,K)*X(K,L) + ISGN*X(K,L)*B(L,L) = C(K,L) - R(K,L)
Where
K-1 L-1
R(K,L) = SUM [A'(I,K)*X(I,L)] + ISGN*SUM [X(K,J)*B(J,L)]
I=1 J=1 */
i__1 = *n;
for (l = 1; l <= i__1; ++l) {
i__2 = *m;
for (k = 1; k <= i__2; ++k) {
i__3 = k - 1;
cdotc_(&q__1, &i__3, &a_ref(1, k), &c__1, &c___ref(1, l), &
c__1);
suml.r = q__1.r, suml.i = q__1.i;
i__3 = l - 1;
cdotu_(&q__1, &i__3, &c___ref(k, 1), ldc, &b_ref(1, l), &c__1)
;
sumr.r = q__1.r, sumr.i = q__1.i;
i__3 = c___subscr(k, l);
q__3.r = sgn * sumr.r, q__3.i = sgn * sumr.i;
q__2.r = suml.r + q__3.r, q__2.i = suml.i + q__3.i;
q__1.r = c__[i__3].r - q__2.r, q__1.i = c__[i__3].i - q__2.i;
vec.r = q__1.r, vec.i = q__1.i;
scaloc = 1.f;
r_cnjg(&q__2, &a_ref(k, k));
i__3 = b_subscr(l, l);
q__3.r = sgn * b[i__3].r, q__3.i = sgn * b[i__3].i;
q__1.r = q__2.r + q__3.r, q__1.i = q__2.i + q__3.i;
a11.r = q__1.r, a11.i = q__1.i;
da11 = (r__1 = a11.r, dabs(r__1)) + (r__2 = r_imag(&a11),
dabs(r__2));
if (da11 <= smin) {
a11.r = smin, a11.i = 0.f;
da11 = smin;
*info = 1;
}
db = (r__1 = vec.r, dabs(r__1)) + (r__2 = r_imag(&vec), dabs(
r__2));
if (da11 < 1.f && db > 1.f) {
if (db > bignum * da11) {
scaloc = 1.f / db;
}
}
q__3.r = scaloc, q__3.i = 0.f;
q__2.r = vec.r * q__3.r - vec.i * q__3.i, q__2.i = vec.r *
q__3.i + vec.i * q__3.r;
cladiv_(&q__1, &q__2, &a11);
x11.r = q__1.r, x11.i = q__1.i;
if (scaloc != 1.f) {
i__3 = *n;
for (j = 1; j <= i__3; ++j) {
csscal_(m, &scaloc, &c___ref(1, j), &c__1);
/* L40: */
}
*scale *= scaloc;
}
i__3 = c___subscr(k, l);
c__[i__3].r = x11.r, c__[i__3].i = x11.i;
/* L50: */
}
/* L60: */
}
} else if (! notrna && ! notrnb) {
/* Solve A'*X + ISGN*X*B' = C.
The (K,L)th block of X is determined starting from
upper-right corner column by column by
A'(K,K)*X(K,L) + ISGN*X(K,L)*B'(L,L) = C(K,L) - R(K,L)
Where
K-1
R(K,L) = SUM [A'(I,K)*X(I,L)] +
I=1
N
ISGN*SUM [X(K,J)*B'(L,J)].
J=L+1 */
for (l = *n; l >= 1; --l) {
i__1 = *m;
for (k = 1; k <= i__1; ++k) {
i__2 = k - 1;
cdotc_(&q__1, &i__2, &a_ref(1, k), &c__1, &c___ref(1, l), &
c__1);
suml.r = q__1.r, suml.i = q__1.i;
/* Computing MIN */
i__2 = l + 1;
/* Computing MIN */
i__3 = l + 1;
i__4 = *n - l;
cdotc_(&q__1, &i__4, &c___ref(k, min(i__2,*n)), ldc, &b_ref(l,
min(i__3,*n)), ldb);
sumr.r = q__1.r, sumr.i = q__1.i;
i__2 = c___subscr(k, l);
r_cnjg(&q__4, &sumr);
q__3.r = sgn * q__4.r, q__3.i = sgn * q__4.i;
q__2.r = suml.r + q__3.r, q__2.i = suml.i + q__3.i;
q__1.r = c__[i__2].r - q__2.r, q__1.i = c__[i__2].i - q__2.i;
vec.r = q__1.r, vec.i = q__1.i;
scaloc = 1.f;
i__2 = a_subscr(k, k);
i__3 = b_subscr(l, l);
q__3.r = sgn * b[i__3].r, q__3.i = sgn * b[i__3].i;
q__2.r = a[i__2].r + q__3.r, q__2.i = a[i__2].i + q__3.i;
r_cnjg(&q__1, &q__2);
a11.r = q__1.r, a11.i = q__1.i;
da11 = (r__1 = a11.r, dabs(r__1)) + (r__2 = r_imag(&a11),
dabs(r__2));
if (da11 <= smin) {
a11.r = smin, a11.i = 0.f;
da11 = smin;
*info = 1;
}
db = (r__1 = vec.r, dabs(r__1)) + (r__2 = r_imag(&vec), dabs(
r__2));
if (da11 < 1.f && db > 1.f) {
if (db > bignum * da11) {
scaloc = 1.f / db;
}
}
q__3.r = scaloc, q__3.i = 0.f;
q__2.r = vec.r * q__3.r - vec.i * q__3.i, q__2.i = vec.r *
q__3.i + vec.i * q__3.r;
cladiv_(&q__1, &q__2, &a11);
x11.r = q__1.r, x11.i = q__1.i;
if (scaloc != 1.f) {
i__2 = *n;
for (j = 1; j <= i__2; ++j) {
csscal_(m, &scaloc, &c___ref(1, j), &c__1);
/* L70: */
}
*scale *= scaloc;
}
i__2 = c___subscr(k, l);
c__[i__2].r = x11.r, c__[i__2].i = x11.i;
/* L80: */
}
/* L90: */
}
} else if (notrna && ! notrnb) {
/* Solve A*X + ISGN*X*B' = C.
The (K,L)th block of X is determined starting from
bottom-left corner column by column by
A(K,K)*X(K,L) + ISGN*X(K,L)*B'(L,L) = C(K,L) - R(K,L)
Where
M N
R(K,L) = SUM [A(K,I)*X(I,L)] + ISGN*SUM [X(K,J)*B'(L,J)]
I=K+1 J=L+1 */
for (l = *n; l >= 1; --l) {
for (k = *m; k >= 1; --k) {
/* Computing MIN */
i__1 = k + 1;
/* Computing MIN */
i__2 = k + 1;
i__3 = *m - k;
cdotu_(&q__1, &i__3, &a_ref(k, min(i__1,*m)), lda, &c___ref(
min(i__2,*m), l), &c__1);
suml.r = q__1.r, suml.i = q__1.i;
/* Computing MIN */
i__1 = l + 1;
/* Computing MIN */
i__2 = l + 1;
i__3 = *n - l;
cdotc_(&q__1, &i__3, &c___ref(k, min(i__1,*n)), ldc, &b_ref(l,
min(i__2,*n)), ldb);
sumr.r = q__1.r, sumr.i = q__1.i;
i__1 = c___subscr(k, l);
r_cnjg(&q__4, &sumr);
q__3.r = sgn * q__4.r, q__3.i = sgn * q__4.i;
q__2.r = suml.r + q__3.r, q__2.i = suml.i + q__3.i;
q__1.r = c__[i__1].r - q__2.r, q__1.i = c__[i__1].i - q__2.i;
vec.r = q__1.r, vec.i = q__1.i;
scaloc = 1.f;
i__1 = a_subscr(k, k);
r_cnjg(&q__3, &b_ref(l, l));
q__2.r = sgn * q__3.r, q__2.i = sgn * q__3.i;
q__1.r = a[i__1].r + q__2.r, q__1.i = a[i__1].i + q__2.i;
a11.r = q__1.r, a11.i = q__1.i;
da11 = (r__1 = a11.r, dabs(r__1)) + (r__2 = r_imag(&a11),
dabs(r__2));
if (da11 <= smin) {
a11.r = smin, a11.i = 0.f;
da11 = smin;
*info = 1;
}
db = (r__1 = vec.r, dabs(r__1)) + (r__2 = r_imag(&vec), dabs(
r__2));
if (da11 < 1.f && db > 1.f) {
if (db > bignum * da11) {
scaloc = 1.f / db;
}
}
q__3.r = scaloc, q__3.i = 0.f;
q__2.r = vec.r * q__3.r - vec.i * q__3.i, q__2.i = vec.r *
q__3.i + vec.i * q__3.r;
cladiv_(&q__1, &q__2, &a11);
x11.r = q__1.r, x11.i = q__1.i;
if (scaloc != 1.f) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
csscal_(m, &scaloc, &c___ref(1, j), &c__1);
/* L100: */
}
*scale *= scaloc;
}
i__1 = c___subscr(k, l);
c__[i__1].r = x11.r, c__[i__1].i = x11.i;
/* L110: */
}
/* L120: */
}
}
return 0;
/* End of CTRSYL */
} /* ctrsyl_ */
/* 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)
{
/* -- LAPACK driver routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
June 30, 1999
Purpose
=======
This routine is deprecated and has been replaced by routine CGGEV.
CGEGV computes for a pair of N-by-N complex nonsymmetric matrices A
and B, the generalized eigenvalues (alpha, beta), and optionally,
the left and/or right generalized eigenvectors (VL and VR).
A generalized eigenvalue for a pair of matrices (A,B) is, roughly
speaking, a scalar w or a ratio alpha/beta = w, such that A - w*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. A good beginning reference is the book, "Matrix
Computations", by G. Golub & C. van Loan (Johns Hopkins U. Press)
A right generalized eigenvector corresponding to a generalized
eigenvalue w for a pair of matrices (A,B) is a vector r such
that (A - w B) r = 0 . A left generalized eigenvector is a vector
l such that l**H * (A - w B) = 0, where l**H is the
conjugate-transpose of l.
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.
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 first of the pair of matrices whose
generalized eigenvalues and (optionally) generalized
eigenvectors are to be computed.
On exit, the contents will have been destroyed. (For a
description of the contents of A on exit, see "Further
Details", below.)
LDA (input) INTEGER
The leading dimension of A. LDA >= max(1,N).
B (input/output) COMPLEX array, dimension (LDB, N)
On entry, the second of the pair of matrices whose
generalized eigenvalues and (optionally) generalized
eigenvectors are to be computed.
On exit, the contents will have been destroyed. (For a
description of the contents of B on exit, see "Further
Details", below.)
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. (See
"Purpose", above.)
Each eigenvector will be scaled so the largest component
will have abs(real part) + abs(imag. part) = 1, *except*
that for eigenvalues with alpha=beta=0, a zero vector will
be returned as the corresponding eigenvector.
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. (See
"Purpose", above.)
Each eigenvector will be scaled so the largest component
will have abs(real part) + abs(imag. part) = 1, *except*
that for eigenvalues with alpha=beta=0, a zero vector will
be returned as the corresponding eigenvector.
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 (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.
=====================================================================
Decode the input arguments
Parameter adjustments */
/* 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;
/* 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 */
static real absb, anrm, bnrm;
static integer itau;
static real temp;
static logical ilvl, ilvr;
static integer lopt;
static real anrm1, anrm2, bnrm1, bnrm2, absai, scale, absar, sbeta;
extern logical lsame_(char *, char *);
static integer ileft, iinfo, icols, iwork, irows, jc;
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 *);
static integer nb, in;
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *);
static integer jr;
extern /* Subroutine */ int cgghrd_(char *, char *, integer *, integer *,
integer *, complex *, integer *, complex *, integer *, complex *,
integer *, complex *, integer *, integer *);
static 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 *);
static 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 *);
static real safmin;
extern /* Subroutine */ int ctgevc_(char *, char *, logical *, integer *,
complex *, integer *, complex *, integer *, complex *, integer *,
complex *, integer *, integer *, integer *, complex *, real *,
integer *);
static real safmax;
static char chtemp[1];
static 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 *, ftnlen, ftnlen);
static integer ijobvl, iright;
static logical ilimit;
static integer ijobvr;
extern /* Subroutine */ int cungqr_(integer *, integer *, integer *,
complex *, integer *, complex *, complex *, integer *, integer *);
static integer lwkmin, nb1, nb2, nb3;
extern /* Subroutine */ int cunmqr_(char *, char *, integer *, integer *,
integer *, complex *, integer *, complex *, complex *, integer *,
complex *, integer *, integer *);
static integer irwork, lwkopt;
static logical lquery;
static integer ihi, ilo;
static real eps;
static logical ilv;
#define a_subscr(a_1,a_2) (a_2)*a_dim1 + a_1
#define a_ref(a_1,a_2) a[a_subscr(a_1,a_2)]
#define b_subscr(a_1,a_2) (a_2)*b_dim1 + a_1
#define b_ref(a_1,a_2) b[b_subscr(a_1,a_2)]
#define vl_subscr(a_1,a_2) (a_2)*vl_dim1 + a_1
#define vl_ref(a_1,a_2) vl[vl_subscr(a_1,a_2)]
#define vr_subscr(a_1,a_2) (a_2)*vr_dim1 + a_1
#define vr_ref(a_1,a_2) vr[vr_subscr(a_1,a_2)]
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1 * 1;
b -= b_offset;
--alpha;
--beta;
vl_dim1 = *ldvl;
vl_offset = 1 + vl_dim1 * 1;
vl -= vl_offset;
vr_dim1 = *ldvr;
vr_offset = 1 + vr_dim1 * 1;
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, (ftnlen)6, (
ftnlen)1);
nb2 = ilaenv_(&c__1, "CUNMQR", " ", n, n, n, &c_n1, (ftnlen)6, (
ftnlen)1);
nb3 = ilaenv_(&c__1, "CUNGQR", " ", n, n, n, &c_n1, (ftnlen)6, (
ftnlen)1);
/* 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_ref(ilo, ilo), 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_ref(ilo, ilo), ldb, &work[
itau], &a_ref(ilo, ilo), 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_ref(ilo + 1, ilo), ldb, &vl_ref(ilo + 1,
ilo), ldvl);
i__1 = *lwork + 1 - iwork;
cungqr_(&irows, &irows, &irows, &vl_ref(ilo, ilo), 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_ref(ilo, ilo), lda, &
b_ref(ilo, ilo), 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 = vl_subscr(jr, jc);
r__3 = temp, r__4 = (r__1 = vl[i__3].r, dabs(r__1)) + (
r__2 = r_imag(&vl_ref(jr, jc)), 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 = vl_subscr(jr, jc);
i__4 = vl_subscr(jr, jc);
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 = vr_subscr(jr, jc);
r__3 = temp, r__4 = (r__1 = vr[i__3].r, dabs(r__1)) + (
r__2 = r_imag(&vr_ref(jr, jc)), 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 = vr_subscr(jr, jc);
i__4 = vr_subscr(jr, jc);
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_ */
/* Subroutine */ int cqrt16_(char *trans, integer *m, integer *n, integer *
nrhs, complex *a, integer *lda, complex *x, integer *ldx, complex *b,
integer *ldb, real *rwork, real *resid)
{
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, x_dim1, x_offset, i__1;
real r__1, r__2;
complex q__1;
/* Local variables */
static integer j;
extern /* Subroutine */ int cgemm_(char *, char *, integer *, integer *,
integer *, complex *, complex *, integer *, complex *, integer *,
complex *, complex *, integer *);
extern logical lsame_(char *, char *);
static real anorm, bnorm;
static integer n1, n2;
static real xnorm;
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *), slamch_(char *), scasum_(
integer *, complex *, integer *);
static real eps;
#define b_subscr(a_1,a_2) (a_2)*b_dim1 + a_1
#define b_ref(a_1,a_2) b[b_subscr(a_1,a_2)]
#define x_subscr(a_1,a_2) (a_2)*x_dim1 + a_1
#define x_ref(a_1,a_2) x[x_subscr(a_1,a_2)]
/* -- LAPACK test routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
September 30, 1994
Purpose
=======
CQRT16 computes the residual for a solution of a system of linear
equations A*x = b or A'*x = b:
RESID = norm(B - A*X) / ( max(m,n) * norm(A) * norm(X) * EPS ),
where EPS is the machine epsilon.
Arguments
=========
TRANS (input) CHARACTER*1
Specifies the form of the system of equations:
= 'N': A *x = b
= 'T': A^T*x = b, where A^T is the transpose of A
= 'C': A^H*x = b, where A^H is the conjugate transpose of A
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
NRHS (input) INTEGER
The number of columns of B, the matrix of right hand sides.
NRHS >= 0.
A (input) COMPLEX array, dimension (LDA,N)
The original M x N matrix A.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
X (input) COMPLEX array, dimension (LDX,NRHS)
The computed solution vectors for the system of linear
equations.
LDX (input) INTEGER
The leading dimension of the array X. If TRANS = 'N',
LDX >= max(1,N); if TRANS = 'T' or 'C', LDX >= max(1,M).
B (input/output) COMPLEX array, dimension (LDB,NRHS)
On entry, the right hand side vectors for the system of
linear equations.
On exit, B is overwritten with the difference B - A*X.
LDB (input) INTEGER
The leading dimension of the array B. IF TRANS = 'N',
LDB >= max(1,M); if TRANS = 'T' or 'C', LDB >= max(1,N).
RWORK (workspace) REAL array, dimension (M)
RESID (output) REAL
The maximum over the number of right hand sides of
norm(B - A*X) / ( max(m,n) * norm(A) * norm(X) * EPS ).
=====================================================================
Quick exit if M = 0 or N = 0 or NRHS = 0
Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
x_dim1 = *ldx;
x_offset = 1 + x_dim1 * 1;
x -= x_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1 * 1;
b -= b_offset;
--rwork;
/* Function Body */
if (*m <= 0 || *n <= 0 || *nrhs == 0) {
*resid = 0.f;
return 0;
}
if (lsame_(trans, "T") || lsame_(trans, "C")) {
anorm = clange_("I", m, n, &a[a_offset], lda, &rwork[1]);
n1 = *n;
n2 = *m;
} else {
anorm = clange_("1", m, n, &a[a_offset], lda, &rwork[1]);
n1 = *m;
n2 = *n;
}
eps = slamch_("Epsilon");
/* Compute B - A*X (or B - A'*X ) and store in B. */
q__1.r = -1.f, q__1.i = 0.f;
cgemm_(trans, "No transpose", &n1, nrhs, &n2, &q__1, &a[a_offset], lda, &
x[x_offset], ldx, &c_b1, &b[b_offset], ldb)
;
/* Compute the maximum over the number of right hand sides of
norm(B - A*X) / ( max(m,n) * norm(A) * norm(X) * EPS ) . */
*resid = 0.f;
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
bnorm = scasum_(&n1, &b_ref(1, j), &c__1);
xnorm = scasum_(&n2, &x_ref(1, j), &c__1);
if (anorm == 0.f && bnorm == 0.f) {
*resid = 0.f;
} else if (anorm <= 0.f || xnorm <= 0.f) {
*resid = 1.f / eps;
} else {
/* Computing MAX */
r__1 = *resid, r__2 = bnorm / anorm / xnorm / (max(*m,*n) * eps);
*resid = dmax(r__1,r__2);
}
/* L10: */
}
return 0;
/* End of CQRT16 */
} /* cqrt16_ */
/* Subroutine */ int cget52_(logical *left, integer *n, complex *a, integer *
lda, complex *b, integer *ldb, complex *e, integer *lde, complex *
alpha, complex *beta, complex *work, real *rwork, real *result)
{
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, e_dim1, e_offset, i__1, i__2,
i__3;
real r__1, r__2, r__3, r__4, r__5, r__6;
complex q__1;
/* Builtin functions */
double r_imag(complex *);
void r_cnjg(complex *, complex *);
/* Local variables */
static integer jvec;
static real temp1;
static integer j;
static complex betai;
static real scale, abmax;
extern /* Subroutine */ int cgemv_(char *, integer *, integer *, complex *
, complex *, integer *, complex *, integer *, complex *, complex *
, integer *);
static real anorm, bnorm, enorm;
static char trans[1];
static complex acoeff, bcoeff;
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *);
static complex alphai;
extern doublereal slamch_(char *);
static real alfmax, safmin;
static char normab[1];
static real safmax, betmax, enrmer, errnrm, ulp;
#define e_subscr(a_1,a_2) (a_2)*e_dim1 + a_1
#define e_ref(a_1,a_2) e[e_subscr(a_1,a_2)]
/* -- LAPACK test routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
September 30, 1994
Purpose
=======
CGET52 does an eigenvector check for the generalized eigenvalue
problem.
The basic test for right eigenvectors is:
| b(i) A E(i) - a(i) B E(i) |
RESULT(1) = max -------------------------------
i n ulp max( |b(i) A|, |a(i) B| )
using the 1-norm. Here, a(i)/b(i) = w is the i-th generalized
eigenvalue of A - w B, or, equivalently, b(i)/a(i) = m is the i-th
generalized eigenvalue of m A - B.
H H _ _
For left eigenvectors, A , B , a, and b are used.
CGET52 also tests the normalization of E. Each eigenvector is
supposed to be normalized so that the maximum "absolute value"
of its elements is 1, where in this case, "absolute value"
of a complex value x is |Re(x)| + |Im(x)| ; let us call this
maximum "absolute value" norm of a vector v M(v).
if a(i)=b(i)=0, then the eigenvector is set to be the jth coordinate
vector. The normalization test is:
RESULT(2) = max | M(v(i)) - 1 | / ( n ulp )
eigenvectors v(i)
Arguments
=========
LEFT (input) LOGICAL
=.TRUE.: The eigenvectors in the columns of E are assumed
to be *left* eigenvectors.
=.FALSE.: The eigenvectors in the columns of E are assumed
to be *right* eigenvectors.
N (input) INTEGER
The size of the matrices. If it is zero, CGET52 does
nothing. It must be at least zero.
A (input) COMPLEX array, dimension (LDA, N)
The matrix A.
LDA (input) INTEGER
The leading dimension of A. It must be at least 1
and at least N.
B (input) COMPLEX array, dimension (LDB, N)
The matrix B.
LDB (input) INTEGER
The leading dimension of B. It must be at least 1
and at least N.
E (input) COMPLEX array, dimension (LDE, N)
The matrix of eigenvectors. It must be O( 1 ).
LDE (input) INTEGER
The leading dimension of E. It must be at least 1 and at
least N.
ALPHA (input) COMPLEX array, dimension (N)
The values a(i) as described above, which, along with b(i),
define the generalized eigenvalues.
BETA (input) COMPLEX array, dimension (N)
The values b(i) as described above, which, along with a(i),
define the generalized eigenvalues.
WORK (workspace) COMPLEX array, dimension (N**2)
RWORK (workspace) REAL array, dimension (N)
RESULT (output) REAL array, dimension (2)
The values computed by the test described above. If A E or
B E is likely to overflow, then RESULT(1:2) is set to
10 / ulp.
=====================================================================
Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1 * 1;
b -= b_offset;
e_dim1 = *lde;
e_offset = 1 + e_dim1 * 1;
e -= e_offset;
--alpha;
--beta;
--work;
--rwork;
--result;
/* Function Body */
result[1] = 0.f;
result[2] = 0.f;
if (*n <= 0) {
return 0;
}
safmin = slamch_("Safe minimum");
safmax = 1.f / safmin;
ulp = slamch_("Epsilon") * slamch_("Base");
if (*left) {
*(unsigned char *)trans = 'C';
*(unsigned char *)normab = 'I';
} else {
*(unsigned char *)trans = 'N';
*(unsigned char *)normab = 'O';
}
/* Norm of A, B, and E:
Computing MAX */
r__1 = clange_(normab, n, n, &a[a_offset], lda, &rwork[1]);
anorm = dmax(r__1,safmin);
/* Computing MAX */
r__1 = clange_(normab, n, n, &b[b_offset], ldb, &rwork[1]);
bnorm = dmax(r__1,safmin);
/* Computing MAX */
r__1 = clange_("O", n, n, &e[e_offset], lde, &rwork[1]);
enorm = dmax(r__1,ulp);
alfmax = safmax / dmax(1.f,bnorm);
betmax = safmax / dmax(1.f,anorm);
/* Compute error matrix.
