/* Subroutine */ int cchkbd_(integer *nsizes, integer *mval, integer *nval,
integer *ntypes, logical *dotype, integer *nrhs, integer *iseed, real
*thresh, complex *a, integer *lda, real *bd, real *be, real *s1, real
*s2, complex *x, integer *ldx, complex *y, complex *z__, complex *q,
integer *ldq, complex *pt, integer *ldpt, complex *u, complex *vt,
complex *work, integer *lwork, real *rwork, integer *nout, integer *
info)
{
/* Initialized data */
static integer ktype[16] = { 1,2,4,4,4,4,4,6,6,6,6,6,9,9,9,10 };
static integer kmagn[16] = { 1,1,1,1,1,2,3,1,1,1,2,3,1,2,3,0 };
static integer kmode[16] = { 0,0,4,3,1,4,4,4,3,1,4,4,0,0,0,0 };
/* Format strings */
static char fmt_9998[] = "(\002 CCHKBD: \002,a,\002 returned INFO=\002,i"
"6,\002.\002,/9x,\002M=\002,i6,\002, N=\002,i6,\002, JTYPE=\002,i"
"6,\002, ISEED=(\002,3(i5,\002,\002),i5,\002)\002)";
static char fmt_9999[] = "(\002 M=\002,i5,\002, N=\002,i5,\002, type "
"\002,i2,\002, seed=\002,4(i4,\002,\002),\002 test(\002,i2,\002)"
"=\002,g11.4)";
/* System generated locals */
integer a_dim1, a_offset, pt_dim1, pt_offset, q_dim1, q_offset, u_dim1,
u_offset, vt_dim1, vt_offset, x_dim1, x_offset, y_dim1, y_offset,
z_dim1, z_offset, i__1, i__2, i__3, i__4, i__5, i__6, i__7;
real r__1, r__2, r__3, r__4, r__5, r__6, r__7;
/* Builtin functions
Subroutine */ int s_copy(char *, char *, ftnlen, ftnlen);
double log(doublereal), sqrt(doublereal), exp(doublereal);
integer s_wsfe(cilist *), do_fio(integer *, char *, ftnlen), e_wsfe(void);
/* Local variables */
static real cond;
static integer jcol;
static char path[3];
static integer mmax, nmax;
static real unfl, ovfl;
static char uplo[1];
static real temp1, temp2;
static integer i__, j, m, n;
extern /* Subroutine */ int cbdt01_(integer *, integer *, integer *,
complex *, integer *, complex *, integer *, real *, real *,
complex *, integer *, complex *, real *, real *);
static logical badmm, badnn;
extern /* Subroutine */ int cbdt02_(integer *, integer *, complex *,
integer *, complex *, integer *, complex *, integer *, complex *,
real *, real *), cbdt03_(char *, integer *, integer *, real *,
real *, complex *, integer *, real *, complex *, integer *,
complex *, real *);
static integer nfail, imode;
extern /* Subroutine */ int cgemm_(char *, char *, integer *, integer *,
integer *, complex *, complex *, integer *, complex *, integer *,
complex *, complex *, integer *);
static real dumma[1];
static integer iinfo;
extern /* Subroutine */ int cunt01_(char *, integer *, integer *, complex
*, integer *, complex *, integer *, real *, real *);
static real anorm;
static integer mnmin, mnmax, jsize, itype, jtype, iwork[1], ntest;
extern /* Subroutine */ int scopy_(integer *, real *, integer *, real *,
integer *), slahd2_(integer *, char *);
static integer log2ui;
static logical bidiag;
extern /* Subroutine */ int cgebrd_(integer *, integer *, complex *,
integer *, real *, real *, complex *, complex *, complex *,
integer *, integer *), slabad_(real *, real *);
static integer mq;
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 *);
static integer ioldsd[4];
extern /* Subroutine */ int cbdsqr_(char *, integer *, integer *, integer
*, integer *, real *, real *, complex *, integer *, complex *,
integer *, complex *, integer *, real *, integer *),
cungbr_(char *, integer *, integer *, integer *, complex *,
integer *, complex *, complex *, integer *, integer *),
alasum_(char *, integer *, integer *, integer *, integer *);
extern doublereal slarnd_(integer *, integer *);
extern /* Subroutine */ int clatmr_(integer *, integer *, char *, integer
*, char *, complex *, integer *, real *, complex *, char *, char *
, complex *, integer *, real *, complex *, integer *, real *,
char *, integer *, integer *, integer *, real *, real *, char *,
complex *, integer *, integer *, integer *), clatms_(integer *, integer *,
char *, integer *, char *, real *, integer *, real *, real *,
integer *, integer *, char *, complex *, integer *, complex *,
integer *);
static real amninv;
extern /* Subroutine */ int ssvdch_(integer *, real *, real *, real *,
real *, integer *);
static integer minwrk;
static real rtunfl, rtovfl, ulpinv, result[14];
static integer mtypes;
static real ulp;
/* Fortran I/O blocks */
static cilist io___40 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___41 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___43 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___44 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___45 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___46 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___50 = { 0, 0, 0, fmt_9999, 0 };
#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)]
/* -- 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
=======
CCHKBD checks the singular value decomposition (SVD) routines.
CGEBRD reduces a complex general m by n matrix A to real upper or
lower bidiagonal form by an orthogonal transformation: Q' * A * P = B
(or A = Q * B * P'). The matrix B is upper bidiagonal if m >= n
and lower bidiagonal if m < n.
CUNGBR generates the orthogonal matrices Q and P' from CGEBRD.
Note that Q and P are not necessarily square.
CBDSQR computes the singular value decomposition of the bidiagonal
matrix B as B = U S V'. It is called three times to compute
1) B = U S1 V', where S1 is the diagonal matrix of singular
values and the columns of the matrices U and V are the left
and right singular vectors, respectively, of B.
2) Same as 1), but the singular values are stored in S2 and the
singular vectors are not computed.
3) A = (UQ) S (P'V'), the SVD of the original matrix A.
In addition, CBDSQR has an option to apply the left orthogonal matrix
U to a matrix X, useful in least squares applications.
For each pair of matrix dimensions (M,N) and each selected matrix
type, an M by N matrix A and an M by NRHS matrix X are generated.
The problem dimensions are as follows
A: M x N
Q: M x min(M,N) (but M x M if NRHS > 0)
P: min(M,N) x N
B: min(M,N) x min(M,N)
U, V: min(M,N) x min(M,N)
S1, S2 diagonal, order min(M,N)
X: M x NRHS
For each generated matrix, 14 tests are performed:
Test CGEBRD and CUNGBR
(1) | A - Q B PT | / ( |A| max(M,N) ulp ), PT = P'
(2) | I - Q' Q | / ( M ulp )
(3) | I - PT PT' | / ( N ulp )
Test CBDSQR on bidiagonal matrix B
(4) | B - U S1 VT | / ( |B| min(M,N) ulp ), VT = V'
(5) | Y - U Z | / ( |Y| max(min(M,N),k) ulp ), where Y = Q' X
and Z = U' Y.
(6) | I - U' U | / ( min(M,N) ulp )
(7) | I - VT VT' | / ( min(M,N) ulp )
(8) S1 contains min(M,N) nonnegative values in decreasing order.
(Return 0 if true, 1/ULP if false.)
(9) 0 if the true singular values of B are within THRESH of
those in S1. 2*THRESH if they are not. (Tested using
SSVDCH)
(10) | S1 - S2 | / ( |S1| ulp ), where S2 is computed without
computing U and V.
Test CBDSQR on matrix A
(11) | A - (QU) S (VT PT) | / ( |A| max(M,N) ulp )
(12) | X - (QU) Z | / ( |X| max(M,k) ulp )
(13) | I - (QU)'(QU) | / ( M ulp )
(14) | I - (VT PT) (PT'VT') | / ( N ulp )
The possible matrix types are
(1) The zero matrix.
(2) The identity matrix.
(3) A diagonal matrix with evenly spaced entries
1, ..., ULP and random signs.
(ULP = (first number larger than 1) - 1 )
(4) A diagonal matrix with geometrically spaced entries
1, ..., ULP and random signs.
(5) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP
and random signs.
(6) Same as (3), but multiplied by SQRT( overflow threshold )
(7) Same as (3), but multiplied by SQRT( underflow threshold )
(8) A matrix of the form U D V, where U and V are orthogonal and
D has evenly spaced entries 1, ..., ULP with random signs
on the diagonal.
(9) A matrix of the form U D V, where U and V are orthogonal and
D has geometrically spaced entries 1, ..., ULP with random
signs on the diagonal.
(10) A matrix of the form U D V, where U and V are orthogonal and
D has "clustered" entries 1, ULP,..., ULP with random
signs on the diagonal.
(11) Same as (8), but multiplied by SQRT( overflow threshold )
(12) Same as (8), but multiplied by SQRT( underflow threshold )
(13) Rectangular matrix with random entries chosen from (-1,1).
(14) Same as (13), but multiplied by SQRT( overflow threshold )
(15) Same as (13), but multiplied by SQRT( underflow threshold )
Special case:
(16) A bidiagonal matrix with random entries chosen from a
logarithmic distribution on [ulp^2,ulp^(-2)] (I.e., each
entry is e^x, where x is chosen uniformly on
[ 2 log(ulp), -2 log(ulp) ] .) For *this* type:
(a) CGEBRD is not called to reduce it to bidiagonal form.
(b) the bidiagonal is min(M,N) x min(M,N); if M<N, the
matrix will be lower bidiagonal, otherwise upper.
(c) only tests 5--8 and 14 are performed.
A subset of the full set of matrix types may be selected through
the logical array DOTYPE.
Arguments
==========
NSIZES (input) INTEGER
The number of values of M and N contained in the vectors
MVAL and NVAL. The matrix sizes are used in pairs (M,N).
MVAL (input) INTEGER array, dimension (NM)
The values of the matrix row dimension M.
NVAL (input) INTEGER array, dimension (NM)
The values of the matrix column dimension N.
NTYPES (input) INTEGER
The number of elements in DOTYPE. If it is zero, CCHKBD
does nothing. It must be at least zero. If it is MAXTYP+1
and NSIZES is 1, then an additional type, MAXTYP+1 is
defined, which is to use whatever matrices are in A and B.
This is only useful if DOTYPE(1:MAXTYP) is .FALSE. and
DOTYPE(MAXTYP+1) is .TRUE. .
DOTYPE (input) LOGICAL array, dimension (NTYPES)
If DOTYPE(j) is .TRUE., then for each size (m,n), a matrix
of type j will be generated. If NTYPES is smaller than the
maximum number of types defined (PARAMETER MAXTYP), then
types NTYPES+1 through MAXTYP will not be generated. If
NTYPES is larger than MAXTYP, DOTYPE(MAXTYP+1) through
DOTYPE(NTYPES) will be ignored.
NRHS (input) INTEGER
The number of columns in the "right-hand side" matrices X, Y,
and Z, used in testing CBDSQR. If NRHS = 0, then the
operations on the right-hand side will not be tested.
NRHS must be at least 0.
ISEED (input/output) INTEGER array, dimension (4)
On entry ISEED specifies the seed of the random number
generator. The array elements should be between 0 and 4095;
if not they will be reduced mod 4096. Also, ISEED(4) must
be odd. The values of ISEED are changed on exit, and can be
used in the next call to CCHKBD to continue the same random
number sequence.
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. Note that the
expected value of the test ratios is O(1), so THRESH should
be a reasonably small multiple of 1, e.g., 10 or 100.
A (workspace) COMPLEX array, dimension (LDA,NMAX)
where NMAX is the maximum value of N in NVAL.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,MMAX),
where MMAX is the maximum value of M in MVAL.
BD (workspace) REAL array, dimension
(max(min(MVAL(j),NVAL(j))))
BE (workspace) REAL array, dimension
(max(min(MVAL(j),NVAL(j))))
S1 (workspace) REAL array, dimension
(max(min(MVAL(j),NVAL(j))))
S2 (workspace) REAL array, dimension
(max(min(MVAL(j),NVAL(j))))
X (workspace) COMPLEX array, dimension (LDX,NRHS)
LDX (input) INTEGER
The leading dimension of the arrays X, Y, and Z.
LDX >= max(1,MMAX).
Y (workspace) COMPLEX array, dimension (LDX,NRHS)
Z (workspace) COMPLEX array, dimension (LDX,NRHS)
Q (workspace) COMPLEX array, dimension (LDQ,MMAX)
LDQ (input) INTEGER
The leading dimension of the array Q. LDQ >= max(1,MMAX).
PT (workspace) COMPLEX array, dimension (LDPT,NMAX)
LDPT (input) INTEGER
The leading dimension of the arrays PT, U, and V.
LDPT >= max(1, max(min(MVAL(j),NVAL(j)))).
U (workspace) COMPLEX array, dimension
(LDPT,max(min(MVAL(j),NVAL(j))))
V (workspace) COMPLEX array, dimension
(LDPT,max(min(MVAL(j),NVAL(j))))
WORK (workspace) COMPLEX array, dimension (LWORK)
LWORK (input) INTEGER
The number of entries in WORK. This must be at least
3(M+N) and M(M + max(M,N,k) + 1) + N*min(M,N) for all
pairs (M,N)=(MM(j),NN(j))
RWORK (workspace) REAL array, dimension
(5*max(min(M,N)))
NOUT (input) INTEGER
The FORTRAN unit number for printing out error messages
(e.g., if a routine returns IINFO not equal to 0.)
INFO (output) INTEGER
If 0, then everything ran OK.
-1: NSIZES < 0
-2: Some MM(j) < 0
-3: Some NN(j) < 0
-4: NTYPES < 0
-6: NRHS < 0
-8: THRESH < 0
-11: LDA < 1 or LDA < MMAX, where MMAX is max( MM(j) ).
-17: LDB < 1 or LDB < MMAX.
-21: LDQ < 1 or LDQ < MMAX.
-23: LDP < 1 or LDP < MNMAX.
-27: LWORK too small.
If CLATMR, CLATMS, CGEBRD, CUNGBR, or CBDSQR,
returns an error code, the
absolute value of it is returned.
-----------------------------------------------------------------------
Some Local Variables and Parameters:
---- ----- --------- --- ----------
ZERO, ONE Real 0 and 1.
MAXTYP The number of types defined.
NTEST The number of tests performed, or which can
be performed so far, for the current matrix.
MMAX Largest value in NN.
NMAX Largest value in NN.
MNMIN min(MM(j), NN(j)) (the dimension of the bidiagonal
matrix.)
MNMAX The maximum value of MNMIN for j=1,...,NSIZES.
NFAIL The number of tests which have exceeded THRESH
COND, IMODE Values to be passed to the matrix generators.
ANORM Norm of A; passed to matrix generators.
OVFL, UNFL Overflow and underflow thresholds.
RTOVFL, RTUNFL Square roots of the previous 2 values.
ULP, ULPINV Finest relative precision and its inverse.
The following four arrays decode JTYPE:
KTYPE(j) The general type (1-10) for type "j".
KMODE(j) The MODE value to be passed to the matrix
generator for type "j".