Column i = ( b(i) A - a(i) B ) E(i) / max( |a(i) B| |b(i) A| ) */
i__1 = *n;
for (jvec = 1; jvec <= i__1; ++jvec) {
i__2 = jvec;
alphai.r = alpha[i__2].r, alphai.i = alpha[i__2].i;
i__2 = jvec;
betai.r = beta[i__2].r, betai.i = beta[i__2].i;
/* Computing MAX */
r__5 = (r__1 = alphai.r, dabs(r__1)) + (r__2 = r_imag(&alphai), dabs(
r__2)), r__6 = (r__3 = betai.r, dabs(r__3)) + (r__4 = r_imag(&
betai), dabs(r__4));
abmax = dmax(r__5,r__6);
if ((r__1 = alphai.r, dabs(r__1)) + (r__2 = r_imag(&alphai), dabs(
r__2)) > alfmax || (r__3 = betai.r, dabs(r__3)) + (r__4 =
r_imag(&betai), dabs(r__4)) > betmax || abmax < 1.f) {
scale = 1.f / dmax(abmax,safmin);
q__1.r = scale * alphai.r, q__1.i = scale * alphai.i;
alphai.r = q__1.r, alphai.i = q__1.i;
q__1.r = scale * betai.r, q__1.i = scale * betai.i;
betai.r = q__1.r, betai.i = q__1.i;
}
/* Computing MAX */
r__5 = ((r__1 = alphai.r, dabs(r__1)) + (r__2 = r_imag(&alphai), dabs(
r__2))) * bnorm, r__6 = ((r__3 = betai.r, dabs(r__3)) + (r__4
= r_imag(&betai), dabs(r__4))) * anorm, r__5 = max(r__5,r__6);
scale = 1.f / dmax(r__5,safmin);
q__1.r = scale * betai.r, q__1.i = scale * betai.i;
acoeff.r = q__1.r, acoeff.i = q__1.i;
q__1.r = scale * alphai.r, q__1.i = scale * alphai.i;
bcoeff.r = q__1.r, bcoeff.i = q__1.i;
if (*left) {
r_cnjg(&q__1, &acoeff);
acoeff.r = q__1.r, acoeff.i = q__1.i;
r_cnjg(&q__1, &bcoeff);
bcoeff.r = q__1.r, bcoeff.i = q__1.i;
}
cgemv_(trans, n, n, &acoeff, &a[a_offset], lda, &e_ref(1, jvec), &
c__1, &c_b1, &work[*n * (jvec - 1) + 1], &c__1);
q__1.r = -bcoeff.r, q__1.i = -bcoeff.i;
cgemv_(trans, n, n, &q__1, &b[b_offset], lda, &e_ref(1, jvec), &c__1,
&c_b2, &work[*n * (jvec - 1) + 1], &c__1);
/* L10: */
}
errnrm = clange_("One", n, n, &work[1], n, &rwork[1]) / enorm;
/* Compute RESULT(1) */
result[1] = errnrm / ulp;
/* Normalization of E: */
enrmer = 0.f;
i__1 = *n;
for (jvec = 1; jvec <= i__1; ++jvec) {
temp1 = 0.f;
i__2 = *n;
for (j = 1; j <= i__2; ++j) {
/* Computing MAX */
i__3 = e_subscr(j, jvec);
r__3 = temp1, r__4 = (r__1 = e[i__3].r, dabs(r__1)) + (r__2 =
r_imag(&e_ref(j, jvec)), dabs(r__2));
temp1 = dmax(r__3,r__4);
/* L20: */
}
/* Computing MAX */
r__1 = enrmer, r__2 = temp1 - 1.f;
enrmer = dmax(r__1,r__2);
/* L30: */
}
/* Compute RESULT(2) : the normalization error in E. */
result[2] = enrmer / ((real) (*n) * ulp);
return 0;
/* End of CGET52 */
} /* cget52_ */
/* Subroutine */ int cgesvx_(char *fact, char *trans, integer *n, integer *
nrhs, complex *a, integer *lda, complex *af, integer *ldaf, integer *
ipiv, char *equed, real *r__, real *c__, complex *b, integer *ldb,
complex *x, integer *ldx, real *rcond, real *ferr, real *berr,
complex *work, real *rwork, integer *info)
{
/* System generated locals */
integer a_dim1, a_offset, af_dim1, af_offset, b_dim1, b_offset, x_dim1,
x_offset, i__1, i__2, i__3, i__4, i__5;
real r__1, r__2;
complex q__1;
/* Local variables */
integer i__, j;
real amax;
char norm[1];
extern logical lsame_(char *, char *);
real rcmin, rcmax, anorm;
logical equil;
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *);
extern /* Subroutine */ int claqge_(integer *, integer *, complex *,
integer *, real *, real *, real *, real *, real *, char *)
, cgecon_(char *, integer *, complex *, integer *, real *, real *,
complex *, real *, integer *);
real colcnd;
extern doublereal slamch_(char *);
extern /* Subroutine */ int cgeequ_(integer *, integer *, complex *,
integer *, real *, real *, real *, real *, real *, integer *);
logical nofact;
extern /* Subroutine */ int cgerfs_(char *, integer *, integer *, complex
*, integer *, complex *, integer *, integer *, complex *, integer
*, complex *, integer *, real *, real *, complex *, real *,
integer *), cgetrf_(integer *, integer *, complex *,
integer *, integer *, integer *), clacpy_(char *, integer *,
integer *, complex *, integer *, complex *, integer *),
xerbla_(char *, integer *);
real bignum;
extern doublereal clantr_(char *, char *, char *, integer *, integer *,
complex *, integer *, real *);
integer infequ;
logical colequ;
extern /* Subroutine */ int cgetrs_(char *, integer *, integer *, complex
*, integer *, integer *, complex *, integer *, integer *);
real rowcnd;
logical notran;
real smlnum;
logical rowequ;
real rpvgrw;
/* -- LAPACK driver routine (version 3.2) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CGESVX uses the LU factorization to compute the solution to a complex */
/* system of linear equations */
/* A * X = B, */
/* where A is an N-by-N matrix and X and B are N-by-NRHS matrices. */
/* Error bounds on the solution and a condition estimate are also */
/* provided. */
/* Description */
/* =========== */
/* The following steps are performed: */
/* 1. If FACT = 'E', real scaling factors are computed to equilibrate */
/* the system: */
/* TRANS = 'N': diag(R)*A*diag(C) *inv(diag(C))*X = diag(R)*B */
/* TRANS = 'T': (diag(R)*A*diag(C))**T *inv(diag(R))*X = diag(C)*B */
/* TRANS = 'C': (diag(R)*A*diag(C))**H *inv(diag(R))*X = diag(C)*B */
/* Whether or not the system will be equilibrated depends on the */
/* scaling of the matrix A, but if equilibration is used, A is */
/* overwritten by diag(R)*A*diag(C) and B by diag(R)*B (if TRANS='N') */
/* or diag(C)*B (if TRANS = 'T' or 'C'). */
/* 2. If FACT = 'N' or 'E', the LU decomposition is used to factor the */
/* matrix A (after equilibration if FACT = 'E') as */
/* A = P * L * U, */
/* where P is a permutation matrix, L is a unit lower triangular */
/* matrix, and U is upper triangular. */
/* 3. If some U(i,i)=0, so that U is exactly singular, then the routine */
/* returns with INFO = i. Otherwise, the factored form of A is used */
/* to estimate the condition number of the matrix A. If the */
/* reciprocal of the condition number is less than machine precision, */
/* INFO = N+1 is returned as a warning, but the routine still goes on */
/* to solve for X and compute error bounds as described below. */
/* 4. The system of equations is solved for X using the factored form */
/* of A. */
/* 5. Iterative refinement is applied to improve the computed solution */
/* matrix and calculate error bounds and backward error estimates */
/* for it. */
/* 6. If equilibration was used, the matrix X is premultiplied by */
/* diag(C) (if TRANS = 'N') or diag(R) (if TRANS = 'T' or 'C') so */
/* that it solves the original system before equilibration. */
/* Arguments */
/* ========= */
/* FACT (input) CHARACTER*1 */
/* Specifies whether or not the factored form of the matrix A is */
/* supplied on entry, and if not, whether the matrix A should be */
/* equilibrated before it is factored. */
/* = 'F': On entry, AF and IPIV contain the factored form of A. */
/* If EQUED is not 'N', the matrix A has been */
/* equilibrated with scaling factors given by R and C. */
/* A, AF, and IPIV are not modified. */
/* = 'N': The matrix A will be copied to AF and factored. */
/* = 'E': The matrix A will be equilibrated if necessary, then */
/* copied to AF and factored. */
/* TRANS (input) CHARACTER*1 */
/* Specifies the form of the system of equations: */
/* = 'N': A * X = B (No transpose) */
/* = 'T': A**T * X = B (Transpose) */
/* = 'C': A**H * X = B (Conjugate transpose) */
/* N (input) INTEGER */
/* The number of linear equations, i.e., the order of the */
/* matrix A. N >= 0. */
/* NRHS (input) INTEGER */
/* The number of right hand sides, i.e., the number of columns */
/* of the matrices B and X. NRHS >= 0. */
/* A (input/output) COMPLEX array, dimension (LDA,N) */
/* On entry, the N-by-N matrix A. If FACT = 'F' and EQUED is */
/* not 'N', then A must have been equilibrated by the scaling */
/* factors in R and/or C. A is not modified if FACT = 'F' or */
/* 'N', or if FACT = 'E' and EQUED = 'N' on exit. */
/* On exit, if EQUED .ne. 'N', A is scaled as follows: */
/* EQUED = 'R': A := diag(R) * A */
/* EQUED = 'C': A := A * diag(C) */
/* EQUED = 'B': A := diag(R) * A * diag(C). */
/* LDA (input) INTEGER */
/* The leading dimension of the array A. LDA >= max(1,N). */
/* AF (input or output) COMPLEX array, dimension (LDAF,N) */
/* If FACT = 'F', then AF is an input argument and on entry */
/* contains the factors L and U from the factorization */
/* A = P*L*U as computed by CGETRF. If EQUED .ne. 'N', then */
/* AF is the factored form of the equilibrated matrix A. */
/* If FACT = 'N', then AF is an output argument and on exit */
/* returns the factors L and U from the factorization A = P*L*U */
/* of the original matrix A. */
/* If FACT = 'E', then AF is an output argument and on exit */
/* returns the factors L and U from the factorization A = P*L*U */
/* of the equilibrated matrix A (see the description of A for */
/* the form of the equilibrated matrix). */
/* LDAF (input) INTEGER */
/* The leading dimension of the array AF. LDAF >= max(1,N). */
/* IPIV (input or output) INTEGER array, dimension (N) */
/* If FACT = 'F', then IPIV is an input argument and on entry */
/* contains the pivot indices from the factorization A = P*L*U */
/* as computed by CGETRF; row i of the matrix was interchanged */
/* with row IPIV(i). */
/* If FACT = 'N', then IPIV is an output argument and on exit */
/* contains the pivot indices from the factorization A = P*L*U */
/* of the original matrix A. */
/* If FACT = 'E', then IPIV is an output argument and on exit */
/* contains the pivot indices from the factorization A = P*L*U */
/* of the equilibrated matrix A. */
/* EQUED (input or output) CHARACTER*1 */
/* Specifies the form of equilibration that was done. */
/* = 'N': No equilibration (always true if FACT = 'N'). */
/* = 'R': Row equilibration, i.e., A has been premultiplied by */
/* diag(R). */
/* = 'C': Column equilibration, i.e., A has been postmultiplied */
/* by diag(C). */
/* = 'B': Both row and column equilibration, i.e., A has been */
/* replaced by diag(R) * A * diag(C). */
/* EQUED is an input argument if FACT = 'F'; otherwise, it is an */
/* output argument. */
/* R (input or output) REAL array, dimension (N) */
/* The row scale factors for A. If EQUED = 'R' or 'B', A is */
/* multiplied on the left by diag(R); if EQUED = 'N' or 'C', R */
/* is not accessed. R is an input argument if FACT = 'F'; */
/* otherwise, R is an output argument. If FACT = 'F' and */
/* EQUED = 'R' or 'B', each element of R must be positive. */
/* C (input or output) REAL array, dimension (N) */
/* The column scale factors for A. If EQUED = 'C' or 'B', A is */
/* multiplied on the right by diag(C); if EQUED = 'N' or 'R', C */
/* is not accessed. C is an input argument if FACT = 'F'; */
/* otherwise, C is an output argument. If FACT = 'F' and */
/* EQUED = 'C' or 'B', each element of C must be positive. */
/* B (input/output) COMPLEX array, dimension (LDB,NRHS) */
/* On entry, the N-by-NRHS right hand side matrix B. */
/* On exit, */
/* if EQUED = 'N', B is not modified; */
/* if TRANS = 'N' and EQUED = 'R' or 'B', B is overwritten by */
/* diag(R)*B; */
/* if TRANS = 'T' or 'C' and EQUED = 'C' or 'B', B is */
/* overwritten by diag(C)*B. */
/* LDB (input) INTEGER */
/* The leading dimension of the array B. LDB >= max(1,N). */
/* X (output) COMPLEX array, dimension (LDX,NRHS) */
/* If INFO = 0 or INFO = N+1, the N-by-NRHS solution matrix X */
/* to the original system of equations. Note that A and B are */
/* modified on exit if EQUED .ne. 'N', and the solution to the */
/* equilibrated system is inv(diag(C))*X if TRANS = 'N' and */
/* EQUED = 'C' or 'B', or inv(diag(R))*X if TRANS = 'T' or 'C' */
/* and EQUED = 'R' or 'B'. */
/* LDX (input) INTEGER */
/* The leading dimension of the array X. LDX >= max(1,N). */
/* RCOND (output) REAL */
/* The estimate of the reciprocal condition number of the matrix */
/* A after equilibration (if done). If RCOND is less than the */
/* machine precision (in particular, if RCOND = 0), the matrix */
/* is singular to working precision. This condition is */
/* indicated by a return code of INFO > 0. */
/* FERR (output) REAL array, dimension (NRHS) */
/* The estimated forward error bound for each solution vector */
/* X(j) (the j-th column of the solution matrix X). */
/* If XTRUE is the true solution corresponding to X(j), FERR(j) */
/* is an estimated upper bound for the magnitude of the largest */
/* element in (X(j) - XTRUE) divided by the magnitude of the */
/* largest element in X(j). The estimate is as reliable as */
/* the estimate for RCOND, and is almost always a slight */
/* overestimate of the true error. */
/* BERR (output) REAL array, dimension (NRHS) */
/* The componentwise relative backward error of each solution */
/* vector X(j) (i.e., the smallest relative change in */
/* any element of A or B that makes X(j) an exact solution). */
/* WORK (workspace) COMPLEX array, dimension (2*N) */
/* RWORK (workspace/output) REAL array, dimension (2*N) */
/* On exit, RWORK(1) contains the reciprocal pivot growth */
/* factor norm(A)/norm(U). The "max absolute element" norm is */
/* used. If RWORK(1) is much less than 1, then the stability */
/* of the LU factorization of the (equilibrated) matrix A */
/* could be poor. This also means that the solution X, condition */
/* estimator RCOND, and forward error bound FERR could be */
/* unreliable. If factorization fails with 0<INFO<=N, then */
/* RWORK(1) contains the reciprocal pivot growth factor for the */
/* leading INFO columns of A. */
/* INFO (output) INTEGER */
/* = 0: successful exit */
/* < 0: if INFO = -i, the i-th argument had an illegal value */
/* > 0: if INFO = i, and i is */
/* <= N: U(i,i) is exactly zero. The factorization has */
/* been completed, but the factor U is exactly */
/* singular, so the solution and error bounds */
/* could not be computed. RCOND = 0 is returned. */
/* = N+1: U is nonsingular, but RCOND is less than machine */
/* precision, meaning that the matrix is singular */
/* to working precision. Nevertheless, the */
/* solution and error bounds are computed because */
/* there are a number of situations where the */
/* computed solution can be more accurate than the */
/* value of RCOND would suggest. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
af_dim1 = *ldaf;
af_offset = 1 + af_dim1;
af -= af_offset;
--ipiv;
--r__;
--c__;
b_dim1 = *ldb;
b_offset = 1 + b_dim1;
b -= b_offset;
x_dim1 = *ldx;
x_offset = 1 + x_dim1;
x -= x_offset;
--ferr;
--berr;
--work;
--rwork;
/* Function Body */
*info = 0;
nofact = lsame_(fact, "N");
equil = lsame_(fact, "E");
notran = lsame_(trans, "N");
if (nofact || equil) {
*(unsigned char *)equed = 'N';
rowequ = FALSE_;
colequ = FALSE_;
} else {
rowequ = lsame_(equed, "R") || lsame_(equed,
"B");
colequ = lsame_(equed, "C") || lsame_(equed,
"B");
smlnum = slamch_("Safe minimum");
bignum = 1.f / smlnum;
}
/* Test the input parameters. */
if (! nofact && ! equil && ! lsame_(fact, "F")) {
*info = -1;
} else if (! notran && ! lsame_(trans, "T") && !
lsame_(trans, "C")) {
*info = -2;
} else if (*n < 0) {
*info = -3;
} else if (*nrhs < 0) {
*info = -4;
} else if (*lda < max(1,*n)) {
*info = -6;
} else if (*ldaf < max(1,*n)) {
*info = -8;
} else if (lsame_(fact, "F") && ! (rowequ || colequ
|| lsame_(equed, "N"))) {
*info = -10;
} else {
if (rowequ) {
rcmin = bignum;
rcmax = 0.f;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
/* Computing MIN */
r__1 = rcmin, r__2 = r__[j];
rcmin = dmin(r__1,r__2);
/* Computing MAX */
r__1 = rcmax, r__2 = r__[j];
rcmax = dmax(r__1,r__2);
/* L10: */
}
if (rcmin <= 0.f) {
*info = -11;
} else if (*n > 0) {
rowcnd = dmax(rcmin,smlnum) / dmin(rcmax,bignum);
} else {
rowcnd = 1.f;
}
}
if (colequ && *info == 0) {
rcmin = bignum;
rcmax = 0.f;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
/* Computing MIN */
r__1 = rcmin, r__2 = c__[j];
rcmin = dmin(r__1,r__2);
/* Computing MAX */
r__1 = rcmax, r__2 = c__[j];
rcmax = dmax(r__1,r__2);
/* L20: */
}
if (rcmin <= 0.f) {
*info = -12;
} else if (*n > 0) {
colcnd = dmax(rcmin,smlnum) / dmin(rcmax,bignum);
} else {
colcnd = 1.f;
}
}
if (*info == 0) {
if (*ldb < max(1,*n)) {
*info = -14;
} else if (*ldx < max(1,*n)) {
*info = -16;
}
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CGESVX", &i__1);
return 0;
}
if (equil) {
/* Compute row and column scalings to equilibrate the matrix A. */
cgeequ_(n, n, &a[a_offset], lda, &r__[1], &c__[1], &rowcnd, &colcnd, &
amax, &infequ);
if (infequ == 0) {
/* Equilibrate the matrix. */
claqge_(n, n, &a[a_offset], lda, &r__[1], &c__[1], &rowcnd, &
colcnd, &amax, equed);
rowequ = lsame_(equed, "R") || lsame_(equed,
"B");
colequ = lsame_(equed, "C") || lsame_(equed,
"B");
}
}
/* Scale the right hand side. */
if (notran) {
if (rowequ) {
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * b_dim1;
i__4 = i__;
i__5 = i__ + j * b_dim1;
q__1.r = r__[i__4] * b[i__5].r, q__1.i = r__[i__4] * b[
i__5].i;
b[i__3].r = q__1.r, b[i__3].i = q__1.i;
/* L30: */
}
/* L40: */
}
}
} else if (colequ) {
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * b_dim1;
i__4 = i__;
i__5 = i__ + j * b_dim1;
q__1.r = c__[i__4] * b[i__5].r, q__1.i = c__[i__4] * b[i__5]
.i;
b[i__3].r = q__1.r, b[i__3].i = q__1.i;
/* L50: */
}
/* L60: */
}
}
if (nofact || equil) {
/* Compute the LU factorization of A. */
clacpy_("Full", n, n, &a[a_offset], lda, &af[af_offset], ldaf);
cgetrf_(n, n, &af[af_offset], ldaf, &ipiv[1], info);
/* Return if INFO is non-zero. */
if (*info > 0) {
/* Compute the reciprocal pivot growth factor of the */
/* leading rank-deficient INFO columns of A. */
rpvgrw = clantr_("M", "U", "N", info, info, &af[af_offset], ldaf,
&rwork[1]);
if (rpvgrw == 0.f) {
rpvgrw = 1.f;
} else {
rpvgrw = clange_("M", n, info, &a[a_offset], lda, &rwork[1]) / rpvgrw;
}
rwork[1] = rpvgrw;
*rcond = 0.f;
return 0;
}
}
/* Compute the norm of the matrix A and the */
/* reciprocal pivot growth factor RPVGRW. */
if (notran) {
*(unsigned char *)norm = '1';
} else {
*(unsigned char *)norm = 'I';
}
anorm = clange_(norm, n, n, &a[a_offset], lda, &rwork[1]);
rpvgrw = clantr_("M", "U", "N", n, n, &af[af_offset], ldaf, &rwork[1]);
if (rpvgrw == 0.f) {
rpvgrw = 1.f;
} else {
rpvgrw = clange_("M", n, n, &a[a_offset], lda, &rwork[1]) /
rpvgrw;
}
/* Compute the reciprocal of the condition number of A. */
cgecon_(norm, n, &af[af_offset], ldaf, &anorm, rcond, &work[1], &rwork[1],
info);
/* Compute the solution matrix X. */
clacpy_("Full", n, nrhs, &b[b_offset], ldb, &x[x_offset], ldx);
cgetrs_(trans, n, nrhs, &af[af_offset], ldaf, &ipiv[1], &x[x_offset], ldx,
info);
/* Use iterative refinement to improve the computed solution and */
/* compute error bounds and backward error estimates for it. */
cgerfs_(trans, n, nrhs, &a[a_offset], lda, &af[af_offset], ldaf, &ipiv[1],
&b[b_offset], ldb, &x[x_offset], ldx, &ferr[1], &berr[1], &work[
1], &rwork[1], info);
/* Transform the solution matrix X to a solution of the original */
/* system. */
if (notran) {
if (colequ) {
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * x_dim1;
i__4 = i__;
i__5 = i__ + j * x_dim1;
q__1.r = c__[i__4] * x[i__5].r, q__1.i = c__[i__4] * x[
i__5].i;
x[i__3].r = q__1.r, x[i__3].i = q__1.i;
/* L70: */
}
/* L80: */
}
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
ferr[j] /= colcnd;
/* L90: */
}
}
} else if (rowequ) {
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = i__ + j * x_dim1;
i__4 = i__;
i__5 = i__ + j * x_dim1;
q__1.r = r__[i__4] * x[i__5].r, q__1.i = r__[i__4] * x[i__5]
.i;
x[i__3].r = q__1.r, x[i__3].i = q__1.i;
/* L100: */
}
/* L110: */
}
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
ferr[j] /= rowcnd;
/* L120: */
}
}
/* Set INFO = N+1 if the matrix is singular to working precision. */
if (*rcond < slamch_("Epsilon")) {
*info = *n + 1;
}
rwork[1] = rpvgrw;
return 0;
/* End of CGESVX */
} /* cgesvx_ */
/* Subroutine */ int cqlt01_(integer *m, integer *n, complex *a, complex *af,
complex *q, complex *l, integer *lda, complex *tau, complex *work,
integer *lwork, real *rwork, real *result)
{
/* System generated locals */
integer a_dim1, a_offset, af_dim1, af_offset, l_dim1, l_offset, q_dim1,
q_offset, i__1, i__2;
/* Builtin functions
Subroutine */ int s_copy(char *, char *, ftnlen, ftnlen);
/* Local variables */
static integer info;
extern /* Subroutine */ int cgemm_(char *, char *, integer *, integer *,
integer *, complex *, complex *, integer *, complex *, integer *,
complex *, complex *, integer *), cherk_(char *,
char *, integer *, integer *, real *, complex *, integer *, real *
, complex *, integer *);
static real resid, anorm;
static integer minmn;
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *);
extern /* Subroutine */ int cgeqlf_(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 *);
extern doublereal clansy_(char *, char *, integer *, complex *, integer *,
real *);
extern /* Subroutine */ int cungql_(integer *, integer *, integer *,
complex *, integer *, complex *, complex *, integer *, integer *);
static real eps;
#define l_subscr(a_1,a_2) (a_2)*l_dim1 + a_1
#define l_ref(a_1,a_2) l[l_subscr(a_1,a_2)]
#define q_subscr(a_1,a_2) (a_2)*q_dim1 + a_1
#define q_ref(a_1,a_2) q[q_subscr(a_1,a_2)]
#define af_subscr(a_1,a_2) (a_2)*af_dim1 + a_1
#define af_ref(a_1,a_2) af[af_subscr(a_1,a_2)]
/* -- LAPACK test routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
September 30, 1994
Purpose
=======
CQLT01 tests CGEQLF, which computes the QL factorization of an m-by-n
matrix A, and partially tests CUNGQL which forms the m-by-m
orthogonal matrix Q.
CQLT01 compares L with Q'*A, and checks that Q is orthogonal.
Arguments
=========
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
A (input) COMPLEX array, dimension (LDA,N)
The m-by-n matrix A.
AF (output) COMPLEX array, dimension (LDA,N)
Details of the QL factorization of A, as returned by CGEQLF.
See CGEQLF for further details.
Q (output) COMPLEX array, dimension (LDA,M)
The m-by-m orthogonal matrix Q.
L (workspace) COMPLEX array, dimension (LDA,max(M,N))
LDA (input) INTEGER
The leading dimension of the arrays A, AF, Q and R.
LDA >= max(M,N).
TAU (output) COMPLEX array, dimension (min(M,N))
The scalar factors of the elementary reflectors, as returned
by CGEQLF.
WORK (workspace) COMPLEX array, dimension (LWORK)
LWORK (input) INTEGER
The dimension of the array WORK.
RWORK (workspace) REAL array, dimension (M)
RESULT (output) REAL array, dimension (2)
The test ratios:
RESULT(1) = norm( L - Q'*A ) / ( M * norm(A) * EPS )
RESULT(2) = norm( I - Q'*Q ) / ( M * EPS )
=====================================================================
Parameter adjustments */
l_dim1 = *lda;
l_offset = 1 + l_dim1 * 1;
l -= l_offset;
q_dim1 = *lda;
q_offset = 1 + q_dim1 * 1;
q -= q_offset;
af_dim1 = *lda;
af_offset = 1 + af_dim1 * 1;
af -= af_offset;
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
--tau;
--work;
--rwork;
--result;
/* Function Body */
minmn = min(*m,*n);
eps = slamch_("Epsilon");
/* Copy the matrix A to the array AF. */
clacpy_("Full", m, n, &a[a_offset], lda, &af[af_offset], lda);
/* Factorize the matrix A in the array AF. */
s_copy(srnamc_1.srnamt, "CGEQLF", (ftnlen)6, (ftnlen)6);
cgeqlf_(m, n, &af[af_offset], lda, &tau[1], &work[1], lwork, &info);
/* Copy details of Q */
claset_("Full", m, m, &c_b1, &c_b1, &q[q_offset], lda);
if (*m >= *n) {
if (*n < *m && *n > 0) {
i__1 = *m - *n;
clacpy_("Full", &i__1, n, &af[af_offset], lda, &q_ref(1, *m - *n
+ 1), lda);
}
if (*n > 1) {
i__1 = *n - 1;
i__2 = *n - 1;
clacpy_("Upper", &i__1, &i__2, &af_ref(*m - *n + 1, 2), lda, &
q_ref(*m - *n + 1, *m - *n + 2), lda);
}
} else {
if (*m > 1) {
i__1 = *m - 1;
i__2 = *m - 1;
clacpy_("Upper", &i__1, &i__2, &af_ref(1, *n - *m + 2), lda, &
q_ref(1, 2), lda);
}
}
/* Generate the m-by-m matrix Q */
s_copy(srnamc_1.srnamt, "CUNGQL", (ftnlen)6, (ftnlen)6);
cungql_(m, m, &minmn, &q[q_offset], lda, &tau[1], &work[1], lwork, &info);
/* Copy L */
claset_("Full", m, n, &c_b12, &c_b12, &l[l_offset], lda);
if (*m >= *n) {
if (*n > 0) {
clacpy_("Lower", n, n, &af_ref(*m - *n + 1, 1), lda, &l_ref(*m - *
n + 1, 1), lda);
}
} else {
if (*n > *m && *m > 0) {
i__1 = *n - *m;
clacpy_("Full", m, &i__1, &af[af_offset], lda, &l[l_offset], lda);
}
if (*m > 0) {
clacpy_("Lower", m, m, &af_ref(1, *n - *m + 1), lda, &l_ref(1, *n
- *m + 1), lda);
}
}
/* Compute L - Q'*A */
cgemm_("Conjugate transpose", "No transpose", m, n, m, &c_b19, &q[
q_offset], lda, &a[a_offset], lda, &c_b20, &l[l_offset], lda);
/* Compute norm( L - Q'*A ) / ( M * norm(A) * EPS ) . */
anorm = clange_("1", m, n, &a[a_offset], lda, &rwork[1]);
resid = clange_("1", m, n, &l[l_offset], lda, &rwork[1]);
if (anorm > 0.f) {
result[1] = resid / (real) max(1,*m) / anorm / eps;
} else {
result[1] = 0.f;
}
/* Compute I - Q'*Q */
claset_("Full", m, m, &c_b12, &c_b20, &l[l_offset], lda);
cherk_("Upper", "Conjugate transpose", m, m, &c_b28, &q[q_offset], lda, &
c_b29, &l[l_offset], lda);
/* Compute norm( I - Q'*Q ) / ( M * EPS ) . */
resid = clansy_("1", "Upper", m, &l[l_offset], lda, &rwork[1]);
result[2] = resid / (real) max(1,*m) / eps;
return 0;
/* End of CQLT01 */
} /* cqlt01_ */
/* Subroutine */ int clqt03_(integer *m, integer *n, integer *k, complex *af,
complex *c__, complex *cc, complex *q, integer *lda, complex *tau,
complex *work, integer *lwork, real *rwork, real *result)
{
/* Initialized data */
static integer iseed[4] = { 1988,1989,1990,1991 };
/* System generated locals */
integer af_dim1, af_offset, c_dim1, c_offset, cc_dim1, cc_offset, q_dim1,
q_offset, i__1;
/* Builtin functions
Subroutine */ int s_copy(char *, char *, ftnlen, ftnlen);
/* Local variables */
static char side[1];
static integer info, j;
extern /* Subroutine */ int cgemm_(char *, char *, integer *, integer *,
integer *, complex *, complex *, integer *, complex *, integer *,
complex *, complex *, integer *);
static integer iside;
extern logical lsame_(char *, char *);
static real resid, cnorm;
static char trans[1];
static integer mc, nc;
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *), slamch_(char *);
extern /* Subroutine */ int clacpy_(char *, integer *, integer *, complex
*, integer *, complex *, integer *), claset_(char *,
integer *, integer *, complex *, complex *, complex *, integer *), clarnv_(integer *, integer *, integer *, complex *),
cunglq_(integer *, integer *, integer *, complex *, integer *,
complex *, complex *, integer *, integer *), cunmlq_(char *, char
*, integer *, integer *, integer *, complex *, integer *, complex
*, complex *, integer *, complex *, integer *, integer *);
static integer itrans;
static real eps;
#define c___subscr(a_1,a_2) (a_2)*c_dim1 + a_1
#define c___ref(a_1,a_2) c__[c___subscr(a_1,a_2)]
#define q_subscr(a_1,a_2) (a_2)*q_dim1 + a_1
#define q_ref(a_1,a_2) q[q_subscr(a_1,a_2)]
#define af_subscr(a_1,a_2) (a_2)*af_dim1 + a_1
#define af_ref(a_1,a_2) af[af_subscr(a_1,a_2)]
/* -- LAPACK test routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
September 30, 1994
Purpose
=======
CLQT03 tests CUNMLQ, which computes Q*C, Q'*C, C*Q or C*Q'.
CLQT03 compares the results of a call to CUNMLQ with the results of
forming Q explicitly by a call to CUNGLQ and then performing matrix
multiplication by a call to CGEMM.
Arguments
=========
M (input) INTEGER
The number of rows or columns of the matrix C; C is n-by-m if
Q is applied from the left, or m-by-n if Q is applied from
the right. M >= 0.
N (input) INTEGER
The order of the orthogonal matrix Q. N >= 0.
K (input) INTEGER
The number of elementary reflectors whose product defines the
orthogonal matrix Q. N >= K >= 0.
AF (input) COMPLEX array, dimension (LDA,N)
Details of the LQ factorization of an m-by-n matrix, as
returned by CGELQF. See CGELQF for further details.
C (workspace) COMPLEX array, dimension (LDA,N)
CC (workspace) COMPLEX array, dimension (LDA,N)
Q (workspace) COMPLEX array, dimension (LDA,N)
LDA (input) INTEGER
The leading dimension of the arrays AF, C, CC, and Q.
TAU (input) COMPLEX array, dimension (min(M,N))
The scalar factors of the elementary reflectors corresponding
to the LQ factorization in AF.