KMAGN(j) The order of magnitude ( O(1),
O(overflow^(1/2) ), O(underflow^(1/2) )
======================================================================
Parameter adjustments */
--mval;
--nval;
--dotype;
--iseed;
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
--bd;
--be;
--s1;
--s2;
z_dim1 = *ldx;
z_offset = 1 + z_dim1 * 1;
z__ -= z_offset;
y_dim1 = *ldx;
y_offset = 1 + y_dim1 * 1;
y -= y_offset;
x_dim1 = *ldx;
x_offset = 1 + x_dim1 * 1;
x -= x_offset;
q_dim1 = *ldq;
q_offset = 1 + q_dim1 * 1;
q -= q_offset;
vt_dim1 = *ldpt;
vt_offset = 1 + vt_dim1 * 1;
vt -= vt_offset;
u_dim1 = *ldpt;
u_offset = 1 + u_dim1 * 1;
u -= u_offset;
pt_dim1 = *ldpt;
pt_offset = 1 + pt_dim1 * 1;
pt -= pt_offset;
--work;
--rwork;
/* Function Body
Check for errors */
*info = 0;
badmm = FALSE_;
badnn = FALSE_;
mmax = 1;
nmax = 1;
mnmax = 1;
minwrk = 1;
i__1 = *nsizes;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = mmax, i__3 = mval[j];
mmax = max(i__2,i__3);
if (mval[j] < 0) {
badmm = TRUE_;
}
/* Computing MAX */
i__2 = nmax, i__3 = nval[j];
nmax = max(i__2,i__3);
if (nval[j] < 0) {
badnn = TRUE_;
}
/* Computing MAX
Computing MIN */
i__4 = mval[j], i__5 = nval[j];
i__2 = mnmax, i__3 = min(i__4,i__5);
mnmax = max(i__2,i__3);
/* Computing MAX
Computing MAX */
i__4 = mval[j], i__5 = nval[j], i__4 = max(i__4,i__5);
/* Computing MIN */
i__6 = nval[j], i__7 = mval[j];
i__2 = minwrk, i__3 = (mval[j] + nval[j]) * 3, i__2 = max(i__2,i__3),
i__3 = mval[j] * (mval[j] + max(i__4,*nrhs) + 1) + nval[j] *
min(i__6,i__7);
minwrk = max(i__2,i__3);
/* L10: */
}
/* Check for errors */
if (*nsizes < 0) {
*info = -1;
} else if (badmm) {
*info = -2;
} else if (badnn) {
*info = -3;
} else if (*ntypes < 0) {
*info = -4;
} else if (*nrhs < 0) {
*info = -6;
} else if (*lda < mmax) {
*info = -11;
} else if (*ldx < mmax) {
*info = -17;
} else if (*ldq < mmax) {
*info = -21;
} else if (*ldpt < mnmax) {
*info = -23;
} else if (minwrk > *lwork) {
*info = -27;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CCHKBD", &i__1);
return 0;
}
/* Initialize constants */
s_copy(path, "Complex precision", (ftnlen)1, (ftnlen)17);
s_copy(path + 1, "BD", (ftnlen)2, (ftnlen)2);
nfail = 0;
ntest = 0;
unfl = slamch_("Safe minimum");
ovfl = slamch_("Overflow");
slabad_(&unfl, &ovfl);
ulp = slamch_("Precision");
ulpinv = 1.f / ulp;
log2ui = (integer) (log(ulpinv) / log(2.f));
rtunfl = sqrt(unfl);
rtovfl = sqrt(ovfl);
infoc_1.infot = 0;
/* Loop over sizes, types */
i__1 = *nsizes;
for (jsize = 1; jsize <= i__1; ++jsize) {
m = mval[jsize];
n = nval[jsize];
mnmin = min(m,n);
/* Computing MAX */
i__2 = max(m,n);
amninv = 1.f / max(i__2,1);
if (*nsizes != 1) {
mtypes = min(16,*ntypes);
} else {
mtypes = min(17,*ntypes);
}
i__2 = mtypes;
for (jtype = 1; jtype <= i__2; ++jtype) {
if (! dotype[jtype]) {
goto L170;
}
for (j = 1; j <= 4; ++j) {
ioldsd[j - 1] = iseed[j];
/* L20: */
}
for (j = 1; j <= 14; ++j) {
result[j - 1] = -1.f;
/* L30: */
}
*(unsigned char *)uplo = ' ';
/* Compute "A"
Control parameters:
KMAGN KMODE KTYPE
=1 O(1) clustered 1 zero
=2 large clustered 2 identity
=3 small exponential (none)
=4 arithmetic diagonal, (w/ eigenvalues)
=5 random symmetric, w/ eigenvalues
=6 nonsymmetric, w/ singular values
=7 random diagonal
=8 random symmetric
=9 random nonsymmetric
=10 random bidiagonal (log. distrib.) */
if (mtypes > 16) {
goto L100;
}
itype = ktype[jtype - 1];
imode = kmode[jtype - 1];
/* Compute norm */
switch (kmagn[jtype - 1]) {
case 1: goto L40;
case 2: goto L50;
case 3: goto L60;
}
L40:
anorm = 1.f;
goto L70;
L50:
anorm = rtovfl * ulp * amninv;
goto L70;
L60:
anorm = rtunfl * max(m,n) * ulpinv;
goto L70;
L70:
claset_("Full", lda, &n, &c_b1, &c_b1, &a[a_offset], lda);
iinfo = 0;
cond = ulpinv;
bidiag = FALSE_;
if (itype == 1) {
/* Zero matrix */
iinfo = 0;
} else if (itype == 2) {
/* Identity */
i__3 = mnmin;
for (jcol = 1; jcol <= i__3; ++jcol) {
i__4 = a_subscr(jcol, jcol);
a[i__4].r = anorm, a[i__4].i = 0.f;
/* L80: */
}
} else if (itype == 4) {
/* Diagonal Matrix, [Eigen]values Specified */
clatms_(&mnmin, &mnmin, "S", &iseed[1], "N", &rwork[1], &
imode, &cond, &anorm, &c__0, &c__0, "N", &a[a_offset],
lda, &work[1], &iinfo);
} else if (itype == 5) {
/* Symmetric, eigenvalues specified */
clatms_(&mnmin, &mnmin, "S", &iseed[1], "S", &rwork[1], &
imode, &cond, &anorm, &m, &n, "N", &a[a_offset], lda,
&work[1], &iinfo);
} else if (itype == 6) {
/* Nonsymmetric, singular values specified */
clatms_(&m, &n, "S", &iseed[1], "N", &rwork[1], &imode, &cond,
&anorm, &m, &n, "N", &a[a_offset], lda, &work[1], &
iinfo);
} else if (itype == 7) {
/* Diagonal, random entries */
clatmr_(&mnmin, &mnmin, "S", &iseed[1], "N", &work[1], &c__6,
&c_b37, &c_b2, "T", "N", &work[mnmin + 1], &c__1, &
c_b37, &work[(mnmin << 1) + 1], &c__1, &c_b37, "N",
iwork, &c__0, &c__0, &c_b47, &anorm, "NO", &a[
a_offset], lda, iwork, &iinfo);
} else if (itype == 8) {
/* Symmetric, random entries */
clatmr_(&mnmin, &mnmin, "S", &iseed[1], "S", &work[1], &c__6,
&c_b37, &c_b2, "T", "N", &work[mnmin + 1], &c__1, &
c_b37, &work[m + mnmin + 1], &c__1, &c_b37, "N",
iwork, &m, &n, &c_b47, &anorm, "NO", &a[a_offset],
lda, iwork, &iinfo);
} else if (itype == 9) {
/* Nonsymmetric, random entries */
clatmr_(&m, &n, "S", &iseed[1], "N", &work[1], &c__6, &c_b37,
&c_b2, "T", "N", &work[mnmin + 1], &c__1, &c_b37, &
work[m + mnmin + 1], &c__1, &c_b37, "N", iwork, &m, &
n, &c_b47, &anorm, "NO", &a[a_offset], lda, iwork, &
iinfo);
} else if (itype == 10) {
/* Bidiagonal, random entries */
temp1 = log(ulp) * -2.f;
i__3 = mnmin;
for (j = 1; j <= i__3; ++j) {
bd[j] = exp(temp1 * slarnd_(&c__2, &iseed[1]));
if (j < mnmin) {
be[j] = exp(temp1 * slarnd_(&c__2, &iseed[1]));
}
/* L90: */
}
iinfo = 0;
bidiag = TRUE_;
if (m >= n) {
*(unsigned char *)uplo = 'U';
} else {
*(unsigned char *)uplo = 'L';
}
} else {
iinfo = 1;
}
if (iinfo == 0) {
/* Generate Right-Hand Side */
if (bidiag) {
clatmr_(&mnmin, nrhs, "S", &iseed[1], "N", &work[1], &
c__6, &c_b37, &c_b2, "T", "N", &work[mnmin + 1], &
c__1, &c_b37, &work[(mnmin << 1) + 1], &c__1, &
c_b37, "N", iwork, &mnmin, nrhs, &c_b47, &c_b37,
"NO", &y[y_offset], ldx, iwork, &iinfo);
} else {
clatmr_(&m, nrhs, "S", &iseed[1], "N", &work[1], &c__6, &
c_b37, &c_b2, "T", "N", &work[m + 1], &c__1, &
c_b37, &work[(m << 1) + 1], &c__1, &c_b37, "N",
iwork, &m, nrhs, &c_b47, &c_b37, "NO", &x[
x_offset], ldx, iwork, &iinfo);
}
}
/* Error Exit */
if (iinfo != 0) {
io___40.ciunit = *nout;
s_wsfe(&io___40);
do_fio(&c__1, "Generator", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&m, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
return 0;
}
L100:
/* Call CGEBRD and CUNGBR to compute B, Q, and P, do tests. */
if (! bidiag) {
/* Compute transformations to reduce A to bidiagonal form:
B := Q' * A * P. */
clacpy_(" ", &m, &n, &a[a_offset], lda, &q[q_offset], ldq);
i__3 = *lwork - (mnmin << 1);
cgebrd_(&m, &n, &q[q_offset], ldq, &bd[1], &be[1], &work[1], &
work[mnmin + 1], &work[(mnmin << 1) + 1], &i__3, &
iinfo);
/* Check error code from CGEBRD. */
if (iinfo != 0) {
io___41.ciunit = *nout;
s_wsfe(&io___41);
do_fio(&c__1, "CGEBRD", (ftnlen)6);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&m, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
;
e_wsfe();
*info = abs(iinfo);
return 0;
}
clacpy_(" ", &m, &n, &q[q_offset], ldq, &pt[pt_offset], ldpt);
if (m >= n) {
*(unsigned char *)uplo = 'U';
} else {
*(unsigned char *)uplo = 'L';
}
/* Generate Q */
mq = m;
if (*nrhs <= 0) {
mq = mnmin;
}
i__3 = *lwork - (mnmin << 1);
cungbr_("Q", &m, &mq, &n, &q[q_offset], ldq, &work[1], &work[(
mnmin << 1) + 1], &i__3, &iinfo);
/* Check error code from CUNGBR. */
if (iinfo != 0) {
io___43.ciunit = *nout;
s_wsfe(&io___43);
do_fio(&c__1, "CUNGBR(Q)", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&m, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
;
e_wsfe();
*info = abs(iinfo);
return 0;
}
/* Generate P' */
i__3 = *lwork - (mnmin << 1);
cungbr_("P", &mnmin, &n, &m, &pt[pt_offset], ldpt, &work[
mnmin + 1], &work[(mnmin << 1) + 1], &i__3, &iinfo);
/* Check error code from CUNGBR. */
if (iinfo != 0) {
io___44.ciunit = *nout;
s_wsfe(&io___44);
do_fio(&c__1, "CUNGBR(P)", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&m, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
;
e_wsfe();
*info = abs(iinfo);
return 0;
}
/* Apply Q' to an M by NRHS matrix X: Y := Q' * X. */
cgemm_("Conjugate transpose", "No transpose", &m, nrhs, &m, &
c_b2, &q[q_offset], ldq, &x[x_offset], ldx, &c_b1, &y[
y_offset], ldx);
/* Test 1: Check the decomposition A := Q * B * PT
2: Check the orthogonality of Q
3: Check the orthogonality of PT */
cbdt01_(&m, &n, &c__1, &a[a_offset], lda, &q[q_offset], ldq, &
bd[1], &be[1], &pt[pt_offset], ldpt, &work[1], &rwork[
1], result);
cunt01_("Columns", &m, &mq, &q[q_offset], ldq, &work[1],
lwork, &rwork[1], &result[1]);
cunt01_("Rows", &mnmin, &n, &pt[pt_offset], ldpt, &work[1],
lwork, &rwork[1], &result[2]);
}
/* Use CBDSQR to form the SVD of the bidiagonal matrix B:
B := U * S1 * VT, and compute Z = U' * Y. */
scopy_(&mnmin, &bd[1], &c__1, &s1[1], &c__1);
if (mnmin > 0) {
i__3 = mnmin - 1;
scopy_(&i__3, &be[1], &c__1, &rwork[1], &c__1);
}
clacpy_(" ", &m, nrhs, &y[y_offset], ldx, &z__[z_offset], ldx);
claset_("Full", &mnmin, &mnmin, &c_b1, &c_b2, &u[u_offset], ldpt);
claset_("Full", &mnmin, &mnmin, &c_b1, &c_b2, &vt[vt_offset],
ldpt);
cbdsqr_(uplo, &mnmin, &mnmin, &mnmin, nrhs, &s1[1], &rwork[1], &
vt[vt_offset], ldpt, &u[u_offset], ldpt, &z__[z_offset],
ldx, &rwork[mnmin + 1], &iinfo);
/* Check error code from CBDSQR. */
if (iinfo != 0) {
io___45.ciunit = *nout;
s_wsfe(&io___45);
do_fio(&c__1, "CBDSQR(vects)", (ftnlen)13);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&m, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
if (iinfo < 0) {
return 0;
} else {
result[3] = ulpinv;
goto L150;
}
}
/* Use CBDSQR to compute only the singular values of the
bidiagonal matrix B; U, VT, and Z should not be modified. */
scopy_(&mnmin, &bd[1], &c__1, &s2[1], &c__1);
if (mnmin > 0) {
i__3 = mnmin - 1;
scopy_(&i__3, &be[1], &c__1, &rwork[1], &c__1);
}
cbdsqr_(uplo, &mnmin, &c__0, &c__0, &c__0, &s2[1], &rwork[1], &vt[
vt_offset], ldpt, &u[u_offset], ldpt, &z__[z_offset], ldx,
&rwork[mnmin + 1], &iinfo);
/* Check error code from CBDSQR. */
if (iinfo != 0) {
io___46.ciunit = *nout;
s_wsfe(&io___46);
do_fio(&c__1, "CBDSQR(values)", (ftnlen)14);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&m, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
if (iinfo < 0) {
return 0;
} else {
result[8] = ulpinv;
goto L150;
}
}
/* Test 4: Check the decomposition B := U * S1 * VT
5: Check the computation Z := U' * Y
6: Check the orthogonality of U
7: Check the orthogonality of VT */
cbdt03_(uplo, &mnmin, &c__1, &bd[1], &be[1], &u[u_offset], ldpt, &
s1[1], &vt[vt_offset], ldpt, &work[1], &result[3]);
cbdt02_(&mnmin, nrhs, &y[y_offset], ldx, &z__[z_offset], ldx, &u[
u_offset], ldpt, &work[1], &rwork[1], &result[4]);
cunt01_("Columns", &mnmin, &mnmin, &u[u_offset], ldpt, &work[1],
lwork, &rwork[1], &result[5]);
cunt01_("Rows", &mnmin, &mnmin, &vt[vt_offset], ldpt, &work[1],
lwork, &rwork[1], &result[6]);
/* Test 8: Check that the singular values are sorted in
non-increasing order and are non-negative */
result[7] = 0.f;
i__3 = mnmin - 1;
for (i__ = 1; i__ <= i__3; ++i__) {
if (s1[i__] < s1[i__ + 1]) {
result[7] = ulpinv;
}
if (s1[i__] < 0.f) {
result[7] = ulpinv;
}
/* L110: */
}
if (mnmin >= 1) {
if (s1[mnmin] < 0.f) {
result[7] = ulpinv;
}
}
/* Test 9: Compare CBDSQR with and without singular vectors */
temp2 = 0.f;
i__3 = mnmin;
for (j = 1; j <= i__3; ++j) {
/* Computing MAX
Computing MAX */
r__6 = (r__1 = s1[j], dabs(r__1)), r__7 = (r__2 = s2[j], dabs(
r__2));
r__4 = sqrt(unfl) * dmax(s1[1],1.f), r__5 = ulp * dmax(r__6,
r__7);
temp1 = (r__3 = s1[j] - s2[j], dabs(r__3)) / dmax(r__4,r__5);
temp2 = dmax(temp1,temp2);
/* L120: */
}
result[8] = temp2;
/* Test 10: Sturm sequence test of singular values
Go up by factors of two until it succeeds */
temp1 = *thresh * (.5f - ulp);
i__3 = log2ui;
for (j = 0; j <= i__3; ++j) {
ssvdch_(&mnmin, &bd[1], &be[1], &s1[1], &temp1, &iinfo);
if (iinfo == 0) {
goto L140;
}
temp1 *= 2.f;
/* L130: */
}
L140:
result[9] = temp1;
/* Use CBDSQR to form the decomposition A := (QU) S (VT PT)
from the bidiagonal form A := Q B PT. */
if (! bidiag) {
scopy_(&mnmin, &bd[1], &c__1, &s2[1], &c__1);
if (mnmin > 0) {
i__3 = mnmin - 1;
scopy_(&i__3, &be[1], &c__1, &rwork[1], &c__1);
}
cbdsqr_(uplo, &mnmin, &n, &m, nrhs, &s2[1], &rwork[1], &pt[
pt_offset], ldpt, &q[q_offset], ldq, &y[y_offset],
ldx, &rwork[mnmin + 1], &iinfo);
/* Test 11: Check the decomposition A := Q*U * S2 * VT*PT
12: Check the computation Z := U' * Q' * X
13: Check the orthogonality of Q*U
14: Check the orthogonality of VT*PT */
cbdt01_(&m, &n, &c__0, &a[a_offset], lda, &q[q_offset], ldq, &
s2[1], dumma, &pt[pt_offset], ldpt, &work[1], &rwork[
1], &result[10]);
cbdt02_(&m, nrhs, &x[x_offset], ldx, &y[y_offset], ldx, &q[
q_offset], ldq, &work[1], &rwork[1], &result[11]);
cunt01_("Columns", &m, &mq, &q[q_offset], ldq, &work[1],
lwork, &rwork[1], &result[12]);
cunt01_("Rows", &mnmin, &n, &pt[pt_offset], ldpt, &work[1],
lwork, &rwork[1], &result[13]);
}
/* End of Loop -- Check for RESULT(j) > THRESH */
L150:
for (j = 1; j <= 14; ++j) {
if (result[j - 1] >= *thresh) {
if (nfail == 0) {
slahd2_(nout, path);
}
io___50.ciunit = *nout;
s_wsfe(&io___50);
do_fio(&c__1, (char *)&m, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
;
do_fio(&c__1, (char *)&j, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[j - 1], (ftnlen)sizeof(real)
);
e_wsfe();
++nfail;
}
/* L160: */
}
if (! bidiag) {
ntest += 14;
} else {
ntest += 5;
}
L170:
;
}
/* L180: */
}
/* Summary */
alasum_(path, nout, &nfail, &ntest, &c__0);
return 0;
/* End of CCHKBD */
} /* cchkbd_ */
/* Subroutine */ int cdrvvx_(integer *nsizes, integer *nn, integer *ntypes,
logical *dotype, integer *iseed, real *thresh, integer *niunit,
integer *nounit, complex *a, integer *lda, complex *h__, complex *w,
complex *w1, complex *vl, integer *ldvl, complex *vr, integer *ldvr,
complex *lre, integer *ldlre, real *rcondv, real *rcndv1, real *
rcdvin, real *rconde, real *rcnde1, real *rcdein, real *scale, real *
scale1, real *result, complex *work, integer *nwork, real *rwork,
integer *info)
{
/* Initialized data */
static integer ktype[21] = { 1,2,3,4,4,4,4,4,6,6,6,6,6,6,6,6,6,6,9,9,9 };
static integer kmagn[21] = { 1,1,1,1,1,1,2,3,1,1,1,1,1,1,1,1,2,3,1,2,3 };
static integer kmode[21] = { 0,0,0,4,3,1,4,4,4,3,1,5,4,3,1,5,5,5,4,3,1 };
static integer kconds[21] = { 0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,2,2,0,0,0 };
static char bal[1*4] = "N" "P" "S" "B";
/* Format strings */
static char fmt_9992[] = "(\002 CDRVVX: \002,a,\002 returned INFO=\002,i"
"6,\002.\002,/9x,\002N=\002,i6,\002, JTYPE=\002,i6,\002, ISEED="
"(\002,3(i5,\002,\002),i5,\002)\002)";
static char fmt_9999[] = "(/1x,a3,\002 -- Complex Eigenvalue-Eigenvect"
"or \002,\002Decomposition Expert Driver\002,/\002 Matrix types ("
"see CDRVVX for details): \002)";
static char fmt_9998[] = "(/\002 Special Matrices:\002,/\002 1=Zero mat"
"rix. \002,\002 \002,\002 5=Diagonal: geom"
"etr. spaced entries.\002,/\002 2=Identity matrix. "
" \002,\002 6=Diagona\002,\002l: clustered entries.\002,"
"/\002 3=Transposed Jordan block. \002,\002 \002,\002 "
" 7=Diagonal: large, evenly spaced.\002,/\002 \002,\0024=Diagona"
"l: evenly spaced entries. \002,\002 8=Diagonal: s\002,\002ma"
"ll, evenly spaced.\002)";
static char fmt_9997[] = "(\002 Dense, Non-Symmetric Matrices:\002,/\002"
" 9=Well-cond., ev\002,\002enly spaced eigenvals.\002,\002 14=Il"
"l-cond., geomet. spaced e\002,\002igenals.\002,/\002 10=Well-con"
"d., geom. spaced eigenvals. \002,\002 15=Ill-conditioned, cluste"
"red e.vals.\002,/\002 11=Well-cond\002,\002itioned, clustered e."