WORK (workspace) COMPLEX array, dimension (LWORK)
LWORK (input) INTEGER
The length of WORK. LWORK must be at least M, and should be
M*NB, where NB is the blocksize for this environment.
RWORK (workspace) REAL array, dimension (M)
RESULT (output) REAL array, dimension (4)
The test ratios compare two techniques for multiplying a
random matrix C by an n-by-n orthogonal matrix Q.
RESULT(1) = norm( Q*C - Q*C ) / ( N * norm(C) * EPS )
RESULT(2) = norm( C*Q - C*Q ) / ( N * norm(C) * EPS )
RESULT(3) = norm( Q'*C - Q'*C )/ ( N * norm(C) * EPS )
RESULT(4) = norm( C*Q' - C*Q' )/ ( N * norm(C) * EPS )
=====================================================================
Parameter adjustments */
q_dim1 = *lda;
q_offset = 1 + q_dim1 * 1;
q -= q_offset;
cc_dim1 = *lda;
cc_offset = 1 + cc_dim1 * 1;
cc -= cc_offset;
c_dim1 = *lda;
c_offset = 1 + c_dim1 * 1;
c__ -= c_offset;
af_dim1 = *lda;
af_offset = 1 + af_dim1 * 1;
af -= af_offset;
--tau;
--work;
--rwork;
--result;
/* Function Body */
eps = slamch_("Epsilon");
/* Copy the first k rows of the factorization to the array Q */
claset_("Full", n, n, &c_b1, &c_b1, &q[q_offset], lda);
i__1 = *n - 1;
clacpy_("Upper", k, &i__1, &af_ref(1, 2), lda, &q_ref(1, 2), lda);
/* Generate the n-by-n matrix Q */
s_copy(srnamc_1.srnamt, "CUNGLQ", (ftnlen)6, (ftnlen)6);
cunglq_(n, n, k, &q[q_offset], lda, &tau[1], &work[1], lwork, &info);
for (iside = 1; iside <= 2; ++iside) {
if (iside == 1) {
*(unsigned char *)side = 'L';
mc = *n;
nc = *m;
} else {
*(unsigned char *)side = 'R';
mc = *m;
nc = *n;
}
/* Generate MC by NC matrix C */
i__1 = nc;
for (j = 1; j <= i__1; ++j) {
clarnv_(&c__2, iseed, &mc, &c___ref(1, j));
/* L10: */
}
cnorm = clange_("1", &mc, &nc, &c__[c_offset], lda, &rwork[1]);
if (cnorm == 0.f) {
cnorm = 1.f;
}
for (itrans = 1; itrans <= 2; ++itrans) {
if (itrans == 1) {
*(unsigned char *)trans = 'N';
} else {
*(unsigned char *)trans = 'C';
}
/* Copy C */
clacpy_("Full", &mc, &nc, &c__[c_offset], lda, &cc[cc_offset],
lda);
/* Apply Q or Q' to C */
s_copy(srnamc_1.srnamt, "CUNMLQ", (ftnlen)6, (ftnlen)6);
cunmlq_(side, trans, &mc, &nc, k, &af[af_offset], lda, &tau[1], &
cc[cc_offset], lda, &work[1], lwork, &info);
/* Form explicit product and subtract */
if (lsame_(side, "L")) {
cgemm_(trans, "No transpose", &mc, &nc, &mc, &c_b20, &q[
q_offset], lda, &c__[c_offset], lda, &c_b21, &cc[
cc_offset], lda);
} else {
cgemm_("No transpose", trans, &mc, &nc, &nc, &c_b20, &c__[
c_offset], lda, &q[q_offset], lda, &c_b21, &cc[
cc_offset], lda);
}
/* Compute error in the difference */
resid = clange_("1", &mc, &nc, &cc[cc_offset], lda, &rwork[1]);
result[(iside - 1 << 1) + itrans] = resid / ((real) max(1,*n) *
cnorm * eps);
/* L20: */
}
/* L30: */
}
return 0;
/* End of CLQT03 */
} /* clqt03_ */
/* Subroutine */ int cgegs_(char *jobvsl, char *jobvsr, integer *n, complex *
a, integer *lda, complex *b, integer *ldb, complex *alpha, complex *
beta, complex *vsl, integer *ldvsl, complex *vsr, integer *ldvsr,
complex *work, integer *lwork, real *rwork, integer *info)
{
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, vsl_dim1, vsl_offset,
vsr_dim1, vsr_offset, i__1, i__2, i__3;
/* Local variables */
integer nb, nb1, nb2, nb3, ihi, ilo;
real eps, anrm, bnrm;
integer itau, lopt;
extern logical lsame_(char *, char *);
integer ileft, iinfo, icols;
logical ilvsl;
integer iwork;
logical ilvsr;
integer 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 *),
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 *);
real safmin;
extern /* Subroutine */ int xerbla_(char *, integer *);
extern integer ilaenv_(integer *, char *, char *, integer *, integer *,
integer *, integer *);
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 *);
integer ijobvl, iright, ijobvr;
real anrmto;
integer lwkmin;
real bnrmto;
extern /* Subroutine */ int cungqr_(integer *, integer *, integer *,
complex *, integer *, complex *, complex *, integer *, integer *),
cunmqr_(char *, char *, integer *, integer *, integer *, complex
*, integer *, complex *, complex *, integer *, complex *, integer
*, integer *);
real smlnum;
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 CGGES. */
/* CGEGS computes the eigenvalues, Schur form, and, optionally, the */
/* left and or/right Schur vectors of a complex matrix pair (A,B). */
/* Given two square matrices A and B, the generalized Schur */
/* factorization has the form */
/* A = Q*S*Z**H, B = Q*T*Z**H */
/* where Q and Z are unitary matrices and S and T are upper triangular. */
/* The columns of Q are the left Schur vectors */
/* and the columns of Z are the right Schur vectors. */
/* If only the eigenvalues of (A,B) are needed, the driver routine */
/* CGEGV should be used instead. See CGEGV for a description of the */
/* eigenvalues of the generalized nonsymmetric eigenvalue problem */
/* (GNEP). */
/* Arguments */
/* ========= */
/* JOBVSL (input) CHARACTER*1 */
/* = 'N': do not compute the left Schur vectors; */
/* = 'V': compute the left Schur vectors (returned in VSL). */
/* JOBVSR (input) CHARACTER*1 */
/* = 'N': do not compute the right Schur vectors; */
/* = 'V': compute the right Schur vectors (returned in VSR). */
/* N (input) INTEGER */
/* The order of the matrices A, B, VSL, and VSR. N >= 0. */
/* A (input/output) COMPLEX array, dimension (LDA, N) */
/* On entry, the matrix A. */
/* On exit, the upper triangular matrix S from the generalized */
/* Schur factorization. */
/* 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. */
/* On exit, the upper triangular matrix T from the generalized */
/* Schur factorization. */
/* 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. ALPHA(j) = S(j,j), the diagonal element of the Schur */
/* form of A. */
/* BETA (output) COMPLEX array, dimension (N) */
/* The non-negative real scalars beta that define the */
/* eigenvalues of GNEP. BETA(j) = T(j,j), the diagonal element */
/* of the triangular factor T. */
/* 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. */
/* VSL (output) COMPLEX array, dimension (LDVSL,N) */
/* If JOBVSL = 'V', the matrix of left Schur vectors Q. */
/* Not referenced if JOBVSL = 'N'. */
/* LDVSL (input) INTEGER */
/* The leading dimension of the matrix VSL. LDVSL >= 1, and */
/* if JOBVSL = 'V', LDVSL >= N. */
/* VSR (output) COMPLEX array, dimension (LDVSR,N) */
/* If JOBVSR = 'V', the matrix of right Schur vectors Z. */
/* Not referenced if JOBVSR = 'N'. */
/* LDVSR (input) INTEGER */
/* The leading dimension of the matrix VSR. LDVSR >= 1, and */
/* if JOBVSR = 'V', LDVSR >= 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 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) REAL array, dimension (3*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. (A,B) are not in Schur */
/* form, 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 CGGBAK (computing VSL) */
/* =N+8: error return from CGGBAK (computing VSR) */
/* =N+9: error return from CLASCL (various places) */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. 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;
vsl_dim1 = *ldvsl;
vsl_offset = 1 + vsl_dim1;
vsl -= vsl_offset;
vsr_dim1 = *ldvsr;
vsr_offset = 1 + vsr_dim1;
vsr -= vsr_offset;
--work;
--rwork;
/* Function Body */
if (lsame_(jobvsl, "N")) {
ijobvl = 1;
ilvsl = FALSE_;
} else if (lsame_(jobvsl, "V")) {
ijobvl = 2;
ilvsl = TRUE_;
} else {
ijobvl = -1;
ilvsl = FALSE_;
}
if (lsame_(jobvsr, "N")) {
ijobvr = 1;
ilvsr = FALSE_;
} else if (lsame_(jobvsr, "V")) {
ijobvr = 2;
ilvsr = TRUE_;
} else {
ijobvr = -1;
ilvsr = FALSE_;
}
/* 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 (*ldvsl < 1 || ilvsl && *ldvsl < *n) {
*info = -11;
} else if (*ldvsr < 1 || ilvsr && *ldvsr < *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);
lopt = *n * (nb + 1);
work[1].r = (real) lopt, work[1].i = 0.f;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CGEGS ", &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");
smlnum = *n * safmin / 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_n1, &c_n1, &anrm, &anrmto, n, n, &a[a_offset], lda, &
iinfo);
if (iinfo != 0) {
*info = *n + 9;
return 0;
}
}
/* 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_n1, &c_n1, &bnrm, &bnrmto, n, n, &b[b_offset], ldb, &
iinfo);
if (iinfo != 0) {
*info = *n + 9;
return 0;
}
}
/* Permute the matrix to make it more nearly triangular */
ileft = 1;
iright = *n + 1;
irwork = iright + *n;
iwork = 1;
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 L10;
}
/* Reduce B to triangular form, and initialize VSL and/or VSR */
irows = ihi + 1 - ilo;
icols = *n + 1 - ilo;
itau = iwork;
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 L10;
}
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 L10;
}
if (ilvsl) {
claset_("Full", n, n, &c_b1, &c_b2, &vsl[vsl_offset], ldvsl);
i__1 = irows - 1;
i__2 = irows - 1;
clacpy_("L", &i__1, &i__2, &b[ilo + 1 + ilo * b_dim1], ldb, &vsl[ilo
+ 1 + ilo * vsl_dim1], ldvsl);
i__1 = *lwork + 1 - iwork;
cungqr_(&irows, &irows, &irows, &vsl[ilo + ilo * vsl_dim1], ldvsl, &
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 L10;
}
}
if (ilvsr) {
claset_("Full", n, n, &c_b1, &c_b2, &vsr[vsr_offset], ldvsr);
}
/* Reduce to generalized Hessenberg form */
cgghrd_(jobvsl, jobvsr, n, &ilo, &ihi, &a[a_offset], lda, &b[b_offset],
ldb, &vsl[vsl_offset], ldvsl, &vsr[vsr_offset], ldvsr, &iinfo);
if (iinfo != 0) {
*info = *n + 5;
goto L10;
}
/* Perform QZ algorithm, computing Schur vectors if desired */
iwork = itau;
i__1 = *lwork + 1 - iwork;
chgeqz_("S", jobvsl, jobvsr, n, &ilo, &ihi, &a[a_offset], lda, &b[
b_offset], ldb, &alpha[1], &beta[1], &vsl[vsl_offset], ldvsl, &
vsr[vsr_offset], ldvsr, &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 L10;
}
/* Apply permutation to VSL and VSR */
if (ilvsl) {
cggbak_("P", "L", n, &ilo, &ihi, &rwork[ileft], &rwork[iright], n, &
vsl[vsl_offset], ldvsl, &iinfo);
if (iinfo != 0) {
*info = *n + 7;
goto L10;
}
}
if (ilvsr) {
cggbak_("P", "R", n, &ilo, &ihi, &rwork[ileft], &rwork[iright], n, &
vsr[vsr_offset], ldvsr, &iinfo);
if (iinfo != 0) {
*info = *n + 8;
goto L10;
}
}
/* Undo scaling */
if (ilascl) {
clascl_("U", &c_n1, &c_n1, &anrmto, &anrm, n, n, &a[a_offset], lda, &
iinfo);
if (iinfo != 0) {
*info = *n + 9;
return 0;
}
clascl_("G", &c_n1, &c_n1, &anrmto, &anrm, n, &c__1, &alpha[1], n, &
iinfo);
if (iinfo != 0) {
*info = *n + 9;
return 0;
}
}
if (ilbscl) {
clascl_("U", &c_n1, &c_n1, &bnrmto, &bnrm, n, n, &b[b_offset], ldb, &
iinfo);
if (iinfo != 0) {
*info = *n + 9;
return 0;
}
clascl_("G", &c_n1, &c_n1, &bnrmto, &bnrm, n, &c__1, &beta[1], n, &
iinfo);
if (iinfo != 0) {
*info = *n + 9;
return 0;
}
}
L10:
work[1].r = (real) lwkopt, work[1].i = 0.f;
return 0;
/* End of CGEGS */
} /* cgegs_ */
/* Subroutine */
int cgelsd_(integer *m, integer *n, integer *nrhs, complex * a, integer *lda, complex *b, integer *ldb, real *s, real *rcond, integer *rank, complex *work, integer *lwork, real *rwork, integer * iwork, integer *info)
{
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, i__1, i__2, i__3, i__4;
/* Builtin functions */
double log(doublereal);
/* Local variables */
integer ie, il, mm;
real eps, anrm, bnrm;
integer itau, nlvl, iascl, ibscl;
real sfmin;
integer minmn, maxmn, itaup, itauq, mnthr, nwork;
extern /* Subroutine */
int cgebrd_(integer *, integer *, complex *, integer *, real *, real *, complex *, complex *, complex *, integer *, integer *), slabad_(real *, real *);
extern real clange_(char *, integer *, integer *, complex *, integer *, real *);
extern /* Subroutine */
int cgelqf_(integer *, integer *, complex *, integer *, complex *, complex *, integer *, integer *), clalsd_( char *, integer *, integer *, integer *, real *, real *, complex * , integer *, real *, integer *, complex *, real *, integer *, integer *), clascl_(char *, integer *, integer *, real *, real *, integer *, integer *, complex *, integer *, integer *), cgeqrf_(integer *, integer *, complex *, integer *, complex *, complex *, integer *, integer *);
extern real slamch_(char *);
extern /* Subroutine */
int clacpy_(char *, integer *, integer *, complex *, integer *, complex *, integer *), claset_(char *, integer *, integer *, complex *, complex *, complex *, integer *), xerbla_(char *, integer *);
extern integer ilaenv_(integer *, char *, char *, integer *, integer *, integer *, integer *);
real bignum;
extern /* Subroutine */
int slascl_(char *, integer *, integer *, real *, real *, integer *, integer *, real *, integer *, integer *), cunmbr_(char *, char *, char *, integer *, integer *, integer *, complex *, integer *, complex *, complex *, integer *, complex *, integer *, integer *), slaset_( char *, integer *, integer *, real *, real *, real *, integer *), cunmlq_(char *, char *, integer *, integer *, integer *, complex *, integer *, complex *, complex *, integer *, complex *, integer *, integer *);
integer ldwork;
extern /* Subroutine */
int cunmqr_(char *, char *, integer *, integer *, integer *, complex *, integer *, complex *, complex *, integer *, complex *, integer *, integer *);
integer liwork, minwrk, maxwrk;
real smlnum;
integer lrwork;
logical lquery;
integer nrwork, smlsiz;
/* -- LAPACK driver routine (version 3.4.0) -- */
/* -- LAPACK is a software package provided by Univ. of Tennessee, -- */
/* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- */
/* November 2011 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Test 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;
--s;
--work;
--rwork;
--iwork;
/* Function Body */
*info = 0;
minmn = min(*m,*n);
maxmn = max(*m,*n);
lquery = *lwork == -1;
if (*m < 0)
{
*info = -1;
}
else if (*n < 0)
{
*info = -2;
}
else if (*nrhs < 0)
{
*info = -3;
}
else if (*lda < max(1,*m))
{
*info = -5;
}
else if (*ldb < max(1,maxmn))
{
*info = -7;
}
/* 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.) */
if (*info == 0)
{
minwrk = 1;
maxwrk = 1;
liwork = 1;
lrwork = 1;
if (minmn > 0)
{
smlsiz = ilaenv_(&c__9, "CGELSD", " ", &c__0, &c__0, &c__0, &c__0);
mnthr = ilaenv_(&c__6, "CGELSD", " ", m, n, nrhs, &c_n1);
/* Computing MAX */
i__1 = (integer) (log((real) minmn / (real) (smlsiz + 1)) / log( 2.f)) + 1;
nlvl = max(i__1,0);
liwork = minmn * 3 * nlvl + minmn * 11;
mm = *m;
if (*m >= *n && *m >= mnthr)
{
/* Path 1a - overdetermined, with many more rows than */
/* columns. */
mm = *n;
/* Computing MAX */
i__1 = maxwrk;
i__2 = *n * ilaenv_(&c__1, "CGEQRF", " ", m, n, &c_n1, &c_n1); // , expr subst
maxwrk = max(i__1,i__2);
/* Computing MAX */
i__1 = maxwrk;
i__2 = *nrhs * ilaenv_(&c__1, "CUNMQR", "LC", m, nrhs, n, &c_n1); // , expr subst
maxwrk = max(i__1,i__2);
}
if (*m >= *n)
{
/* Path 1 - overdetermined or exactly determined. */
/* Computing MAX */
/* Computing 2nd power */
i__3 = smlsiz + 1;
i__1 = i__3 * i__3;
i__2 = *n * (*nrhs + 1) + (*nrhs << 1); // , expr subst
lrwork = *n * 10 + (*n << 1) * smlsiz + (*n << 3) * nlvl + smlsiz * 3 * *nrhs + max(i__1,i__2);
/* Computing MAX */
i__1 = maxwrk;
i__2 = (*n << 1) + (mm + *n) * ilaenv_(&c__1, "CGEBRD", " ", &mm, n, &c_n1, &c_n1); // , expr subst
maxwrk = max(i__1,i__2);
/* Computing MAX */
i__1 = maxwrk;
i__2 = (*n << 1) + *nrhs * ilaenv_(&c__1, "CUNMBR", "QLC", &mm, nrhs, n, &c_n1); // , expr subst
maxwrk = max(i__1,i__2);
/* Computing MAX */
i__1 = maxwrk;
i__2 = (*n << 1) + (*n - 1) * ilaenv_(&c__1, "CUNMBR", "PLN", n, nrhs, n, &c_n1); // , expr subst
maxwrk = max(i__1,i__2);
/* Computing MAX */
i__1 = maxwrk;
i__2 = (*n << 1) + *n * *nrhs; // , expr subst
maxwrk = max(i__1,i__2);
/* Computing MAX */
i__1 = (*n << 1) + mm;
i__2 = (*n << 1) + *n * *nrhs; // , expr subst
minwrk = max(i__1,i__2);
}
if (*n > *m)
{
/* Computing MAX */
/* Computing 2nd power */
i__3 = smlsiz + 1;
i__1 = i__3 * i__3;
i__2 = *n * (*nrhs + 1) + (*nrhs << 1); // , expr subst
lrwork = *m * 10 + (*m << 1) * smlsiz + (*m << 3) * nlvl + smlsiz * 3 * *nrhs + max(i__1,i__2);
if (*n >= mnthr)
{
/* Path 2a - underdetermined, with many more columns */
/* than rows. */
maxwrk = *m + *m * ilaenv_(&c__1, "CGELQF", " ", m, n, & c_n1, &c_n1);
/* Computing MAX */
i__1 = maxwrk;
i__2 = *m * *m + (*m << 2) + (*m << 1) * ilaenv_(&c__1, "CGEBRD", " ", m, m, &c_n1, &c_n1); // , expr subst
maxwrk = max(i__1,i__2);
/* Computing MAX */
i__1 = maxwrk;
i__2 = *m * *m + (*m << 2) + *nrhs * ilaenv_(&c__1, "CUNMBR", "QLC", m, nrhs, m, &c_n1); // , expr subst
maxwrk = max(i__1,i__2);
/* Computing MAX */
i__1 = maxwrk;
i__2 = *m * *m + (*m << 2) + (*m - 1) * ilaenv_(&c__1, "CUNMLQ", "LC", n, nrhs, m, &c_n1); // , expr subst
maxwrk = max(i__1,i__2);
if (*nrhs > 1)
{
/* Computing MAX */
i__1 = maxwrk;
i__2 = *m * *m + *m + *m * *nrhs; // , expr subst
maxwrk = max(i__1,i__2);
}
else
{
/* Computing MAX */
i__1 = maxwrk;
i__2 = *m * *m + (*m << 1); // , expr subst
maxwrk = max(i__1,i__2);
}
/* Computing MAX */
i__1 = maxwrk;
i__2 = *m * *m + (*m << 2) + *m * *nrhs; // , expr subst
maxwrk = max(i__1,i__2);
/* XXX: Ensure the Path 2a case below is triggered. The workspace */
/* calculation should use queries for all routines eventually. */
/* Computing MAX */
/* Computing MAX */
i__3 = *m, i__4 = (*m << 1) - 4, i__3 = max(i__3,i__4);
i__3 = max(i__3,*nrhs);
i__4 = *n - *m * 3; // ; expr subst
i__1 = maxwrk;
i__2 = (*m << 2) + *m * *m + max(i__3,i__4) ; // , expr subst
maxwrk = max(i__1,i__2);
}
else
{
/* Path 2 - underdetermined. */
maxwrk = (*m << 1) + (*n + *m) * ilaenv_(&c__1, "CGEBRD", " ", m, n, &c_n1, &c_n1);
/* Computing MAX */
i__1 = maxwrk;
i__2 = (*m << 1) + *nrhs * ilaenv_(&c__1, "CUNMBR", "QLC", m, nrhs, m, &c_n1); // , expr subst
maxwrk = max(i__1,i__2);
/* Computing MAX */
i__1 = maxwrk;
i__2 = (*m << 1) + *m * ilaenv_(&c__1, "CUNMBR", "PLN", n, nrhs, m, &c_n1); // , expr subst
maxwrk = max(i__1,i__2);
/* Computing MAX */
i__1 = maxwrk;
i__2 = (*m << 1) + *m * *nrhs; // , expr subst
maxwrk = max(i__1,i__2);
}
/* Computing MAX */
i__1 = (*m << 1) + *n;
i__2 = (*m << 1) + *m * *nrhs; // , expr subst
minwrk = max(i__1,i__2);
}
}
minwrk = min(minwrk,maxwrk);
work[1].r = (real) maxwrk;
work[1].i = 0.f; // , expr subst
iwork[1] = liwork;
rwork[1] = (real) lrwork;
if (*lwork < minwrk && ! lquery)
{
*info = -12;
}
}
if (*info != 0)
{
i__1 = -(*info);
xerbla_("CGELSD", &i__1);
return 0;
}
else if (lquery)
{
return 0;
}
/* Quick return if possible. */
if (*m == 0 || *n == 0)
{
*rank = 0;
return 0;
}
/* Get machine parameters. */
eps = slamch_("P");
sfmin = slamch_("S");
smlnum = sfmin / eps;
bignum = 1.f / smlnum;
slabad_(&smlnum, &bignum);
/* Scale A if max entry outside range [SMLNUM,BIGNUM]. */
anrm = clange_("M", m, n, &a[a_offset], lda, &rwork[1]);
iascl = 0;
if (anrm > 0.f && anrm < smlnum)
{
/* Scale matrix norm up to SMLNUM */
clascl_("G", &c__0, &c__0, &anrm, &smlnum, m, n, &a[a_offset], lda, info);
iascl = 1;
}
else if (anrm > bignum)
{
/* Scale matrix norm down to BIGNUM. */
clascl_("G", &c__0, &c__0, &anrm, &bignum, m, n, &a[a_offset], lda, info);
iascl = 2;
}
else if (anrm == 0.f)
{
/* Matrix all zero. Return zero solution. */
i__1 = max(*m,*n);
claset_("F", &i__1, nrhs, &c_b1, &c_b1, &b[b_offset], ldb);
slaset_("F", &minmn, &c__1, &c_b80, &c_b80, &s[1], &c__1);
*rank = 0;
goto L10;
}
/* Scale B if max entry outside range [SMLNUM,BIGNUM]. */
bnrm = clange_("M", m, nrhs, &b[b_offset], ldb, &rwork[1]);
ibscl = 0;
if (bnrm > 0.f && bnrm < smlnum)
{
/* Scale matrix norm up to SMLNUM. */
clascl_("G", &c__0, &c__0, &bnrm, &smlnum, m, nrhs, &b[b_offset], ldb, info);
ibscl = 1;
}
else if (bnrm > bignum)
{
/* Scale matrix norm down to BIGNUM. */
clascl_("G", &c__0, &c__0, &bnrm, &bignum, m, nrhs, &b[b_offset], ldb, info);
ibscl = 2;
}
/* If M < N make sure B(M+1:N,:) = 0 */
if (*m < *n)
{
i__1 = *n - *m;
claset_("F", &i__1, nrhs, &c_b1, &c_b1, &b[*m + 1 + b_dim1], ldb);
}
/* Overdetermined case. */
if (*m >= *n)
{
/* Path 1 - overdetermined or exactly determined. */
mm = *m;
if (*m >= mnthr)
{
/* Path 1a - overdetermined, with many more rows than columns */
mm = *n;
itau = 1;
nwork = itau + *n;
/* Compute A=Q*R. */
/* (RWorkspace: need N) */
/* (CWorkspace: need N, prefer N*NB) */
i__1 = *lwork - nwork + 1;
cgeqrf_(m, n, &a[a_offset], lda, &work[itau], &work[nwork], &i__1, info);
/* Multiply B by transpose(Q). */
/* (RWorkspace: need N) */
/* (CWorkspace: need NRHS, prefer NRHS*NB) */
i__1 = *lwork - nwork + 1;
cunmqr_("L", "C", m, nrhs, n, &a[a_offset], lda, &work[itau], &b[ b_offset], ldb, &work[nwork], &i__1, info);
/* Zero out below R. */
if (*n > 1)
{
i__1 = *n - 1;
i__2 = *n - 1;
claset_("L", &i__1, &i__2, &c_b1, &c_b1, &a[a_dim1 + 2], lda);
}
}
itauq = 1;
itaup = itauq + *n;
nwork = itaup + *n;
ie = 1;
nrwork = ie + *n;
/* Bidiagonalize R in A. */
/* (RWorkspace: need N) */
/* (CWorkspace: need 2*N+MM, prefer 2*N+(MM+N)*NB) */
i__1 = *lwork - nwork + 1;
cgebrd_(&mm, n, &a[a_offset], lda, &s[1], &rwork[ie], &work[itauq], & work[itaup], &work[nwork], &i__1, info);
/* Multiply B by transpose of left bidiagonalizing vectors of R. */
/* (CWorkspace: need 2*N+NRHS, prefer 2*N+NRHS*NB) */
i__1 = *lwork - nwork + 1;
cunmbr_("Q", "L", "C", &mm, nrhs, n, &a[a_offset], lda, &work[itauq], &b[b_offset], ldb, &work[nwork], &i__1, info);
/* Solve the bidiagonal least squares problem. */
clalsd_("U", &smlsiz, n, nrhs, &s[1], &rwork[ie], &b[b_offset], ldb, rcond, rank, &work[nwork], &rwork[nrwork], &iwork[1], info);
if (*info != 0)
{
goto L10;
}
/* Multiply B by right bidiagonalizing vectors of R. */
i__1 = *lwork - nwork + 1;
cunmbr_("P", "L", "N", n, nrhs, n, &a[a_offset], lda, &work[itaup], & b[b_offset], ldb, &work[nwork], &i__1, info);
}
else /* if(complicated condition) */
{
/* Computing MAX */
i__1 = *m, i__2 = (*m << 1) - 4, i__1 = max(i__1,i__2);