"vals. \002,\002 16=Ill-cond., random comp\002,\002lex \002,/\002"
" 12=Well-cond., random complex \002,\002 \002,\002 17=Il"
"l-cond., large rand. complx \002,/\002 13=Ill-condi\002,\002tion"
"ed, evenly spaced. \002,\002 18=Ill-cond., small rand.\002"
",\002 complx \002)";
static char fmt_9996[] = "(\002 19=Matrix with random O(1) entries. "
" \002,\002 21=Matrix \002,\002with small random entries.\002,"
"/\002 20=Matrix with large ran\002,\002dom entries. \002,\002 "
"22=Matrix read from input file\002,/)";
static char fmt_9995[] = "(\002 Tests performed with test threshold ="
"\002,f8.2,//\002 1 = | A VR - VR W | / ( n |A| ulp ) \002,/\002 "
"2 = | transpose(A) VL - VL W | / ( n |A| ulp ) \002,/\002 3 = | "
"|VR(i)| - 1 | / ulp \002,/\002 4 = | |VL(i)| - 1 | / ulp \002,"
"/\002 5 = 0 if W same no matter if VR or VL computed,\002,\002 1"
"/ulp otherwise\002,/\002 6 = 0 if VR same no matter what else co"
"mputed,\002,\002 1/ulp otherwise\002,/\002 7 = 0 if VL same no "
"matter what else computed,\002,\002 1/ulp otherwise\002,/\002 8"
" = 0 if RCONDV same no matter what else computed,\002,\002 1/ul"
"p otherwise\002,/\002 9 = 0 if SCALE, ILO, IHI, ABNRM same no ma"
"tter what else\002,\002 computed, 1/ulp otherwise\002,/\002 10 "
"= | RCONDV - RCONDV(precomputed) | / cond(RCONDV),\002,/\002 11 "
"= | RCONDE - RCONDE(precomputed) | / cond(RCONDE),\002)";
static char fmt_9994[] = "(\002 BALANC='\002,a1,\002',N=\002,i4,\002,I"
"WK=\002,i1,\002, seed=\002,4(i4,\002,\002),\002 type \002,i2,"
"\002, test(\002,i2,\002)=\002,g10.3)";
static char fmt_9993[] = "(\002 N=\002,i5,\002, input example =\002,i3"
",\002, test(\002,i2,\002)=\002,g10.3)";
/* System generated locals */
integer a_dim1, a_offset, h_dim1, h_offset, lre_dim1, lre_offset, vl_dim1,
vl_offset, vr_dim1, vr_offset, i__1, i__2, i__3, i__4;
complex q__1;
/* Local variables */
integer i__, j, n;
real wi, wr;
integer iwk;
real ulp;
integer ibal;
real cond;
integer jcol;
char path[3];
integer nmax;
real unfl, ovfl;
integer isrt;
logical badnn;
extern /* Subroutine */ int cget23_(logical *, integer *, char *, integer
*, real *, integer *, integer *, integer *, complex *, integer *,
complex *, complex *, complex *, complex *, integer *, complex *,
integer *, complex *, integer *, real *, real *, real *, real *,
real *, real *, real *, real *, real *, complex *, integer *,
real *, integer *);
integer nfail, imode, iinfo;
real conds, anorm;
integer jsize, nerrs, itype, jtype, ntest;
real rtulp;
char balanc[1];
extern /* Subroutine */ int slabad_(real *, real *), clatme_(integer *,
char *, integer *, complex *, integer *, real *, complex *, char *
, char *, char *, char *, real *, integer *, real *, integer *,
integer *, real *, complex *, integer *, complex *, integer *);
extern doublereal slamch_(char *);
extern /* Subroutine */ int claset_(char *, integer *, integer *, complex
*, complex *, complex *, integer *);
integer idumma[1];
integer ioldsd[4];
extern /* Subroutine */ int clatmr_(integer *, integer *, char *, integer
*, char *, complex *, integer *, real *, complex *, char *, char *
, complex *, integer *, real *, complex *, integer *, real *,
char *, integer *, integer *, integer *, real *, real *, char *,
complex *, integer *, integer *, integer *), clatms_(integer *, integer *,
char *, integer *, char *, real *, integer *, real *, real *,
integer *, integer *, char *, complex *, integer *, complex *,
integer *);
integer ntestf;
extern /* Subroutine */ int slasum_(char *, integer *, integer *, integer
*);
integer nnwork;
real rtulpi;
integer mtypes, ntestt;
real ulpinv;
/* Fortran I/O blocks */
static cilist io___32 = { 0, 0, 0, fmt_9992, 0 };
static cilist io___39 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___40 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___41 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___42 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___43 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___44 = { 0, 0, 0, fmt_9994, 0 };
static cilist io___45 = { 0, 0, 1, 0, 0 };
static cilist io___48 = { 0, 0, 0, 0, 0 };
static cilist io___49 = { 0, 0, 0, 0, 0 };
static cilist io___52 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___53 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___54 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___55 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___56 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___57 = { 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 .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CDRVVX checks the nonsymmetric eigenvalue problem expert driver */
/* CGEEVX. */
/* CDRVVX uses both test matrices generated randomly depending on */
/* data supplied in the calling sequence, as well as on data */
/* read from an input file and including precomputed condition */
/* numbers to which it compares the ones it computes. */
/* When CDRVVX is called, a number of matrix "sizes" ("n's") and a */
/* number of matrix "types" are specified in the calling sequence. */
/* For each size ("n") and each type of matrix, one matrix will be */
/* generated and used to test the nonsymmetric eigenroutines. For */
/* each matrix, 9 tests will be performed: */
/* (1) | A * VR - VR * W | / ( n |A| ulp ) */
/* Here VR is the matrix of unit right eigenvectors. */
/* W is a diagonal matrix with diagonal entries W(j). */
/* (2) | A**H * VL - VL * W**H | / ( n |A| ulp ) */
/* Here VL is the matrix of unit left eigenvectors, A**H is the */
/* conjugate transpose of A, and W is as above. */
/* (3) | |VR(i)| - 1 | / ulp and largest component real */
/* VR(i) denotes the i-th column of VR. */
/* (4) | |VL(i)| - 1 | / ulp and largest component real */
/* VL(i) denotes the i-th column of VL. */
/* (5) W(full) = W(partial) */
/* W(full) denotes the eigenvalues computed when VR, VL, RCONDV */
/* and RCONDE are also computed, and W(partial) denotes the */
/* eigenvalues computed when only some of VR, VL, RCONDV, and */
/* RCONDE are computed. */
/* (6) VR(full) = VR(partial) */
/* VR(full) denotes the right eigenvectors computed when VL, RCONDV */
/* and RCONDE are computed, and VR(partial) denotes the result */
/* when only some of VL and RCONDV are computed. */
/* (7) VL(full) = VL(partial) */
/* VL(full) denotes the left eigenvectors computed when VR, RCONDV */
/* and RCONDE are computed, and VL(partial) denotes the result */
/* when only some of VR and RCONDV are computed. */
/* (8) 0 if SCALE, ILO, IHI, ABNRM (full) = */
/* SCALE, ILO, IHI, ABNRM (partial) */
/* 1/ulp otherwise */
/* SCALE, ILO, IHI and ABNRM describe how the matrix is balanced. */
/* (full) is when VR, VL, RCONDE and RCONDV are also computed, and */
/* (partial) is when some are not computed. */
/* (9) RCONDV(full) = RCONDV(partial) */
/* RCONDV(full) denotes the reciprocal condition numbers of the */
/* right eigenvectors computed when VR, VL and RCONDE are also */
/* computed. RCONDV(partial) denotes the reciprocal condition */
/* numbers when only some of VR, VL and RCONDE are computed. */
/* The "sizes" are specified by an array NN(1:NSIZES); the value of */
/* each element NN(j) specifies one size. */
/* The "types" are specified by a logical array DOTYPE( 1:NTYPES ); */
/* if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. */
/* Currently, the list of possible types is: */
/* (1) The zero matrix. */
/* (2) The identity matrix. */
/* (3) A (transposed) Jordan block, with 1's on the diagonal. */
/* (4) A diagonal matrix with evenly spaced entries */
/* 1, ..., ULP and random complex angles. */
/* (ULP = (first number larger than 1) - 1 ) */
/* (5) A diagonal matrix with geometrically spaced entries */
/* 1, ..., ULP and random complex angles. */
/* (6) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP */
/* and random complex angles. */
/* (7) Same as (4), but multiplied by a constant near */
/* the overflow threshold */
/* (8) Same as (4), but multiplied by a constant near */
/* the underflow threshold */
/* (9) A matrix of the form U' T U, where U is unitary and */
/* T has evenly spaced entries 1, ..., ULP with random complex */
/* angles on the diagonal and random O(1) entries in the upper */
/* triangle. */
/* (10) A matrix of the form U' T U, where U is unitary and */
/* T has geometrically spaced entries 1, ..., ULP with random */
/* complex angles on the diagonal and random O(1) entries in */
/* the upper triangle. */
/* (11) A matrix of the form U' T U, where U is unitary and */
/* T has "clustered" entries 1, ULP,..., ULP with random */
/* complex angles on the diagonal and random O(1) entries in */
/* the upper triangle. */
/* (12) A matrix of the form U' T U, where U is unitary and */
/* T has complex eigenvalues randomly chosen from */
/* ULP < |z| < 1 and random O(1) entries in the upper */
/* triangle. */
/* (13) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has evenly spaced entries 1, ..., ULP */
/* with random complex angles on the diagonal and random O(1) */
/* entries in the upper triangle. */
/* (14) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has geometrically spaced entries */
/* 1, ..., ULP with random complex angles on the diagonal */
/* and random O(1) entries in the upper triangle. */
/* (15) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has "clustered" entries 1, ULP,..., ULP */
/* with random complex angles on the diagonal and random O(1) */
/* entries in the upper triangle. */
/* (16) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has complex eigenvalues randomly chosen */
/* from ULP < |z| < 1 and random O(1) entries in the upper */
/* triangle. */
/* (17) Same as (16), but multiplied by a constant */
/* near the overflow threshold */
/* (18) Same as (16), but multiplied by a constant */
/* near the underflow threshold */
/* (19) Nonsymmetric matrix with random entries chosen from |z| < 1 */
/* If N is at least 4, all entries in first two rows and last */
/* row, and first column and last two columns are zero. */
/* (20) Same as (19), but multiplied by a constant */
/* near the overflow threshold */
/* (21) Same as (19), but multiplied by a constant */
/* near the underflow threshold */
/* In addition, an input file will be read from logical unit number */
/* NIUNIT. The file contains matrices along with precomputed */
/* eigenvalues and reciprocal condition numbers for the eigenvalues */
/* and right eigenvectors. For these matrices, in addition to tests */
/* (1) to (9) we will compute the following two tests: */
/* (10) |RCONDV - RCDVIN| / cond(RCONDV) */
/* RCONDV is the reciprocal right eigenvector condition number */
/* computed by CGEEVX and RCDVIN (the precomputed true value) */
/* is supplied as input. cond(RCONDV) is the condition number of */
/* RCONDV, and takes errors in computing RCONDV into account, so */
/* that the resulting quantity should be O(ULP). cond(RCONDV) is */
/* essentially given by norm(A)/RCONDE. */
/* (11) |RCONDE - RCDEIN| / cond(RCONDE) */
/* RCONDE is the reciprocal eigenvalue condition number */
/* computed by CGEEVX and RCDEIN (the precomputed true value) */
/* is supplied as input. cond(RCONDE) is the condition number */
/* of RCONDE, and takes errors in computing RCONDE into account, */
/* so that the resulting quantity should be O(ULP). cond(RCONDE) */
/* is essentially given by norm(A)/RCONDV. */
/* Arguments */
/* ========== */
/* NSIZES (input) INTEGER */
/* The number of sizes of matrices to use. NSIZES must be at */
/* least zero. If it is zero, no randomly generated matrices */
/* are tested, but any test matrices read from NIUNIT will be */
/* tested. */
/* NN (input) INTEGER array, dimension (NSIZES) */
/* An array containing the sizes to be used for the matrices. */
/* Zero values will be skipped. The values must be at least */
/* zero. */
/* NTYPES (input) INTEGER */
/* The number of elements in DOTYPE. NTYPES must be at least */
/* zero. If it is zero, no randomly generated test matrices */
/* are tested, but and test matrices read from NIUNIT will be */
/* tested. If it is MAXTYP+1 and NSIZES is 1, then an */
/* additional type, MAXTYP+1 is defined, which is to use */
/* whatever matrix is in A. This is only useful if */
/* DOTYPE(1:MAXTYP) is .FALSE. and DOTYPE(MAXTYP+1) is .TRUE. . */
/* DOTYPE (input) LOGICAL array, dimension (NTYPES) */
/* If DOTYPE(j) is .TRUE., then for each size in NN a */
/* matrix of that size and of type j will be generated. */
/* If NTYPES is smaller than the maximum number of types */
/* defined (PARAMETER MAXTYP), then types NTYPES+1 through */
/* MAXTYP will not be generated. If NTYPES is larger */
/* than MAXTYP, DOTYPE(MAXTYP+1) through DOTYPE(NTYPES) */
/* will be ignored. */
/* ISEED (input/output) INTEGER array, dimension (4) */
/* On entry ISEED specifies the seed of the random number */
/* generator. The array elements should be between 0 and 4095; */
/* if not they will be reduced mod 4096. Also, ISEED(4) must */
/* be odd. The random number generator uses a linear */
/* congruential sequence limited to small integers, and so */
/* should produce machine independent random numbers. The */
/* values of ISEED are changed on exit, and can be used in the */
/* next call to CDRVVX to continue the same random number */
/* sequence. */
/* THRESH (input) REAL */
/* A test will count as "failed" if the "error", computed as */
/* described above, exceeds THRESH. Note that the error */
/* is scaled to be O(1), so THRESH should be a reasonably */
/* small multiple of 1, e.g., 10 or 100. In particular, */
/* it should not depend on the precision (single vs. double) */
/* or the size of the matrix. It must be at least zero. */
/* NIUNIT (input) INTEGER */
/* The FORTRAN unit number for reading in the data file of */
/* problems to solve. */
/* NOUNIT (input) INTEGER */
/* The FORTRAN unit number for printing out error messages */
/* (e.g., if a routine returns INFO not equal to 0.) */
/* A (workspace) COMPLEX array, dimension (LDA, max(NN,12)) */
/* Used to hold the matrix whose eigenvalues are to be */
/* computed. On exit, A contains the last matrix actually used. */
/* LDA (input) INTEGER */
/* The leading dimension of A, and H. LDA must be at */
/* least 1 and at least max( NN, 12 ). (12 is the */
/* dimension of the largest matrix on the precomputed */
/* input file.) */
/* H (workspace) COMPLEX array, dimension (LDA, max(NN,12)) */
/* Another copy of the test matrix A, modified by CGEEVX. */
/* W (workspace) COMPLEX array, dimension (max(NN,12)) */
/* Contains the eigenvalues of A. */
/* W1 (workspace) COMPLEX array, dimension (max(NN,12)) */
/* Like W, this array contains the eigenvalues of A, */
/* but those computed when CGEEVX only computes a partial */
/* eigendecomposition, i.e. not the eigenvalues and left */
/* and right eigenvectors. */
/* VL (workspace) COMPLEX array, dimension (LDVL, max(NN,12)) */
/* VL holds the computed left eigenvectors. */
/* LDVL (input) INTEGER */
/* Leading dimension of VL. Must be at least max(1,max(NN,12)). */
/* VR (workspace) COMPLEX array, dimension (LDVR, max(NN,12)) */
/* VR holds the computed right eigenvectors. */
/* LDVR (input) INTEGER */
/* Leading dimension of VR. Must be at least max(1,max(NN,12)). */
/* LRE (workspace) COMPLEX array, dimension (LDLRE, max(NN,12)) */
/* LRE holds the computed right or left eigenvectors. */
/* LDLRE (input) INTEGER */
/* Leading dimension of LRE. Must be at least max(1,max(NN,12)) */
/* RESULT (output) REAL array, dimension (11) */
/* The values computed by the seven tests described above. */
/* The values are currently limited to 1/ulp, to avoid */
/* overflow. */
/* WORK (workspace) COMPLEX array, dimension (NWORK) */
/* NWORK (input) INTEGER */
/* The number of entries in WORK. This must be at least */
/* max(6*12+2*12**2,6*NN(j)+2*NN(j)**2) = */
/* max( 360 ,6*NN(j)+2*NN(j)**2) for all j. */
/* RWORK (workspace) REAL array, dimension (2*max(NN,12)) */
/* INFO (output) INTEGER */
/* If 0, then successful exit. */
/* If <0, then input paramter -INFO is incorrect. */
/* If >0, CLATMR, CLATMS, CLATME or CGET23 returned an error */
/* code, and INFO is its absolute value. */
/* ----------------------------------------------------------------------- */
/* Some Local Variables and Parameters: */
/* ---- ----- --------- --- ---------- */
/* ZERO, ONE Real 0 and 1. */
/* MAXTYP The number of types defined. */
/* NMAX Largest value in NN or 12. */
/* NERRS The number of tests which have exceeded THRESH */
/* COND, CONDS, */
/* IMODE Values to be passed to the matrix generators. */
/* ANORM Norm of A; passed to matrix generators. */
/* OVFL, UNFL Overflow and underflow thresholds. */
/* ULP, ULPINV Finest relative precision and its inverse. */
/* RTULP, RTULPI Square roots of the previous 4 values. */
/* The following four arrays decode JTYPE: */
/* KTYPE(j) The general type (1-10) for type "j". */
/* KMODE(j) The MODE value to be passed to the matrix */
/* generator for type "j". */
/* KMAGN(j) The order of magnitude ( O(1), */
/* O(overflow^(1/2) ), O(underflow^(1/2) ) */
/* KCONDS(j) Selectw whether CONDS is to be 1 or */
/* 1/sqrt(ulp). (0 means irrelevant.) */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Data statements .. */
/* Parameter adjustments */
--nn;
--dotype;
--iseed;
h_dim1 = *lda;
h_offset = 1 + h_dim1;
h__ -= h_offset;
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--w;
--w1;
vl_dim1 = *ldvl;
vl_offset = 1 + vl_dim1;
vl -= vl_offset;
vr_dim1 = *ldvr;
vr_offset = 1 + vr_dim1;
vr -= vr_offset;
lre_dim1 = *ldlre;
lre_offset = 1 + lre_dim1;
lre -= lre_offset;
--rcondv;
--rcndv1;
--rcdvin;
--rconde;
--rcnde1;
--rcdein;
--scale;
--scale1;
--result;
--work;
--rwork;
/* Function Body */
/* .. */
/* .. Executable Statements .. */
s_copy(path, "Complex precision", (ftnlen)1, (ftnlen)17);
s_copy(path + 1, "VX", (ftnlen)2, (ftnlen)2);