i__1 = max( i__1,*nrhs);
i__2 = *n - *m * 3; // ; expr subst
if (*n >= mnthr && *lwork >= (*m << 2) + *m * *m + max(i__1,i__2))
{
/* Path 2a - underdetermined, with many more columns than rows */
/* and sufficient workspace for an efficient algorithm. */
ldwork = *m;
/* Computing MAX */
/* Computing MAX */
i__3 = *m, i__4 = (*m << 1) - 4, i__3 = max(i__3,i__4);
i__3 = max(i__3,*nrhs);
i__4 = *n - *m * 3; // ; expr subst
i__1 = (*m << 2) + *m * *lda + max(i__3,i__4);
i__2 = *m * *lda + *m + *m * *nrhs; // , expr subst
if (*lwork >= max(i__1,i__2))
{
ldwork = *lda;
}
itau = 1;
nwork = *m + 1;
/* Compute A=L*Q. */
/* (CWorkspace: need 2*M, prefer M+M*NB) */
i__1 = *lwork - nwork + 1;
cgelqf_(m, n, &a[a_offset], lda, &work[itau], &work[nwork], &i__1, info);
il = nwork;
/* Copy L to WORK(IL), zeroing out above its diagonal. */
clacpy_("L", m, m, &a[a_offset], lda, &work[il], &ldwork);
i__1 = *m - 1;
i__2 = *m - 1;
claset_("U", &i__1, &i__2, &c_b1, &c_b1, &work[il + ldwork], & ldwork);
itauq = il + ldwork * *m;
itaup = itauq + *m;
nwork = itaup + *m;
ie = 1;
nrwork = ie + *m;
/* Bidiagonalize L in WORK(IL). */
/* (RWorkspace: need M) */
/* (CWorkspace: need M*M+4*M, prefer M*M+4*M+2*M*NB) */
i__1 = *lwork - nwork + 1;
cgebrd_(m, m, &work[il], &ldwork, &s[1], &rwork[ie], &work[itauq], &work[itaup], &work[nwork], &i__1, info);
/* Multiply B by transpose of left bidiagonalizing vectors of L. */
/* (CWorkspace: need M*M+4*M+NRHS, prefer M*M+4*M+NRHS*NB) */
i__1 = *lwork - nwork + 1;
cunmbr_("Q", "L", "C", m, nrhs, m, &work[il], &ldwork, &work[ itauq], &b[b_offset], ldb, &work[nwork], &i__1, info);
/* Solve the bidiagonal least squares problem. */
clalsd_("U", &smlsiz, m, nrhs, &s[1], &rwork[ie], &b[b_offset], ldb, rcond, rank, &work[nwork], &rwork[nrwork], &iwork[1], info);
if (*info != 0)
{
goto L10;
}
/* Multiply B by right bidiagonalizing vectors of L. */
i__1 = *lwork - nwork + 1;
cunmbr_("P", "L", "N", m, nrhs, m, &work[il], &ldwork, &work[ itaup], &b[b_offset], ldb, &work[nwork], &i__1, info);
/* Zero out below first M rows of B. */
i__1 = *n - *m;
claset_("F", &i__1, nrhs, &c_b1, &c_b1, &b[*m + 1 + b_dim1], ldb);
nwork = itau + *m;
/* Multiply transpose(Q) by B. */
/* (CWorkspace: need NRHS, prefer NRHS*NB) */
i__1 = *lwork - nwork + 1;
cunmlq_("L", "C", n, nrhs, m, &a[a_offset], lda, &work[itau], &b[ b_offset], ldb, &work[nwork], &i__1, info);
}
else
{
/* Path 2 - remaining underdetermined cases. */
itauq = 1;
itaup = itauq + *m;
nwork = itaup + *m;
ie = 1;
nrwork = ie + *m;
/* Bidiagonalize A. */
/* (RWorkspace: need M) */
/* (CWorkspace: need 2*M+N, prefer 2*M+(M+N)*NB) */
i__1 = *lwork - nwork + 1;
cgebrd_(m, n, &a[a_offset], lda, &s[1], &rwork[ie], &work[itauq], &work[itaup], &work[nwork], &i__1, info);
/* Multiply B by transpose of left bidiagonalizing vectors. */
/* (CWorkspace: need 2*M+NRHS, prefer 2*M+NRHS*NB) */
i__1 = *lwork - nwork + 1;
cunmbr_("Q", "L", "C", m, nrhs, n, &a[a_offset], lda, &work[itauq] , &b[b_offset], ldb, &work[nwork], &i__1, info);
/* Solve the bidiagonal least squares problem. */
clalsd_("L", &smlsiz, m, nrhs, &s[1], &rwork[ie], &b[b_offset], ldb, rcond, rank, &work[nwork], &rwork[nrwork], &iwork[1], info);
if (*info != 0)
{
goto L10;
}
/* Multiply B by right bidiagonalizing vectors of A. */
i__1 = *lwork - nwork + 1;
cunmbr_("P", "L", "N", n, nrhs, m, &a[a_offset], lda, &work[itaup] , &b[b_offset], ldb, &work[nwork], &i__1, info);
}
}
/* Undo scaling. */
if (iascl == 1)
{
clascl_("G", &c__0, &c__0, &anrm, &smlnum, n, nrhs, &b[b_offset], ldb, info);
slascl_("G", &c__0, &c__0, &smlnum, &anrm, &minmn, &c__1, &s[1], & minmn, info);
}
else if (iascl == 2)
{
clascl_("G", &c__0, &c__0, &anrm, &bignum, n, nrhs, &b[b_offset], ldb, info);
slascl_("G", &c__0, &c__0, &bignum, &anrm, &minmn, &c__1, &s[1], & minmn, info);
}
if (ibscl == 1)
{
clascl_("G", &c__0, &c__0, &smlnum, &bnrm, n, nrhs, &b[b_offset], ldb, info);
}
else if (ibscl == 2)
{
clascl_("G", &c__0, &c__0, &bignum, &bnrm, n, nrhs, &b[b_offset], ldb, info);
}
L10:
work[1].r = (real) maxwrk;
work[1].i = 0.f; // , expr subst
iwork[1] = liwork;
rwork[1] = (real) lrwork;
return 0;
/* End of CGELSD */
}
/* Subroutine */ int cstt22_(integer *n, integer *m, integer *kband, real *ad,
real *ae, real *sd, real *se, complex *u, integer *ldu, complex *
work, integer *ldwork, real *rwork, real *result)
{
/* System generated locals */
integer u_dim1, u_offset, work_dim1, work_offset, i__1, i__2, i__3, i__4,
i__5, i__6;
real r__1, r__2, r__3, r__4, r__5;
complex q__1, q__2;
/* Local variables */
integer i__, j, k;
real ulp;
complex aukj;
real unfl;
extern /* Subroutine */ int cgemm_(char *, char *, integer *, integer *,
integer *, complex *, complex *, integer *, complex *, integer *,
complex *, complex *, integer *);
real anorm, wnorm;
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *), slamch_(char *), clansy_(char
*, char *, integer *, complex *, integer *, real *);
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CSTT22 checks a set of M eigenvalues and eigenvectors, */
/* A U = U S */
/* where A is Hermitian tridiagonal, the columns of U are unitary, */
/* and S is diagonal (if KBAND=0) or Hermitian tridiagonal (if KBAND=1). */
/* Two tests are performed: */
/* RESULT(1) = | U* A U - S | / ( |A| m ulp ) */
/* RESULT(2) = | I - U*U | / ( m ulp ) */
/* Arguments */
/* ========= */
/* N (input) INTEGER */
/* The size of the matrix. If it is zero, CSTT22 does nothing. */
/* It must be at least zero. */
/* M (input) INTEGER */
/* The number of eigenpairs to check. If it is zero, CSTT22 */
/* does nothing. It must be at least zero. */
/* KBAND (input) INTEGER */
/* The bandwidth of the matrix S. It may only be zero or one. */
/* If zero, then S is diagonal, and SE is not referenced. If */
/* one, then S is Hermitian tri-diagonal. */
/* AD (input) REAL array, dimension (N) */
/* The diagonal of the original (unfactored) matrix A. A is */
/* assumed to be Hermitian tridiagonal. */
/* AE (input) REAL array, dimension (N) */
/* The off-diagonal of the original (unfactored) matrix A. A */
/* is assumed to be Hermitian tridiagonal. AE(1) is ignored, */
/* AE(2) is the (1,2) and (2,1) element, etc. */
/* SD (input) REAL array, dimension (N) */
/* The diagonal of the (Hermitian tri-) diagonal matrix S. */
/* SE (input) REAL array, dimension (N) */
/* The off-diagonal of the (Hermitian tri-) diagonal matrix S. */
/* Not referenced if KBSND=0. If KBAND=1, then AE(1) is */
/* ignored, SE(2) is the (1,2) and (2,1) element, etc. */
/* U (input) REAL array, dimension (LDU, N) */
/* The unitary matrix in the decomposition. */
/* LDU (input) INTEGER */
/* The leading dimension of U. LDU must be at least N. */
/* WORK (workspace) COMPLEX array, dimension (LDWORK, M+1) */
/* LDWORK (input) INTEGER */
/* The leading dimension of WORK. LDWORK must be at least */
/* max(1,M). */
/* RWORK (workspace) REAL array, dimension (N) */
/* RESULT (output) REAL array, dimension (2) */
/* The values computed by the two tests described above. The */
/* values are currently limited to 1/ulp, to avoid overflow. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Parameter adjustments */
--ad;
--ae;
--sd;
--se;
u_dim1 = *ldu;
u_offset = 1 + u_dim1;
u -= u_offset;
work_dim1 = *ldwork;
work_offset = 1 + work_dim1;
work -= work_offset;
--rwork;
--result;
/* Function Body */
result[1] = 0.f;
result[2] = 0.f;
if (*n <= 0 || *m <= 0) {
return 0;
}
unfl = slamch_("Safe minimum");
ulp = slamch_("Epsilon");
/* Do Test 1 */
/* Compute the 1-norm of A. */
if (*n > 1) {
anorm = dabs(ad[1]) + dabs(ae[1]);
i__1 = *n - 1;
for (j = 2; j <= i__1; ++j) {
/* Computing MAX */
r__4 = anorm, r__5 = (r__1 = ad[j], dabs(r__1)) + (r__2 = ae[j],
dabs(r__2)) + (r__3 = ae[j - 1], dabs(r__3));
anorm = dmax(r__4,r__5);
/* L10: */
}
/* Computing MAX */
r__3 = anorm, r__4 = (r__1 = ad[*n], dabs(r__1)) + (r__2 = ae[*n - 1],
dabs(r__2));
anorm = dmax(r__3,r__4);
} else {
anorm = dabs(ad[1]);
}
anorm = dmax(anorm,unfl);
/* Norm of U*AU - S */
i__1 = *m;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = *m;
for (j = 1; j <= i__2; ++j) {
i__3 = i__ + j * work_dim1;
work[i__3].r = 0.f, work[i__3].i = 0.f;
i__3 = *n;
for (k = 1; k <= i__3; ++k) {
i__4 = k;
i__5 = k + j * u_dim1;
q__1.r = ad[i__4] * u[i__5].r, q__1.i = ad[i__4] * u[i__5].i;
aukj.r = q__1.r, aukj.i = q__1.i;
if (k != *n) {
i__4 = k;
i__5 = k + 1 + j * u_dim1;
q__2.r = ae[i__4] * u[i__5].r, q__2.i = ae[i__4] * u[i__5]
.i;
q__1.r = aukj.r + q__2.r, q__1.i = aukj.i + q__2.i;
aukj.r = q__1.r, aukj.i = q__1.i;
}
if (k != 1) {
i__4 = k - 1;
i__5 = k - 1 + j * u_dim1;
q__2.r = ae[i__4] * u[i__5].r, q__2.i = ae[i__4] * u[i__5]
.i;
q__1.r = aukj.r + q__2.r, q__1.i = aukj.i + q__2.i;
aukj.r = q__1.r, aukj.i = q__1.i;
}
i__4 = i__ + j * work_dim1;
i__5 = i__ + j * work_dim1;
i__6 = k + i__ * u_dim1;
q__2.r = u[i__6].r * aukj.r - u[i__6].i * aukj.i, q__2.i = u[
i__6].r * aukj.i + u[i__6].i * aukj.r;
q__1.r = work[i__5].r + q__2.r, q__1.i = work[i__5].i +
q__2.i;
work[i__4].r = q__1.r, work[i__4].i = q__1.i;
/* L20: */
}
/* L30: */
}
i__2 = i__ + i__ * work_dim1;
i__3 = i__ + i__ * work_dim1;
i__4 = i__;
q__1.r = work[i__3].r - sd[i__4], q__1.i = work[i__3].i;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
if (*kband == 1) {
if (i__ != 1) {
i__2 = i__ + (i__ - 1) * work_dim1;
i__3 = i__ + (i__ - 1) * work_dim1;
i__4 = i__ - 1;
q__1.r = work[i__3].r - se[i__4], q__1.i = work[i__3].i;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
}
if (i__ != *n) {
i__2 = i__ + (i__ + 1) * work_dim1;
i__3 = i__ + (i__ + 1) * work_dim1;
i__4 = i__;
q__1.r = work[i__3].r - se[i__4], q__1.i = work[i__3].i;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
}
}
/* L40: */
}
wnorm = clansy_("1", "L", m, &work[work_offset], m, &rwork[1]);
if (anorm > wnorm) {
result[1] = wnorm / anorm / (*m * ulp);
} else {
if (anorm < 1.f) {
/* Computing MIN */
r__1 = wnorm, r__2 = *m * anorm;
result[1] = dmin(r__1,r__2) / anorm / (*m * ulp);
} else {
/* Computing MIN */
r__1 = wnorm / anorm, r__2 = (real) (*m);
result[1] = dmin(r__1,r__2) / (*m * ulp);
}
}
/* Do Test 2 */
/* Compute U*U - I */
cgemm_("T", "N", m, m, n, &c_b2, &u[u_offset], ldu, &u[u_offset], ldu, &
c_b1, &work[work_offset], m);
i__1 = *m;
for (j = 1; j <= i__1; ++j) {
i__2 = j + j * work_dim1;
i__3 = j + j * work_dim1;
q__1.r = work[i__3].r - 1.f, q__1.i = work[i__3].i;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
/* L50: */
}
/* Computing MIN */
r__1 = (real) (*m), r__2 = clange_("1", m, m, &work[work_offset], m, &
rwork[1]);
result[2] = dmin(r__1,r__2) / (*m * ulp);
return 0;
/* End of CSTT22 */
} /* cstt22_ */
/* Subroutine */ int cstt22_(integer *n, integer *m, integer *kband, real *ad,
real *ae, real *sd, real *se, complex *u, integer *ldu, complex *
work, integer *ldwork, real *rwork, real *result)
{
/* System generated locals */
integer u_dim1, u_offset, work_dim1, work_offset, i__1, i__2, i__3, i__4,
i__5, i__6;
real r__1, r__2, r__3, r__4, r__5;
complex q__1, q__2;
/* Local variables */
static complex aukj;
static real unfl;
static integer i__, j, k;
extern /* Subroutine */ int cgemm_(char *, char *, integer *, integer *,
integer *, complex *, complex *, integer *, complex *, integer *,
complex *, complex *, integer *);
static real anorm, wnorm;
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *), slamch_(char *), clansy_(char
*, char *, integer *, complex *, integer *, real *);
static real ulp;
#define work_subscr(a_1,a_2) (a_2)*work_dim1 + a_1
#define work_ref(a_1,a_2) work[work_subscr(a_1,a_2)]
#define u_subscr(a_1,a_2) (a_2)*u_dim1 + a_1
#define u_ref(a_1,a_2) u[u_subscr(a_1,a_2)]
/* -- LAPACK test routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
June 30, 1999
Purpose
=======
CSTT22 checks a set of M eigenvalues and eigenvectors,
A U = U S
where A is Hermitian tridiagonal, the columns of U are unitary,
and S is diagonal (if KBAND=0) or Hermitian tridiagonal (if KBAND=1).
Two tests are performed:
RESULT(1) = | U* A U - S | / ( |A| m ulp )
RESULT(2) = | I - U*U | / ( m ulp )
Arguments
=========
N (input) INTEGER
The size of the matrix. If it is zero, CSTT22 does nothing.
It must be at least zero.
M (input) INTEGER
The number of eigenpairs to check. If it is zero, CSTT22
does nothing. It must be at least zero.
KBAND (input) INTEGER
The bandwidth of the matrix S. It may only be zero or one.
If zero, then S is diagonal, and SE is not referenced. If
one, then S is Hermitian tri-diagonal.
AD (input) REAL array, dimension (N)
The diagonal of the original (unfactored) matrix A. A is
assumed to be Hermitian tridiagonal.
AE (input) REAL array, dimension (N)
The off-diagonal of the original (unfactored) matrix A. A
is assumed to be Hermitian tridiagonal. AE(1) is ignored,
AE(2) is the (1,2) and (2,1) element, etc.
SD (input) REAL array, dimension (N)
The diagonal of the (Hermitian tri-) diagonal matrix S.
SE (input) REAL array, dimension (N)
The off-diagonal of the (Hermitian tri-) diagonal matrix S.
Not referenced if KBSND=0. If KBAND=1, then AE(1) is
ignored, SE(2) is the (1,2) and (2,1) element, etc.
U (input) REAL array, dimension (LDU, N)
The unitary matrix in the decomposition.
LDU (input) INTEGER
The leading dimension of U. LDU must be at least N.
WORK (workspace) COMPLEX array, dimension (LDWORK, M+1)
LDWORK (input) INTEGER
The leading dimension of WORK. LDWORK must be at least
max(1,M).
RWORK (workspace) REAL array, dimension (N)
RESULT (output) REAL array, dimension (2)
The values computed by the two tests described above. The
values are currently limited to 1/ulp, to avoid overflow.
=====================================================================
Parameter adjustments */
--ad;
--ae;
--sd;
--se;
u_dim1 = *ldu;
u_offset = 1 + u_dim1 * 1;
u -= u_offset;
work_dim1 = *ldwork;
work_offset = 1 + work_dim1 * 1;
work -= work_offset;
--rwork;
--result;
/* Function Body */
result[1] = 0.f;
result[2] = 0.f;
if (*n <= 0 || *m <= 0) {
return 0;
}
unfl = slamch_("Safe minimum");
ulp = slamch_("Epsilon");
/* Do Test 1
Compute the 1-norm of A. */
if (*n > 1) {
anorm = dabs(ad[1]) + dabs(ae[1]);
i__1 = *n - 1;
for (j = 2; j <= i__1; ++j) {
/* Computing MAX */
r__4 = anorm, r__5 = (r__1 = ad[j], dabs(r__1)) + (r__2 = ae[j],
dabs(r__2)) + (r__3 = ae[j - 1], dabs(r__3));
anorm = dmax(r__4,r__5);
/* L10: */
}
/* Computing MAX */
r__3 = anorm, r__4 = (r__1 = ad[*n], dabs(r__1)) + (r__2 = ae[*n - 1],
dabs(r__2));
anorm = dmax(r__3,r__4);
} else {
anorm = dabs(ad[1]);
}
anorm = dmax(anorm,unfl);
/* Norm of U*AU - S */
i__1 = *m;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = *m;
for (j = 1; j <= i__2; ++j) {
i__3 = work_subscr(i__, j);
work[i__3].r = 0.f, work[i__3].i = 0.f;
i__3 = *n;
for (k = 1; k <= i__3; ++k) {
i__4 = k;
i__5 = u_subscr(k, j);
q__1.r = ad[i__4] * u[i__5].r, q__1.i = ad[i__4] * u[i__5].i;
aukj.r = q__1.r, aukj.i = q__1.i;
if (k != *n) {
i__4 = k;
i__5 = u_subscr(k + 1, j);
q__2.r = ae[i__4] * u[i__5].r, q__2.i = ae[i__4] * u[i__5]
.i;
q__1.r = aukj.r + q__2.r, q__1.i = aukj.i + q__2.i;
aukj.r = q__1.r, aukj.i = q__1.i;
}
if (k != 1) {
i__4 = k - 1;
i__5 = u_subscr(k - 1, j);
q__2.r = ae[i__4] * u[i__5].r, q__2.i = ae[i__4] * u[i__5]
.i;
q__1.r = aukj.r + q__2.r, q__1.i = aukj.i + q__2.i;
aukj.r = q__1.r, aukj.i = q__1.i;
}
i__4 = work_subscr(i__, j);
i__5 = work_subscr(i__, j);
i__6 = u_subscr(k, i__);
q__2.r = u[i__6].r * aukj.r - u[i__6].i * aukj.i, q__2.i = u[
i__6].r * aukj.i + u[i__6].i * aukj.r;
q__1.r = work[i__5].r + q__2.r, q__1.i = work[i__5].i +
q__2.i;
work[i__4].r = q__1.r, work[i__4].i = q__1.i;
/* L20: */
}
/* L30: */
}
i__2 = work_subscr(i__, i__);
i__3 = work_subscr(i__, i__);
i__4 = i__;
q__1.r = work[i__3].r - sd[i__4], q__1.i = work[i__3].i;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
if (*kband == 1) {
if (i__ != 1) {
i__2 = work_subscr(i__, i__ - 1);
i__3 = work_subscr(i__, i__ - 1);
i__4 = i__ - 1;
q__1.r = work[i__3].r - se[i__4], q__1.i = work[i__3].i;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
}
if (i__ != *n) {
i__2 = work_subscr(i__, i__ + 1);
i__3 = work_subscr(i__, i__ + 1);
i__4 = i__;
q__1.r = work[i__3].r - se[i__4], q__1.i = work[i__3].i;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
}
}
/* L40: */
}
wnorm = clansy_("1", "L", m, &work[work_offset], m, &rwork[1]);
if (anorm > wnorm) {
result[1] = wnorm / anorm / (*m * ulp);
} else {
if (anorm < 1.f) {
/* Computing MIN */
r__1 = wnorm, r__2 = *m * anorm;
result[1] = dmin(r__1,r__2) / anorm / (*m * ulp);
} else {
/* Computing MIN */
r__1 = wnorm / anorm, r__2 = (real) (*m);
result[1] = dmin(r__1,r__2) / (*m * ulp);
}
}
/* Do Test 2
Compute U*U - I */
cgemm_("T", "N", m, m, n, &c_b2, &u[u_offset], ldu, &u[u_offset], ldu, &
c_b1, &work[work_offset], m);
i__1 = *m;
for (j = 1; j <= i__1; ++j) {
i__2 = work_subscr(j, j);
i__3 = work_subscr(j, j);
q__1.r = work[i__3].r - 1.f, q__1.i = work[i__3].i;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
/* L50: */
}
/* Computing MIN */
r__1 = (real) (*m), r__2 = clange_("1", m, m, &work[work_offset], m, &
rwork[1]);
result[2] = dmin(r__1,r__2) / (*m * ulp);
return 0;
/* End of CSTT22 */
} /* cstt22_ */
/* Subroutine */ int cspt03_(char *uplo, integer *n, complex *a, complex *
ainv, complex *work, integer *ldw, real *rwork, real *rcond, real *
resid)
{
/* System generated locals */
integer work_dim1, work_offset, i__1, i__2, i__3, i__4, i__5;
complex q__1, q__2;
/* Local variables */
integer i__, j, k;
complex t;
real eps;
integer icol, jcol, kcol, nall;
real anorm;
real ainvnm;
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CSPT03 computes the residual for a complex symmetric packed matrix */
/* times its inverse: */
/* norm( I - A*AINV ) / ( N * norm(A) * norm(AINV) * EPS ), */
/* where EPS is the machine epsilon. */
/* Arguments */
/* ========== */
/* UPLO (input) CHARACTER*1 */
/* Specifies whether the upper or lower triangular part of the */
/* complex symmetric matrix A is stored: */
/* = 'U': Upper triangular */
/* = 'L': Lower triangular */
/* N (input) INTEGER */
/* The number of rows and columns of the matrix A. N >= 0. */
/* A (input) COMPLEX array, dimension (N*(N+1)/2) */
/* The original complex symmetric matrix A, stored as a packed */
/* triangular matrix. */
/* AINV (input) COMPLEX array, dimension (N*(N+1)/2) */
/* The (symmetric) inverse of the matrix A, stored as a packed */
/* triangular matrix. */
/* WORK (workspace) COMPLEX array, dimension (LDWORK,N) */
/* LDWORK (input) INTEGER */
/* The leading dimension of the array WORK. LDWORK >= max(1,N). */
/* RWORK (workspace) REAL array, dimension (N) */
/* RCOND (output) REAL */
/* The reciprocal of the condition number of A, computed as */
/* ( 1/norm(A) ) / norm(AINV). */
/* RESID (output) REAL */
/* norm(I - A*AINV) / ( N * norm(A) * norm(AINV) * EPS ) */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Quick exit if N = 0. */
/* Parameter adjustments */
--a;
--ainv;
work_dim1 = *ldw;
work_offset = 1 + work_dim1;
work -= work_offset;
--rwork;
/* Function Body */
if (*n <= 0) {
*rcond = 1.f;
*resid = 0.f;
return 0;
}
/* Exit with RESID = 1/EPS if ANORM = 0 or AINVNM = 0. */
eps = slamch_("Epsilon");
anorm = clansp_("1", uplo, n, &a[1], &rwork[1]);
ainvnm = clansp_("1", uplo, n, &ainv[1], &rwork[1]);
if (anorm <= 0.f || ainvnm <= 0.f) {
*rcond = 0.f;
*resid = 1.f / eps;
return 0;
}
*rcond = 1.f / anorm / ainvnm;
/* Case where both A and AINV are upper triangular: */
/* Each element of - A * AINV is computed by taking the dot product */
/* of a row of A with a column of AINV. */
if (lsame_(uplo, "U")) {
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
icol = (i__ - 1) * i__ / 2 + 1;
/* Code when J <= I */
i__2 = i__;
for (j = 1; j <= i__2; ++j) {
jcol = (j - 1) * j / 2 + 1;
cdotu_(&q__1, &j, &a[icol], &c__1, &ainv[jcol], &c__1);
t.r = q__1.r, t.i = q__1.i;
jcol = jcol + (j << 1) - 1;
kcol = icol - 1;
i__3 = i__;
for (k = j + 1; k <= i__3; ++k) {
i__4 = kcol + k;
i__5 = jcol;
q__2.r = a[i__4].r * ainv[i__5].r - a[i__4].i * ainv[i__5]
.i, q__2.i = a[i__4].r * ainv[i__5].i + a[i__4].i
* ainv[i__5].r;
q__1.r = t.r + q__2.r, q__1.i = t.i + q__2.i;
t.r = q__1.r, t.i = q__1.i;
jcol += k;
/* L10: */
}
kcol += i__ << 1;
i__3 = *n;
for (k = i__ + 1; k <= i__3; ++k) {
i__4 = kcol;
i__5 = jcol;
q__2.r = a[i__4].r * ainv[i__5].r - a[i__4].i * ainv[i__5]
.i, q__2.i = a[i__4].r * ainv[i__5].i + a[i__4].i
* ainv[i__5].r;
q__1.r = t.r + q__2.r, q__1.i = t.i + q__2.i;
t.r = q__1.r, t.i = q__1.i;
kcol += k;
jcol += k;
/* L20: */
}
i__3 = i__ + j * work_dim1;
q__1.r = -t.r, q__1.i = -t.i;
work[i__3].r = q__1.r, work[i__3].i = q__1.i;
/* L30: */
}
/* Code when J > I */
i__2 = *n;
for (j = i__ + 1; j <= i__2; ++j) {
jcol = (j - 1) * j / 2 + 1;
cdotu_(&q__1, &i__, &a[icol], &c__1, &ainv[jcol], &c__1);
t.r = q__1.r, t.i = q__1.i;
--jcol;
kcol = icol + (i__ << 1) - 1;
i__3 = j;
for (k = i__ + 1; k <= i__3; ++k) {
i__4 = kcol;
i__5 = jcol + k;
q__2.r = a[i__4].r * ainv[i__5].r - a[i__4].i * ainv[i__5]
.i, q__2.i = a[i__4].r * ainv[i__5].i + a[i__4].i
* ainv[i__5].r;
q__1.r = t.r + q__2.r, q__1.i = t.i + q__2.i;
t.r = q__1.r, t.i = q__1.i;
kcol += k;
/* L40: */
}
jcol += j << 1;
i__3 = *n;
for (k = j + 1; k <= i__3; ++k) {
i__4 = kcol;
i__5 = jcol;
q__2.r = a[i__4].r * ainv[i__5].r - a[i__4].i * ainv[i__5]
.i, q__2.i = a[i__4].r * ainv[i__5].i + a[i__4].i
* ainv[i__5].r;
q__1.r = t.r + q__2.r, q__1.i = t.i + q__2.i;
t.r = q__1.r, t.i = q__1.i;
kcol += k;
jcol += k;
/* L50: */
}
i__3 = i__ + j * work_dim1;
q__1.r = -t.r, q__1.i = -t.i;
work[i__3].r = q__1.r, work[i__3].i = q__1.i;
/* L60: */
}