/* Check for errors */
ntestt = 0;
ntestf = 0;
*info = 0;
/* Important constants */
badnn = FALSE_;
/* 7 is the largest dimension in the input file of precomputed */
/* problems */
nmax = 7;
i__1 = *nsizes;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = nmax, i__3 = nn[j];
nmax = max(i__2,i__3);
if (nn[j] < 0) {
badnn = TRUE_;
}
/* L10: */
}
/* Check for errors */
if (*nsizes < 0) {
*info = -1;
} else if (badnn) {
*info = -2;
} else if (*ntypes < 0) {
*info = -3;
} else if (*thresh < 0.f) {
*info = -6;
} else if (*lda < 1 || *lda < nmax) {
*info = -10;
} else if (*ldvl < 1 || *ldvl < nmax) {
*info = -15;
} else if (*ldvr < 1 || *ldvr < nmax) {
*info = -17;
} else if (*ldlre < 1 || *ldlre < nmax) {
*info = -19;
} else /* if(complicated condition) */ {
/* Computing 2nd power */
i__1 = nmax;
if (nmax * 6 + (i__1 * i__1 << 1) > *nwork) {
*info = -30;
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CDRVVX", &i__1);
return 0;
}
/* If nothing to do check on NIUNIT */
if (*nsizes == 0 || *ntypes == 0) {
goto L160;
}
/* More Important constants */
unfl = slamch_("Safe minimum");
ovfl = 1.f / unfl;
slabad_(&unfl, &ovfl);
ulp = slamch_("Precision");
ulpinv = 1.f / ulp;
rtulp = sqrt(ulp);
rtulpi = 1.f / rtulp;
/* Loop over sizes, types */
nerrs = 0;
i__1 = *nsizes;
for (jsize = 1; jsize <= i__1; ++jsize) {
n = nn[jsize];
if (*nsizes != 1) {
mtypes = min(21,*ntypes);
} else {
mtypes = min(22,*ntypes);
}
i__2 = mtypes;
for (jtype = 1; jtype <= i__2; ++jtype) {
if (! dotype[jtype]) {
goto L140;
}
/* Save ISEED in case of an error. */
for (j = 1; j <= 4; ++j) {
ioldsd[j - 1] = iseed[j];
/* L20: */
}
/* Compute "A" */
/* Control parameters: */
/* KMAGN KCONDS KMODE KTYPE */
/* =1 O(1) 1 clustered 1 zero */
/* =2 large large clustered 2 identity */
/* =3 small exponential Jordan */
/* =4 arithmetic diagonal, (w/ eigenvalues) */
/* =5 random log symmetric, w/ eigenvalues */
/* =6 random general, w/ eigenvalues */
/* =7 random diagonal */
/* =8 random symmetric */
/* =9 random general */
/* =10 random triangular */
if (mtypes > 21) {
goto L90;
}
itype = ktype[jtype - 1];
imode = kmode[jtype - 1];
/* Compute norm */
switch (kmagn[jtype - 1]) {
case 1: goto L30;
case 2: goto L40;
case 3: goto L50;
}
L30:
anorm = 1.f;
goto L60;
L40:
anorm = ovfl * ulp;
goto L60;
L50:
anorm = unfl * ulpinv;
goto L60;
L60:
claset_("Full", lda, &n, &c_b1, &c_b1, &a[a_offset], lda);
iinfo = 0;
cond = ulpinv;
/* Special Matrices -- Identity & Jordan block */
/* Zero */
if (itype == 1) {
iinfo = 0;
} else if (itype == 2) {
/* Identity */
i__3 = n;
for (jcol = 1; jcol <= i__3; ++jcol) {
i__4 = jcol + jcol * a_dim1;
a[i__4].r = anorm, a[i__4].i = 0.f;
/* L70: */
}
} else if (itype == 3) {
/* Jordan Block */
i__3 = n;
for (jcol = 1; jcol <= i__3; ++jcol) {
i__4 = jcol + jcol * a_dim1;
a[i__4].r = anorm, a[i__4].i = 0.f;
if (jcol > 1) {
i__4 = jcol + (jcol - 1) * a_dim1;
a[i__4].r = 1.f, a[i__4].i = 0.f;
}
/* L80: */
}
} else if (itype == 4) {
/* Diagonal Matrix, [Eigen]values Specified */
clatms_(&n, &n, "S", &iseed[1], "H", &rwork[1], &imode, &cond,
&anorm, &c__0, &c__0, "N", &a[a_offset], lda, &work[
n + 1], &iinfo);
} else if (itype == 5) {
/* Symmetric, eigenvalues specified */
clatms_(&n, &n, "S", &iseed[1], "H", &rwork[1], &imode, &cond,
&anorm, &n, &n, "N", &a[a_offset], lda, &work[n + 1],
&iinfo);
} else if (itype == 6) {
/* General, eigenvalues specified */
if (kconds[jtype - 1] == 1) {
conds = 1.f;
} else if (kconds[jtype - 1] == 2) {
conds = rtulpi;
} else {
conds = 0.f;
}
clatme_(&n, "D", &iseed[1], &work[1], &imode, &cond, &c_b2,
" ", "T", "T", "T", &rwork[1], &c__4, &conds, &n, &n,
&anorm, &a[a_offset], lda, &work[(n << 1) + 1], &
iinfo);
} else if (itype == 7) {
/* Diagonal, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "S", &work[1], &c__6, &c_b39,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b39, &work[(
n << 1) + 1], &c__1, &c_b39, "N", idumma, &c__0, &
c__0, &c_b49, &anorm, "NO", &a[a_offset], lda, idumma,
&iinfo);
} else if (itype == 8) {
/* Symmetric, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "H", &work[1], &c__6, &c_b39,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b39, &work[(
n << 1) + 1], &c__1, &c_b39, "N", idumma, &n, &n, &
c_b49, &anorm, "NO", &a[a_offset], lda, idumma, &
iinfo);
} else if (itype == 9) {
/* General, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "N", &work[1], &c__6, &c_b39,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b39, &work[(
n << 1) + 1], &c__1, &c_b39, "N", idumma, &n, &n, &
c_b49, &anorm, "NO", &a[a_offset], lda, idumma, &
iinfo);
if (n >= 4) {
claset_("Full", &c__2, &n, &c_b1, &c_b1, &a[a_offset],
lda);
i__3 = n - 3;
claset_("Full", &i__3, &c__1, &c_b1, &c_b1, &a[a_dim1 + 3]
, lda);
i__3 = n - 3;
claset_("Full", &i__3, &c__2, &c_b1, &c_b1, &a[(n - 1) *
a_dim1 + 3], lda);
claset_("Full", &c__1, &n, &c_b1, &c_b1, &a[n + a_dim1],
lda);
}
} else if (itype == 10) {
/* Triangular, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "N", &work[1], &c__6, &c_b39,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b39, &work[(
n << 1) + 1], &c__1, &c_b39, "N", idumma, &n, &c__0, &
c_b49, &anorm, "NO", &a[a_offset], lda, idumma, &
iinfo);
} else {
iinfo = 1;
}
if (iinfo != 0) {
io___32.ciunit = *nounit;
s_wsfe(&io___32);
do_fio(&c__1, "Generator", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
return 0;
}
L90:
/* Test for minimal and generous workspace */
for (iwk = 1; iwk <= 3; ++iwk) {
if (iwk == 1) {
nnwork = n << 1;
} else if (iwk == 2) {
/* Computing 2nd power */
i__3 = n;
nnwork = (n << 1) + i__3 * i__3;
} else {
/* Computing 2nd power */
i__3 = n;
nnwork = n * 6 + (i__3 * i__3 << 1);
}
nnwork = max(nnwork,1);
/* Test for all balancing options */
for (ibal = 1; ibal <= 4; ++ibal) {
*(unsigned char *)balanc = *(unsigned char *)&bal[ibal -
1];
/* Perform tests */
cget23_(&c_false, &c__0, balanc, &jtype, thresh, ioldsd,
nounit, &n, &a[a_offset], lda, &h__[h_offset], &w[
1], &w1[1], &vl[vl_offset], ldvl, &vr[vr_offset],
ldvr, &lre[lre_offset], ldlre, &rcondv[1], &
rcndv1[1], &rcdvin[1], &rconde[1], &rcnde1[1], &
rcdein[1], &scale[1], &scale1[1], &result[1], &
work[1], &nnwork, &rwork[1], info);
/* Check for RESULT(j) > THRESH */
ntest = 0;
nfail = 0;
for (j = 1; j <= 9; ++j) {
if (result[j] >= 0.f) {
++ntest;
}
if (result[j] >= *thresh) {
++nfail;
}
/* L100: */
}
if (nfail > 0) {
++ntestf;
}
if (ntestf == 1) {
io___39.ciunit = *nounit;
s_wsfe(&io___39);
do_fio(&c__1, path, (ftnlen)3);
e_wsfe();
io___40.ciunit = *nounit;
s_wsfe(&io___40);
e_wsfe();
io___41.ciunit = *nounit;
s_wsfe(&io___41);
e_wsfe();
io___42.ciunit = *nounit;
s_wsfe(&io___42);
e_wsfe();
io___43.ciunit = *nounit;
s_wsfe(&io___43);
do_fio(&c__1, (char *)&(*thresh), (ftnlen)sizeof(real)
);
e_wsfe();
ntestf = 2;
}
for (j = 1; j <= 9; ++j) {
if (result[j] >= *thresh) {
io___44.ciunit = *nounit;
s_wsfe(&io___44);
do_fio(&c__1, balanc, (ftnlen)1);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer))
;
do_fio(&c__1, (char *)&iwk, (ftnlen)sizeof(
integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&j, (ftnlen)sizeof(integer))
;
do_fio(&c__1, (char *)&result[j], (ftnlen)sizeof(
real));
e_wsfe();
}
/* L110: */
}
nerrs += nfail;
ntestt += ntest;
/* L120: */
}
/* L130: */
}
L140:
;
}
/* L150: */
}
L160:
/* Read in data from file to check accuracy of condition estimation. */
/* Assume input eigenvalues are sorted lexicographically (increasing */
/* by real part, then decreasing by imaginary part) */
jtype = 0;
L170:
io___45.ciunit = *niunit;
i__1 = s_rsle(&io___45);
if (i__1 != 0) {
goto L220;
}
i__1 = do_lio(&c__3, &c__1, (char *)&n, (ftnlen)sizeof(integer));
if (i__1 != 0) {
goto L220;
}
i__1 = do_lio(&c__3, &c__1, (char *)&isrt, (ftnlen)sizeof(integer));
if (i__1 != 0) {
goto L220;
}
i__1 = e_rsle();
if (i__1 != 0) {
goto L220;
}
/* Read input data until N=0 */
if (n == 0) {
goto L220;
}
++jtype;
iseed[1] = jtype;
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
io___48.ciunit = *niunit;
s_rsle(&io___48);
i__2 = n;
for (j = 1; j <= i__2; ++j) {
do_lio(&c__6, &c__1, (char *)&a[i__ + j * a_dim1], (ftnlen)sizeof(
complex));
}
e_rsle();
/* L180: */
}
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
io___49.ciunit = *niunit;
s_rsle(&io___49);
do_lio(&c__4, &c__1, (char *)&wr, (ftnlen)sizeof(real));
do_lio(&c__4, &c__1, (char *)&wi, (ftnlen)sizeof(real));
do_lio(&c__4, &c__1, (char *)&rcdein[i__], (ftnlen)sizeof(real));
do_lio(&c__4, &c__1, (char *)&rcdvin[i__], (ftnlen)sizeof(real));
e_rsle();
i__2 = i__;
q__1.r = wr, q__1.i = wi;
w1[i__2].r = q__1.r, w1[i__2].i = q__1.i;
/* L190: */
}
/* Computing 2nd power */
i__2 = n;
i__1 = n * 6 + (i__2 * i__2 << 1);
cget23_(&c_true, &isrt, "N", &c__22, thresh, &iseed[1], nounit, &n, &a[
a_offset], lda, &h__[h_offset], &w[1], &w1[1], &vl[vl_offset],
ldvl, &vr[vr_offset], ldvr, &lre[lre_offset], ldlre, &rcondv[1], &
rcndv1[1], &rcdvin[1], &rconde[1], &rcnde1[1], &rcdein[1], &scale[
1], &scale1[1], &result[1], &work[1], &i__1, &rwork[1], info);
/* Check for RESULT(j) > THRESH */
ntest = 0;
nfail = 0;
for (j = 1; j <= 11; ++j) {
if (result[j] >= 0.f) {
++ntest;
}
if (result[j] >= *thresh) {
++nfail;
}
/* L200: */
}
if (nfail > 0) {
++ntestf;
}
if (ntestf == 1) {
io___52.ciunit = *nounit;
s_wsfe(&io___52);
do_fio(&c__1, path, (ftnlen)3);
e_wsfe();
io___53.ciunit = *nounit;
s_wsfe(&io___53);
e_wsfe();
io___54.ciunit = *nounit;
s_wsfe(&io___54);
e_wsfe();
io___55.ciunit = *nounit;
s_wsfe(&io___55);
e_wsfe();
io___56.ciunit = *nounit;
s_wsfe(&io___56);
do_fio(&c__1, (char *)&(*thresh), (ftnlen)sizeof(real));
e_wsfe();
ntestf = 2;
}
for (j = 1; j <= 11; ++j) {
if (result[j] >= *thresh) {
io___57.ciunit = *nounit;
s_wsfe(&io___57);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&j, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[j], (ftnlen)sizeof(real));
e_wsfe();
}
/* L210: */
}
nerrs += nfail;
ntestt += ntest;
goto L170;
L220:
/* Summary */
slasum_(path, nounit, &nerrs, &ntestt);
return 0;
/* End of CDRVVX */
} /* cdrvvx_ */
/* Subroutine */ int cdrvsx_(integer *nsizes, integer *nn, integer *ntypes,
logical *dotype, integer *iseed, real *thresh, integer *niunit,
integer *nounit, complex *a, integer *lda, complex *h__, complex *ht,
complex *w, complex *wt, complex *wtmp, complex *vs, integer *ldvs,
complex *vs1, real *result, complex *work, integer *lwork, real *
rwork, logical *bwork, integer *info)
{
/* Initialized data */
static integer ktype[21] = { 1,2,3,4,4,4,4,4,6,6,6,6,6,6,6,6,6,6,9,9,9 };
static integer kmagn[21] = { 1,1,1,1,1,1,2,3,1,1,1,1,1,1,1,1,2,3,1,2,3 };
static integer kmode[21] = { 0,0,0,4,3,1,4,4,4,3,1,5,4,3,1,5,5,5,4,3,1 };
static integer kconds[21] = { 0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,2,2,0,0,0 };
/* Format strings */
static char fmt_9991[] = "(\002 CDRVSX: \002,a,\002 returned INFO=\002,i"
"6,\002.\002,/9x,\002N=\002,i6,\002, JTYPE=\002,i6,\002, ISEED="
"(\002,3(i5,\002,\002),i5,\002)\002)";
static char fmt_9999[] = "(/1x,a3,\002 -- Complex Schur Form Decompositi"
"on Expert \002,\002Driver\002,/\002 Matrix types (see CDRVSX for"
" details): \002)";
static char fmt_9998[] = "(/\002 Special Matrices:\002,/\002 1=Zero mat"
"rix. \002,\002 \002,\002 5=Diagonal: geom"
"etr. spaced entries.\002,/\002 2=Identity matrix. "
" \002,\002 6=Diagona\002,\002l: clustered entries.\002,"
"/\002 3=Transposed Jordan block. \002,\002 \002,\002 "
" 7=Diagonal: large, evenly spaced.\002,/\002 \002,\0024=Diagona"
"l: evenly spaced entries. \002,\002 8=Diagonal: s\002,\002ma"
"ll, evenly spaced.\002)";
static char fmt_9997[] = "(\002 Dense, Non-Symmetric Matrices:\002,/\002"
" 9=Well-cond., ev\002,\002enly spaced eigenvals.\002,\002 14=Il"
"l-cond., geomet. spaced e\002,\002igenals.\002,/\002 10=Well-con"
"d., geom. spaced eigenvals. \002,\002 15=Ill-conditioned, cluste"
"red e.vals.\002,/\002 11=Well-cond\002,\002itioned, clustered e."
"vals. \002,\002 16=Ill-cond., random comp\002,\002lex \002,/\002"
" 12=Well-cond., random complex \002,\002 \002,\002 17=Il"
"l-cond., large rand. complx \002,/\002 13=Ill-condi\002,\002tion"
"ed, evenly spaced. \002,\002 18=Ill-cond., small rand.\002"
",\002 complx \002)";
static char fmt_9996[] = "(\002 19=Matrix with random O(1) entries. "
" \002,\002 21=Matrix \002,\002with small random entries.\002,"
"/\002 20=Matrix with large ran\002,\002dom entries. \002,/)";
static char fmt_9995[] = "(\002 Tests performed with test threshold ="
"\002,f8.2,/\002 ( A denotes A on input and T denotes A on output)"
"\002,//\002 1 = 0 if T in Schur form (no sort), \002,\002 1/ulp"
" otherwise\002,/\002 2 = | A - VS T transpose(VS) | / ( n |A| ul"
"p ) (no sort)\002,/\002 3 = | I - VS transpose(VS) | / ( n ulp )"
" (no sort) \002,/\002 4 = 0 if W are eigenvalues of T (no sort)"
",\002,\002 1/ulp otherwise\002,/\002 5 = 0 if T same no matter "
"if VS computed (no sort),\002,\002 1/ulp otherwise\002,/\002 6 "
"= 0 if W same no matter if VS computed (no sort)\002,\002, 1/ul"
"p otherwise\002)";
static char fmt_9994[] = "(\002 7 = 0 if T in Schur form (sort), \002"
",\002 1/ulp otherwise\002,/\002 8 = | A - VS T transpose(VS) | "
"/ ( n |A| ulp ) (sort)\002,/\002 9 = | I - VS transpose(VS) | / "
"( n ulp ) (sort) \002,/\002 10 = 0 if W are eigenvalues of T (so"
"rt),\002,\002 1/ulp otherwise\002,/\002 11 = 0 if T same no mat"
"ter what else computed (sort),\002,\002 1/ulp otherwise\002,"
"/\002 12 = 0 if W same no matter what else computed \002,\002(so"
"rt), 1/ulp otherwise\002,/\002 13 = 0 if sorting succesful, 1/ul"
"p otherwise\002,/\002 14 = 0 if RCONDE same no matter what else "
"computed,\002,\002 1/ulp otherwise\002,/\002 15 = 0 if RCONDv sa"
"me no matter what else computed,\002,\002 1/ulp otherwise\002,"
"/\002 16 = | RCONDE - RCONDE(precomputed) | / cond(RCONDE),\002,/"
"\002 17 = | RCONDV - RCONDV(precomputed) | / cond(RCONDV),\002)";
static char fmt_9993[] = "(\002 N=\002,i5,\002, IWK=\002,i2,\002, seed"
"=\002,4(i4,\002,\002),\002 type \002,i2,\002, test(\002,i2,\002)="
"\002,g10.3)";
static char fmt_9992[] = "(\002 N=\002,i5,\002, input example =\002,i3"
",\002, test(\002,i2,\002)=\002,g10.3)";
/* System generated locals */
integer a_dim1, a_offset, h_dim1, h_offset, ht_dim1, ht_offset, vs_dim1,
vs_offset, vs1_dim1, vs1_offset, i__1, i__2, i__3, i__4;
/* Builtin functions */
/* Subroutine */ int s_copy(char *, char *, ftnlen, ftnlen);
double sqrt(doublereal);
integer s_wsfe(cilist *), do_fio(integer *, char *, ftnlen), e_wsfe(void),
s_rsle(cilist *), do_lio(integer *, integer *, char *, ftnlen),
e_rsle(void);
/* Local variables */
integer i__, j, n, iwk;
real ulp, cond;
integer jcol;
char path[3];
integer nmax;
real unfl, ovfl;
integer isrt;
logical badnn;
extern /* Subroutine */ int cget24_(logical *, integer *, real *, integer
*, integer *, integer *, complex *, integer *, complex *, complex
*, complex *, complex *, complex *, complex *, integer *, complex
*, real *, real *, integer *, integer *, integer *, real *,
complex *, integer *, real *, logical *, integer *);
integer nfail, imode, iinfo;
real conds, anorm;
integer islct[20], nslct, jsize, nerrs, itype, jtype, ntest;
real rtulp;
extern /* Subroutine */ int slabad_(real *, real *);
real rcdein;
extern /* Subroutine */ int clatme_(integer *, char *, integer *, complex
*, integer *, real *, complex *, char *, char *, char *, char *,
real *, integer *, real *, integer *, integer *, real *, complex *
, integer *, complex *, integer *);
extern doublereal slamch_(char *);
extern /* Subroutine */ int claset_(char *, integer *, integer *, complex
*, complex *, complex *, integer *);
integer idumma[1], ioldsd[4];
extern /* Subroutine */ int xerbla_(char *, integer *), clatmr_(
integer *, integer *, char *, integer *, char *, complex *,
integer *, real *, complex *, char *, char *, complex *, integer *
, real *, complex *, integer *, real *, char *, integer *,
integer *, integer *, real *, real *, char *, complex *, integer *
, integer *, integer *), clatms_(integer *, integer *, char *, integer *, char *,
real *, integer *, real *, real *, integer *, integer *, char *,
complex *, integer *, complex *, integer *);
real rcdvin;
integer ntestf;
extern /* Subroutine */ int slasum_(char *, integer *, integer *, integer
*);
real ulpinv;
integer nnwork;
real rtulpi;
integer mtypes, ntestt;
/* Fortran I/O blocks */
static cilist io___31 = { 0, 0, 0, fmt_9991, 0 };
static cilist io___40 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___41 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___42 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___43 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___44 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___45 = { 0, 0, 0, fmt_9994, 0 };
static cilist io___46 = { 0, 0, 0, fmt_9993, 0 };
static cilist io___47 = { 0, 0, 1, 0, 0 };
static cilist io___49 = { 0, 0, 0, 0, 0 };
static cilist io___51 = { 0, 0, 0, 0, 0 };
static cilist io___52 = { 0, 0, 0, 0, 0 };
static cilist io___53 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___54 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___55 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___56 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___57 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___58 = { 0, 0, 0, fmt_9994, 0 };
static cilist io___59 = { 0, 0, 0, fmt_9992, 0 };
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CDRVSX checks the nonsymmetric eigenvalue (Schur form) problem */
/* expert driver CGEESX. */
/* CDRVSX uses both test matrices generated randomly depending on */
/* data supplied in the calling sequence, as well as on data */
/* read from an input file and including precomputed condition */
/* numbers to which it compares the ones it computes. */
/* When CDRVSX is called, a number of matrix "sizes" ("n's") and a */
/* number of matrix "types" are specified. For each size ("n") */
/* and each type of matrix, one matrix will be generated and used */
/* to test the nonsymmetric eigenroutines. For each matrix, 15 */
/* tests will be performed: */
/* (1) 0 if T is in Schur form, 1/ulp otherwise */
/* (no sorting of eigenvalues) */
/* (2) | A - VS T VS' | / ( n |A| ulp ) */
/* Here VS is the matrix of Schur eigenvectors, and T is in Schur */
/* form (no sorting of eigenvalues). */
/* (3) | I - VS VS' | / ( n ulp ) (no sorting of eigenvalues). */
/* (4) 0 if W are eigenvalues of T */
/* 1/ulp otherwise */
/* (no sorting of eigenvalues) */
/* (5) 0 if T(with VS) = T(without VS), */
/* 1/ulp otherwise */
/* (no sorting of eigenvalues) */
/* (6) 0 if eigenvalues(with VS) = eigenvalues(without VS), */
/* 1/ulp otherwise */
/* (no sorting of eigenvalues) */
/* (7) 0 if T is in Schur form, 1/ulp otherwise */
/* (with sorting of eigenvalues) */
/* (8) | A - VS T VS' | / ( n |A| ulp ) */
/* Here VS is the matrix of Schur eigenvectors, and T is in Schur */
/* form (with sorting of eigenvalues). */
/* (9) | I - VS VS' | / ( n ulp ) (with sorting of eigenvalues). */
/* (10) 0 if W are eigenvalues of T */
/* 1/ulp otherwise */
/* If workspace sufficient, also compare W with and */
/* without reciprocal condition numbers */
/* (with sorting of eigenvalues) */
/* (11) 0 if T(with VS) = T(without VS), */
/* 1/ulp otherwise */
/* If workspace sufficient, also compare T with and without */
/* reciprocal condition numbers */
/* (with sorting of eigenvalues) */
/* (12) 0 if eigenvalues(with VS) = eigenvalues(without VS), */
/* 1/ulp otherwise */
/* If workspace sufficient, also compare VS with and without */
/* reciprocal condition numbers */
/* (with sorting of eigenvalues) */
/* (13) if sorting worked and SDIM is the number of */
/* eigenvalues which were SELECTed */
/* If workspace sufficient, also compare SDIM with and */
/* without reciprocal condition numbers */
/* (14) if RCONDE the same no matter if VS and/or RCONDV computed */
/* (15) if RCONDV the same no matter if VS and/or RCONDE computed */
/* The "sizes" are specified by an array NN(1:NSIZES); the value of */
/* each element NN(j) specifies one size. */
/* The "types" are specified by a logical array DOTYPE( 1:NTYPES ); */
/* if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. */
/* Currently, the list of possible types is: */
/* (1) The zero matrix. */
/* (2) The identity matrix. */
/* (3) A (transposed) Jordan block, with 1's on the diagonal. */
/* (4) A diagonal matrix with evenly spaced entries */
/* 1, ..., ULP and random complex angles. */
/* (ULP = (first number larger than 1) - 1 ) */
/* (5) A diagonal matrix with geometrically spaced entries */
/* 1, ..., ULP and random complex angles. */
/* (6) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP */
/* and random complex angles. */
/* (7) Same as (4), but multiplied by a constant near */
/* the overflow threshold */
/* (8) Same as (4), but multiplied by a constant near */
/* the underflow threshold */
/* (9) A matrix of the form U' T U, where U is unitary and */
/* T has evenly spaced entries 1, ..., ULP with random */
/* complex angles on the diagonal and random O(1) entries in */
/* the upper triangle. */
/* (10) A matrix of the form U' T U, where U is unitary and */
/* T has geometrically spaced entries 1, ..., ULP with random */
/* complex angles on the diagonal and random O(1) entries in */
/* the upper triangle. */
/* (11) A matrix of the form U' T U, where U is orthogonal and */
/* T has "clustered" entries 1, ULP,..., ULP with random */
/* complex angles on the diagonal and random O(1) entries in */
/* the upper triangle. */
/* (12) A matrix of the form U' T U, where U is unitary and */
/* T has complex eigenvalues randomly chosen from */
/* ULP < |z| < 1 and random O(1) entries in the upper */
/* triangle. */
/* (13) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has evenly spaced entries 1, ..., ULP */
/* with random complex angles on the diagonal and random O(1) */
/* entries in the upper triangle. */
/* (14) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has geometrically spaced entries */
/* 1, ..., ULP with random complex angles on the diagonal */
/* and random O(1) entries in the upper triangle. */
/* (15) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has "clustered" entries 1, ULP,..., ULP */
/* with random complex angles on the diagonal and random O(1) */
/* entries in the upper triangle. */
/* (16) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has complex eigenvalues randomly chosen */
/* from ULP < |z| < 1 and random O(1) entries in the upper */
/* triangle. */
/* (17) Same as (16), but multiplied by a constant */
/* near the overflow threshold */
/* (18) Same as (16), but multiplied by a constant */
/* near the underflow threshold */
/* (19) Nonsymmetric matrix with random entries chosen from (-1,1). */
/* If N is at least 4, all entries in first two rows and last */
/* row, and first column and last two columns are zero. */
/* (20) Same as (19), but multiplied by a constant */
/* near the overflow threshold */
/* (21) Same as (19), but multiplied by a constant */
/* near the underflow threshold */
/* In addition, an input file will be read from logical unit number */
/* NIUNIT. The file contains matrices along with precomputed */
/* eigenvalues and reciprocal condition numbers for the eigenvalue */
/* average and right invariant subspace. For these matrices, in */
/* addition to tests (1) to (15) we will compute the following two */
/* tests: */
/* (16) |RCONDE - RCDEIN| / cond(RCONDE) */
/* RCONDE is the reciprocal average eigenvalue condition number */
/* computed by CGEESX and RCDEIN (the precomputed true value) */
/* is supplied as input. cond(RCONDE) is the condition number */
/* of RCONDE, and takes errors in computing RCONDE into account, */
/* so that the resulting quantity should be O(ULP). cond(RCONDE) */
/* is essentially given by norm(A)/RCONDV. */
/* (17) |RCONDV - RCDVIN| / cond(RCONDV) */
/* RCONDV is the reciprocal right invariant subspace condition */
/* number computed by CGEESX and RCDVIN (the precomputed true */
/* value) is supplied as input. cond(RCONDV) is the condition */
/* number of RCONDV, and takes errors in computing RCONDV into */
/* account, so that the resulting quantity should be O(ULP). */
/* cond(RCONDV) is essentially given by norm(A)/RCONDE. */
/* Arguments */
/* ========= */
/* NSIZES (input) INTEGER */
/* The number of sizes of matrices to use. NSIZES must be at */
/* least zero. If it is zero, no randomly generated matrices */
/* are tested, but any test matrices read from NIUNIT will be */
/* tested. */
/* NN (input) INTEGER array, dimension (NSIZES) */
/* An array containing the sizes to be used for the matrices. */
/* Zero values will be skipped. The values must be at least */
/* zero. */
/* NTYPES (input) INTEGER */
/* The number of elements in DOTYPE. NTYPES must be at least */
/* zero. If it is zero, no randomly generated test matrices */
/* are tested, but and test matrices read from NIUNIT will be */
/* tested. If it is MAXTYP+1 and NSIZES is 1, then an */
/* additional type, MAXTYP+1 is defined, which is to use */
/* whatever matrix is in A. This is only useful if */
/* DOTYPE(1:MAXTYP) is .FALSE. and DOTYPE(MAXTYP+1) is .TRUE. . */
/* DOTYPE (input) LOGICAL array, dimension (NTYPES) */
/* If DOTYPE(j) is .TRUE., then for each size in NN a */
/* matrix of that size and of type j will be generated. */
/* If NTYPES is smaller than the maximum number of types */
/* defined (PARAMETER MAXTYP), then types NTYPES+1 through */
/* MAXTYP will not be generated. If NTYPES is larger */
/* than MAXTYP, DOTYPE(MAXTYP+1) through DOTYPE(NTYPES) */
/* will be ignored. */
/* ISEED (input/output) INTEGER array, dimension (4) */
/* On entry ISEED specifies the seed of the random number */
/* generator. The array elements should be between 0 and 4095; */
/* if not they will be reduced mod 4096. Also, ISEED(4) must */
/* be odd. The random number generator uses a linear */
/* congruential sequence limited to small integers, and so */
/* should produce machine independent random numbers. The */
/* values of ISEED are changed on exit, and can be used in the */
/* next call to CDRVSX to continue the same random number */
/* sequence. */
/* THRESH (input) REAL */
/* A test will count as "failed" if the "error", computed as */
/* described above, exceeds THRESH. Note that the error */
/* is scaled to be O(1), so THRESH should be a reasonably */
/* small multiple of 1, e.g., 10 or 100. In particular, */
/* it should not depend on the precision (single vs. double) */
/* or the size of the matrix. It must be at least zero. */
/* NIUNIT (input) INTEGER */
/* The FORTRAN unit number for reading in the data file of */
/* problems to solve. */
/* NOUNIT (input) INTEGER */
/* The FORTRAN unit number for printing out error messages */
/* (e.g., if a routine returns INFO not equal to 0.) */
/* A (workspace) COMPLEX array, dimension (LDA, max(NN)) */
/* Used to hold the matrix whose eigenvalues are to be */
/* computed. On exit, A contains the last matrix actually used. */
/* LDA (input) INTEGER */
/* The leading dimension of A, and H. LDA must be at */
/* least 1 and at least max( NN ). */
/* H (workspace) COMPLEX array, dimension (LDA, max(NN)) */
/* Another copy of the test matrix A, modified by CGEESX. */
/* HT (workspace) COMPLEX array, dimension (LDA, max(NN)) */
/* Yet another copy of the test matrix A, modified by CGEESX. */
/* W (workspace) COMPLEX array, dimension (max(NN)) */
/* The computed eigenvalues of A. */
/* WT (workspace) COMPLEX array, dimension (max(NN)) */
/* Like W, this array contains the eigenvalues of A, */
/* but those computed when CGEESX only computes a partial */
/* eigendecomposition, i.e. not Schur vectors */
/* WTMP (workspace) COMPLEX array, dimension (max(NN)) */
/* More temporary storage for eigenvalues. */
/* VS (workspace) COMPLEX array, dimension (LDVS, max(NN)) */
/* VS holds the computed Schur vectors. */
/* LDVS (input) INTEGER */
/* Leading dimension of VS. Must be at least max(1,max(NN)). */
/* VS1 (workspace) COMPLEX array, dimension (LDVS, max(NN)) */
/* VS1 holds another copy of the computed Schur vectors. */
/* RESULT (output) REAL array, dimension (17) */
/* The values computed by the 17 tests described above. */
/* The values are currently limited to 1/ulp, to avoid overflow. */
/* WORK (workspace) COMPLEX array, dimension (LWORK) */
/* LWORK (input) INTEGER */
/* The number of entries in WORK. This must be at least */
/* max(1,2*NN(j)**2) for all j. */
/* RWORK (workspace) REAL array, dimension (max(NN)) */
/* BWORK (workspace) LOGICAL array, dimension (max(NN)) */
/* INFO (output) INTEGER */
/* If 0, successful exit. */
/* <0, input parameter -INFO is incorrect */
/* >0, CLATMR, CLATMS, CLATME or CGET24 returned an error */
/* code and INFO is its absolute value */
/* ----------------------------------------------------------------------- */
/* Some Local Variables and Parameters: */
/* ---- ----- --------- --- ---------- */
/* ZERO, ONE Real 0 and 1. */
/* MAXTYP The number of types defined. */
/* NMAX Largest value in NN. */
/* NERRS The number of tests which have exceeded THRESH */
/* COND, CONDS, */
/* IMODE Values to be passed to the matrix generators. */
/* ANORM Norm of A; passed to matrix generators. */
/* OVFL, UNFL Overflow and underflow thresholds. */
/* ULP, ULPINV Finest relative precision and its inverse. */
/* RTULP, RTULPI Square roots of the previous 4 values. */
/* The following four arrays decode JTYPE: */
/* KTYPE(j) The general type (1-10) for type "j". */
/* KMODE(j) The MODE value to be passed to the matrix */
/* generator for type "j". */
/* KMAGN(j) The order of magnitude ( O(1), */
/* O(overflow^(1/2) ), O(underflow^(1/2) ) */
/* KCONDS(j) Selectw whether CONDS is to be 1 or */
/* 1/sqrt(ulp). (0 means irrelevant.) */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. Arrays in Common .. */
/* .. */
/* .. Scalars in Common .. */
/* .. */
/* .. Common blocks .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Data statements .. */
/* Parameter adjustments */
--nn;
--dotype;
--iseed;
ht_dim1 = *lda;
ht_offset = 1 + ht_dim1;
ht -= ht_offset;
h_dim1 = *lda;
h_offset = 1 + h_dim1;
h__ -= h_offset;
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--w;
--wt;
--wtmp;
vs1_dim1 = *ldvs;
vs1_offset = 1 + vs1_dim1;
vs1 -= vs1_offset;
vs_dim1 = *ldvs;
vs_offset = 1 + vs_dim1;
vs -= vs_offset;
--result;
--work;
--rwork;
--bwork;
/* Function Body */
/* .. */
/* .. Executable Statements .. */
s_copy(path, "Complex precision", (ftnlen)1, (ftnlen)17);
s_copy(path + 1, "SX", (ftnlen)2, (ftnlen)2);
/* Check for errors */
ntestt = 0;
ntestf = 0;
*info = 0;
/* Important constants */
badnn = FALSE_;
/* 8 is the largest dimension in the input file of precomputed */
/* problems */
nmax = 8;
i__1 = *nsizes;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = nmax, i__3 = nn[j];
nmax = max(i__2,i__3);
if (nn[j] < 0) {
badnn = TRUE_;
}
/* L10: */
}
/* Check for errors */
if (*nsizes < 0) {
*info = -1;
} else if (badnn) {
*info = -2;
} else if (*ntypes < 0) {
*info = -3;
} else if (*thresh < 0.f) {
*info = -6;
} else if (*niunit <= 0) {
*info = -7;
} else if (*nounit <= 0) {
*info = -8;
} else if (*lda < 1 || *lda < nmax) {
*info = -10;
} else if (*ldvs < 1 || *ldvs < nmax) {
*info = -20;
} else /* if(complicated condition) */ {
/* Computing MAX */
/* Computing 2nd power */
i__3 = nmax;
i__1 = nmax * 3, i__2 = i__3 * i__3 << 1;
if (max(i__1,i__2) > *lwork) {
*info = -24;
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CDRVSX", &i__1);
return 0;
}
/* If nothing to do check on NIUNIT */
if (*nsizes == 0 || *ntypes == 0) {
goto L150;
}
/* More Important constants */
unfl = slamch_("Safe minimum");
ovfl = 1.f / unfl;
slabad_(&unfl, &ovfl);
ulp = slamch_("Precision");
ulpinv = 1.f / ulp;
rtulp = sqrt(ulp);
rtulpi = 1.f / rtulp;
/* Loop over sizes, types */
nerrs = 0;
i__1 = *nsizes;
for (jsize = 1; jsize <= i__1; ++jsize) {
n = nn[jsize];
if (*nsizes != 1) {
mtypes = min(21,*ntypes);
} else {
mtypes = min(22,*ntypes);
}
i__2 = mtypes;
for (jtype = 1; jtype <= i__2; ++jtype) {
if (! dotype[jtype]) {
goto L130;
}
/* Save ISEED in case of an error. */
for (j = 1; j <= 4; ++j) {
ioldsd[j - 1] = iseed[j];
/* L20: */
}
/* Compute "A" */
/* Control parameters: */
/* KMAGN KCONDS KMODE KTYPE */
/* =1 O(1) 1 clustered 1 zero */
/* =2 large large clustered 2 identity */
/* =3 small exponential Jordan */
/* =4 arithmetic diagonal, (w/ eigenvalues) */
/* =5 random log symmetric, w/ eigenvalues */
/* =6 random general, w/ eigenvalues */
/* =7 random diagonal */
/* =8 random symmetric */
/* =9 random general */
/* =10 random triangular */
if (mtypes > 21) {
goto L90;
}
itype = ktype[jtype - 1];
imode = kmode[jtype - 1];
/* Compute norm */
switch (kmagn[jtype - 1]) {
case 1: goto L30;
case 2: goto L40;
case 3: goto L50;
}
L30:
anorm = 1.f;
goto L60;
L40:
anorm = ovfl * ulp;
goto L60;
L50:
anorm = unfl * ulpinv;
goto L60;
L60:
claset_("Full", lda, &n, &c_b1, &c_b1, &a[a_offset], lda);
iinfo = 0;
cond = ulpinv;
/* Special Matrices -- Identity & Jordan block */
if (itype == 1) {
/* Zero */
iinfo = 0;
} else if (itype == 2) {
/* Identity */
i__3 = n;
for (jcol = 1; jcol <= i__3; ++jcol) {
i__4 = jcol + jcol * a_dim1;
a[i__4].r = anorm, a[i__4].i = 0.f;
/* L70: */
}
} else if (itype == 3) {
/* Jordan Block */
i__3 = n;
for (jcol = 1; jcol <= i__3; ++jcol) {
i__4 = jcol + jcol * a_dim1;
a[i__4].r = anorm, a[i__4].i = 0.f;
if (jcol > 1) {
i__4 = jcol + (jcol - 1) * a_dim1;
a[i__4].r = 1.f, a[i__4].i = 0.f;
}
/* L80: */
}
} else if (itype == 4) {
/* Diagonal Matrix, [Eigen]values Specified */
clatms_(&n, &n, "S", &iseed[1], "H", &rwork[1], &imode, &cond,
&anorm, &c__0, &c__0, "N", &a[a_offset], lda, &work[
n + 1], &iinfo);
} else if (itype == 5) {
/* Symmetric, eigenvalues specified */
clatms_(&n, &n, "S", &iseed[1], "H", &rwork[1], &imode, &cond,
&anorm, &n, &n, "N", &a[a_offset], lda, &work[n + 1],
&iinfo);
} else if (itype == 6) {
/* General, eigenvalues specified */
if (kconds[jtype - 1] == 1) {
conds = 1.f;
} else if (kconds[jtype - 1] == 2) {
conds = rtulpi;
} else {
conds = 0.f;
}
clatme_(&n, "D", &iseed[1], &work[1], &imode, &cond, &c_b2,
" ", "T", "T", "T", &rwork[1], &c__4, &conds, &n, &n,
&anorm, &a[a_offset], lda, &work[(n << 1) + 1], &
iinfo);
} else if (itype == 7) {
/* Diagonal, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "N", &work[1], &c__6, &c_b39,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b39, &work[(
n << 1) + 1], &c__1, &c_b39, "N", idumma, &c__0, &
c__0, &c_b49, &anorm, "NO", &a[a_offset], lda, idumma,
&iinfo);
} else if (itype == 8) {
/* Symmetric, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "H", &work[1], &c__6, &c_b39,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b39, &work[(
n << 1) + 1], &c__1, &c_b39, "N", idumma, &n, &n, &
c_b49, &anorm, "NO", &a[a_offset], lda, idumma, &
iinfo);
} else if (itype == 9) {
/* General, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "N", &work[1], &c__6, &c_b39,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b39, &work[(
n << 1) + 1], &c__1, &c_b39, "N", idumma, &n, &n, &
c_b49, &anorm, "NO", &a[a_offset], lda, idumma, &
iinfo);
if (n >= 4) {
claset_("Full", &c__2, &n, &c_b1, &c_b1, &a[a_offset],
lda);
i__3 = n - 3;
claset_("Full", &i__3, &c__1, &c_b1, &c_b1, &a[a_dim1 + 3]
, lda);
i__3 = n - 3;
claset_("Full", &i__3, &c__2, &c_b1, &c_b1, &a[(n - 1) *
a_dim1 + 3], lda);
claset_("Full", &c__1, &n, &c_b1, &c_b1, &a[n + a_dim1],
lda);
}
} else if (itype == 10) {
/* Triangular, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "N", &work[1], &c__6, &c_b39,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b39, &work[(
n << 1) + 1], &c__1, &c_b39, "N", idumma, &n, &c__0, &