/* L70: */
}
} else {
/* Case where both A and AINV are lower triangular */
nall = *n * (*n + 1) / 2;
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
/* Code when J <= I */
icol = nall - (*n - i__ + 1) * (*n - i__ + 2) / 2 + 1;
i__2 = i__;
for (j = 1; j <= i__2; ++j) {
jcol = nall - (*n - j) * (*n - j + 1) / 2 - (*n - i__);
i__3 = *n - i__ + 1;
cdotu_(&q__1, &i__3, &a[icol], &c__1, &ainv[jcol], &c__1);
t.r = q__1.r, t.i = q__1.i;
kcol = i__;
jcol = j;
i__3 = j - 1;
for (k = 1; k <= i__3; ++k) {
i__4 = kcol;
i__5 = jcol;
q__2.r = a[i__4].r * ainv[i__5].r - a[i__4].i * ainv[i__5]
.i, q__2.i = a[i__4].r * ainv[i__5].i + a[i__4].i
* ainv[i__5].r;
q__1.r = t.r + q__2.r, q__1.i = t.i + q__2.i;
t.r = q__1.r, t.i = q__1.i;
jcol = jcol + *n - k;
kcol = kcol + *n - k;
/* L80: */
}
jcol -= j;
i__3 = i__ - 1;
for (k = j; k <= i__3; ++k) {
i__4 = kcol;
i__5 = jcol + k;
q__2.r = a[i__4].r * ainv[i__5].r - a[i__4].i * ainv[i__5]
.i, q__2.i = a[i__4].r * ainv[i__5].i + a[i__4].i
* ainv[i__5].r;
q__1.r = t.r + q__2.r, q__1.i = t.i + q__2.i;
t.r = q__1.r, t.i = q__1.i;
kcol = kcol + *n - k;
/* L90: */
}
i__3 = i__ + j * work_dim1;
q__1.r = -t.r, q__1.i = -t.i;
work[i__3].r = q__1.r, work[i__3].i = q__1.i;
/* L100: */
}
/* Code when J > I */
icol = nall - (*n - i__) * (*n - i__ + 1) / 2;
i__2 = *n;
for (j = i__ + 1; j <= i__2; ++j) {
jcol = nall - (*n - j + 1) * (*n - j + 2) / 2 + 1;
i__3 = *n - j + 1;
cdotu_(&q__1, &i__3, &a[icol - *n + j], &c__1, &ainv[jcol], &
c__1);
t.r = q__1.r, t.i = q__1.i;
kcol = i__;
jcol = j;
i__3 = i__ - 1;
for (k = 1; k <= i__3; ++k) {
i__4 = kcol;
i__5 = jcol;
q__2.r = a[i__4].r * ainv[i__5].r - a[i__4].i * ainv[i__5]
.i, q__2.i = a[i__4].r * ainv[i__5].i + a[i__4].i
* ainv[i__5].r;
q__1.r = t.r + q__2.r, q__1.i = t.i + q__2.i;
t.r = q__1.r, t.i = q__1.i;
jcol = jcol + *n - k;
kcol = kcol + *n - k;
/* L110: */
}
kcol -= i__;
i__3 = j - 1;
for (k = i__; k <= i__3; ++k) {
i__4 = kcol + k;
i__5 = jcol;
q__2.r = a[i__4].r * ainv[i__5].r - a[i__4].i * ainv[i__5]
.i, q__2.i = a[i__4].r * ainv[i__5].i + a[i__4].i
* ainv[i__5].r;
q__1.r = t.r + q__2.r, q__1.i = t.i + q__2.i;
t.r = q__1.r, t.i = q__1.i;
jcol = jcol + *n - k;
/* L120: */
}
i__3 = i__ + j * work_dim1;
q__1.r = -t.r, q__1.i = -t.i;
work[i__3].r = q__1.r, work[i__3].i = q__1.i;
/* L130: */
}
/* L140: */
}
}
/* Add the identity matrix to WORK . */
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = i__ + i__ * work_dim1;
i__3 = i__ + i__ * work_dim1;
q__1.r = work[i__3].r + 1.f, q__1.i = work[i__3].i;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
/* L150: */
}
/* Compute norm(I - A*AINV) / (N * norm(A) * norm(AINV) * EPS) */
*resid = clange_("1", n, n, &work[work_offset], ldw, &rwork[1])
;
*resid = *resid * *rcond / eps / (real) (*n);
return 0;
/* End of CSPT03 */
} /* cspt03_ */
doublereal cqrt17_(char *trans, integer *iresid, integer *m, integer *n,
integer *nrhs, complex *a, integer *lda, complex *x, integer *ldx,
complex *b, integer *ldb, complex *c__, complex *work, integer *lwork)
{
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, c_dim1, c_offset, x_dim1,
x_offset, i__1;
real ret_val;
/* Local variables */
real err;
integer iscl, info;
extern /* Subroutine */ int cgemm_(char *, char *, integer *, integer *,
integer *, complex *, complex *, integer *, complex *, integer *,
complex *, complex *, integer *);
extern logical lsame_(char *, char *);
real norma, normb;
integer ncols;
real normx, rwork[1];
integer nrows;
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *);
extern /* Subroutine */ int clascl_(char *, integer *, integer *, real *,
real *, integer *, integer *, complex *, integer *, integer *);
extern doublereal slamch_(char *);
extern /* Subroutine */ int clacpy_(char *, integer *, integer *, complex
*, integer *, complex *, integer *), xerbla_(char *,
integer *);
real bignum, smlnum, normrs;
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CQRT17 computes the ratio */
/* || R'*op(A) ||/(||A||*alpha*max(M,N,NRHS)*eps) */
/* where R = op(A)*X - B, op(A) is A or A', and */
/* alpha = ||B|| if IRESID = 1 (zero-residual problem) */
/* alpha = ||R|| if IRESID = 2 (otherwise). */
/* Arguments */
/* ========= */
/* TRANS (input) CHARACTER*1 */
/* Specifies whether or not the transpose of A is used. */
/* = 'N': No transpose, op(A) = A. */
/* = 'C': Conjugate transpose, op(A) = A'. */
/* IRESID (input) INTEGER */
/* IRESID = 1 indicates zero-residual problem. */
/* IRESID = 2 indicates non-zero residual. */
/* M (input) INTEGER */
/* The number of rows of the matrix A. */
/* If TRANS = 'N', the number of rows of the matrix B. */
/* If TRANS = 'C', the number of rows of the matrix X. */
/* N (input) INTEGER */
/* The number of columns of the matrix A. */
/* If TRANS = 'N', the number of rows of the matrix X. */
/* If TRANS = 'C', the number of rows of the matrix B. */
/* NRHS (input) INTEGER */
/* The number of columns of the matrices X and B. */
/* A (input) COMPLEX array, dimension (LDA,N) */
/* The m-by-n matrix A. */
/* LDA (input) INTEGER */
/* The leading dimension of the array A. LDA >= M. */
/* X (input) COMPLEX array, dimension (LDX,NRHS) */
/* If TRANS = 'N', the n-by-nrhs matrix X. */
/* If TRANS = 'C', the m-by-nrhs matrix X. */
/* LDX (input) INTEGER */
/* The leading dimension of the array X. */
/* If TRANS = 'N', LDX >= N. */
/* If TRANS = 'C', LDX >= M. */
/* B (input) COMPLEX array, dimension (LDB,NRHS) */
/* If TRANS = 'N', the m-by-nrhs matrix B. */
/* If TRANS = 'C', the n-by-nrhs matrix B. */
/* LDB (input) INTEGER */
/* The leading dimension of the array B. */
/* If TRANS = 'N', LDB >= M. */
/* If TRANS = 'C', LDB >= N. */
/* C (workspace) COMPLEX array, dimension (LDB,NRHS) */
/* WORK (workspace) COMPLEX array, dimension (LWORK) */
/* LWORK (input) INTEGER */
/* The length of the array WORK. LWORK >= NRHS*(M+N). */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
x_dim1 = *ldx;
x_offset = 1 + x_dim1;
x -= x_offset;
c_dim1 = *ldb;
c_offset = 1 + c_dim1;
c__ -= c_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1;
b -= b_offset;
--work;
/* Function Body */
ret_val = 0.f;
if (lsame_(trans, "N")) {
nrows = *m;
ncols = *n;
} else if (lsame_(trans, "C")) {
nrows = *n;
ncols = *m;
} else {
xerbla_("CQRT17", &c__1);
return ret_val;
}
if (*lwork < ncols * *nrhs) {
xerbla_("CQRT17", &c__13);
return ret_val;
}
if (*m <= 0 || *n <= 0 || *nrhs <= 0) {
return ret_val;
}
norma = clange_("One-norm", m, n, &a[a_offset], lda, rwork);
smlnum = slamch_("Safe minimum") / slamch_("Precision");
bignum = 1.f / smlnum;
iscl = 0;
/* compute residual and scale it */
clacpy_("All", &nrows, nrhs, &b[b_offset], ldb, &c__[c_offset], ldb);
cgemm_(trans, "No transpose", &nrows, nrhs, &ncols, &c_b13, &a[a_offset],
lda, &x[x_offset], ldx, &c_b14, &c__[c_offset], ldb);
normrs = clange_("Max", &nrows, nrhs, &c__[c_offset], ldb, rwork);
if (normrs > smlnum) {
iscl = 1;
clascl_("General", &c__0, &c__0, &normrs, &c_b19, &nrows, nrhs, &c__[
c_offset], ldb, &info);
}
/* compute R'*A */
cgemm_("Conjugate transpose", trans, nrhs, &ncols, &nrows, &c_b14, &c__[
c_offset], ldb, &a[a_offset], lda, &c_b22, &work[1], nrhs);
/* compute and properly scale error */
err = clange_("One-norm", nrhs, &ncols, &work[1], nrhs, rwork);
if (norma != 0.f) {
err /= norma;
}
if (iscl == 1) {
err *= normrs;
}
if (*iresid == 1) {
normb = clange_("One-norm", &nrows, nrhs, &b[b_offset], ldb, rwork);
if (normb != 0.f) {
err /= normb;
}
} else {
normx = clange_("One-norm", &ncols, nrhs, &x[x_offset], ldx, rwork);
if (normx != 0.f) {
err /= normx;
}
}
/* Computing MAX */
i__1 = max(*m,*n);
ret_val = err / (slamch_("Epsilon") * (real) max(i__1,*nrhs));
return ret_val;
/* End of CQRT17 */
} /* cqrt17_ */
/* Subroutine */ int cgelsy_(integer *m, integer *n, integer *nrhs, complex *
a, integer *lda, complex *b, integer *ldb, integer *jpvt, real *rcond,
integer *rank, complex *work, integer *lwork, real *rwork, integer *
info)
{
/* -- LAPACK driver routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
June 30, 1999
Purpose
=======
CGELSY computes the minimum-norm solution to a complex linear least
squares problem:
minimize || A * X - B ||
using a complete orthogonal factorization of A. A is an M-by-N
matrix which may be rank-deficient.
Several right hand side vectors b and solution vectors x can be
handled in a single call; they are stored as the columns of the
M-by-NRHS right hand side matrix B and the N-by-NRHS solution
matrix X.
The routine first computes a QR factorization with column pivoting:
A * P = Q * [ R11 R12 ]
[ 0 R22 ]
with R11 defined as the largest leading submatrix whose estimated
condition number is less than 1/RCOND. The order of R11, RANK,
is the effective rank of A.
Then, R22 is considered to be negligible, and R12 is annihilated
by unitary transformations from the right, arriving at the
complete orthogonal factorization:
A * P = Q * [ T11 0 ] * Z
[ 0 0 ]
The minimum-norm solution is then
X = P * Z' [ inv(T11)*Q1'*B ]
[ 0 ]
where Q1 consists of the first RANK columns of Q.
This routine is basically identical to the original xGELSX except
three differences:
o The permutation of matrix B (the right hand side) is faster and
more simple.
o The call to the subroutine xGEQPF has been substituted by the
the call to the subroutine xGEQP3. This subroutine is a Blas-3
version of the QR factorization with column pivoting.
o Matrix B (the right hand side) is updated with Blas-3.
Arguments
=========
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
NRHS (input) INTEGER
The number of right hand sides, i.e., the number of
columns of matrices B and X. NRHS >= 0.
A (input/output) COMPLEX array, dimension (LDA,N)
On entry, the M-by-N matrix A.
On exit, A has been overwritten by details of its
complete orthogonal factorization.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
B (input/output) COMPLEX array, dimension (LDB,NRHS)
On entry, the M-by-NRHS right hand side matrix B.
On exit, the N-by-NRHS solution matrix X.
LDB (input) INTEGER
The leading dimension of the array B. LDB >= max(1,M,N).
JPVT (input/output) INTEGER array, dimension (N)
On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted
to the front of AP, otherwise column i is a free column.
On exit, if JPVT(i) = k, then the i-th column of A*P
was the k-th column of A.
RCOND (input) REAL
RCOND is used to determine the effective rank of A, which
is defined as the order of the largest leading triangular
submatrix R11 in the QR factorization with pivoting of A,
whose estimated condition number < 1/RCOND.
RANK (output) INTEGER
The effective rank of A, i.e., the order of the submatrix
R11. This is the same as the order of the submatrix T11
in the complete orthogonal factorization of A.
WORK (workspace/output) COMPLEX array, dimension (LWORK)
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
LWORK (input) INTEGER
The dimension of the array WORK.
The unblocked strategy requires that:
LWORK >= MN + MAX( 2*MN, N+1, MN+NRHS )
where MN = min(M,N).
The block algorithm requires that:
LWORK >= MN + MAX( 2*MN, NB*(N+1), MN+MN*NB, MN+NB*NRHS )
where NB is an upper bound on the blocksize returned
by ILAENV for the routines CGEQP3, CTZRZF, CTZRQF, CUNMQR,
and CUNMRZ.
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) REAL array, dimension (2*N)
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
Further Details
===============
Based on contributions by
A. Petitet, Computer Science Dept., Univ. of Tenn., Knoxville, USA
E. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
=====================================================================
Parameter adjustments */
/* 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 integer c__0 = 0;
static integer c__2 = 2;
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, i__1, i__2, i__3, i__4;
real r__1, r__2;
complex q__1;
/* Builtin functions */
double c_abs(complex *);
/* Local variables */
static real anrm, bnrm, smin, smax;
static integer i__, j, iascl, ibscl;
extern /* Subroutine */ int ccopy_(integer *, complex *, integer *,
complex *, integer *);
static integer ismin, ismax;
static complex c1, c2;
extern /* Subroutine */ int ctrsm_(char *, char *, char *, char *,
integer *, integer *, complex *, complex *, integer *, complex *,
integer *), claic1_(integer *,
integer *, complex *, real *, complex *, complex *, real *,
complex *, complex *);
static real wsize;
static complex s1, s2;
extern /* Subroutine */ int cgeqp3_(integer *, integer *, complex *,
integer *, integer *, complex *, complex *, integer *, real *,
integer *);
static integer nb;
extern /* Subroutine */ int slabad_(real *, real *);
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *);
static integer mn;
extern /* Subroutine */ int clascl_(char *, integer *, integer *, real *,
real *, integer *, integer *, complex *, integer *, integer *);
extern doublereal slamch_(char *);
extern /* Subroutine */ int claset_(char *, integer *, integer *, complex
*, complex *, complex *, integer *), xerbla_(char *,
integer *);
extern integer ilaenv_(integer *, char *, char *, integer *, integer *,
integer *, integer *, ftnlen, ftnlen);
static real bignum;
static integer nb1, nb2, nb3, nb4;
extern /* Subroutine */ int cunmqr_(char *, char *, integer *, integer *,
integer *, complex *, integer *, complex *, complex *, integer *,
complex *, integer *, integer *);
static real sminpr, smaxpr, smlnum;
extern /* Subroutine */ int cunmrz_(char *, char *, integer *, integer *,
integer *, integer *, complex *, integer *, complex *, complex *,
integer *, complex *, integer *, integer *);
static integer lwkopt;
static logical lquery;
extern /* Subroutine */ int ctzrzf_(integer *, integer *, complex *,
integer *, complex *, complex *, integer *, integer *);
#define a_subscr(a_1,a_2) (a_2)*a_dim1 + a_1
#define a_ref(a_1,a_2) a[a_subscr(a_1,a_2)]
#define b_subscr(a_1,a_2) (a_2)*b_dim1 + a_1
#define b_ref(a_1,a_2) b[b_subscr(a_1,a_2)]
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1 * 1;
b -= b_offset;
--jpvt;
--work;
--rwork;
/* Function Body */
mn = min(*m,*n);
ismin = mn + 1;
ismax = (mn << 1) + 1;
/* Test the input arguments. */
*info = 0;
nb1 = ilaenv_(&c__1, "CGEQRF", " ", m, n, &c_n1, &c_n1, (ftnlen)6, (
ftnlen)1);
nb2 = ilaenv_(&c__1, "CGERQF", " ", m, n, &c_n1, &c_n1, (ftnlen)6, (
ftnlen)1);
nb3 = ilaenv_(&c__1, "CUNMQR", " ", m, n, nrhs, &c_n1, (ftnlen)6, (ftnlen)
1);
nb4 = ilaenv_(&c__1, "CUNMRQ", " ", m, n, nrhs, &c_n1, (ftnlen)6, (ftnlen)
1);
/* Computing MAX */
i__1 = max(nb1,nb2), i__1 = max(i__1,nb3);
nb = max(i__1,nb4);
/* Computing MAX */
i__1 = 1, i__2 = mn + (*n << 1) + nb * (*n + 1), i__1 = max(i__1,i__2),
i__2 = (mn << 1) + nb * *nrhs;
lwkopt = max(i__1,i__2);
q__1.r = (real) lwkopt, q__1.i = 0.f;
work[1].r = q__1.r, work[1].i = q__1.i;
lquery = *lwork == -1;
if (*m < 0) {
*info = -1;
} else if (*n < 0) {
*info = -2;
} else if (*nrhs < 0) {
*info = -3;
} else if (*lda < max(1,*m)) {
*info = -5;
} else /* if(complicated condition) */ {
/* Computing MAX */
i__1 = max(1,*m);
if (*ldb < max(i__1,*n)) {
*info = -7;
} else /* if(complicated condition) */ {
/* Computing MAX */
i__1 = mn << 1, i__2 = *n + 1, i__1 = max(i__1,i__2), i__2 = mn +
*nrhs;
if (*lwork < mn + max(i__1,i__2) && ! lquery) {
*info = -12;
}
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CGELSY", &i__1);
return 0;
} else if (lquery) {
return 0;
}
/* Quick return if possible
Computing MIN */
i__1 = min(*m,*n);
if (min(i__1,*nrhs) == 0) {
*rank = 0;
return 0;
}
/* Get machine parameters */
smlnum = slamch_("S") / slamch_("P");
bignum = 1.f / smlnum;
slabad_(&smlnum, &bignum);
/* Scale A, B if max entries outside range [SMLNUM,BIGNUM] */
anrm = clange_("M", m, n, &a[a_offset], lda, &rwork[1]);
iascl = 0;
if (anrm > 0.f && anrm < smlnum) {
/* Scale matrix norm up to SMLNUM */
clascl_("G", &c__0, &c__0, &anrm, &smlnum, m, n, &a[a_offset], lda,
info);
iascl = 1;
} else if (anrm > bignum) {
/* Scale matrix norm down to BIGNUM */
clascl_("G", &c__0, &c__0, &anrm, &bignum, m, n, &a[a_offset], lda,
info);
iascl = 2;
} else if (anrm == 0.f) {
/* Matrix all zero. Return zero solution. */
i__1 = max(*m,*n);
claset_("F", &i__1, nrhs, &c_b1, &c_b1, &b[b_offset], ldb);
*rank = 0;
goto L70;
}
bnrm = clange_("M", m, nrhs, &b[b_offset], ldb, &rwork[1]);
ibscl = 0;
if (bnrm > 0.f && bnrm < smlnum) {
/* Scale matrix norm up to SMLNUM */
clascl_("G", &c__0, &c__0, &bnrm, &smlnum, m, nrhs, &b[b_offset], ldb,
info);
ibscl = 1;
} else if (bnrm > bignum) {
/* Scale matrix norm down to BIGNUM */
clascl_("G", &c__0, &c__0, &bnrm, &bignum, m, nrhs, &b[b_offset], ldb,
info);
ibscl = 2;
}
/* Compute QR factorization with column pivoting of A:
A * P = Q * R */
i__1 = *lwork - mn;
cgeqp3_(m, n, &a[a_offset], lda, &jpvt[1], &work[1], &work[mn + 1], &i__1,
&rwork[1], info);
i__1 = mn + 1;
wsize = mn + work[i__1].r;
/* complex workspace: MN+NB*(N+1). real workspace 2*N.
Details of Householder rotations stored in WORK(1:MN).
Determine RANK using incremental condition estimation */
i__1 = ismin;
work[i__1].r = 1.f, work[i__1].i = 0.f;
i__1 = ismax;
work[i__1].r = 1.f, work[i__1].i = 0.f;
smax = c_abs(&a_ref(1, 1));
smin = smax;
if (c_abs(&a_ref(1, 1)) == 0.f) {
*rank = 0;
i__1 = max(*m,*n);
claset_("F", &i__1, nrhs, &c_b1, &c_b1, &b[b_offset], ldb);
goto L70;
} else {
*rank = 1;
}
L10:
if (*rank < mn) {
i__ = *rank + 1;
claic1_(&c__2, rank, &work[ismin], &smin, &a_ref(1, i__), &a_ref(i__,
i__), &sminpr, &s1, &c1);
claic1_(&c__1, rank, &work[ismax], &smax, &a_ref(1, i__), &a_ref(i__,
i__), &smaxpr, &s2, &c2);
if (smaxpr * *rcond <= sminpr) {
i__1 = *rank;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = ismin + i__ - 1;
i__3 = ismin + i__ - 1;
q__1.r = s1.r * work[i__3].r - s1.i * work[i__3].i, q__1.i =
s1.r * work[i__3].i + s1.i * work[i__3].r;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
i__2 = ismax + i__ - 1;
i__3 = ismax + i__ - 1;
q__1.r = s2.r * work[i__3].r - s2.i * work[i__3].i, q__1.i =
s2.r * work[i__3].i + s2.i * work[i__3].r;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
/* L20: */
}
i__1 = ismin + *rank;
work[i__1].r = c1.r, work[i__1].i = c1.i;
i__1 = ismax + *rank;
work[i__1].r = c2.r, work[i__1].i = c2.i;
smin = sminpr;
smax = smaxpr;
++(*rank);
goto L10;
}
}
/* complex workspace: 3*MN.
Logically partition R = [ R11 R12 ]
[ 0 R22 ]
where R11 = R(1:RANK,1:RANK)
[R11,R12] = [ T11, 0 ] * Y */
if (*rank < *n) {
i__1 = *lwork - (mn << 1);
ctzrzf_(rank, n, &a[a_offset], lda, &work[mn + 1], &work[(mn << 1) +
1], &i__1, info);
}
/* complex workspace: 2*MN.
Details of Householder rotations stored in WORK(MN+1:2*MN)
B(1:M,1:NRHS) := Q' * B(1:M,1:NRHS) */
i__1 = *lwork - (mn << 1);
cunmqr_("Left", "Conjugate transpose", m, nrhs, &mn, &a[a_offset], lda, &
work[1], &b[b_offset], ldb, &work[(mn << 1) + 1], &i__1, info);
/* Computing MAX */
i__1 = (mn << 1) + 1;
r__1 = wsize, r__2 = (mn << 1) + work[i__1].r;
wsize = dmax(r__1,r__2);
/* complex workspace: 2*MN+NB*NRHS.
B(1:RANK,1:NRHS) := inv(T11) * B(1:RANK,1:NRHS) */
ctrsm_("Left", "Upper", "No transpose", "Non-unit", rank, nrhs, &c_b2, &a[
a_offset], lda, &b[b_offset], ldb);
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = *rank + 1; i__ <= i__2; ++i__) {
i__3 = b_subscr(i__, j);
b[i__3].r = 0.f, b[i__3].i = 0.f;
/* L30: */
}
/* L40: */
}
/* B(1:N,1:NRHS) := Y' * B(1:N,1:NRHS) */
if (*rank < *n) {
i__1 = *n - *rank;
i__2 = *lwork - (mn << 1);
cunmrz_("Left", "Conjugate transpose", n, nrhs, rank, &i__1, &a[
a_offset], lda, &work[mn + 1], &b[b_offset], ldb, &work[(mn <<
1) + 1], &i__2, info);
}
/* complex workspace: 2*MN+NRHS.
B(1:N,1:NRHS) := P * B(1:N,1:NRHS) */
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = jpvt[i__];
i__4 = b_subscr(i__, j);
work[i__3].r = b[i__4].r, work[i__3].i = b[i__4].i;
/* L50: */
}
ccopy_(n, &work[1], &c__1, &b_ref(1, j), &c__1);
/* L60: */
}
/* complex workspace: N.
Undo scaling */
if (iascl == 1) {
clascl_("G", &c__0, &c__0, &anrm, &smlnum, n, nrhs, &b[b_offset], ldb,
info);
clascl_("U", &c__0, &c__0, &smlnum, &anrm, rank, rank, &a[a_offset],
lda, info);
} else if (iascl == 2) {
clascl_("G", &c__0, &c__0, &anrm, &bignum, n, nrhs, &b[b_offset], ldb,
info);
clascl_("U", &c__0, &c__0, &bignum, &anrm, rank, rank, &a[a_offset],
lda, info);
}
if (ibscl == 1) {
clascl_("G", &c__0, &c__0, &smlnum, &bnrm, n, nrhs, &b[b_offset], ldb,
info);
} else if (ibscl == 2) {
clascl_("G", &c__0, &c__0, &bignum, &bnrm, n, nrhs, &b[b_offset], ldb,
info);
}
L70:
q__1.r = (real) lwkopt, q__1.i = 0.f;
work[1].r = q__1.r, work[1].i = q__1.i;
return 0;
/* End of CGELSY */
} /* cgelsy_ */
/* Subroutine */ int cdrvgb_(logical *dotype, integer *nn, integer *nval,
integer *nrhs, real *thresh, logical *tsterr, complex *a, integer *la,
complex *afb, integer *lafb, complex *asav, complex *b, complex *
bsav, complex *x, complex *xact, real *s, complex *work, real *rwork,
integer *iwork, integer *nout)
{
/* Initialized data */
static integer iseedy[4] = { 1988,1989,1990,1991 };
static char transs[1*3] = "N" "T" "C";
static char facts[1*3] = "F" "N" "E";
static char equeds[1*4] = "N" "R" "C" "B";
/* Format strings */
static char fmt_9999[] = "(\002 *** In CDRVGB, LA=\002,i5,\002 is too sm"
"all for N=\002,i5,\002, KU=\002,i5,\002, KL=\002,i5,/\002 ==> In"
"crease LA to at least \002,i5)";
static char fmt_9998[] = "(\002 *** In CDRVGB, LAFB=\002,i5,\002 is too "
"small for N=\002,i5,\002, KU=\002,i5,\002, KL=\002,i5,/\002 ==> "
"Increase LAFB to at least \002,i5)";
static char fmt_9997[] = "(1x,a6,\002, N=\002,i5,\002, KL=\002,i5,\002, "
"KU=\002,i5,\002, type \002,i1,\002, test(\002,i1,\002)=\002,g12."