c_b49, &anorm, "NO", &a[a_offset], lda, idumma, &
iinfo);
} else {
iinfo = 1;
}
if (iinfo != 0) {
io___31.ciunit = *nounit;
s_wsfe(&io___31);
do_fio(&c__1, "Generator", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
return 0;
}
L90:
/* Test for minimal and generous workspace */
for (iwk = 1; iwk <= 2; ++iwk) {
if (iwk == 1) {
nnwork = n << 1;
} else {
/* Computing MAX */
i__3 = n << 1, i__4 = n * (n + 1) / 2;
nnwork = max(i__3,i__4);
}
nnwork = max(nnwork,1);
cget24_(&c_false, &jtype, thresh, ioldsd, nounit, &n, &a[
a_offset], lda, &h__[h_offset], &ht[ht_offset], &w[1],
&wt[1], &wtmp[1], &vs[vs_offset], ldvs, &vs1[
vs1_offset], &rcdein, &rcdvin, &nslct, islct, &c__0, &
result[1], &work[1], &nnwork, &rwork[1], &bwork[1],
info);
/* Check for RESULT(j) > THRESH */
ntest = 0;
nfail = 0;
for (j = 1; j <= 15; ++j) {
if (result[j] >= 0.f) {
++ntest;
}
if (result[j] >= *thresh) {
++nfail;
}
/* L100: */
}
if (nfail > 0) {
++ntestf;
}
if (ntestf == 1) {
io___40.ciunit = *nounit;
s_wsfe(&io___40);
do_fio(&c__1, path, (ftnlen)3);
e_wsfe();
io___41.ciunit = *nounit;
s_wsfe(&io___41);
e_wsfe();
io___42.ciunit = *nounit;
s_wsfe(&io___42);
e_wsfe();
io___43.ciunit = *nounit;
s_wsfe(&io___43);
e_wsfe();
io___44.ciunit = *nounit;
s_wsfe(&io___44);
do_fio(&c__1, (char *)&(*thresh), (ftnlen)sizeof(real));
e_wsfe();
io___45.ciunit = *nounit;
s_wsfe(&io___45);
e_wsfe();
ntestf = 2;
}
for (j = 1; j <= 15; ++j) {
if (result[j] >= *thresh) {
io___46.ciunit = *nounit;
s_wsfe(&io___46);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&iwk, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
;
do_fio(&c__1, (char *)&j, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[j], (ftnlen)sizeof(real)
);
e_wsfe();
}
/* L110: */
}
nerrs += nfail;
ntestt += ntest;
/* L120: */
}
L130:
;
}
/* L140: */
}
L150:
/* Read in data from file to check accuracy of condition estimation */
/* Read input data until N=0 */
jtype = 0;
L160:
io___47.ciunit = *niunit;
i__1 = s_rsle(&io___47);
if (i__1 != 0) {
goto L200;
}
i__1 = do_lio(&c__3, &c__1, (char *)&n, (ftnlen)sizeof(integer));
if (i__1 != 0) {
goto L200;
}
i__1 = do_lio(&c__3, &c__1, (char *)&nslct, (ftnlen)sizeof(integer));
if (i__1 != 0) {
goto L200;
}
i__1 = do_lio(&c__3, &c__1, (char *)&isrt, (ftnlen)sizeof(integer));
if (i__1 != 0) {
goto L200;
}
i__1 = e_rsle();
if (i__1 != 0) {
goto L200;
}
if (n == 0) {
goto L200;
}
++jtype;
iseed[1] = jtype;
io___49.ciunit = *niunit;
s_rsle(&io___49);
i__1 = nslct;
for (i__ = 1; i__ <= i__1; ++i__) {
do_lio(&c__3, &c__1, (char *)&islct[i__ - 1], (ftnlen)sizeof(integer))
;
}
e_rsle();
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
io___51.ciunit = *niunit;
s_rsle(&io___51);
i__2 = n;
for (j = 1; j <= i__2; ++j) {
do_lio(&c__6, &c__1, (char *)&a[i__ + j * a_dim1], (ftnlen)sizeof(
complex));
}
e_rsle();
/* L170: */
}
io___52.ciunit = *niunit;
s_rsle(&io___52);
do_lio(&c__4, &c__1, (char *)&rcdein, (ftnlen)sizeof(real));
do_lio(&c__4, &c__1, (char *)&rcdvin, (ftnlen)sizeof(real));
e_rsle();
cget24_(&c_true, &c__22, thresh, &iseed[1], nounit, &n, &a[a_offset], lda,
&h__[h_offset], &ht[ht_offset], &w[1], &wt[1], &wtmp[1], &vs[
vs_offset], ldvs, &vs1[vs1_offset], &rcdein, &rcdvin, &nslct,
islct, &isrt, &result[1], &work[1], lwork, &rwork[1], &bwork[1],
info);
/* Check for RESULT(j) > THRESH */
ntest = 0;
nfail = 0;
for (j = 1; j <= 17; ++j) {
if (result[j] >= 0.f) {
++ntest;
}
if (result[j] >= *thresh) {
++nfail;
}
/* L180: */
}
if (nfail > 0) {
++ntestf;
}
if (ntestf == 1) {
io___53.ciunit = *nounit;
s_wsfe(&io___53);
do_fio(&c__1, path, (ftnlen)3);
e_wsfe();
io___54.ciunit = *nounit;
s_wsfe(&io___54);
e_wsfe();
io___55.ciunit = *nounit;
s_wsfe(&io___55);
e_wsfe();
io___56.ciunit = *nounit;
s_wsfe(&io___56);
e_wsfe();
io___57.ciunit = *nounit;
s_wsfe(&io___57);
do_fio(&c__1, (char *)&(*thresh), (ftnlen)sizeof(real));
e_wsfe();
io___58.ciunit = *nounit;
s_wsfe(&io___58);
e_wsfe();
ntestf = 2;
}
for (j = 1; j <= 17; ++j) {
if (result[j] >= *thresh) {
io___59.ciunit = *nounit;
s_wsfe(&io___59);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&j, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[j], (ftnlen)sizeof(real));
e_wsfe();
}
/* L190: */
}
nerrs += nfail;
ntestt += ntest;
goto L160;
L200:
/* Summary */
slasum_(path, nounit, &nerrs, &ntestt);
return 0;
/* End of CDRVSX */
} /* cdrvsx_ */
/* Subroutine */ int cchkhs_(integer *nsizes, integer *nn, integer *ntypes,
logical *dotype, integer *iseed, real *thresh, integer *nounit,
complex *a, integer *lda, complex *h__, complex *t1, complex *t2,
complex *u, integer *ldu, complex *z__, complex *uz, complex *w1,
complex *w3, complex *evectl, complex *evectr, complex *evecty,
complex *evectx, complex *uu, complex *tau, complex *work, integer *
nwork, real *rwork, integer *iwork, logical *select, real *result,
integer *info)
{
/* Initialized data */
static integer ktype[21] = { 1,2,3,4,4,4,4,4,6,6,6,6,6,6,6,6,6,6,9,9,9 };
static integer kmagn[21] = { 1,1,1,1,1,1,2,3,1,1,1,1,1,1,1,1,2,3,1,2,3 };
static integer kmode[21] = { 0,0,0,4,3,1,4,4,4,3,1,5,4,3,1,5,5,5,4,3,1 };
static integer kconds[21] = { 0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,2,2,0,0,0 };
/* Format strings */
static char fmt_9999[] = "(\002 CCHKHS: \002,a,\002 returned INFO=\002,i"
"6,\002.\002,/9x,\002N=\002,i6,\002, JTYPE=\002,i6,\002, ISEED="
"(\002,3(i5,\002,\002),i5,\002)\002)";
static char fmt_9998[] = "(\002 CCHKHS: \002,a,\002 Eigenvectors from"
" \002,a,\002 incorrectly \002,\002normalized.\002,/\002 Bits of "
"error=\002,0p,g10.3,\002,\002,9x,\002N=\002,i6,\002, JTYPE=\002,"
"i6,\002, ISEED=(\002,3(i5,\002,\002),i5,\002)\002)";
static char fmt_9997[] = "(\002 CCHKHS: Selected \002,a,\002 Eigenvector"
"s from \002,a,\002 do not match other eigenvectors \002,9x,\002N="
"\002,i6,\002, JTYPE=\002,i6,\002, ISEED=(\002,3(i5,\002,\002),i5,"
"\002)\002)";
/* System generated locals */
integer a_dim1, a_offset, evectl_dim1, evectl_offset, evectr_dim1,
evectr_offset, evectx_dim1, evectx_offset, evecty_dim1,
evecty_offset, h_dim1, h_offset, t1_dim1, t1_offset, t2_dim1,
t2_offset, u_dim1, u_offset, uu_dim1, uu_offset, uz_dim1,
uz_offset, z_dim1, z_offset, i__1, i__2, i__3, i__4, i__5, i__6;
real r__1, r__2;
complex q__1;
/* Local variables */
integer i__, j, k, n, n1, jj, in, ihi, ilo;
real ulp, cond;
integer jcol, nmax;
real unfl, ovfl, temp1, temp2;
logical badnn;
extern /* Subroutine */ int cget10_(integer *, integer *, complex *,
integer *, complex *, integer *, complex *, real *, real *),
cget22_(char *, char *, char *, integer *, complex *, integer *,
complex *, integer *, complex *, complex *, real *, real *), cgemm_(char *, char *, integer *,
integer *, integer *, complex *, complex *, integer *, complex *,
integer *, complex *, complex *, integer *);
logical match;
integer imode;
extern /* Subroutine */ int chst01_(integer *, integer *, integer *,
complex *, integer *, complex *, integer *, complex *, integer *,
complex *, integer *, real *, real *);
real dumma[4];
integer iinfo;
real conds, aninv, anorm;
extern /* Subroutine */ int ccopy_(integer *, complex *, integer *,
complex *, integer *);
integer nmats, jsize, nerrs, itype, jtype, ntest;
real rtulp;
extern /* Subroutine */ int slabad_(real *, real *), cgehrd_(integer *,
integer *, integer *, complex *, integer *, complex *, complex *,
integer *, integer *), clatme_(integer *, char *, integer *,
complex *, integer *, real *, complex *, char *, char *, char *,
char *, real *, integer *, real *, integer *, integer *, real *,
complex *, integer *, complex *, integer *);
complex cdumma[4];
extern doublereal slamch_(char *);
extern /* Subroutine */ int chsein_(char *, char *, char *, logical *,
integer *, complex *, integer *, complex *, complex *, integer *,
complex *, integer *, integer *, integer *, complex *, real *,
integer *, integer *, integer *), clacpy_(
char *, integer *, integer *, complex *, integer *, complex *,
integer *);
integer idumma[1];
extern /* Subroutine */ int claset_(char *, integer *, integer *, complex
*, complex *, complex *, integer *);
integer ioldsd[4];
extern /* Subroutine */ int xerbla_(char *, integer *), clatmr_(
integer *, integer *, char *, integer *, char *, complex *,
integer *, real *, complex *, char *, char *, complex *, integer *
, real *, complex *, integer *, real *, char *, integer *,
integer *, integer *, real *, real *, char *, complex *, integer *
, integer *, integer *), clatms_(integer *, integer *, char *, integer *, char *,
real *, integer *, real *, real *, integer *, integer *, char *,
complex *, integer *, complex *, integer *), chseqr_(char *, char *, integer *, integer *, integer *,
complex *, integer *, complex *, complex *, integer *, complex *,
integer *, integer *), ctrevc_(char *, char *,
logical *, integer *, complex *, integer *, complex *, integer *,
complex *, integer *, integer *, integer *, complex *, real *,
integer *), cunghr_(integer *, integer *, integer
*, complex *, integer *, complex *, complex *, integer *, integer
*), cunmhr_(char *, char *, integer *, integer *, integer *,
integer *, complex *, integer *, complex *, complex *, integer *,
complex *, integer *, integer *), slafts_(char *,
integer *, integer *, integer *, integer *, real *, integer *,
real *, integer *, integer *), slasum_(char *, integer *,
integer *, integer *);
real rtunfl, rtovfl, rtulpi, ulpinv;
integer mtypes, ntestt;
/* Fortran I/O blocks */
static cilist io___35 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___38 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___40 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___41 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___42 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___47 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___49 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___50 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___54 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___55 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___56 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___57 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___58 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___59 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___60 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___61 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___62 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___63 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___64 = { 0, 0, 0, fmt_9999, 0 };
/* -- LAPACK test routine (version 3.1.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* February 2007 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CCHKHS checks the nonsymmetric eigenvalue problem routines. */
/* CGEHRD factors A as U H U' , where ' means conjugate */
/* transpose, H is hessenberg, and U is unitary. */
/* CUNGHR generates the unitary matrix U. */
/* CUNMHR multiplies a matrix by the unitary matrix U. */
/* CHSEQR factors H as Z T Z' , where Z is unitary and T */
/* is upper triangular. It also computes the eigenvalues, */
/* w(1), ..., w(n); we define a diagonal matrix W whose */
/* (diagonal) entries are the eigenvalues. */
/* CTREVC computes the left eigenvector matrix L and the */
/* right eigenvector matrix R for the matrix T. The */
/* columns of L are the complex conjugates of the left */
/* eigenvectors of T. The columns of R are the right */
/* eigenvectors of T. L is lower triangular, and R is */
/* upper triangular. */
/* CHSEIN computes the left eigenvector matrix Y and the */
/* right eigenvector matrix X for the matrix H. The */
/* columns of Y are the complex conjugates of the left */
/* eigenvectors of H. The columns of X are the right */
/* eigenvectors of H. Y is lower triangular, and X is */
/* upper triangular. */
/* When CCHKHS is called, a number of matrix "sizes" ("n's") and a */
/* number of matrix "types" are specified. For each size ("n") */
/* and each type of matrix, one matrix will be generated and used */
/* to test the nonsymmetric eigenroutines. For each matrix, 14 */
/* tests will be performed: */
/* (1) | A - U H U**H | / ( |A| n ulp ) */
/* (2) | I - UU**H | / ( n ulp ) */
/* (3) | H - Z T Z**H | / ( |H| n ulp ) */
/* (4) | I - ZZ**H | / ( n ulp ) */
/* (5) | A - UZ H (UZ)**H | / ( |A| n ulp ) */
/* (6) | I - UZ (UZ)**H | / ( n ulp ) */
/* (7) | T(Z computed) - T(Z not computed) | / ( |T| ulp ) */
/* (8) | W(Z computed) - W(Z not computed) | / ( |W| ulp ) */
/* (9) | TR - RW | / ( |T| |R| ulp ) */
/* (10) | L**H T - W**H L | / ( |T| |L| ulp ) */
/* (11) | HX - XW | / ( |H| |X| ulp ) */
/* (12) | Y**H H - W**H Y | / ( |H| |Y| ulp ) */
/* (13) | AX - XW | / ( |A| |X| ulp ) */
/* (14) | Y**H A - W**H Y | / ( |A| |Y| ulp ) */
/* The "sizes" are specified by an array NN(1:NSIZES); the value of */
/* each element NN(j) specifies one size. */
/* The "types" are specified by a logical array DOTYPE( 1:NTYPES ); */
/* if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. */
/* Currently, the list of possible types is: */
/* (1) The zero matrix. */
/* (2) The identity matrix. */
/* (3) A (transposed) Jordan block, with 1's on the diagonal. */
/* (4) A diagonal matrix with evenly spaced entries */
/* 1, ..., ULP and random complex angles. */
/* (ULP = (first number larger than 1) - 1 ) */
/* (5) A diagonal matrix with geometrically spaced entries */
/* 1, ..., ULP and random complex angles. */
/* (6) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP */
/* and random complex angles. */
/* (7) Same as (4), but multiplied by SQRT( overflow threshold ) */
/* (8) Same as (4), but multiplied by SQRT( underflow threshold ) */
/* (9) A matrix of the form U' T U, where U is unitary and */
/* T has evenly spaced entries 1, ..., ULP with random complex */
/* angles on the diagonal and random O(1) entries in the upper */
/* triangle. */
/* (10) A matrix of the form U' T U, where U is unitary and */
/* T has geometrically spaced entries 1, ..., ULP with random */
/* complex angles on the diagonal and random O(1) entries in */
/* the upper triangle. */
/* (11) A matrix of the form U' T U, where U is unitary and */
/* T has "clustered" entries 1, ULP,..., ULP with random */
/* complex angles on the diagonal and random O(1) entries in */
/* the upper triangle. */
/* (12) A matrix of the form U' T U, where U is unitary and */
/* T has complex eigenvalues randomly chosen from */
/* ULP < |z| < 1 and random O(1) entries in the upper */
/* triangle. */
/* (13) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has evenly spaced entries 1, ..., ULP */
/* with random complex angles on the diagonal and random O(1) */
/* entries in the upper triangle. */
/* (14) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has geometrically spaced entries */
/* 1, ..., ULP with random complex angles on the diagonal */
/* and random O(1) entries in the upper triangle. */
/* (15) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has "clustered" entries 1, ULP,..., ULP */
/* with random complex angles on the diagonal and random O(1) */
/* entries in the upper triangle. */
/* (16) A matrix of the form X' T X, where X has condition */
/* SQRT( ULP ) and T has complex eigenvalues randomly chosen */
/* from ULP < |z| < 1 and random O(1) entries in the upper */
/* triangle. */
/* (17) Same as (16), but multiplied by SQRT( overflow threshold ) */
/* (18) Same as (16), but multiplied by SQRT( underflow threshold ) */
/* (19) Nonsymmetric matrix with random entries chosen from |z| < 1 */
/* (20) Same as (19), but multiplied by SQRT( overflow threshold ) */
/* (21) Same as (19), but multiplied by SQRT( underflow threshold ) */
/* Arguments */
/* ========== */
/* NSIZES - INTEGER */
/* The number of sizes of matrices to use. If it is zero, */
/* CCHKHS does nothing. It must be at least zero. */
/* Not modified. */
/* NN - INTEGER array, dimension (NSIZES) */
/* An array containing the sizes to be used for the matrices. */
/* Zero values will be skipped. The values must be at least */
/* zero. */
/* Not modified. */
/* NTYPES - INTEGER */
/* The number of elements in DOTYPE. If it is zero, CCHKHS */
/* does nothing. It must be at least zero. If it is MAXTYP+1 */
/* and NSIZES is 1, then an additional type, MAXTYP+1 is */
/* defined, which is to use whatever matrix is in A. This */
/* is only useful if DOTYPE(1:MAXTYP) is .FALSE. and */
/* DOTYPE(MAXTYP+1) is .TRUE. . */
/* Not modified. */
/* DOTYPE - LOGICAL array, dimension (NTYPES) */
/* If DOTYPE(j) is .TRUE., then for each size in NN a */
/* matrix of that size and of type j will be generated. */
/* If NTYPES is smaller than the maximum number of types */
/* defined (PARAMETER MAXTYP), then types NTYPES+1 through */
/* MAXTYP will not be generated. If NTYPES is larger */
/* than MAXTYP, DOTYPE(MAXTYP+1) through DOTYPE(NTYPES) */
/* will be ignored. */
/* Not modified. */
/* ISEED - INTEGER array, dimension (4) */
/* On entry ISEED specifies the seed of the random number */
/* generator. The array elements should be between 0 and 4095; */
/* if not they will be reduced mod 4096. Also, ISEED(4) must */
/* be odd. The random number generator uses a linear */
/* congruential sequence limited to small integers, and so */
/* should produce machine independent random numbers. The */
/* values of ISEED are changed on exit, and can be used in the */
/* next call to CCHKHS to continue the same random number */
/* sequence. */
/* Modified. */
/* THRESH - REAL */
/* A test will count as "failed" if the "error", computed as */
/* described above, exceeds THRESH. Note that the error */
/* is scaled to be O(1), so THRESH should be a reasonably */
/* small multiple of 1, e.g., 10 or 100. In particular, */
/* it should not depend on the precision (single vs. double) */
/* or the size of the matrix. It must be at least zero. */
/* Not modified. */
/* NOUNIT - INTEGER */
/* The FORTRAN unit number for printing out error messages */
/* (e.g., if a routine returns IINFO not equal to 0.) */
/* Not modified. */
/* A - COMPLEX array, dimension (LDA,max(NN)) */
/* Used to hold the matrix whose eigenvalues are to be */
/* computed. On exit, A contains the last matrix actually */
/* used. */
/* Modified. */
/* LDA - INTEGER */
/* The leading dimension of A, H, T1 and T2. It must be at */
/* least 1 and at least max( NN ). */
/* Not modified. */
/* H - COMPLEX array, dimension (LDA,max(NN)) */
/* The upper hessenberg matrix computed by CGEHRD. On exit, */
/* H contains the Hessenberg form of the matrix in A. */
/* Modified. */
/* T1 - COMPLEX array, dimension (LDA,max(NN)) */
/* The Schur (="quasi-triangular") matrix computed by CHSEQR */
/* if Z is computed. On exit, T1 contains the Schur form of */
/* the matrix in A. */
/* Modified. */
/* T2 - COMPLEX array, dimension (LDA,max(NN)) */
/* The Schur matrix computed by CHSEQR when Z is not computed. */
/* This should be identical to T1. */
/* Modified. */
/* LDU - INTEGER */
/* The leading dimension of U, Z, UZ and UU. It must be at */
/* least 1 and at least max( NN ). */
/* Not modified. */
/* U - COMPLEX array, dimension (LDU,max(NN)) */
/* The unitary matrix computed by CGEHRD. */
/* Modified. */
/* Z - COMPLEX array, dimension (LDU,max(NN)) */
/* The unitary matrix computed by CHSEQR. */
/* Modified. */
/* UZ - COMPLEX array, dimension (LDU,max(NN)) */
/* The product of U times Z. */
/* Modified. */
/* W1 - COMPLEX array, dimension (max(NN)) */
/* The eigenvalues of A, as computed by a full Schur */
/* decomposition H = Z T Z'. On exit, W1 contains the */
/* eigenvalues of the matrix in A. */
/* Modified. */
/* W3 - COMPLEX array, dimension (max(NN)) */
/* The eigenvalues of A, as computed by a partial Schur */
/* decomposition (Z not computed, T only computed as much */
/* as is necessary for determining eigenvalues). On exit, */
/* W3 contains the eigenvalues of the matrix in A, possibly */
/* perturbed by CHSEIN. */
/* Modified. */
/* EVECTL - COMPLEX array, dimension (LDU,max(NN)) */
/* The conjugate transpose of the (upper triangular) left */
/* eigenvector matrix for the matrix in T1. */
/* Modified. */
/* EVECTR - COMPLEX array, dimension (LDU,max(NN)) */
/* The (upper triangular) right eigenvector matrix for the */
/* matrix in T1. */
/* Modified. */
/* EVECTY - COMPLEX array, dimension (LDU,max(NN)) */
/* The conjugate transpose of the left eigenvector matrix */
/* for the matrix in H. */
/* Modified. */
/* EVECTX - COMPLEX array, dimension (LDU,max(NN)) */
/* The right eigenvector matrix for the matrix in H. */
/* Modified. */
/* UU - COMPLEX array, dimension (LDU,max(NN)) */
/* Details of the unitary matrix computed by CGEHRD. */
/* Modified. */
/* TAU - COMPLEX array, dimension (max(NN)) */
/* Further details of the unitary matrix computed by CGEHRD. */
/* Modified. */
/* WORK - COMPLEX array, dimension (NWORK) */
/* Workspace. */
/* Modified. */
/* NWORK - INTEGER */
/* The number of entries in WORK. NWORK >= 4*NN(j)*NN(j) + 2. */
/* RWORK - REAL array, dimension (max(NN)) */
/* Workspace. Could be equivalenced to IWORK, but not SELECT. */
/* Modified. */
/* IWORK - INTEGER array, dimension (max(NN)) */
/* Workspace. */
/* Modified. */
/* SELECT - LOGICAL array, dimension (max(NN)) */
/* Workspace. Could be equivalenced to IWORK, but not RWORK. */
/* Modified. */
/* RESULT - REAL array, dimension (14) */
/* The values computed by the fourteen tests described above. */
/* The values are currently limited to 1/ulp, to avoid */
/* overflow. */
/* Modified. */
/* INFO - INTEGER */
/* If 0, then everything ran OK. */
/* -1: NSIZES < 0 */
/* -2: Some NN(j) < 0 */
/* -3: NTYPES < 0 */
/* -6: THRESH < 0 */
/* -9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ). */
/* -14: LDU < 1 or LDU < NMAX. */
/* -26: NWORK too small. */
/* If CLATMR, CLATMS, or CLATME returns an error code, the */
/* absolute value of it is returned. */
/* If 1, then CHSEQR could not find all the shifts. */
/* If 2, then the EISPACK code (for small blocks) failed. */
/* If >2, then 30*N iterations were not enough to find an */
/* eigenvalue or to decompose the problem. */
/* Modified. */
/* ----------------------------------------------------------------------- */
/* Some Local Variables and Parameters: */
/* ---- ----- --------- --- ---------- */
/* ZERO, ONE Real 0 and 1. */
/* MAXTYP The number of types defined. */
/* MTEST The number of tests defined: care must be taken */
/* that (1) the size of RESULT, (2) the number of */
/* tests actually performed, and (3) MTEST agree. */
/* NTEST The number of tests performed on this matrix */
/* so far. This should be less than MTEST, and */
/* equal to it by the last test. It will be less */
/* if any of the routines being tested indicates */
/* that it could not compute the matrices that */
/* would be tested. */
/* NMAX Largest value in NN. */
/* NMATS The number of matrices generated so far. */
/* NERRS The number of tests which have exceeded THRESH */
/* so far (computed by SLAFTS). */
/* COND, CONDS, */
/* IMODE Values to be passed to the matrix generators. */
/* ANORM Norm of A; passed to matrix generators. */
/* OVFL, UNFL Overflow and underflow thresholds. */
/* ULP, ULPINV Finest relative precision and its inverse. */
/* RTOVFL, RTUNFL, */
/* RTULP, RTULPI Square roots of the previous 4 values. */
/* The following four arrays decode JTYPE: */
/* KTYPE(j) The general type (1-10) for type "j". */
/* KMODE(j) The MODE value to be passed to the matrix */
/* generator for type "j". */
/* KMAGN(j) The order of magnitude ( O(1), */
/* O(overflow^(1/2) ), O(underflow^(1/2) ) */
/* KCONDS(j) Selects whether CONDS is to be 1 or */
/* 1/sqrt(ulp). (0 means irrelevant.) */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Data statements .. */
/* Parameter adjustments */
--nn;
--dotype;
--iseed;
t2_dim1 = *lda;
t2_offset = 1 + t2_dim1;
t2 -= t2_offset;
t1_dim1 = *lda;
t1_offset = 1 + t1_dim1;
t1 -= t1_offset;
h_dim1 = *lda;
h_offset = 1 + h_dim1;
h__ -= h_offset;
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
uu_dim1 = *ldu;
uu_offset = 1 + uu_dim1;
uu -= uu_offset;
evectx_dim1 = *ldu;
evectx_offset = 1 + evectx_dim1;
evectx -= evectx_offset;
evecty_dim1 = *ldu;
evecty_offset = 1 + evecty_dim1;
evecty -= evecty_offset;
evectr_dim1 = *ldu;
evectr_offset = 1 + evectr_dim1;
evectr -= evectr_offset;
evectl_dim1 = *ldu;
evectl_offset = 1 + evectl_dim1;
evectl -= evectl_offset;
uz_dim1 = *ldu;
uz_offset = 1 + uz_dim1;
uz -= uz_offset;
z_dim1 = *ldu;
z_offset = 1 + z_dim1;
z__ -= z_offset;
u_dim1 = *ldu;
u_offset = 1 + u_dim1;
u -= u_offset;
--w1;
--w3;
--tau;
--work;
--rwork;
--iwork;
--select;
--result;
/* Function Body */
/* .. */
/* .. Executable Statements .. */
/* Check for errors */
ntestt = 0;
*info = 0;
badnn = FALSE_;
nmax = 0;
i__1 = *nsizes;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = nmax, i__3 = nn[j];
nmax = max(i__2,i__3);
if (nn[j] < 0) {
badnn = TRUE_;
}
/* L10: */
}
/* Check for errors */
if (*nsizes < 0) {
*info = -1;
} else if (badnn) {
*info = -2;
} else if (*ntypes < 0) {
*info = -3;
} else if (*thresh < 0.f) {
*info = -6;
} else if (*lda <= 1 || *lda < nmax) {
*info = -9;
} else if (*ldu <= 1 || *ldu < nmax) {
*info = -14;
} else if ((nmax << 2) * nmax + 2 > *nwork) {
*info = -26;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CCHKHS", &i__1);
return 0;
}
/* Quick return if possible */
if (*nsizes == 0 || *ntypes == 0) {
return 0;
}
/* More important constants */
unfl = slamch_("Safe minimum");
ovfl = slamch_("Overflow");
slabad_(&unfl, &ovfl);
ulp = slamch_("Epsilon") * slamch_("Base");
ulpinv = 1.f / ulp;
rtunfl = sqrt(unfl);
rtovfl = sqrt(ovfl);
rtulp = sqrt(ulp);
rtulpi = 1.f / rtulp;
/* Loop over sizes, types */
nerrs = 0;
nmats = 0;
i__1 = *nsizes;
for (jsize = 1; jsize <= i__1; ++jsize) {
n = nn[jsize];
n1 = max(1,n);
aninv = 1.f / (real) n1;
if (*nsizes != 1) {
mtypes = min(21,*ntypes);
} else {
mtypes = min(22,*ntypes);
}
i__2 = mtypes;
for (jtype = 1; jtype <= i__2; ++jtype) {
if (! dotype[jtype]) {
goto L250;
}
++nmats;
ntest = 0;
/* Save ISEED in case of an error. */
for (j = 1; j <= 4; ++j) {
ioldsd[j - 1] = iseed[j];
/* L20: */
}
/* Initialize RESULT */
for (j = 1; j <= 14; ++j) {
result[j] = 0.f;
/* L30: */
}
/* Compute "A" */
/* Control parameters: */
/* KMAGN KCONDS KMODE KTYPE */
/* =1 O(1) 1 clustered 1 zero */
/* =2 large large clustered 2 identity */
/* =3 small exponential Jordan */
/* =4 arithmetic diagonal, (w/ eigenvalues) */
/* =5 random log hermitian, w/ eigenvalues */
/* =6 random general, w/ eigenvalues */
/* =7 random diagonal */
/* =8 random hermitian */
/* =9 random general */
/* =10 random triangular */
if (mtypes > 21) {
goto L100;
}
itype = ktype[jtype - 1];
imode = kmode[jtype - 1];
/* Compute norm */
switch (kmagn[jtype - 1]) {
case 1: goto L40;
case 2: goto L50;
case 3: goto L60;
}
L40:
anorm = 1.f;
goto L70;
L50:
anorm = rtovfl * ulp * aninv;
goto L70;
L60:
anorm = rtunfl * n * ulpinv;
goto L70;
L70:
claset_("Full", lda, &n, &c_b1, &c_b1, &a[a_offset], lda);
iinfo = 0;
cond = ulpinv;
/* Special Matrices */
if (itype == 1) {
/* Zero */
iinfo = 0;
} else if (itype == 2) {
/* Identity */
i__3 = n;
for (jcol = 1; jcol <= i__3; ++jcol) {
i__4 = jcol + jcol * a_dim1;
a[i__4].r = anorm, a[i__4].i = 0.f;
/* L80: */
}
} else if (itype == 3) {
/* Jordan Block */
i__3 = n;
for (jcol = 1; jcol <= i__3; ++jcol) {
i__4 = jcol + jcol * a_dim1;
a[i__4].r = anorm, a[i__4].i = 0.f;
if (jcol > 1) {
i__4 = jcol + (jcol - 1) * a_dim1;
a[i__4].r = 1.f, a[i__4].i = 0.f;
}
/* L90: */
}
} else if (itype == 4) {
/* Diagonal Matrix, [Eigen]values Specified */
clatmr_(&n, &n, "D", &iseed[1], "N", &work[1], &imode, &cond,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b27, &work[(
n << 1) + 1], &c__1, &c_b27, "N", idumma, &c__0, &
c__0, &c_b33, &anorm, "NO", &a[a_offset], lda, &iwork[
1], &iinfo);
} else if (itype == 5) {
/* Hermitian, eigenvalues specified */
clatms_(&n, &n, "D", &iseed[1], "H", &rwork[1], &imode, &cond,
&anorm, &n, &n, "N", &a[a_offset], lda, &work[1], &
iinfo);
} else if (itype == 6) {
/* General, eigenvalues specified */
if (kconds[jtype - 1] == 1) {
conds = 1.f;
} else if (kconds[jtype - 1] == 2) {
conds = rtulpi;
} else {
conds = 0.f;
}
clatme_(&n, "D", &iseed[1], &work[1], &imode, &cond, &c_b2,
" ", "T", "T", "T", &rwork[1], &c__4, &conds, &n, &n,
&anorm, &a[a_offset], lda, &work[n + 1], &iinfo);
} else if (itype == 7) {
/* Diagonal, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "N", &work[1], &c__6, &c_b27,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b27, &work[(
n << 1) + 1], &c__1, &c_b27, "N", idumma, &c__0, &
c__0, &c_b33, &anorm, "NO", &a[a_offset], lda, &iwork[
1], &iinfo);
} else if (itype == 8) {
/* Hermitian, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "H", &work[1], &c__6, &c_b27,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b27, &work[(
n << 1) + 1], &c__1, &c_b27, "N", idumma, &n, &n, &
c_b33, &anorm, "NO", &a[a_offset], lda, &iwork[1], &
iinfo);
} else if (itype == 9) {
/* General, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "N", &work[1], &c__6, &c_b27,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b27, &work[(
n << 1) + 1], &c__1, &c_b27, "N", idumma, &n, &n, &
c_b33, &anorm, "NO", &a[a_offset], lda, &iwork[1], &
iinfo);
} else if (itype == 10) {
/* Triangular, random eigenvalues */
clatmr_(&n, &n, "D", &iseed[1], "N", &work[1], &c__6, &c_b27,
&c_b2, "T", "N", &work[n + 1], &c__1, &c_b27, &work[(
n << 1) + 1], &c__1, &c_b27, "N", idumma, &n, &c__0, &
c_b33, &anorm, "NO", &a[a_offset], lda, &iwork[1], &
iinfo);
} else {
iinfo = 1;
}
if (iinfo != 0) {
io___35.ciunit = *nounit;
s_wsfe(&io___35);
do_fio(&c__1, "Generator", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
return 0;
}
L100:
/* Call CGEHRD to compute H and U, do tests. */
clacpy_(" ", &n, &n, &a[a_offset], lda, &h__[h_offset], lda);
ntest = 1;
ilo = 1;
ihi = n;
i__3 = *nwork - n;
cgehrd_(&n, &ilo, &ihi, &h__[h_offset], lda, &work[1], &work[n +
1], &i__3, &iinfo);
if (iinfo != 0) {
result[1] = ulpinv;
io___38.ciunit = *nounit;
s_wsfe(&io___38);
do_fio(&c__1, "CGEHRD", (ftnlen)6);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
goto L240;
}
i__3 = n - 1;
for (j = 1; j <= i__3; ++j) {
i__4 = j + 1 + j * uu_dim1;
uu[i__4].r = 0.f, uu[i__4].i = 0.f;
i__4 = n;
for (i__ = j + 2; i__ <= i__4; ++i__) {
i__5 = i__ + j * u_dim1;
i__6 = i__ + j * h_dim1;
u[i__5].r = h__[i__6].r, u[i__5].i = h__[i__6].i;
i__5 = i__ + j * uu_dim1;
i__6 = i__ + j * h_dim1;
uu[i__5].r = h__[i__6].r, uu[i__5].i = h__[i__6].i;
i__5 = i__ + j * h_dim1;
h__[i__5].r = 0.f, h__[i__5].i = 0.f;
/* L110: */
}
/* L120: */
}
i__3 = n - 1;
ccopy_(&i__3, &work[1], &c__1, &tau[1], &c__1);
i__3 = *nwork - n;
cunghr_(&n, &ilo, &ihi, &u[u_offset], ldu, &work[1], &work[n + 1],
&i__3, &iinfo);
ntest = 2;
chst01_(&n, &ilo, &ihi, &a[a_offset], lda, &h__[h_offset], lda, &
u[u_offset], ldu, &work[1], nwork, &rwork[1], &result[1]);
/* Call CHSEQR to compute T1, T2 and Z, do tests. */
/* Eigenvalues only (W3) */
clacpy_(" ", &n, &n, &h__[h_offset], lda, &t2[t2_offset], lda);
ntest = 3;
result[3] = ulpinv;
chseqr_("E", "N", &n, &ilo, &ihi, &t2[t2_offset], lda, &w3[1], &
uz[uz_offset], ldu, &work[1], nwork, &iinfo);
if (iinfo != 0) {
io___40.ciunit = *nounit;
s_wsfe(&io___40);
do_fio(&c__1, "CHSEQR(E)", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
if (iinfo <= n + 2) {
*info = abs(iinfo);
goto L240;
}
}
/* Eigenvalues (W1) and Full Schur Form (T2) */
clacpy_(" ", &n, &n, &h__[h_offset], lda, &t2[t2_offset], lda);
chseqr_("S", "N", &n, &ilo, &ihi, &t2[t2_offset], lda, &w1[1], &
uz[uz_offset], ldu, &work[1], nwork, &iinfo);
if (iinfo != 0 && iinfo <= n + 2) {
io___41.ciunit = *nounit;
s_wsfe(&io___41);
do_fio(&c__1, "CHSEQR(S)", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
goto L240;
}
/* Eigenvalues (W1), Schur Form (T1), and Schur Vectors (UZ) */
clacpy_(" ", &n, &n, &h__[h_offset], lda, &t1[t1_offset], lda);
clacpy_(" ", &n, &n, &u[u_offset], ldu, &uz[uz_offset], ldu);
chseqr_("S", "V", &n, &ilo, &ihi, &t1[t1_offset], lda, &w1[1], &
uz[uz_offset], ldu, &work[1], nwork, &iinfo);
if (iinfo != 0 && iinfo <= n + 2) {
io___42.ciunit = *nounit;
s_wsfe(&io___42);
do_fio(&c__1, "CHSEQR(V)", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
goto L240;
}
/* Compute Z = U' UZ */
cgemm_("C", "N", &n, &n, &n, &c_b2, &u[u_offset], ldu, &uz[
uz_offset], ldu, &c_b1, &z__[z_offset], ldu);
ntest = 8;
/* Do Tests 3: | H - Z T Z' | / ( |H| n ulp ) */
/* and 4: | I - Z Z' | / ( n ulp ) */
chst01_(&n, &ilo, &ihi, &h__[h_offset], lda, &t1[t1_offset], lda,
&z__[z_offset], ldu, &work[1], nwork, &rwork[1], &result[
3]);
/* Do Tests 5: | A - UZ T (UZ)' | / ( |A| n ulp ) */
/* and 6: | I - UZ (UZ)' | / ( n ulp ) */
chst01_(&n, &ilo, &ihi, &a[a_offset], lda, &t1[t1_offset], lda, &
uz[uz_offset], ldu, &work[1], nwork, &rwork[1], &result[5]
);
/* Do Test 7: | T2 - T1 | / ( |T| n ulp ) */
cget10_(&n, &n, &t2[t2_offset], lda, &t1[t1_offset], lda, &work[1]
, &rwork[1], &result[7]);
/* Do Test 8: | W3 - W1 | / ( max(|W1|,|W3|) ulp ) */
temp1 = 0.f;
temp2 = 0.f;
i__3 = n;
for (j = 1; j <= i__3; ++j) {
/* Computing MAX */
r__1 = temp1, r__2 = c_abs(&w1[j]), r__1 = max(r__1,r__2),
r__2 = c_abs(&w3[j]);
temp1 = dmax(r__1,r__2);
/* Computing MAX */
i__4 = j;
i__5 = j;
q__1.r = w1[i__4].r - w3[i__5].r, q__1.i = w1[i__4].i - w3[
i__5].i;
r__1 = temp2, r__2 = c_abs(&q__1);
temp2 = dmax(r__1,r__2);
/* L130: */
}
/* Computing MAX */
r__1 = unfl, r__2 = ulp * dmax(temp1,temp2);
result[8] = temp2 / dmax(r__1,r__2);
/* Compute the Left and Right Eigenvectors of T */
/* Compute the Right eigenvector Matrix: */
ntest = 9;
result[9] = ulpinv;
/* Select every other eigenvector */
i__3 = n;
for (j = 1; j <= i__3; ++j) {
select[j] = FALSE_;
/* L140: */
}
i__3 = n;
for (j = 1; j <= i__3; j += 2) {
select[j] = TRUE_;
/* L150: */
}
ctrevc_("Right", "All", &select[1], &n, &t1[t1_offset], lda,
cdumma, ldu, &evectr[evectr_offset], ldu, &n, &in, &work[
1], &rwork[1], &iinfo);
if (iinfo != 0) {
io___47.ciunit = *nounit;
s_wsfe(&io___47);
do_fio(&c__1, "CTREVC(R,A)", (ftnlen)11);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
goto L240;
}
/* Test 9: | TR - RW | / ( |T| |R| ulp ) */
cget22_("N", "N", "N", &n, &t1[t1_offset], lda, &evectr[
evectr_offset], ldu, &w1[1], &work[1], &rwork[1], dumma);
result[9] = dumma[0];
if (dumma[1] > *thresh) {
io___49.ciunit = *nounit;
s_wsfe(&io___49);
do_fio(&c__1, "Right", (ftnlen)5);
do_fio(&c__1, "CTREVC", (ftnlen)6);
do_fio(&c__1, (char *)&dumma[1], (ftnlen)sizeof(real));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
}
/* Compute selected right eigenvectors and confirm that */
/* they agree with previous right eigenvectors */
ctrevc_("Right", "Some", &select[1], &n, &t1[t1_offset], lda,
cdumma, ldu, &evectl[evectl_offset], ldu, &n, &in, &work[
1], &rwork[1], &iinfo);
if (iinfo != 0) {
io___50.ciunit = *nounit;
s_wsfe(&io___50);
do_fio(&c__1, "CTREVC(R,S)", (ftnlen)11);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
goto L240;
}
k = 1;
match = TRUE_;
i__3 = n;
for (j = 1; j <= i__3; ++j) {
if (select[j]) {
i__4 = n;
for (jj = 1; jj <= i__4; ++jj) {
i__5 = jj + j * evectr_dim1;
i__6 = jj + k * evectl_dim1;
if (evectr[i__5].r != evectl[i__6].r || evectr[i__5]
.i != evectl[i__6].i) {
match = FALSE_;
goto L180;
}
/* L160: */
}
++k;
}
/* L170: */
}
L180:
if (! match) {
io___54.ciunit = *nounit;
s_wsfe(&io___54);
do_fio(&c__1, "Right", (ftnlen)5);
do_fio(&c__1, "CTREVC", (ftnlen)6);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
}
/* Compute the Left eigenvector Matrix: */
ntest = 10;
result[10] = ulpinv;
ctrevc_("Left", "All", &select[1], &n, &t1[t1_offset], lda, &
evectl[evectl_offset], ldu, cdumma, ldu, &n, &in, &work[1]
, &rwork[1], &iinfo);