"5)";
static char fmt_9995[] = "(1x,a6,\002( '\002,a1,\002','\002,a1,\002',"
"\002,i5,\002,\002,i5,\002,\002,i5,\002,...), EQUED='\002,a1,\002"
"', type \002,i1,\002, test(\002,i1,\002)=\002,g12.5)";
static char fmt_9996[] = "(1x,a6,\002( '\002,a1,\002','\002,a1,\002',"
"\002,i5,\002,\002,i5,\002,\002,i5,\002,...), type \002,i1,\002, "
"test(\002,i1,\002)=\002,g12.5)";
/* System generated locals */
address a__1[2];
integer i__1, i__2, i__3, i__4, i__5, i__6, i__7, i__8, i__9, i__10,
i__11[2];
real r__1, r__2;
char ch__1[2];
/* Builtin functions */
/* Subroutine */ int s_copy(char *, char *, ftnlen, ftnlen);
integer s_wsfe(cilist *), do_fio(integer *, char *, ftnlen), e_wsfe(void);
/* Subroutine */ int s_cat(char *, char **, integer *, integer *, ftnlen);
double c_abs(complex *);
/* Local variables */
integer i__, j, k, n, i1, i2, k1, nb, in, kl, ku, nt, lda, ldb, ikl, nkl,
iku, nku;
char fact[1];
integer ioff, mode;
real amax;
char path[3];
integer imat, info;
char dist[1];
real rdum[1];
char type__[1];
integer nrun, ldafb;
extern /* Subroutine */ int cgbt01_(integer *, integer *, integer *,
integer *, complex *, integer *, complex *, integer *, integer *,
complex *, real *), cgbt02_(char *, integer *, integer *, integer
*, integer *, integer *, complex *, integer *, complex *, integer
*, complex *, integer *, real *), cgbt05_(char *, integer
*, integer *, integer *, integer *, complex *, integer *, complex
*, integer *, complex *, integer *, complex *, integer *, real *,
real *, real *);
integer ifact;
extern /* Subroutine */ int cget04_(integer *, integer *, complex *,
integer *, complex *, integer *, real *, real *);
integer nfail, iseed[4], nfact;
extern logical lsame_(char *, char *);
char equed[1];
integer nbmin;
real rcond, roldc;
extern /* Subroutine */ int cgbsv_(integer *, integer *, integer *,
integer *, complex *, integer *, integer *, complex *, integer *,
integer *);
integer nimat;
real roldi;
extern doublereal sget06_(real *, real *);
real anorm;
integer itran;
logical equil;
real roldo;
char trans[1];
integer izero, nerrs;
logical zerot;
char xtype[1];
extern /* Subroutine */ int clatb4_(char *, integer *, integer *, integer
*, char *, integer *, integer *, real *, integer *, real *, char *
), aladhd_(integer *, char *);
extern doublereal clangb_(char *, integer *, integer *, integer *,
complex *, integer *, real *), clange_(char *, integer *,
integer *, complex *, integer *, real *);
extern /* Subroutine */ int claqgb_(integer *, integer *, integer *,
integer *, complex *, integer *, real *, real *, real *, real *,
real *, char *), alaerh_(char *, char *, integer *,
integer *, char *, integer *, integer *, integer *, integer *,
integer *, integer *, integer *, integer *, integer *);
logical prefac;
real colcnd;
extern doublereal clantb_(char *, char *, char *, integer *, integer *,
complex *, integer *, real *);
extern /* Subroutine */ int cgbequ_(integer *, integer *, integer *,
integer *, complex *, integer *, real *, real *, real *, real *,
real *, integer *);
real rcondc;
extern doublereal slamch_(char *);
logical nofact;
extern /* Subroutine */ int cgbtrf_(integer *, integer *, integer *,
integer *, complex *, integer *, integer *, integer *);
integer iequed;
extern /* Subroutine */ int clacpy_(char *, integer *, integer *, complex
*, integer *, complex *, integer *);
real rcondi;
extern /* Subroutine */ int clarhs_(char *, char *, char *, char *,
integer *, integer *, integer *, integer *, integer *, complex *,
integer *, complex *, integer *, complex *, integer *, integer *,
integer *), claset_(char *,
integer *, integer *, complex *, complex *, complex *, integer *), alasvm_(char *, integer *, integer *, integer *, integer
*);
real cndnum, anormi, rcondo, ainvnm;
extern /* Subroutine */ int cgbtrs_(char *, integer *, integer *, integer
*, integer *, complex *, integer *, integer *, complex *, integer
*, integer *), clatms_(integer *, integer *, char *,
integer *, char *, real *, integer *, real *, real *, integer *,
integer *, char *, complex *, integer *, complex *, integer *);
logical trfcon;
real anormo, rowcnd;
extern /* Subroutine */ int cgbsvx_(char *, char *, integer *, integer *,
integer *, integer *, complex *, integer *, complex *, integer *,
integer *, char *, real *, real *, complex *, integer *, complex *
, integer *, real *, real *, real *, complex *, real *, integer *), xlaenv_(integer *, integer *);
real anrmpv;
extern /* Subroutine */ int cerrvx_(char *, integer *);
real result[7], rpvgrw;
/* Fortran I/O blocks */
static cilist io___26 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___27 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___65 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___73 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___74 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___75 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___76 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___77 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___78 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___79 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___80 = { 0, 0, 0, fmt_9996, 0 };
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CDRVGB tests the driver routines CGBSV and -SVX. */
/* Arguments */
/* ========= */
/* DOTYPE (input) LOGICAL array, dimension (NTYPES) */
/* The matrix types to be used for testing. Matrices of type j */
/* (for 1 <= j <= NTYPES) are used for testing if DOTYPE(j) = */
/* .TRUE.; if DOTYPE(j) = .FALSE., then type j is not used. */
/* NN (input) INTEGER */
/* The number of values of N contained in the vector NVAL. */
/* NVAL (input) INTEGER array, dimension (NN) */
/* The values of the matrix column dimension N. */
/* NRHS (input) INTEGER */
/* The number of right hand side vectors to be generated for */
/* each linear system. */
/* THRESH (input) REAL */
/* The threshold value for the test ratios. A result is */
/* included in the output file if RESULT >= THRESH. To have */
/* every test ratio printed, use THRESH = 0. */
/* TSTERR (input) LOGICAL */
/* Flag that indicates whether error exits are to be tested. */
/* A (workspace) COMPLEX array, dimension (LA) */
/* LA (input) INTEGER */
/* The length of the array A. LA >= (2*NMAX-1)*NMAX */
/* where NMAX is the largest entry in NVAL. */
/* AFB (workspace) COMPLEX array, dimension (LAFB) */
/* LAFB (input) INTEGER */
/* The length of the array AFB. LAFB >= (3*NMAX-2)*NMAX */
/* where NMAX is the largest entry in NVAL. */
/* ASAV (workspace) COMPLEX array, dimension (LA) */
/* B (workspace) COMPLEX array, dimension (NMAX*NRHS) */
/* BSAV (workspace) COMPLEX array, dimension (NMAX*NRHS) */
/* X (workspace) COMPLEX array, dimension (NMAX*NRHS) */
/* XACT (workspace) COMPLEX array, dimension (NMAX*NRHS) */
/* S (workspace) REAL array, dimension (2*NMAX) */
/* WORK (workspace) COMPLEX array, dimension */
/* (NMAX*max(3,NRHS,NMAX)) */
/* RWORK (workspace) REAL array, dimension */
/* (max(NMAX,2*NRHS)) */
/* IWORK (workspace) INTEGER array, dimension (NMAX) */
/* NOUT (input) INTEGER */
/* The unit number for output. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Scalars in Common .. */
/* .. */
/* .. Common blocks .. */
/* .. */
/* .. Data statements .. */
/* Parameter adjustments */
--iwork;
--rwork;
--work;
--s;
--xact;
--x;
--bsav;
--b;
--asav;
--afb;
--a;
--nval;
--dotype;
/* Function Body */
/* .. */
/* .. Executable Statements .. */
/* Initialize constants and the random number seed. */
s_copy(path, "Complex precision", (ftnlen)1, (ftnlen)17);
s_copy(path + 1, "GB", (ftnlen)2, (ftnlen)2);
nrun = 0;
nfail = 0;
nerrs = 0;
for (i__ = 1; i__ <= 4; ++i__) {
iseed[i__ - 1] = iseedy[i__ - 1];
/* L10: */
}
/* Test the error exits */
if (*tsterr) {
cerrvx_(path, nout);
}
infoc_1.infot = 0;
/* Set the block size and minimum block size for testing. */
nb = 1;
nbmin = 2;
xlaenv_(&c__1, &nb);
xlaenv_(&c__2, &nbmin);
/* Do for each value of N in NVAL */
i__1 = *nn;
for (in = 1; in <= i__1; ++in) {
n = nval[in];
ldb = max(n,1);
*(unsigned char *)xtype = 'N';
/* Set limits on the number of loop iterations. */
/* Computing MAX */
i__2 = 1, i__3 = min(n,4);
nkl = max(i__2,i__3);
if (n == 0) {
nkl = 1;
}
nku = nkl;
nimat = 8;
if (n <= 0) {
nimat = 1;
}
i__2 = nkl;
for (ikl = 1; ikl <= i__2; ++ikl) {
/* Do for KL = 0, N-1, (3N-1)/4, and (N+1)/4. This order makes */
/* it easier to skip redundant values for small values of N. */
if (ikl == 1) {
kl = 0;
} else if (ikl == 2) {
/* Computing MAX */
i__3 = n - 1;
kl = max(i__3,0);
} else if (ikl == 3) {
kl = (n * 3 - 1) / 4;
} else if (ikl == 4) {
kl = (n + 1) / 4;
}
i__3 = nku;
for (iku = 1; iku <= i__3; ++iku) {
/* Do for KU = 0, N-1, (3N-1)/4, and (N+1)/4. This order */
/* makes it easier to skip redundant values for small */
/* values of N. */
if (iku == 1) {
ku = 0;
} else if (iku == 2) {
/* Computing MAX */
i__4 = n - 1;
ku = max(i__4,0);
} else if (iku == 3) {
ku = (n * 3 - 1) / 4;
} else if (iku == 4) {
ku = (n + 1) / 4;
}
/* Check that A and AFB are big enough to generate this */
/* matrix. */
lda = kl + ku + 1;
ldafb = (kl << 1) + ku + 1;
if (lda * n > *la || ldafb * n > *lafb) {
if (nfail == 0 && nerrs == 0) {
aladhd_(nout, path);
}
if (lda * n > *la) {
io___26.ciunit = *nout;
s_wsfe(&io___26);
do_fio(&c__1, (char *)&(*la), (ftnlen)sizeof(integer))
;
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&kl, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&ku, (ftnlen)sizeof(integer));
i__4 = n * (kl + ku + 1);
do_fio(&c__1, (char *)&i__4, (ftnlen)sizeof(integer));
e_wsfe();
++nerrs;
}
if (ldafb * n > *lafb) {
io___27.ciunit = *nout;
s_wsfe(&io___27);
do_fio(&c__1, (char *)&(*lafb), (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&kl, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&ku, (ftnlen)sizeof(integer));
i__4 = n * ((kl << 1) + ku + 1);
do_fio(&c__1, (char *)&i__4, (ftnlen)sizeof(integer));
e_wsfe();
++nerrs;
}
goto L130;
}
i__4 = nimat;
for (imat = 1; imat <= i__4; ++imat) {
/* Do the tests only if DOTYPE( IMAT ) is true. */
if (! dotype[imat]) {
goto L120;
}
/* Skip types 2, 3, or 4 if the matrix is too small. */
zerot = imat >= 2 && imat <= 4;
if (zerot && n < imat - 1) {
goto L120;
}
/* Set up parameters with CLATB4 and generate a */
/* test matrix with CLATMS. */
clatb4_(path, &imat, &n, &n, type__, &kl, &ku, &anorm, &
mode, &cndnum, dist);
rcondc = 1.f / cndnum;
s_copy(srnamc_1.srnamt, "CLATMS", (ftnlen)6, (ftnlen)6);
clatms_(&n, &n, dist, iseed, type__, &rwork[1], &mode, &
cndnum, &anorm, &kl, &ku, "Z", &a[1], &lda, &work[
1], &info);
/* Check the error code from CLATMS. */
if (info != 0) {
alaerh_(path, "CLATMS", &info, &c__0, " ", &n, &n, &
kl, &ku, &c_n1, &imat, &nfail, &nerrs, nout);
goto L120;
}
/* For types 2, 3, and 4, zero one or more columns of */
/* the matrix to test that INFO is returned correctly. */
izero = 0;
if (zerot) {
if (imat == 2) {
izero = 1;
} else if (imat == 3) {
izero = n;
} else {
izero = n / 2 + 1;
}
ioff = (izero - 1) * lda;
if (imat < 4) {
/* Computing MAX */
i__5 = 1, i__6 = ku + 2 - izero;
i1 = max(i__5,i__6);
/* Computing MIN */
i__5 = kl + ku + 1, i__6 = ku + 1 + (n - izero);
i2 = min(i__5,i__6);
i__5 = i2;
for (i__ = i1; i__ <= i__5; ++i__) {
i__6 = ioff + i__;
a[i__6].r = 0.f, a[i__6].i = 0.f;
/* L20: */
}
} else {
i__5 = n;
for (j = izero; j <= i__5; ++j) {
/* Computing MAX */
i__6 = 1, i__7 = ku + 2 - j;
/* Computing MIN */
i__9 = kl + ku + 1, i__10 = ku + 1 + (n - j);
i__8 = min(i__9,i__10);
for (i__ = max(i__6,i__7); i__ <= i__8; ++i__)
{
i__6 = ioff + i__;
a[i__6].r = 0.f, a[i__6].i = 0.f;
/* L30: */
}
ioff += lda;
/* L40: */
}
}
}
/* Save a copy of the matrix A in ASAV. */
i__5 = kl + ku + 1;
clacpy_("Full", &i__5, &n, &a[1], &lda, &asav[1], &lda);
for (iequed = 1; iequed <= 4; ++iequed) {
*(unsigned char *)equed = *(unsigned char *)&equeds[
iequed - 1];
if (iequed == 1) {
nfact = 3;
} else {
nfact = 1;
}
i__5 = nfact;
for (ifact = 1; ifact <= i__5; ++ifact) {
*(unsigned char *)fact = *(unsigned char *)&facts[
ifact - 1];
prefac = lsame_(fact, "F");
nofact = lsame_(fact, "N");
equil = lsame_(fact, "E");
if (zerot) {
if (prefac) {
goto L100;
}
rcondo = 0.f;
rcondi = 0.f;
} else if (! nofact) {
/* Compute the condition number for comparison */
/* with the value returned by SGESVX (FACT = */
/* 'N' reuses the condition number from the */
/* previous iteration with FACT = 'F'). */
i__8 = kl + ku + 1;
clacpy_("Full", &i__8, &n, &asav[1], &lda, &
afb[kl + 1], &ldafb);
if (equil || iequed > 1) {
/* Compute row and column scale factors to */
/* equilibrate the matrix A. */
cgbequ_(&n, &n, &kl, &ku, &afb[kl + 1], &
ldafb, &s[1], &s[n + 1], &rowcnd,
&colcnd, &amax, &info);
if (info == 0 && n > 0) {
if (lsame_(equed, "R")) {
rowcnd = 0.f;
colcnd = 1.f;
} else if (lsame_(equed, "C")) {
rowcnd = 1.f;
colcnd = 0.f;
} else if (lsame_(equed, "B")) {
rowcnd = 0.f;
colcnd = 0.f;
}
/* Equilibrate the matrix. */
claqgb_(&n, &n, &kl, &ku, &afb[kl + 1]
, &ldafb, &s[1], &s[n + 1], &
rowcnd, &colcnd, &amax, equed);
}
}
/* Save the condition number of the */
/* non-equilibrated system for use in CGET04. */
if (equil) {
roldo = rcondo;
roldi = rcondi;
}
/* Compute the 1-norm and infinity-norm of A. */
anormo = clangb_("1", &n, &kl, &ku, &afb[kl +
1], &ldafb, &rwork[1]);
anormi = clangb_("I", &n, &kl, &ku, &afb[kl +
1], &ldafb, &rwork[1]);
/* Factor the matrix A. */
cgbtrf_(&n, &n, &kl, &ku, &afb[1], &ldafb, &
iwork[1], &info);
/* Form the inverse of A. */
claset_("Full", &n, &n, &c_b48, &c_b49, &work[
1], &ldb);
s_copy(srnamc_1.srnamt, "CGBTRS", (ftnlen)6, (
ftnlen)6);
cgbtrs_("No transpose", &n, &kl, &ku, &n, &
afb[1], &ldafb, &iwork[1], &work[1], &
ldb, &info);
/* Compute the 1-norm condition number of A. */
ainvnm = clange_("1", &n, &n, &work[1], &ldb,
&rwork[1]);
if (anormo <= 0.f || ainvnm <= 0.f) {
rcondo = 1.f;
} else {
rcondo = 1.f / anormo / ainvnm;
}
/* Compute the infinity-norm condition number */
/* of A. */
ainvnm = clange_("I", &n, &n, &work[1], &ldb,
&rwork[1]);
if (anormi <= 0.f || ainvnm <= 0.f) {
rcondi = 1.f;
} else {
rcondi = 1.f / anormi / ainvnm;
}
}
for (itran = 1; itran <= 3; ++itran) {
/* Do for each value of TRANS. */
*(unsigned char *)trans = *(unsigned char *)&
transs[itran - 1];
if (itran == 1) {
rcondc = rcondo;
} else {
rcondc = rcondi;
}
/* Restore the matrix A. */
i__8 = kl + ku + 1;
clacpy_("Full", &i__8, &n, &asav[1], &lda, &a[
1], &lda);
/* Form an exact solution and set the right hand */
/* side. */
s_copy(srnamc_1.srnamt, "CLARHS", (ftnlen)6, (
ftnlen)6);
clarhs_(path, xtype, "Full", trans, &n, &n, &
kl, &ku, nrhs, &a[1], &lda, &xact[1],
&ldb, &b[1], &ldb, iseed, &info);
*(unsigned char *)xtype = 'C';
clacpy_("Full", &n, nrhs, &b[1], &ldb, &bsav[
1], &ldb);
if (nofact && itran == 1) {
/* --- Test CGBSV --- */
/* Compute the LU factorization of the matrix */
/* and solve the system. */
i__8 = kl + ku + 1;
clacpy_("Full", &i__8, &n, &a[1], &lda, &
afb[kl + 1], &ldafb);
clacpy_("Full", &n, nrhs, &b[1], &ldb, &x[
1], &ldb);
s_copy(srnamc_1.srnamt, "CGBSV ", (ftnlen)
6, (ftnlen)6);
cgbsv_(&n, &kl, &ku, nrhs, &afb[1], &
ldafb, &iwork[1], &x[1], &ldb, &
info);
/* Check error code from CGBSV . */
if (info != izero) {
alaerh_(path, "CGBSV ", &info, &izero,
" ", &n, &n, &kl, &ku, nrhs,
&imat, &nfail, &nerrs, nout);
}
/* Reconstruct matrix from factors and */
/* compute residual. */
cgbt01_(&n, &n, &kl, &ku, &a[1], &lda, &
afb[1], &ldafb, &iwork[1], &work[
1], result);
nt = 1;
if (izero == 0) {
/* Compute residual of the computed */
/* solution. */
clacpy_("Full", &n, nrhs, &b[1], &ldb,
&work[1], &ldb);
cgbt02_("No transpose", &n, &n, &kl, &
ku, nrhs, &a[1], &lda, &x[1],
&ldb, &work[1], &ldb, &result[
1]);
/* Check solution from generated exact */
/* solution. */
cget04_(&n, nrhs, &x[1], &ldb, &xact[
1], &ldb, &rcondc, &result[2])
;
nt = 3;
}
/* Print information about the tests that did */
/* not pass the threshold. */
i__8 = nt;
for (k = 1; k <= i__8; ++k) {
if (result[k - 1] >= *thresh) {
if (nfail == 0 && nerrs == 0) {
aladhd_(nout, path);
}
io___65.ciunit = *nout;
s_wsfe(&io___65);
do_fio(&c__1, "CGBSV ", (ftnlen)6)
;
do_fio(&c__1, (char *)&n, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&kl, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&ku, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&imat, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&k, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&result[k -
1], (ftnlen)sizeof(real));
e_wsfe();
++nfail;
}
/* L50: */
}
nrun += nt;
}
/* --- Test CGBSVX --- */
if (! prefac) {
i__8 = (kl << 1) + ku + 1;
claset_("Full", &i__8, &n, &c_b48, &c_b48,
&afb[1], &ldafb);
}
claset_("Full", &n, nrhs, &c_b48, &c_b48, &x[
1], &ldb);
if (iequed > 1 && n > 0) {
/* Equilibrate the matrix if FACT = 'F' and */
/* EQUED = 'R', 'C', or 'B'. */
claqgb_(&n, &n, &kl, &ku, &a[1], &lda, &s[
1], &s[n + 1], &rowcnd, &colcnd, &
amax, equed);
}
/* Solve the system and compute the condition */
/* number and error bounds using CGBSVX. */
s_copy(srnamc_1.srnamt, "CGBSVX", (ftnlen)6, (
ftnlen)6);
cgbsvx_(fact, trans, &n, &kl, &ku, nrhs, &a[1]
, &lda, &afb[1], &ldafb, &iwork[1],
equed, &s[1], &s[ldb + 1], &b[1], &
ldb, &x[1], &ldb, &rcond, &rwork[1], &
rwork[*nrhs + 1], &work[1], &rwork[(*
nrhs << 1) + 1], &info);
/* Check the error code from CGBSVX. */
if (info != izero) {
/* Writing concatenation */
i__11[0] = 1, a__1[0] = fact;
i__11[1] = 1, a__1[1] = trans;
s_cat(ch__1, a__1, i__11, &c__2, (ftnlen)
2);
alaerh_(path, "CGBSVX", &info, &izero,
ch__1, &n, &n, &kl, &ku, nrhs, &
imat, &nfail, &nerrs, nout);
}
/* Compare RWORK(2*NRHS+1) from CGBSVX with the */
/* computed reciprocal pivot growth RPVGRW */
if (info != 0) {
anrmpv = 0.f;
i__8 = info;
for (j = 1; j <= i__8; ++j) {
/* Computing MAX */
i__6 = ku + 2 - j;
/* Computing MIN */
i__9 = n + ku + 1 - j, i__10 = kl +
ku + 1;
i__7 = min(i__9,i__10);
for (i__ = max(i__6,1); i__ <= i__7;
++i__) {
/* Computing MAX */
r__1 = anrmpv, r__2 = c_abs(&a[
i__ + (j - 1) * lda]);
anrmpv = dmax(r__1,r__2);
/* L60: */
}
/* L70: */
}
/* Computing MIN */
i__7 = info - 1, i__6 = kl + ku;
i__8 = min(i__7,i__6);
/* Computing MAX */
i__9 = 1, i__10 = kl + ku + 2 - info;
rpvgrw = clantb_("M", "U", "N", &info, &
i__8, &afb[max(i__9, i__10)], &
ldafb, rdum);
if (rpvgrw == 0.f) {
rpvgrw = 1.f;
} else {
rpvgrw = anrmpv / rpvgrw;
}
} else {
i__8 = kl + ku;
rpvgrw = clantb_("M", "U", "N", &n, &i__8,
&afb[1], &ldafb, rdum);
if (rpvgrw == 0.f) {
rpvgrw = 1.f;
} else {
rpvgrw = clangb_("M", &n, &kl, &ku, &
a[1], &lda, rdum) /
rpvgrw;
}
}
/* Computing MAX */
r__2 = rwork[(*nrhs << 1) + 1];
result[6] = (r__1 = rpvgrw - rwork[(*nrhs <<
1) + 1], dabs(r__1)) / dmax(r__2,
rpvgrw) / slamch_("E");
if (! prefac) {
/* Reconstruct matrix from factors and */
/* compute residual. */
cgbt01_(&n, &n, &kl, &ku, &a[1], &lda, &
afb[1], &ldafb, &iwork[1], &work[
1], result);
k1 = 1;
} else {
k1 = 2;
}
if (info == 0) {
trfcon = FALSE_;
/* Compute residual of the computed solution. */
clacpy_("Full", &n, nrhs, &bsav[1], &ldb,
&work[1], &ldb);
cgbt02_(trans, &n, &n, &kl, &ku, nrhs, &
asav[1], &lda, &x[1], &ldb, &work[
1], &ldb, &result[1]);
/* Check solution from generated exact */
/* solution. */
if (nofact || prefac && lsame_(equed,
"N")) {
cget04_(&n, nrhs, &x[1], &ldb, &xact[
1], &ldb, &rcondc, &result[2])
;
} else {
if (itran == 1) {
roldc = roldo;
} else {
roldc = roldi;
}
cget04_(&n, nrhs, &x[1], &ldb, &xact[
1], &ldb, &roldc, &result[2]);
}
/* Check the error bounds from iterative */
/* refinement. */
cgbt05_(trans, &n, &kl, &ku, nrhs, &asav[
1], &lda, &bsav[1], &ldb, &x[1], &
ldb, &xact[1], &ldb, &rwork[1], &
rwork[*nrhs + 1], &result[3]);
} else {
trfcon = TRUE_;
}
/* Compare RCOND from CGBSVX with the computed */
/* value in RCONDC. */
result[5] = sget06_(&rcond, &rcondc);
/* Print information about the tests that did */
/* not pass the threshold. */
if (! trfcon) {
for (k = k1; k <= 7; ++k) {
if (result[k - 1] >= *thresh) {
if (nfail == 0 && nerrs == 0) {
aladhd_(nout, path);
}
if (prefac) {
io___73.ciunit = *nout;
s_wsfe(&io___73);
do_fio(&c__1, "CGBSVX", (ftnlen)6);
do_fio(&c__1, fact, (ftnlen)1);
do_fio(&c__1, trans, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&kl, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&ku, (ftnlen)sizeof(integer));
do_fio(&c__1, equed, (ftnlen)1);
do_fio(&c__1, (char *)&imat, (ftnlen)sizeof(integer)
);
do_fio(&c__1, (char *)&k, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[k - 1], (ftnlen)
sizeof(real));
e_wsfe();
} else {
io___74.ciunit = *nout;
s_wsfe(&io___74);
do_fio(&c__1, "CGBSVX", (ftnlen)6);
do_fio(&c__1, fact, (ftnlen)1);
do_fio(&c__1, trans, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&kl, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&ku, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&imat, (ftnlen)sizeof(integer)
);
do_fio(&c__1, (char *)&k, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[k - 1], (ftnlen)
sizeof(real));
e_wsfe();
}
++nfail;
}
/* L80: */
}
nrun = nrun + 7 - k1;
} else {
if (result[0] >= *thresh && ! prefac) {
if (nfail == 0 && nerrs == 0) {
aladhd_(nout, path);
}
if (prefac) {
io___75.ciunit = *nout;
s_wsfe(&io___75);
do_fio(&c__1, "CGBSVX", (ftnlen)6)
;
do_fio(&c__1, fact, (ftnlen)1);
do_fio(&c__1, trans, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&kl, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&ku, (
ftnlen)sizeof(integer));
do_fio(&c__1, equed, (ftnlen)1);
do_fio(&c__1, (char *)&imat, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&c__1, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[0],
(ftnlen)sizeof(real));
e_wsfe();
} else {
io___76.ciunit = *nout;
s_wsfe(&io___76);
do_fio(&c__1, "CGBSVX", (ftnlen)6)
;
do_fio(&c__1, fact, (ftnlen)1);
do_fio(&c__1, trans, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&kl, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&ku, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&imat, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&c__1, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[0],
(ftnlen)sizeof(real));
e_wsfe();
}
++nfail;
++nrun;
}
if (result[5] >= *thresh) {
if (nfail == 0 && nerrs == 0) {
aladhd_(nout, path);
}
if (prefac) {
io___77.ciunit = *nout;
s_wsfe(&io___77);
do_fio(&c__1, "CGBSVX", (ftnlen)6)
;
do_fio(&c__1, fact, (ftnlen)1);
do_fio(&c__1, trans, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&kl, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&ku, (
ftnlen)sizeof(integer));
do_fio(&c__1, equed, (ftnlen)1);
do_fio(&c__1, (char *)&imat, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&c__6, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[5],
(ftnlen)sizeof(real));
e_wsfe();
} else {
io___78.ciunit = *nout;
s_wsfe(&io___78);
do_fio(&c__1, "CGBSVX", (ftnlen)6)
;
do_fio(&c__1, fact, (ftnlen)1);
do_fio(&c__1, trans, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&kl, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&ku, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&imat, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&c__6, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[5],
(ftnlen)sizeof(real));
e_wsfe();
}
++nfail;
++nrun;
}
if (result[6] >= *thresh) {
if (nfail == 0 && nerrs == 0) {
aladhd_(nout, path);
}
if (prefac) {
io___79.ciunit = *nout;
s_wsfe(&io___79);
do_fio(&c__1, "CGBSVX", (ftnlen)6)
;
do_fio(&c__1, fact, (ftnlen)1);
do_fio(&c__1, trans, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&kl, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&ku, (
ftnlen)sizeof(integer));
do_fio(&c__1, equed, (ftnlen)1);
do_fio(&c__1, (char *)&imat, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&c__7, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[6],
(ftnlen)sizeof(real));
e_wsfe();
} else {
io___80.ciunit = *nout;
s_wsfe(&io___80);
do_fio(&c__1, "CGBSVX", (ftnlen)6)
;
do_fio(&c__1, fact, (ftnlen)1);
do_fio(&c__1, trans, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)
sizeof(integer));
do_fio(&c__1, (char *)&kl, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&ku, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&imat, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&c__7, (
ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[6],
(ftnlen)sizeof(real));
e_wsfe();
}
++nfail;
++nrun;
}
}
/* L90: */
}
L100:
;
}
/* L110: */
}
L120:
;
}
L130:
;
}
/* L140: */
}
/* L150: */
}
/* Print a summary of the results. */
alasvm_(path, nout, &nfail, &nrun, &nerrs);
return 0;
/* End of CDRVGB */
} /* cdrvgb_ */
/* Subroutine */ int ctrsen_(char *job, char *compq, logical *select, integer
*n, complex *t, integer *ldt, complex *q, integer *ldq, complex *w,
integer *m, real *s, real *sep, complex *work, integer *lwork,
integer *info)
{
/* System generated locals */
integer q_dim1, q_offset, t_dim1, t_offset, i__1, i__2, i__3;
/* Builtin functions */
double sqrt(doublereal);
/* Local variables */
integer k, n1, n2, nn, ks;
real est;
integer kase, ierr;
real scale;
extern logical lsame_(char *, char *);
integer isave[3], lwmin;
logical wantq, wants;
real rnorm;
extern /* Subroutine */ int clacn2_(integer *, complex *, complex *, real
*, integer *, integer *);
real rwork[1];
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *);
extern /* Subroutine */ int clacpy_(char *, integer *, integer *, complex
*, integer *, complex *, integer *), xerbla_(char *,
integer *);
logical wantbh;
extern /* Subroutine */ int ctrexc_(char *, integer *, complex *, integer
*, complex *, integer *, integer *, integer *, integer *);
logical wantsp;
extern /* Subroutine */ int ctrsyl_(char *, char *, integer *, integer *,
integer *, complex *, integer *, complex *, integer *, complex *,
integer *, real *, integer *);
logical lquery;
/* -- LAPACK routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* Modified to call CLACN2 in place of CLACON, 10 Feb 03, SJH. */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CTRSEN reorders the Schur factorization of a complex matrix */
/* A = Q*T*Q**H, so that a selected cluster of eigenvalues appears in */
/* the leading positions on the diagonal of the upper triangular matrix */
/* T, and the leading columns of Q form an orthonormal basis of the */
/* corresponding right invariant subspace. */
/* Optionally the routine computes the reciprocal condition numbers of */
/* the cluster of eigenvalues and/or the invariant subspace. */
/* Arguments */
/* ========= */
/* JOB (input) CHARACTER*1 */
/* Specifies whether condition numbers are required for the */
/* cluster of eigenvalues (S) or the invariant subspace (SEP): */
/* = 'N': none; */
/* = 'E': for eigenvalues only (S); */
/* = 'V': for invariant subspace only (SEP); */
/* = 'B': for both eigenvalues and invariant subspace (S and */
/* SEP). */
/* COMPQ (input) CHARACTER*1 */
/* = 'V': update the matrix Q of Schur vectors; */
/* = 'N': do not update Q. */
/* SELECT (input) LOGICAL array, dimension (N) */
/* SELECT specifies the eigenvalues in the selected cluster. To */
/* select the j-th eigenvalue, SELECT(j) must be set to .TRUE.. */
/* N (input) INTEGER */
/* The order of the matrix T. N >= 0. */
/* T (input/output) COMPLEX array, dimension (LDT,N) */
/* On entry, the upper triangular matrix T. */
/* On exit, T is overwritten by the reordered matrix T, with the */
/* selected eigenvalues as the leading diagonal elements. */
/* LDT (input) INTEGER */
/* The leading dimension of the array T. LDT >= max(1,N). */
/* Q (input/output) COMPLEX array, dimension (LDQ,N) */
/* On entry, if COMPQ = 'V', the matrix Q of Schur vectors. */
/* On exit, if COMPQ = 'V', Q has been postmultiplied by the */
/* unitary transformation matrix which reorders T; the leading M */
/* columns of Q form an orthonormal basis for the specified */
/* invariant subspace. */
/* If COMPQ = 'N', Q is not referenced. */
/* LDQ (input) INTEGER */
/* The leading dimension of the array Q. */
/* LDQ >= 1; and if COMPQ = 'V', LDQ >= N. */
/* W (output) COMPLEX array, dimension (N) */
/* The reordered eigenvalues of T, in the same order as they */
/* appear on the diagonal of T. */
/* M (output) INTEGER */
/* The dimension of the specified invariant subspace. */
/* 0 <= M <= N. */
/* S (output) REAL */
/* If JOB = 'E' or 'B', S is a lower bound on the reciprocal */
/* condition number for the selected cluster of eigenvalues. */
/* S cannot underestimate the true reciprocal condition number */
/* by more than a factor of sqrt(N). If M = 0 or N, S = 1. */
/* If JOB = 'N' or 'V', S is not referenced. */
/* SEP (output) REAL */
/* If JOB = 'V' or 'B', SEP is the estimated reciprocal */
/* condition number of the specified invariant subspace. If */
/* M = 0 or N, SEP = norm(T). */
/* If JOB = 'N' or 'E', SEP is not referenced. */
/* 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. */
/* If JOB = 'N', LWORK >= 1; */
/* if JOB = 'E', LWORK = max(1,M*(N-M)); */
/* if JOB = 'V' or 'B', LWORK >= max(1,2*M*(N-M)). */
/* 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. */
/* INFO (output) INTEGER */
/* = 0: successful exit */
/* < 0: if INFO = -i, the i-th argument had an illegal value */
/* Further Details */
/* =============== */
/* CTRSEN first collects the selected eigenvalues by computing a unitary */
/* transformation Z to move them to the top left corner of T. In other */
/* words, the selected eigenvalues are the eigenvalues of T11 in: */
/* Z'*T*Z = ( T11 T12 ) n1 */
/* ( 0 T22 ) n2 */
/* n1 n2 */
/* where N = n1+n2 and Z' means the conjugate transpose of Z. The first */
/* n1 columns of Z span the specified invariant subspace of T. */
/* If T has been obtained from the Schur factorization of a matrix */
/* A = Q*T*Q', then the reordered Schur factorization of A is given by */
/* A = (Q*Z)*(Z'*T*Z)*(Q*Z)', and the first n1 columns of Q*Z span the */
/* corresponding invariant subspace of A. */
/* The reciprocal condition number of the average of the eigenvalues of */
/* T11 may be returned in S. S lies between 0 (very badly conditioned) */
/* and 1 (very well conditioned). It is computed as follows. First we */
/* compute R so that */
/* P = ( I R ) n1 */
/* ( 0 0 ) n2 */
/* n1 n2 */
/* is the projector on the invariant subspace associated with T11. */
/* R is the solution of the Sylvester equation: */
/* T11*R - R*T22 = T12. */
/* Let F-norm(M) denote the Frobenius-norm of M and 2-norm(M) denote */
/* the two-norm of M. Then S is computed as the lower bound */
/* (1 + F-norm(R)**2)**(-1/2) */
/* on the reciprocal of 2-norm(P), the true reciprocal condition number. */
/* S cannot underestimate 1 / 2-norm(P) by more than a factor of */
/* sqrt(N). */
/* An approximate error bound for the computed average of the */
/* eigenvalues of T11 is */
/* EPS * norm(T) / S */
/* where EPS is the machine precision. */
/* The reciprocal condition number of the right invariant subspace */
/* spanned by the first n1 columns of Z (or of Q*Z) is returned in SEP. */
/* SEP is defined as the separation of T11 and T22: */
/* sep( T11, T22 ) = sigma-min( C ) */
/* where sigma-min(C) is the smallest singular value of the */
/* n1*n2-by-n1*n2 matrix */
/* C = kprod( I(n2), T11 ) - kprod( transpose(T22), I(n1) ) */
/* I(m) is an m by m identity matrix, and kprod denotes the Kronecker */
/* product. We estimate sigma-min(C) by the reciprocal of an estimate of */
/* the 1-norm of inverse(C). The true reciprocal 1-norm of inverse(C) */
/* cannot differ from sigma-min(C) by more than a factor of sqrt(n1*n2). */
/* When SEP is small, small changes in T can cause large changes in */
/* the invariant subspace. An approximate bound on the maximum angular */
/* error in the computed right invariant subspace is */
/* EPS * norm(T) / SEP */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Decode and test the input parameters. */
/* Parameter adjustments */
--select;
t_dim1 = *ldt;
t_offset = 1 + t_dim1;
t -= t_offset;
q_dim1 = *ldq;
q_offset = 1 + q_dim1;
q -= q_offset;
--w;
--work;
/* Function Body */
wantbh = lsame_(job, "B");
wants = lsame_(job, "E") || wantbh;
wantsp = lsame_(job, "V") || wantbh;
wantq = lsame_(compq, "V");
/* Set M to the number of selected eigenvalues. */
*m = 0;
i__1 = *n;
for (k = 1; k <= i__1; ++k) {
if (select[k]) {
++(*m);
}
/* L10: */
}
n1 = *m;
n2 = *n - *m;
nn = n1 * n2;
*info = 0;
lquery = *lwork == -1;
if (wantsp) {
/* Computing MAX */
i__1 = 1, i__2 = nn << 1;
lwmin = max(i__1,i__2);
} else if (lsame_(job, "N")) {
lwmin = 1;
} else if (lsame_(job, "E")) {
lwmin = max(1,nn);
}
if (! lsame_(job, "N") && ! wants && ! wantsp) {
*info = -1;
} else if (! lsame_(compq, "N") && ! wantq) {
*info = -2;
} else if (*n < 0) {
*info = -4;
} else if (*ldt < max(1,*n)) {
*info = -6;
} else if (*ldq < 1 || wantq && *ldq < *n) {
*info = -8;
} else if (*lwork < lwmin && ! lquery) {
*info = -14;
}
if (*info == 0) {
work[1].r = (real) lwmin, work[1].i = 0.f;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CTRSEN", &i__1);
return 0;
} else if (lquery) {
return 0;
}
/* Quick return if possible */
if (*m == *n || *m == 0) {
if (wants) {
*s = 1.f;
}
if (wantsp) {
*sep = clange_("1", n, n, &t[t_offset], ldt, rwork);
}
goto L40;
}
/* Collect the selected eigenvalues at the top left corner of T. */
ks = 0;
i__1 = *n;
for (k = 1; k <= i__1; ++k) {
if (select[k]) {
++ks;
/* Swap the K-th eigenvalue to position KS. */
if (k != ks) {
ctrexc_(compq, n, &t[t_offset], ldt, &q[q_offset], ldq, &k, &
ks, &ierr);
}
}
/* L20: */
}
if (wants) {
/* Solve the Sylvester equation for R: */
/* T11*R - R*T22 = scale*T12 */
clacpy_("F", &n1, &n2, &t[(n1 + 1) * t_dim1 + 1], ldt, &work[1], &n1);
ctrsyl_("N", "N", &c_n1, &n1, &n2, &t[t_offset], ldt, &t[n1 + 1 + (n1
+ 1) * t_dim1], ldt, &work[1], &n1, &scale, &ierr);
/* Estimate the reciprocal of the condition number of the cluster */
/* of eigenvalues. */
rnorm = clange_("F", &n1, &n2, &work[1], &n1, rwork);
if (rnorm == 0.f) {
*s = 1.f;
} else {
*s = scale / (sqrt(scale * scale / rnorm + rnorm) * sqrt(rnorm));
}
}
if (wantsp) {
/* Estimate sep(T11,T22). */
est = 0.f;
kase = 0;
L30:
clacn2_(&nn, &work[nn + 1], &work[1], &est, &kase, isave);
if (kase != 0) {
if (kase == 1) {
/* Solve T11*R - R*T22 = scale*X. */
ctrsyl_("N", "N", &c_n1, &n1, &n2, &t[t_offset], ldt, &t[n1 +
1 + (n1 + 1) * t_dim1], ldt, &work[1], &n1, &scale, &
ierr);
} else {
/* Solve T11'*R - R*T22' = scale*X. */
ctrsyl_("C", "C", &c_n1, &n1, &n2, &t[t_offset], ldt, &t[n1 +
1 + (n1 + 1) * t_dim1], ldt, &work[1], &n1, &scale, &
ierr);
}
goto L30;
}
*sep = scale / est;
}
L40:
/* Copy reordered eigenvalues to W. */
i__1 = *n;
for (k = 1; k <= i__1; ++k) {
i__2 = k;
i__3 = k + k * t_dim1;
w[i__2].r = t[i__3].r, w[i__2].i = t[i__3].i;
/* L50: */
}
work[1].r = (real) lwmin, work[1].i = 0.f;
return 0;
/* End of CTRSEN */
} /* ctrsen_ */
/* Subroutine */ int cgeevx_(char *balanc, char *jobvl, char *jobvr, char *
sense, integer *n, complex *a, integer *lda, complex *w, complex *vl,
integer *ldvl, complex *vr, integer *ldvr, integer *ilo, integer *ihi,
real *scale, real *abnrm, real *rconde, real *rcondv, complex *work,
integer *lwork, real *rwork, integer *info)
{
/* System generated locals */
integer a_dim1, a_offset, vl_dim1, vl_offset, vr_dim1, vr_offset, i__1,
i__2, i__3;
real r__1, r__2;
complex q__1, q__2;
/* Local variables */
integer i__, k;
char job[1];
real scl, dum[1], eps;
complex tmp;
char side[1];
real anrm;
integer ierr, itau, iwrk, nout;
integer icond;
logical scalea;
real cscale;
logical select[1];
real bignum;
integer minwrk, maxwrk;
logical wantvl, wntsnb;
integer hswork;
logical wntsne;
real smlnum;
logical lquery, wantvr, wntsnn, wntsnv;
/* -- LAPACK driver routine (version 3.2) -- */
/* November 2006 */
/* Purpose */
/* ======= */
/* CGEEVX computes for an N-by-N complex 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. */
/* Arguments */
/* ========= */
/* BALANC (input) 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, ie. 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. */
/* JOBVL (input) 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'. */
/* JOBVR (input) 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'. */
/* SENSE (input) 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'). */
/* N (input) INTEGER */
/* The order of the matrix A. N >= 0. */
/* A (input/output) COMPLEX 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 Schur form of the balanced */
/* version of the matrix A. */
/* LDA (input) INTEGER */
/* The leading dimension of the array A. LDA >= max(1,N). */
/* W (output) COMPLEX array, dimension (N) */
/* W contains the computed eigenvalues. */
/* VL (output) COMPLEX 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. */
/* u(j) = VL(:,j), the j-th column of VL. */
/* LDVL (input) INTEGER */
/* The leading dimension of the array VL. LDVL >= 1; if */
/* JOBVL = 'V', LDVL >= N. */
/* VR (output) COMPLEX 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. */
/* v(j) = VR(:,j), the j-th column of VR. */
/* LDVR (input) INTEGER */
/* The leading dimension of the array VR. LDVR >= 1; if */
/* JOBVR = 'V', LDVR >= N. */
/* ILO (output) INTEGER */
/* IHI (output) INTEGER */
/* ILO and IHI are integer values determined when A was */
/* balanced. The balanced A(i,j) = 0 if I > J and */
/* SCALE (output) REAL 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 */
/* The order in which the interchanges are made is N to IHI+1, */
/* then 1 to ILO-1. */
/* ABNRM (output) REAL */
/* The one-norm of the balanced matrix (the maximum */
/* of the sum of absolute values of elements of any column). */
/* RCONDE (output) REAL array, dimension (N) */
/* RCONDE(j) is the reciprocal condition number of the j-th */
/* eigenvalue. */
/* RCONDV (output) REAL array, dimension (N) */
/* RCONDV(j) is the reciprocal condition number of the j-th */
/* right eigenvector. */
/* 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. If SENSE = 'N' or 'E', */
/* LWORK >= max(1,2*N), and if SENSE = 'V' or 'B', */
/* LWORK >= N*N+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) REAL array, dimension (2*N) */
/* INFO (output) 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 W */
/* contain eigenvalues which have converged. */
/* ===================================================================== */
/* Test the input arguments */
/* Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--w;
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;
--rwork;
/* Function Body */
*info = 0;
lquery = *lwork == -1;
wantvl = lsame_(jobvl, "V");
wantvr = lsame_(jobvr, "V");
wntsnn = lsame_(sense, "N");
wntsne = lsame_(sense, "E");
wntsnv = lsame_(sense, "V");
wntsnb = lsame_(sense, "B");
if (! (lsame_(balanc, "N") || lsame_(balanc, "S") || lsame_(balanc, "P")
|| lsame_(balanc, "B"))) {
*info = -1;
} else if (! wantvl && ! lsame_(jobvl, "N")) {
*info = -2;
} else if (! wantvr && ! lsame_(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 = -10;
} else if (*ldvr < 1 || wantvr && *ldvr < *n) {
*info = -12;
}
/* 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. */
/* CWorkspace refers to complex workspace, and RWorkspace to real */
/* workspace. NB refers to the optimal block size for the */
/* immediately following subroutine, as returned by ILAENV. */
/* HSWORK refers to the workspace preferred by CHSEQR, 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 * ilaenv_(&c__1, "CGEHRD", " ", n, &c__1, n, &
c__0);
if (wantvl) {
chseqr_("S", "V", n, &c__1, n, &a[a_offset], lda, &w[1], &vl[
vl_offset], ldvl, &work[1], &c_n1, info);
} else if (wantvr) {
chseqr_("S", "V", n, &c__1, n, &a[a_offset], lda, &w[1], &vr[
vr_offset], ldvr, &work[1], &c_n1, info);
} else {
if (wntsnn) {
chseqr_("E", "N", n, &c__1, n, &a[a_offset], lda, &w[1], &
vr[vr_offset], ldvr, &work[1], &c_n1, info);
} else {
chseqr_("S", "N", n, &c__1, n, &a[a_offset], lda, &w[1], &
vr[vr_offset], ldvr, &work[1], &c_n1, info);
}
}
hswork = work[1].r;
if (! wantvl && ! wantvr) {
minwrk = *n << 1;
if (! (wntsnn || wntsne)) {
/* Computing MAX */
i__1 = minwrk, i__2 = *n * *n + (*n << 1);
minwrk = max(i__1,i__2);
}
maxwrk = max(maxwrk,hswork);
if (! (wntsnn || wntsne)) {
/* Computing MAX */
i__1 = maxwrk, i__2 = *n * *n + (*n << 1);
maxwrk = max(i__1,i__2);
}
} else {
minwrk = *n << 1;
if (! (wntsnn || wntsne)) {
/* Computing MAX */
i__1 = minwrk, i__2 = *n * *n + (*n << 1);
minwrk = max(i__1,i__2);
}
maxwrk = max(maxwrk,hswork);
/* Computing MAX */
i__1 = maxwrk, i__2 = *n + (*n - 1) * ilaenv_(&c__1, "CUNGHR",
" ", n, &c__1, n, &c_n1);
maxwrk = max(i__1,i__2);
if (! (wntsnn || wntsne)) {
/* Computing MAX */
i__1 = maxwrk, i__2 = *n * *n + (*n << 1);
maxwrk = max(i__1,i__2);
}
/* Computing MAX */
i__1 = maxwrk, i__2 = *n << 1;
maxwrk = max(i__1,i__2);
}
maxwrk = max(maxwrk,minwrk);
}
work[1].r = (real) maxwrk, work[1].i = 0.f;
if (*lwork < minwrk && ! lquery) {
*info = -20;
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CGEEVX", &i__1);
return 0;
} else if (lquery) {
return 0;
}
/* Quick return if possible */
if (*n == 0) {
return 0;
}
/* Get machine constants */
eps = slamch_("P");
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] */
icond = 0;
anrm = clange_("M", n, n, &a[a_offset], lda, dum);
scalea = FALSE_;
if (anrm > 0.f && anrm < smlnum) {
scalea = TRUE_;
cscale = smlnum;
} else if (anrm > bignum) {
scalea = TRUE_;
cscale = bignum;
}
if (scalea) {
clascl_("G", &c__0, &c__0, &anrm, &cscale, n, n, &a[a_offset], lda, &
ierr);
}
/* Balance the matrix and compute ABNRM */
cgebal_(balanc, n, &a[a_offset], lda, ilo, ihi, &scale[1], &ierr);
*abnrm = clange_("1", n, n, &a[a_offset], lda, dum);
if (scalea) {
dum[0] = *abnrm;
slascl_("G", &c__0, &c__0, &cscale, &anrm, &c__1, &c__1, dum, &c__1, &
ierr);
*abnrm = dum[0];
}
/* Reduce to upper Hessenberg form */
/* (CWorkspace: need 2*N, prefer N+N*NB) */
/* (RWorkspace: none) */
itau = 1;
iwrk = itau + *n;
i__1 = *lwork - iwrk + 1;
cgehrd_(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';
clacpy_("L", n, n, &a[a_offset], lda, &vl[vl_offset], ldvl)
;
/* Generate unitary matrix in VL */
/* (CWorkspace: need 2*N-1, prefer N+(N-1)*NB) */
/* (RWorkspace: none) */
i__1 = *lwork - iwrk + 1;
cunghr_(n, ilo, ihi, &vl[vl_offset], ldvl, &work[itau], &work[iwrk], &
i__1, &ierr);
/* Perform QR iteration, accumulating Schur vectors in VL */
/* (CWorkspace: need 1, prefer HSWORK (see comments) ) */
/* (RWorkspace: none) */
iwrk = itau;
i__1 = *lwork - iwrk + 1;
chseqr_("S", "V", n, ilo, ihi, &a[a_offset], lda, &w[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';
clacpy_("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';
clacpy_("L", n, n, &a[a_offset], lda, &vr[vr_offset], ldvr)
;
/* Generate unitary matrix in VR */
/* (CWorkspace: need 2*N-1, prefer N+(N-1)*NB) */
/* (RWorkspace: none) */
i__1 = *lwork - iwrk + 1;
cunghr_(n, ilo, ihi, &vr[vr_offset], ldvr, &work[itau], &work[iwrk], &
i__1, &ierr);
/* Perform QR iteration, accumulating Schur vectors in VR */
/* (CWorkspace: need 1, prefer HSWORK (see comments) ) */
/* (RWorkspace: none) */
iwrk = itau;
i__1 = *lwork - iwrk + 1;
chseqr_("S", "V", n, ilo, ihi, &a[a_offset], lda, &w[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';
}
/* (CWorkspace: need 1, prefer HSWORK (see comments) ) */
/* (RWorkspace: none) */
iwrk = itau;
i__1 = *lwork - iwrk + 1;
chseqr_(job, "N", n, ilo, ihi, &a[a_offset], lda, &w[1], &vr[
vr_offset], ldvr, &work[iwrk], &i__1, info);
}
/* If INFO > 0 from CHSEQR, then quit */
if (*info > 0) {
goto L50;
}
if (wantvl || wantvr) {
/* Compute left and/or right eigenvectors */
/* (CWorkspace: need 2*N) */
/* (RWorkspace: need N) */
ctrevc_(side, "B", select, n, &a[a_offset], lda, &vl[vl_offset], ldvl,
&vr[vr_offset], ldvr, n, &nout, &work[iwrk], &rwork[1], &
ierr);
}
/* Compute condition numbers if desired */
/* (CWorkspace: need N*N+2*N unless SENSE = 'E') */
/* (RWorkspace: need 2*N unless SENSE = 'E') */
if (! wntsnn) {
ctrsna_(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, &rwork[1], &icond);
}
if (wantvl) {
/* Undo balancing of left eigenvectors */
cgebak_(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__) {
scl = 1.f / scnrm2_(n, &vl[i__ * vl_dim1 + 1], &c__1);
csscal_(n, &scl, &vl[i__ * vl_dim1 + 1], &c__1);
i__2 = *n;
for (k = 1; k <= i__2; ++k) {
i__3 = k + i__ * vl_dim1;
/* Computing 2nd power */
r__1 = vl[i__3].r;
/* Computing 2nd power */
r__2 = r_imag(&vl[k + i__ * vl_dim1]);
rwork[k] = r__1 * r__1 + r__2 * r__2;
}
k = isamax_(n, &rwork[1], &c__1);
r_cnjg(&q__2, &vl[k + i__ * vl_dim1]);
r__1 = sqrt(rwork[k]);
q__1.r = q__2.r / r__1, q__1.i = q__2.i / r__1;
tmp.r = q__1.r, tmp.i = q__1.i;
cscal_(n, &tmp, &vl[i__ * vl_dim1 + 1], &c__1);
i__2 = k + i__ * vl_dim1;
i__3 = k + i__ * vl_dim1;
r__1 = vl[i__3].r;
q__1.r = r__1, q__1.i = 0.f;
vl[i__2].r = q__1.r, vl[i__2].i = q__1.i;
}
}
if (wantvr) {
/* Undo balancing of right eigenvectors */
cgebak_(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__) {
scl = 1.f / scnrm2_(n, &vr[i__ * vr_dim1 + 1], &c__1);
csscal_(n, &scl, &vr[i__ * vr_dim1 + 1], &c__1);
i__2 = *n;
for (k = 1; k <= i__2; ++k) {
i__3 = k + i__ * vr_dim1;
/* Computing 2nd power */
r__1 = vr[i__3].r;
/* Computing 2nd power */
r__2 = r_imag(&vr[k + i__ * vr_dim1]);
rwork[k] = r__1 * r__1 + r__2 * r__2;
}
k = isamax_(n, &rwork[1], &c__1);
r_cnjg(&q__2, &vr[k + i__ * vr_dim1]);
r__1 = sqrt(rwork[k]);
q__1.r = q__2.r / r__1, q__1.i = q__2.i / r__1;
tmp.r = q__1.r, tmp.i = q__1.i;
cscal_(n, &tmp, &vr[i__ * vr_dim1 + 1], &c__1);
i__2 = k + i__ * vr_dim1;
i__3 = k + i__ * vr_dim1;
r__1 = vr[i__3].r;
q__1.r = r__1, q__1.i = 0.f;
vr[i__2].r = q__1.r, vr[i__2].i = q__1.i;
}
}
/* Undo scaling if necessary */
L50:
if (scalea) {
i__1 = *n - *info;
/* Computing MAX */
i__3 = *n - *info;
i__2 = max(i__3,1);
clascl_("G", &c__0, &c__0, &cscale, &anrm, &i__1, &c__1, &w[*info + 1]
, &i__2, &ierr);
if (*info == 0) {
if ((wntsnv || wntsnb) && icond == 0) {
slascl_("G", &c__0, &c__0, &cscale, &anrm, n, &c__1, &rcondv[
1], n, &ierr);
}
} else {
i__1 = *ilo - 1;
clascl_("G", &c__0, &c__0, &cscale, &anrm, &i__1, &c__1, &w[1], n,
&ierr);
}
}
work[1].r = (real) maxwrk, work[1].i = 0.f;
return 0;
/* End of CGEEVX */
} /* cgeevx_ */
/* Subroutine */ int cgges_(char *jobvsl, char *jobvsr, char *sort, L_fp
selctg, integer *n, complex *a, integer *lda, complex *b, integer *
ldb, integer *sdim, complex *alpha, complex *beta, complex *vsl,
integer *ldvsl, complex *vsr, integer *ldvsr, complex *work, integer *
lwork, real *rwork, logical *bwork, integer *info)
{
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, vsl_dim1, vsl_offset,
vsr_dim1, vsr_offset, i__1, i__2;
/* Builtin functions */
double sqrt(doublereal);
/* Local variables */
integer i__;
real dif[2];
integer ihi, ilo;
real eps, anrm, bnrm;
integer idum[1], ierr, itau, iwrk;
real pvsl, pvsr;
extern logical lsame_(char *, char *);
integer ileft, icols;
logical cursl, ilvsl, ilvsr;
integer 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 *), xerbla_(char *, integer *);
extern integer ilaenv_(integer *, char *, char *, integer *, integer *,
integer *, integer *);
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 *),
ctgsen_(integer *, logical *, logical *, logical *, integer *,
complex *, integer *, complex *, integer *, complex *, complex *,
complex *, integer *, complex *, integer *, integer *, real *,
real *, real *, complex *, integer *, integer *, integer *,
integer *);
integer ijobvl, iright, ijobvr;
real anrmto;
integer lwkmin;
logical lastsl;
real bnrmto;
extern /* Subroutine */ int cungqr_(integer *, integer *, integer *,
complex *, integer *, complex *, complex *, integer *, integer *),
cunmqr_(char *, char *, integer *, integer *, integer *, complex
*, integer *, complex *, complex *, integer *, complex *, integer
*, integer *);
real smlnum;
logical wantst, lquery;
integer lwkopt;
/* -- LAPACK driver routine (version 3.2) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* .. Function Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CGGES computes for a pair of N-by-N complex nonsymmetric matrices */
/* (A,B), the generalized eigenvalues, the generalized complex Schur */
/* form (S, T), and optionally left and/or right Schur vectors (VSL */
/* and VSR). This gives the generalized Schur factorization */
/* (A,B) = ( (VSL)*S*(VSR)**H, (VSL)*T*(VSR)**H ) */
/* where (VSR)**H is the conjugate-transpose of VSR. */
/* Optionally, it also orders the eigenvalues so that a selected cluster */
/* of eigenvalues appears in the leading diagonal blocks of the upper */
/* triangular matrix S and the upper triangular matrix T. The leading */
/* columns of VSL and VSR then form an unitary basis for the */
/* corresponding left and right eigenspaces (deflating subspaces). */
/* (If only the generalized eigenvalues are needed, use the driver */
/* CGGEV instead, which is faster.) */
/* A generalized eigenvalue for a pair of matrices (A,B) is a scalar w */
/* or a ratio alpha/beta = w, such that A - w*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. */
/* A pair of matrices (S,T) is in generalized complex Schur form if S */
/* and T are upper triangular and, in addition, the diagonal elements */
/* of T are non-negative real numbers. */
/* Arguments */
/* ========= */
/* JOBVSL (input) CHARACTER*1 */
/* = 'N': do not compute the left Schur vectors; */
/* = 'V': compute the left Schur vectors. */
/* JOBVSR (input) CHARACTER*1 */
/* = 'N': do not compute the right Schur vectors; */
/* = 'V': compute the right Schur vectors. */
/* SORT (input) CHARACTER*1 */
/* Specifies whether or not to order the eigenvalues on the */
/* diagonal of the generalized Schur form. */
/* = 'N': Eigenvalues are not ordered; */
/* = 'S': Eigenvalues are ordered (see SELCTG). */
/* SELCTG (external procedure) LOGICAL FUNCTION of two COMPLEX arguments */
/* SELCTG must be declared EXTERNAL in the calling subroutine. */
/* If SORT = 'N', SELCTG is not referenced. */
/* If SORT = 'S', SELCTG is used to select eigenvalues to sort */
/* to the top left of the Schur form. */
/* An eigenvalue ALPHA(j)/BETA(j) is selected if */
/* SELCTG(ALPHA(j),BETA(j)) is true. */
/* Note that a selected complex eigenvalue may no longer satisfy */
/* SELCTG(ALPHA(j),BETA(j)) = .TRUE. after ordering, since */
/* ordering may change the value of complex eigenvalues */
/* (especially if the eigenvalue is ill-conditioned), in this */
/* case INFO is set to N+2 (See INFO below). */
/* N (input) INTEGER */
/* The order of the matrices A, B, VSL, and VSR. N >= 0. */
/* A (input/output) COMPLEX array, dimension (LDA, N) */
/* On entry, the first of the pair of matrices. */
/* On exit, A has been overwritten by its generalized Schur */
/* form S. */
/* LDA (input) INTEGER */
/* The leading dimension of A. LDA >= max(1,N). */
/* B (input/output) COMPLEX array, dimension (LDB, N) */
/* On entry, the second of the pair of matrices. */
/* On exit, B has been overwritten by its generalized Schur */
/* form T. */
/* LDB (input) INTEGER */
/* The leading dimension of B. LDB >= max(1,N). */
/* SDIM (output) INTEGER */
/* If SORT = 'N', SDIM = 0. */
/* If SORT = 'S', SDIM = number of eigenvalues (after sorting) */
/* for which SELCTG is true. */
/* 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. ALPHA(j), j=1,...,N and BETA(j), */
/* j=1,...,N are the diagonals of the complex Schur form (A,B) */
/* output by CGGES. The BETA(j) will be non-negative real. */
/* 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). */
/* VSL (output) COMPLEX array, dimension (LDVSL,N) */
/* If JOBVSL = 'V', VSL will contain the left Schur vectors. */
/* Not referenced if JOBVSL = 'N'. */
/* LDVSL (input) INTEGER */
/* The leading dimension of the matrix VSL. LDVSL >= 1, and */
/* if JOBVSL = 'V', LDVSL >= N. */
/* VSR (output) COMPLEX array, dimension (LDVSR,N) */
/* If JOBVSR = 'V', VSR will contain the right Schur vectors. */
/* Not referenced if JOBVSR = 'N'. */
/* LDVSR (input) INTEGER */
/* The leading dimension of the matrix VSR. LDVSR >= 1, and */
/* if JOBVSR = 'V', LDVSR >= 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) REAL array, dimension (8*N) */
/* BWORK (workspace) LOGICAL array, dimension (N) */
/* Not referenced if SORT = '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. (A,B) are not in Schur */
/* form, but ALPHA(j) and BETA(j) should be correct for */
/* j=INFO+1,...,N. */
/* > N: =N+1: other than QZ iteration failed in CHGEQZ */
/* =N+2: after reordering, roundoff changed values of */
/* some complex eigenvalues so that leading */
/* eigenvalues in the Generalized Schur form no */
/* longer satisfy SELCTG=.TRUE. This could also */
/* be caused due to scaling. */
/* =N+3: reordering falied in CTGSEN. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. 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;
vsl_dim1 = *ldvsl;
vsl_offset = 1 + vsl_dim1;
vsl -= vsl_offset;
vsr_dim1 = *ldvsr;
vsr_offset = 1 + vsr_dim1;
vsr -= vsr_offset;
--work;
--rwork;
--bwork;
/* Function Body */
if (lsame_(jobvsl, "N")) {
ijobvl = 1;
ilvsl = FALSE_;
} else if (lsame_(jobvsl, "V")) {
ijobvl = 2;
ilvsl = TRUE_;
} else {
ijobvl = -1;
ilvsl = FALSE_;
}
if (lsame_(jobvsr, "N")) {
ijobvr = 1;
ilvsr = FALSE_;
} else if (lsame_(jobvsr, "V")) {
ijobvr = 2;
ilvsr = TRUE_;
} else {
ijobvr = -1;
ilvsr = FALSE_;
}
wantst = lsame_(sort, "S");
/* Test the input arguments */
*info = 0;
lquery = *lwork == -1;
if (ijobvl <= 0) {
*info = -1;
} else if (ijobvr <= 0) {
*info = -2;
} else if (! wantst && ! lsame_(sort, "N")) {
*info = -3;
} else if (*n < 0) {
*info = -5;
} else if (*lda < max(1,*n)) {
*info = -7;
} else if (*ldb < max(1,*n)) {
*info = -9;
} else if (*ldvsl < 1 || ilvsl && *ldvsl < *n) {
*info = -14;
} else if (*ldvsr < 1 || ilvsr && *ldvsr < *n) {
*info = -16;
}
/* 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.) */
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_n1);
lwkopt = max(i__1,i__2);
if (ilvsl) {
/* 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 = -18;
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CGGES ", &i__1);
return 0;
} else if (lquery) {
return 0;
}
/* Quick return if possible */
if (*n == 0) {
*sdim = 0;
return 0;
}
/* Get machine constants */
eps = slamch_("P");
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 matrix to make it more nearly triangular */
/* (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;
icols = *n + 1 - ilo;
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 VSL */
/* (Complex Workspace: need N, prefer N*NB) */
if (ilvsl) {
claset_("Full", n, n, &c_b1, &c_b2, &vsl[vsl_offset], ldvsl);
if (irows > 1) {
i__1 = irows - 1;
i__2 = irows - 1;
clacpy_("L", &i__1, &i__2, &b[ilo + 1 + ilo * b_dim1], ldb, &vsl[
ilo + 1 + ilo * vsl_dim1], ldvsl);
}
i__1 = *lwork + 1 - iwrk;
cungqr_(&irows, &irows, &irows, &vsl[ilo + ilo * vsl_dim1], ldvsl, &
work[itau], &work[iwrk], &i__1, &ierr);
}
/* Initialize VSR */
if (ilvsr) {
claset_("Full", n, n, &c_b1, &c_b2, &vsr[vsr_offset], ldvsr);
}
/* Reduce to generalized Hessenberg form */
/* (Workspace: none needed) */
cgghrd_(jobvsl, jobvsr, n, &ilo, &ihi, &a[a_offset], lda, &b[b_offset],
ldb, &vsl[vsl_offset], ldvsl, &vsr[vsr_offset], ldvsr, &ierr);
*sdim = 0;
/* Perform QZ algorithm, computing Schur vectors if desired */
/* (Complex Workspace: need N) */
/* (Real Workspace: need N) */
iwrk = itau;
i__1 = *lwork + 1 - iwrk;
chgeqz_("S", jobvsl, jobvsr, n, &ilo, &ihi, &a[a_offset], lda, &b[
b_offset], ldb, &alpha[1], &beta[1], &vsl[vsl_offset], ldvsl, &
vsr[vsr_offset], ldvsr, &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 L30;
}
/* Sort eigenvalues ALPHA/BETA if desired */
/* (Workspace: none needed) */
if (wantst) {
/* Undo scaling on eigenvalues before selecting */
if (ilascl) {
clascl_("G", &c__0, &c__0, &anrm, &anrmto, n, &c__1, &alpha[1], n,
&ierr);
}
if (ilbscl) {
clascl_("G", &c__0, &c__0, &bnrm, &bnrmto, n, &c__1, &beta[1], n,
&ierr);
}
/* Select eigenvalues */
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
bwork[i__] = (*selctg)(&alpha[i__], &beta[i__]);
/* L10: */
}
i__1 = *lwork - iwrk + 1;
ctgsen_(&c__0, &ilvsl, &ilvsr, &bwork[1], n, &a[a_offset], lda, &b[
b_offset], ldb, &alpha[1], &beta[1], &vsl[vsl_offset], ldvsl,
&vsr[vsr_offset], ldvsr, sdim, &pvsl, &pvsr, dif, &work[iwrk],
&i__1, idum, &c__1, &ierr);
if (ierr == 1) {
*info = *n + 3;
}
}
/* Apply back-permutation to VSL and VSR */
/* (Workspace: none needed) */
if (ilvsl) {
cggbak_("P", "L", n, &ilo, &ihi, &rwork[ileft], &rwork[iright], n, &
vsl[vsl_offset], ldvsl, &ierr);
}
if (ilvsr) {
cggbak_("P", "R", n, &ilo, &ihi, &rwork[ileft], &rwork[iright], n, &
vsr[vsr_offset], ldvsr, &ierr);
}
/* Undo scaling */
if (ilascl) {
clascl_("U", &c__0, &c__0, &anrmto, &anrm, n, n, &a[a_offset], lda, &
ierr);
clascl_("G", &c__0, &c__0, &anrmto, &anrm, n, &c__1, &alpha[1], n, &
ierr);
}
if (ilbscl) {
clascl_("U", &c__0, &c__0, &bnrmto, &bnrm, n, n, &b[b_offset], ldb, &
ierr);
clascl_("G", &c__0, &c__0, &bnrmto, &bnrm, n, &c__1, &beta[1], n, &
ierr);
}
if (wantst) {
/* Check if reordering is correct */
lastsl = TRUE_;
*sdim = 0;
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
cursl = (*selctg)(&alpha[i__], &beta[i__]);
if (cursl) {
++(*sdim);
}
if (cursl && ! lastsl) {
*info = *n + 2;
}
lastsl = cursl;
/* L20: */
}
}
L30:
work[1].r = (real) lwkopt, work[1].i = 0.f;
return 0;
/* End of CGGES */
} /* cgges_ */
int cgeev_(char *jobvl, char *jobvr, int *n, complex *a,
int *lda, complex *w, complex *vl, int *ldvl, complex *vr,
int *ldvr, complex *work, int *lwork, float *rwork, int *
info)
{
/* System generated locals */
int a_dim1, a_offset, vl_dim1, vl_offset, vr_dim1, vr_offset, i__1,
i__2, i__3;
float r__1, r__2;
complex q__1, q__2;
/* Builtin functions */
double sqrt(double), r_imag(complex *);
void r_cnjg(complex *, complex *);
/* Local variables */
int i__, k, ihi;
float scl;
int ilo;
float dum[1], eps;
complex tmp;
int ibal;
char side[1];
float anrm;
int ierr, itau, iwrk, nout;
extern int cscal_(int *, complex *, complex *,
int *);
extern int lsame_(char *, char *);
extern double scnrm2_(int *, complex *, int *);
extern int cgebak_(char *, char *, int *, int *,
int *, float *, int *, complex *, int *, int *), cgebal_(char *, int *, complex *, int *,
int *, int *, float *, int *), slabad_(float *,
float *);
int scalea;
extern double clange_(char *, int *, int *, complex *,
int *, float *);
float cscale;
extern int cgehrd_(int *, int *, int *,
complex *, int *, complex *, complex *, int *, int *),
clascl_(char *, int *, int *, float *, float *, int *,
int *, complex *, int *, int *);
extern double slamch_(char *);
extern int csscal_(int *, float *, complex *, int
*), clacpy_(char *, int *, int *, complex *, int *,
complex *, int *), xerbla_(char *, int *);
extern int ilaenv_(int *, char *, char *, int *, int *,
int *, int *);
int select[1];
float bignum;
extern int isamax_(int *, float *, int *);
extern int chseqr_(char *, char *, int *, int *,
int *, complex *, int *, complex *, complex *, int *,
complex *, int *, int *), ctrevc_(char *,
char *, int *, int *, complex *, int *, complex *,
int *, complex *, int *, int *, int *, complex *,
float *, int *), cunghr_(int *, int *,
int *, complex *, int *, complex *, complex *, int *,
int *);
int minwrk, maxwrk;
int wantvl;
float smlnum;
int hswork, irwork;
int lquery, wantvr;
/* -- LAPACK driver routine (version 3.2) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CGEEV computes for an N-by-N complex nonsymmetric matrix A, the */
/* eigenvalues and, optionally, the left and/or right eigenvectors. */
/* 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 float. */
/* Arguments */
/* ========= */
/* JOBVL (input) CHARACTER*1 */
/* = 'N': left eigenvectors of A are not computed; */
/* = 'V': left eigenvectors of are computed. */
/* JOBVR (input) CHARACTER*1 */
/* = 'N': right eigenvectors of A are not computed; */
/* = 'V': right eigenvectors of A are computed. */
/* N (input) INTEGER */
/* The order of the matrix A. N >= 0. */
/* A (input/output) COMPLEX array, dimension (LDA,N) */
/* On entry, the N-by-N matrix A. */
/* On exit, A has been overwritten. */
/* LDA (input) INTEGER */
/* The leading dimension of the array A. LDA >= MAX(1,N). */
/* W (output) COMPLEX array, dimension (N) */
/* W contains the computed eigenvalues. */
/* VL (output) COMPLEX 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. */
/* u(j) = VL(:,j), the j-th column of VL. */
/* LDVL (input) INTEGER */
/* The leading dimension of the array VL. LDVL >= 1; if */
/* JOBVL = 'V', LDVL >= N. */
/* VR (output) COMPLEX 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. */
/* v(j) = VR(:,j), the j-th column of VR. */
/* LDVR (input) INTEGER */
/* The leading dimension of the array VR. LDVR >= 1; 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) REAL array, dimension (2*N) */
/* INFO (output) 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 have been computed; */
/* elements and i+1:N of W contain eigenvalues which have */
/* converged. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Test the input arguments */
/* Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--w;
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 */
*info = 0;
lquery = *lwork == -1;
wantvl = lsame_(jobvl, "V");
wantvr = lsame_(jobvr, "V");
if (! wantvl && ! lsame_(jobvl, "N")) {
*info = -1;
} else if (! wantvr && ! lsame_(jobvr, "N")) {
*info = -2;
} else if (*n < 0) {
*info = -3;
} else if (*lda < MAX(1,*n)) {
*info = -5;
} else if (*ldvl < 1 || wantvl && *ldvl < *n) {
*info = -8;
} else if (*ldvr < 1 || wantvr && *ldvr < *n) {
*info = -10;
}
/* 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. */
/* CWorkspace refers to complex workspace, and RWorkspace to float */
/* workspace. NB refers to the optimal block size for the */
/* immediately following subroutine, as returned by ILAENV. */
/* HSWORK refers to the workspace preferred by CHSEQR, 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 * ilaenv_(&c__1, "CGEHRD", " ", n, &c__1, n, &
c__0);
minwrk = *n << 1;
if (wantvl) {
/* Computing MAX */
i__1 = maxwrk, i__2 = *n + (*n - 1) * ilaenv_(&c__1, "CUNGHR",
" ", n, &c__1, n, &c_n1);
maxwrk = MAX(i__1,i__2);
chseqr_("S", "V", n, &c__1, n, &a[a_offset], lda, &w[1], &vl[
vl_offset], ldvl, &work[1], &c_n1, info);
} else if (wantvr) {
/* Computing MAX */
i__1 = maxwrk, i__2 = *n + (*n - 1) * ilaenv_(&c__1, "CUNGHR",
" ", n, &c__1, n, &c_n1);
maxwrk = MAX(i__1,i__2);
chseqr_("S", "V", n, &c__1, n, &a[a_offset], lda, &w[1], &vr[
vr_offset], ldvr, &work[1], &c_n1, info);
} else {
chseqr_("E", "N", n, &c__1, n, &a[a_offset], lda, &w[1], &vr[
vr_offset], ldvr, &work[1], &c_n1, info);
}
hswork = work[1].r;
/* Computing MAX */
i__1 = MAX(maxwrk,hswork);
maxwrk = MAX(i__1,minwrk);
}
work[1].r = (float) maxwrk, work[1].i = 0.f;
if (*lwork < minwrk && ! lquery) {
*info = -12;
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CGEEV ", &i__1);
return 0;
} else if (lquery) {
return 0;
}
/* Quick return if possible */
if (*n == 0) {
return 0;
}
/* Get machine constants */
eps = slamch_("P");
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, dum);
scalea = FALSE;
if (anrm > 0.f && anrm < smlnum) {
scalea = TRUE;
cscale = smlnum;
} else if (anrm > bignum) {
scalea = TRUE;
cscale = bignum;
}
if (scalea) {
clascl_("G", &c__0, &c__0, &anrm, &cscale, n, n, &a[a_offset], lda, &
ierr);
}
/* Balance the matrix */
/* (CWorkspace: none) */
/* (RWorkspace: need N) */
ibal = 1;
cgebal_("B", n, &a[a_offset], lda, &ilo, &ihi, &rwork[ibal], &ierr);
/* Reduce to upper Hessenberg form */
/* (CWorkspace: need 2*N, prefer N+N*NB) */
/* (RWorkspace: none) */
itau = 1;
iwrk = itau + *n;
i__1 = *lwork - iwrk + 1;
cgehrd_(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';
clacpy_("L", n, n, &a[a_offset], lda, &vl[vl_offset], ldvl)
;
/* Generate unitary matrix in VL */
/* (CWorkspace: need 2*N-1, prefer N+(N-1)*NB) */
/* (RWorkspace: none) */
i__1 = *lwork - iwrk + 1;
cunghr_(n, &ilo, &ihi, &vl[vl_offset], ldvl, &work[itau], &work[iwrk],
&i__1, &ierr);
/* Perform QR iteration, accumulating Schur vectors in VL */
/* (CWorkspace: need 1, prefer HSWORK (see comments) ) */
/* (RWorkspace: none) */
iwrk = itau;
i__1 = *lwork - iwrk + 1;
chseqr_("S", "V", n, &ilo, &ihi, &a[a_offset], lda, &w[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';
clacpy_("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';
clacpy_("L", n, n, &a[a_offset], lda, &vr[vr_offset], ldvr)
;
/* Generate unitary matrix in VR */
/* (CWorkspace: need 2*N-1, prefer N+(N-1)*NB) */
/* (RWorkspace: none) */
i__1 = *lwork - iwrk + 1;
cunghr_(n, &ilo, &ihi, &vr[vr_offset], ldvr, &work[itau], &work[iwrk],
&i__1, &ierr);
/* Perform QR iteration, accumulating Schur vectors in VR */
/* (CWorkspace: need 1, prefer HSWORK (see comments) ) */
/* (RWorkspace: none) */
iwrk = itau;
i__1 = *lwork - iwrk + 1;
chseqr_("S", "V", n, &ilo, &ihi, &a[a_offset], lda, &w[1], &vr[
vr_offset], ldvr, &work[iwrk], &i__1, info);
} else {
/* Compute eigenvalues only */
/* (CWorkspace: need 1, prefer HSWORK (see comments) ) */
/* (RWorkspace: none) */
iwrk = itau;
i__1 = *lwork - iwrk + 1;
chseqr_("E", "N", n, &ilo, &ihi, &a[a_offset], lda, &w[1], &vr[
vr_offset], ldvr, &work[iwrk], &i__1, info);
}
/* If INFO > 0 from CHSEQR, then quit */
if (*info > 0) {
goto L50;
}
if (wantvl || wantvr) {
/* Compute left and/or right eigenvectors */
/* (CWorkspace: need 2*N) */
/* (RWorkspace: need 2*N) */
irwork = ibal + *n;
ctrevc_(side, "B", select, n, &a[a_offset], lda, &vl[vl_offset], ldvl,
&vr[vr_offset], ldvr, n, &nout, &work[iwrk], &rwork[irwork],
&ierr);
}
if (wantvl) {
/* Undo balancing of left eigenvectors */
/* (CWorkspace: none) */
/* (RWorkspace: need N) */
cgebak_("B", "L", n, &ilo, &ihi, &rwork[ibal], n, &vl[vl_offset],
ldvl, &ierr);
/* Normalize left eigenvectors and make largest component float */
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
scl = 1.f / scnrm2_(n, &vl[i__ * vl_dim1 + 1], &c__1);
csscal_(n, &scl, &vl[i__ * vl_dim1 + 1], &c__1);
i__2 = *n;
for (k = 1; k <= i__2; ++k) {
i__3 = k + i__ * vl_dim1;
/* Computing 2nd power */
r__1 = vl[i__3].r;
/* Computing 2nd power */
r__2 = r_imag(&vl[k + i__ * vl_dim1]);
rwork[irwork + k - 1] = r__1 * r__1 + r__2 * r__2;
/* L10: */
}
k = isamax_(n, &rwork[irwork], &c__1);
r_cnjg(&q__2, &vl[k + i__ * vl_dim1]);
r__1 = sqrt(rwork[irwork + k - 1]);
q__1.r = q__2.r / r__1, q__1.i = q__2.i / r__1;
tmp.r = q__1.r, tmp.i = q__1.i;
cscal_(n, &tmp, &vl[i__ * vl_dim1 + 1], &c__1);
i__2 = k + i__ * vl_dim1;
i__3 = k + i__ * vl_dim1;
r__1 = vl[i__3].r;
q__1.r = r__1, q__1.i = 0.f;
vl[i__2].r = q__1.r, vl[i__2].i = q__1.i;
/* L20: */
}
}
if (wantvr) {
/* Undo balancing of right eigenvectors */
/* (CWorkspace: none) */
/* (RWorkspace: need N) */
cgebak_("B", "R", n, &ilo, &ihi, &rwork[ibal], n, &vr[vr_offset],
ldvr, &ierr);
/* Normalize right eigenvectors and make largest component float */
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
scl = 1.f / scnrm2_(n, &vr[i__ * vr_dim1 + 1], &c__1);
csscal_(n, &scl, &vr[i__ * vr_dim1 + 1], &c__1);
i__2 = *n;
for (k = 1; k <= i__2; ++k) {
i__3 = k + i__ * vr_dim1;
/* Computing 2nd power */
r__1 = vr[i__3].r;
/* Computing 2nd power */
r__2 = r_imag(&vr[k + i__ * vr_dim1]);
rwork[irwork + k - 1] = r__1 * r__1 + r__2 * r__2;
/* L30: */
}
k = isamax_(n, &rwork[irwork], &c__1);
r_cnjg(&q__2, &vr[k + i__ * vr_dim1]);
r__1 = sqrt(rwork[irwork + k - 1]);
q__1.r = q__2.r / r__1, q__1.i = q__2.i / r__1;
tmp.r = q__1.r, tmp.i = q__1.i;
cscal_(n, &tmp, &vr[i__ * vr_dim1 + 1], &c__1);
i__2 = k + i__ * vr_dim1;
i__3 = k + i__ * vr_dim1;
r__1 = vr[i__3].r;
q__1.r = r__1, q__1.i = 0.f;
vr[i__2].r = q__1.r, vr[i__2].i = q__1.i;
/* L40: */
}
}
/* Undo scaling if necessary */
L50:
if (scalea) {
i__1 = *n - *info;
/* Computing MAX */
i__3 = *n - *info;
i__2 = MAX(i__3,1);
clascl_("G", &c__0, &c__0, &cscale, &anrm, &i__1, &c__1, &w[*info + 1]
, &i__2, &ierr);
if (*info > 0) {
i__1 = ilo - 1;
clascl_("G", &c__0, &c__0, &cscale, &anrm, &i__1, &c__1, &w[1], n,
&ierr);
}
}
work[1].r = (float) maxwrk, work[1].i = 0.f;
return 0;
/* End of CGEEV */
} /* cgeev_ */
/* Subroutine */ int csyt03_(char *uplo, integer *n, complex *a, integer *lda,
complex *ainv, integer *ldainv, complex *work, integer *ldwork, real
*rwork, real *rcond, real *resid)
{
/* System generated locals */
integer a_dim1, a_offset, ainv_dim1, ainv_offset, work_dim1, work_offset,
i__1, i__2, i__3, i__4;
complex q__1;
/* Local variables */
integer i__, j;
real eps;
extern logical lsame_(char *, char *);
real anorm;
extern /* Subroutine */ int csymm_(char *, char *, integer *, integer *,
complex *, complex *, integer *, complex *, integer *, complex *,
complex *, integer *);
extern doublereal clange_(char *, integer *, integer *, complex *,
integer *, real *), slamch_(char *);
real ainvnm;
extern doublereal clansy_(char *, char *, integer *, complex *, integer *,
real *);
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CSYT03 computes the residual for a complex symmetric matrix times */
/* its inverse: */
/* norm( I - A*AINV ) / ( N * norm(A) * norm(AINV) * EPS ) */
/* where EPS is the machine epsilon. */
/* Arguments */
/* ========== */
/* UPLO (input) CHARACTER*1 */
/* Specifies whether the upper or lower triangular part of the */
/* complex symmetric matrix A is stored: */
/* = 'U': Upper triangular */
/* = 'L': Lower triangular */
/* N (input) INTEGER */
/* The number of rows and columns of the matrix A. N >= 0. */
/* A (input) COMPLEX array, dimension (LDA,N) */
/* The original complex symmetric matrix A. */
/* LDA (input) INTEGER */
/* The leading dimension of the array A. LDA >= max(1,N) */
/* AINV (input/output) COMPLEX array, dimension (LDAINV,N) */
/* On entry, the inverse of the matrix A, stored as a symmetric */
/* matrix in the same format as A. */
/* In this version, AINV is expanded into a full matrix and */
/* multiplied by A, so the opposing triangle of AINV will be */
/* changed; i.e., if the upper triangular part of AINV is */
/* stored, the lower triangular part will be used as work space. */
/* LDAINV (input) INTEGER */
/* The leading dimension of the array AINV. LDAINV >= max(1,N). */
/* WORK (workspace) COMPLEX array, dimension (LDWORK,N) */
/* LDWORK (input) INTEGER */
/* The leading dimension of the array WORK. LDWORK >= max(1,N). */
/* RWORK (workspace) REAL array, dimension (N) */
/* RCOND (output) REAL */
/* The reciprocal of the condition number of A, computed as */
/* RCOND = 1/ (norm(A) * norm(AINV)). */
/* RESID (output) REAL */
/* norm(I - A*AINV) / ( N * norm(A) * norm(AINV) * EPS ) */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Quick exit if N = 0 */
/* Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
ainv_dim1 = *ldainv;
ainv_offset = 1 + ainv_dim1;
ainv -= ainv_offset;
work_dim1 = *ldwork;
work_offset = 1 + work_dim1;
work -= work_offset;
--rwork;
/* Function Body */
if (*n <= 0) {
*rcond = 1.f;
*resid = 0.f;
return 0;
}
/* Exit with RESID = 1/EPS if ANORM = 0 or AINVNM = 0. */
eps = slamch_("Epsilon");
anorm = clansy_("1", uplo, n, &a[a_offset], lda, &rwork[1]);
ainvnm = clansy_("1", uplo, n, &ainv[ainv_offset], ldainv, &rwork[1]);
if (anorm <= 0.f || ainvnm <= 0.f) {
*rcond = 0.f;
*resid = 1.f / eps;
return 0;
}
*rcond = 1.f / anorm / ainvnm;
/* Expand AINV into a full matrix and call CSYMM to multiply */
/* AINV on the left by A (store the result in WORK). */
if (lsame_(uplo, "U")) {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = j - 1;
for (i__ = 1; i__ <= i__2; ++i__) {
i__3 = j + i__ * ainv_dim1;
i__4 = i__ + j * ainv_dim1;
ainv[i__3].r = ainv[i__4].r, ainv[i__3].i = ainv[i__4].i;
/* L10: */
}
/* L20: */
}
} else {
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = j + 1; i__ <= i__2; ++i__) {
i__3 = j + i__ * ainv_dim1;
i__4 = i__ + j * ainv_dim1;
ainv[i__3].r = ainv[i__4].r, ainv[i__3].i = ainv[i__4].i;
/* L30: */
}
/* L40: */
}
}
q__1.r = -1.f, q__1.i = -0.f;
csymm_("Left", uplo, n, n, &q__1, &a[a_offset], lda, &ainv[ainv_offset],
ldainv, &c_b1, &work[work_offset], ldwork);
/* Add the identity matrix to WORK . */
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = i__ + i__ * work_dim1;
i__3 = i__ + i__ * work_dim1;
q__1.r = work[i__3].r + 1.f, q__1.i = work[i__3].i + 0.f;
work[i__2].r = q__1.r, work[i__2].i = q__1.i;
/* L50: */
}
/* Compute norm(I - A*AINV) / (N * norm(A) * norm(AINV) * EPS) */
*resid = clange_("1", n, n, &work[work_offset], ldwork, &rwork[1]);
*resid = *resid * *rcond / eps / (real) (*n);
return 0;
/* End of CSYT03 */
} /* csyt03_ */