if (iinfo != 0) {
io___55.ciunit = *nounit;
s_wsfe(&io___55);
do_fio(&c__1, "CTREVC(L,A)", (ftnlen)11);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
goto L240;
}
/* Test 10: | LT - WL | / ( |T| |L| ulp ) */
cget22_("C", "N", "C", &n, &t1[t1_offset], lda, &evectl[
evectl_offset], ldu, &w1[1], &work[1], &rwork[1], &dumma[
2]);
result[10] = dumma[2];
if (dumma[3] > *thresh) {
io___56.ciunit = *nounit;
s_wsfe(&io___56);
do_fio(&c__1, "Left", (ftnlen)4);
do_fio(&c__1, "CTREVC", (ftnlen)6);
do_fio(&c__1, (char *)&dumma[3], (ftnlen)sizeof(real));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
}
/* Compute selected left eigenvectors and confirm that */
/* they agree with previous left eigenvectors */
ctrevc_("Left", "Some", &select[1], &n, &t1[t1_offset], lda, &
evectr[evectr_offset], ldu, cdumma, ldu, &n, &in, &work[1]
, &rwork[1], &iinfo);
if (iinfo != 0) {
io___57.ciunit = *nounit;
s_wsfe(&io___57);
do_fio(&c__1, "CTREVC(L,S)", (ftnlen)11);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
goto L240;
}
k = 1;
match = TRUE_;
i__3 = n;
for (j = 1; j <= i__3; ++j) {
if (select[j]) {
i__4 = n;
for (jj = 1; jj <= i__4; ++jj) {
i__5 = jj + j * evectl_dim1;
i__6 = jj + k * evectr_dim1;
if (evectl[i__5].r != evectr[i__6].r || evectl[i__5]
.i != evectr[i__6].i) {
match = FALSE_;
goto L210;
}
/* L190: */
}
++k;
}
/* L200: */
}
L210:
if (! match) {
io___58.ciunit = *nounit;
s_wsfe(&io___58);
do_fio(&c__1, "Left", (ftnlen)4);
do_fio(&c__1, "CTREVC", (ftnlen)6);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
}
/* Call CHSEIN for Right eigenvectors of H, do test 11 */
ntest = 11;
result[11] = ulpinv;
i__3 = n;
for (j = 1; j <= i__3; ++j) {
select[j] = TRUE_;
/* L220: */
}
chsein_("Right", "Qr", "Ninitv", &select[1], &n, &h__[h_offset],
lda, &w3[1], cdumma, ldu, &evectx[evectx_offset], ldu, &
n1, &in, &work[1], &rwork[1], &iwork[1], &iwork[1], &
iinfo);
if (iinfo != 0) {
io___59.ciunit = *nounit;
s_wsfe(&io___59);
do_fio(&c__1, "CHSEIN(R)", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
if (iinfo < 0) {
goto L240;
}
} else {
/* Test 11: | HX - XW | / ( |H| |X| ulp ) */
/* (from inverse iteration) */
cget22_("N", "N", "N", &n, &h__[h_offset], lda, &evectx[
evectx_offset], ldu, &w3[1], &work[1], &rwork[1],
dumma);
if (dumma[0] < ulpinv) {
result[11] = dumma[0] * aninv;
}
if (dumma[1] > *thresh) {
io___60.ciunit = *nounit;
s_wsfe(&io___60);
do_fio(&c__1, "Right", (ftnlen)5);
do_fio(&c__1, "CHSEIN", (ftnlen)6);
do_fio(&c__1, (char *)&dumma[1], (ftnlen)sizeof(real));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
;
e_wsfe();
}
}
/* Call CHSEIN for Left eigenvectors of H, do test 12 */
ntest = 12;
result[12] = ulpinv;
i__3 = n;
for (j = 1; j <= i__3; ++j) {
select[j] = TRUE_;
/* L230: */
}
chsein_("Left", "Qr", "Ninitv", &select[1], &n, &h__[h_offset],
lda, &w3[1], &evecty[evecty_offset], ldu, cdumma, ldu, &
n1, &in, &work[1], &rwork[1], &iwork[1], &iwork[1], &
iinfo);
if (iinfo != 0) {
io___61.ciunit = *nounit;
s_wsfe(&io___61);
do_fio(&c__1, "CHSEIN(L)", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
if (iinfo < 0) {
goto L240;
}
} else {
/* Test 12: | YH - WY | / ( |H| |Y| ulp ) */
/* (from inverse iteration) */
cget22_("C", "N", "C", &n, &h__[h_offset], lda, &evecty[
evecty_offset], ldu, &w3[1], &work[1], &rwork[1], &
dumma[2]);
if (dumma[2] < ulpinv) {
result[12] = dumma[2] * aninv;
}
if (dumma[3] > *thresh) {
io___62.ciunit = *nounit;
s_wsfe(&io___62);
do_fio(&c__1, "Left", (ftnlen)4);
do_fio(&c__1, "CHSEIN", (ftnlen)6);
do_fio(&c__1, (char *)&dumma[3], (ftnlen)sizeof(real));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
;
e_wsfe();
}
}
/* Call CUNMHR for Right eigenvectors of A, do test 13 */
ntest = 13;
result[13] = ulpinv;
cunmhr_("Left", "No transpose", &n, &n, &ilo, &ihi, &uu[uu_offset]
, ldu, &tau[1], &evectx[evectx_offset], ldu, &work[1],
nwork, &iinfo);
if (iinfo != 0) {
io___63.ciunit = *nounit;
s_wsfe(&io___63);
do_fio(&c__1, "CUNMHR(L)", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
if (iinfo < 0) {
goto L240;
}
} else {
/* Test 13: | AX - XW | / ( |A| |X| ulp ) */
/* (from inverse iteration) */
cget22_("N", "N", "N", &n, &a[a_offset], lda, &evectx[
evectx_offset], ldu, &w3[1], &work[1], &rwork[1],
dumma);
if (dumma[0] < ulpinv) {
result[13] = dumma[0] * aninv;
}
}
/* Call CUNMHR for Left eigenvectors of A, do test 14 */
ntest = 14;
result[14] = ulpinv;
cunmhr_("Left", "No transpose", &n, &n, &ilo, &ihi, &uu[uu_offset]
, ldu, &tau[1], &evecty[evecty_offset], ldu, &work[1],
nwork, &iinfo);
if (iinfo != 0) {
io___64.ciunit = *nounit;
s_wsfe(&io___64);
do_fio(&c__1, "CUNMHR(L)", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
if (iinfo < 0) {
goto L240;
}
} else {
/* Test 14: | YA - WY | / ( |A| |Y| ulp ) */
/* (from inverse iteration) */
cget22_("C", "N", "C", &n, &a[a_offset], lda, &evecty[
evecty_offset], ldu, &w3[1], &work[1], &rwork[1], &
dumma[2]);
if (dumma[2] < ulpinv) {
result[14] = dumma[2] * aninv;
}
}
/* End of Loop -- Check for RESULT(j) > THRESH */
L240:
ntestt += ntest;
slafts_("CHS", &n, &n, &jtype, &ntest, &result[1], ioldsd, thresh,
nounit, &nerrs);
L250:
;
}
/* L260: */
}
/* Summary */
slasum_("CHS", nounit, &nerrs, &ntestt);
return 0;
/* End of CCHKHS */
} /* cchkhs_ */
/* Subroutine */ int cchkhb_(integer *nsizes, integer *nn, integer *nwdths,
integer *kk, integer *ntypes, logical *dotype, integer *iseed, real *
thresh, integer *nounit, complex *a, integer *lda, real *sd, real *se,
complex *u, integer *ldu, complex *work, integer *lwork, real *rwork,
real *result, integer *info)
{
/* Initialized data */
static integer ktype[15] = { 1,2,4,4,4,4,4,5,5,5,5,5,8,8,8 };
static integer kmagn[15] = { 1,1,1,1,1,2,3,1,1,1,2,3,1,2,3 };
static integer kmode[15] = { 0,0,4,3,1,4,4,4,3,1,4,4,0,0,0 };
/* Format strings */
static char fmt_9999[] = "(\002 CCHKHB: \002,a,\002 returned INFO=\002,i"
"6,\002.\002,/9x,\002N=\002,i6,\002, JTYPE=\002,i6,\002, ISEED="
"(\002,3(i5,\002,\002),i5,\002)\002)";
static char fmt_9998[] = "(/1x,a3,\002 -- Complex Hermitian Banded Tridi"
"agonal Reduction Routines\002)";
static char fmt_9997[] = "(\002 Matrix types (see SCHK23 for details):"
" \002)";
static char fmt_9996[] = "(/\002 Special Matrices:\002,/\002 1=Zero mat"
"rix. \002,\002 5=Diagonal: clustered ent"
"ries.\002,/\002 2=Identity matrix. \002,\002"
" 6=Diagonal: large, evenly spaced.\002,/\002 3=Diagonal: evenl"
"y spaced entries. \002,\002 7=Diagonal: small, evenly spaced."
"\002,/\002 4=Diagonal: geometr. spaced entries.\002)";
static char fmt_9995[] = "(\002 Dense \002,a,\002 Banded Matrices:\002,"
"/\002 8=Evenly spaced eigenvals. \002,\002 12=Small,"
" evenly spaced eigenvals.\002,/\002 9=Geometrically spaced eige"
"nvals. \002,\002 13=Matrix with random O(1) entries.\002,"
"/\002 10=Clustered eigenvalues. \002,\002 14=Matrix"
" with large random entries.\002,/\002 11=Large, evenly spaced ei"
"genvals. \002,\002 15=Matrix with small random entries.\002)";
static char fmt_9994[] = "(/\002 Tests performed: (S is Tridiag, U "
"is \002,a,\002,\002,/20x,a,\002 means \002,a,\002.\002,/\002 UPL"
"O='U':\002,/\002 1= | A - U S U\002,a1,\002 | / ( |A| n ulp ) "
" \002,\002 2= | I - U U\002,a1,\002 | / ( n ulp )\002,/\002 U"
"PLO='L':\002,/\002 3= | A - U S U\002,a1,\002 | / ( |A| n ulp )"
" \002,\002 4= | I - U U\002,a1,\002 | / ( n ulp )\002)";
static char fmt_9993[] = "(\002 N=\002,i5,\002, K=\002,i4,\002, seed="
"\002,4(i4,\002,\002),\002 type \002,i2,\002, test(\002,i2,\002)"
"=\002,g10.3)";
/* System generated locals */
integer a_dim1, a_offset, u_dim1, u_offset, i__1, i__2, i__3, i__4, i__5,
i__6, i__7;
real r__1;
complex q__1;
/* Local variables */
integer i__, j, k, n, jc, jr;
real ulp, cond;
integer jcol, kmax, nmax;
real unfl, ovfl, temp1;
logical badnn;
extern /* Subroutine */ int chbt21_(char *, integer *, integer *, integer
*, complex *, integer *, real *, real *, complex *, integer *,
complex *, real *, real *);
integer imode, iinfo;
real aninv, anorm;
integer nmats, jsize, nerrs, itype, jtype, ntest;
logical badnnb;
extern /* Subroutine */ int chbtrd_(char *, char *, integer *, integer *,
complex *, integer *, real *, real *, complex *, integer *,
complex *, integer *);
extern doublereal slamch_(char *);
extern /* Subroutine */ int clacpy_(char *, integer *, integer *, complex
*, integer *, complex *, integer *);
integer idumma[1];
extern /* Subroutine */ int claset_(char *, integer *, integer *, complex
*, complex *, complex *, integer *);
integer ioldsd[4];
extern /* Subroutine */ int xerbla_(char *, integer *), clatmr_(
integer *, integer *, char *, integer *, char *, complex *,
integer *, real *, complex *, char *, char *, complex *, integer *
, real *, complex *, integer *, real *, char *, integer *,
integer *, integer *, real *, real *, char *, complex *, integer *
, integer *, integer *), clatms_(integer *, integer *, char *, integer *, char *,
real *, integer *, real *, real *, integer *, integer *, char *,
complex *, integer *, complex *, integer *);
integer jwidth;
extern /* Subroutine */ int slasum_(char *, integer *, integer *, integer
*);
real rtunfl, rtovfl, ulpinv;
integer mtypes, ntestt;
/* Fortran I/O blocks */
static cilist io___36 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___37 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___40 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___41 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___42 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___43 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___44 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___45 = { 0, 0, 0, fmt_9994, 0 };
static cilist io___46 = { 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 .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CCHKHB tests the reduction of a Hermitian band matrix to tridiagonal */
/* from, used with the Hermitian eigenvalue problem. */
/* CHBTRD factors a Hermitian band matrix A as U S U* , where * means */
/* conjugate transpose, S is symmetric tridiagonal, and U is unitary. */
/* CHBTRD can use either just the lower or just the upper triangle */
/* of A; CCHKHB checks both cases. */
/* When CCHKHB is called, a number of matrix "sizes" ("n's"), a number */
/* of bandwidths ("k's"), and a number of matrix "types" are */
/* specified. For each size ("n"), each bandwidth ("k") less than or */
/* equal to "n", and each type of matrix, one matrix will be generated */
/* and used to test the hermitian banded reduction routine. For each */
/* matrix, a number of tests will be performed: */
/* (1) | A - V S V* | / ( |A| n ulp ) computed by CHBTRD with */
/* UPLO='U' */
/* (2) | I - UU* | / ( n ulp ) */
/* (3) | A - V S V* | / ( |A| n ulp ) computed by CHBTRD with */
/* UPLO='L' */
/* (4) | I - UU* | / ( n ulp ) */
/* The "sizes" are specified by an array NN(1:NSIZES); the value of */
/* each element NN(j) specifies one size. */
/* The "types" are specified by a logical array DOTYPE( 1:NTYPES ); */
/* if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. */
/* Currently, the list of possible types is: */
/* (1) The zero matrix. */
/* (2) The identity matrix. */
/* (3) A diagonal matrix with evenly spaced entries */
/* 1, ..., ULP and random signs. */
/* (ULP = (first number larger than 1) - 1 ) */
/* (4) A diagonal matrix with geometrically spaced entries */
/* 1, ..., ULP and random signs. */
/* (5) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP */
/* and random signs. */
/* (6) Same as (4), but multiplied by SQRT( overflow threshold ) */
/* (7) Same as (4), but multiplied by SQRT( underflow threshold ) */
/* (8) A matrix of the form U* D U, where U is unitary and */
/* D has evenly spaced entries 1, ..., ULP with random signs */
/* on the diagonal. */
/* (9) A matrix of the form U* D U, where U is unitary and */
/* D has geometrically spaced entries 1, ..., ULP with random */
/* signs on the diagonal. */
/* (10) A matrix of the form U* D U, where U is unitary and */
/* D has "clustered" entries 1, ULP,..., ULP with random */
/* signs on the diagonal. */
/* (11) Same as (8), but multiplied by SQRT( overflow threshold ) */
/* (12) Same as (8), but multiplied by SQRT( underflow threshold ) */
/* (13) Hermitian matrix with random entries chosen from (-1,1). */
/* (14) Same as (13), but multiplied by SQRT( overflow threshold ) */
/* (15) Same as (13), but multiplied by SQRT( underflow threshold ) */
/* Arguments */
/* ========= */
/* NSIZES (input) INTEGER */
/* The number of sizes of matrices to use. If it is zero, */
/* CCHKHB does nothing. It must be at least zero. */
/* NN (input) INTEGER array, dimension (NSIZES) */
/* An array containing the sizes to be used for the matrices. */
/* Zero values will be skipped. The values must be at least */
/* zero. */
/* NWDTHS (input) INTEGER */
/* The number of bandwidths to use. If it is zero, */
/* CCHKHB does nothing. It must be at least zero. */
/* KK (input) INTEGER array, dimension (NWDTHS) */
/* An array containing the bandwidths to be used for the band */
/* matrices. The values must be at least zero. */
/* NTYPES (input) INTEGER */
/* The number of elements in DOTYPE. If it is zero, CCHKHB */
/* does nothing. It must be at least zero. If it is MAXTYP+1 */
/* and NSIZES is 1, then an additional type, MAXTYP+1 is */
/* defined, which is to use whatever matrix is in A. This */
/* is only useful if DOTYPE(1:MAXTYP) is .FALSE. and */
/* DOTYPE(MAXTYP+1) is .TRUE. . */
/* DOTYPE (input) LOGICAL array, dimension (NTYPES) */
/* If DOTYPE(j) is .TRUE., then for each size in NN a */
/* matrix of that size and of type j will be generated. */
/* If NTYPES is smaller than the maximum number of types */
/* defined (PARAMETER MAXTYP), then types NTYPES+1 through */
/* MAXTYP will not be generated. If NTYPES is larger */
/* than MAXTYP, DOTYPE(MAXTYP+1) through DOTYPE(NTYPES) */
/* will be ignored. */
/* ISEED (input/output) INTEGER array, dimension (4) */
/* On entry ISEED specifies the seed of the random number */
/* generator. The array elements should be between 0 and 4095; */
/* if not they will be reduced mod 4096. Also, ISEED(4) must */
/* be odd. The random number generator uses a linear */
/* congruential sequence limited to small integers, and so */
/* should produce machine independent random numbers. The */
/* values of ISEED are changed on exit, and can be used in the */
/* next call to CCHKHB to continue the same random number */
/* sequence. */
/* THRESH (input) REAL */
/* A test will count as "failed" if the "error", computed as */
/* described above, exceeds THRESH. Note that the error */
/* is scaled to be O(1), so THRESH should be a reasonably */
/* small multiple of 1, e.g., 10 or 100. In particular, */
/* it should not depend on the precision (single vs. double) */
/* or the size of the matrix. It must be at least zero. */
/* NOUNIT (input) INTEGER */
/* The FORTRAN unit number for printing out error messages */
/* (e.g., if a routine returns IINFO not equal to 0.) */
/* A (input/workspace) REAL array, dimension */
/* (LDA, max(NN)) */
/* Used to hold the matrix whose eigenvalues are to be */
/* computed. */
/* LDA (input) INTEGER */
/* The leading dimension of A. It must be at least 2 (not 1!) */
/* and at least max( KK )+1. */
/* SD (workspace) REAL array, dimension (max(NN)) */
/* Used to hold the diagonal of the tridiagonal matrix computed */
/* by CHBTRD. */
/* SE (workspace) REAL array, dimension (max(NN)) */
/* Used to hold the off-diagonal of the tridiagonal matrix */
/* computed by CHBTRD. */
/* U (workspace) REAL array, dimension (LDU, max(NN)) */
/* Used to hold the unitary matrix computed by CHBTRD. */
/* LDU (input) INTEGER */
/* The leading dimension of U. It must be at least 1 */
/* and at least max( NN ). */
/* WORK (workspace) REAL array, dimension (LWORK) */
/* LWORK (input) INTEGER */
/* The number of entries in WORK. This must be at least */
/* max( LDA+1, max(NN)+1 )*max(NN). */
/* RESULT (output) REAL array, dimension (4) */
/* The values computed by the tests described above. */
/* The values are currently limited to 1/ulp, to avoid */
/* overflow. */
/* INFO (output) INTEGER */
/* If 0, then everything ran OK. */
/* ----------------------------------------------------------------------- */
/* Some Local Variables and Parameters: */
/* ---- ----- --------- --- ---------- */
/* ZERO, ONE Real 0 and 1. */
/* MAXTYP The number of types defined. */
/* NTEST The number of tests performed, or which can */
/* be performed so far, for the current matrix. */
/* NTESTT The total number of tests performed so far. */
/* NMAX Largest value in NN. */
/* NMATS The number of matrices generated so far. */
/* NERRS The number of tests which have exceeded THRESH */
/* so far. */
/* COND, IMODE Values to be passed to the matrix generators. */
/* ANORM Norm of A; passed to matrix generators. */
/* OVFL, UNFL Overflow and underflow thresholds. */
/* ULP, ULPINV Finest relative precision and its inverse. */
/* RTOVFL, RTUNFL Square roots of the previous 2 values. */
/* The following four arrays decode JTYPE: */
/* KTYPE(j) The general type (1-10) for type "j". */
/* KMODE(j) The MODE value to be passed to the matrix */
/* generator for type "j". */
/* KMAGN(j) The order of magnitude ( O(1), */
/* O(overflow^(1/2) ), O(underflow^(1/2) ) */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Data statements .. */
/* Parameter adjustments */
--nn;
--kk;
--dotype;
--iseed;
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--sd;
--se;
u_dim1 = *ldu;
u_offset = 1 + u_dim1;
u -= u_offset;
--work;
--rwork;
--result;
/* Function Body */
/* .. */
/* .. Executable Statements .. */
/* Check for errors */
ntestt = 0;
*info = 0;
/* Important constants */
badnn = FALSE_;
nmax = 1;
i__1 = *nsizes;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = nmax, i__3 = nn[j];
nmax = max(i__2,i__3);
if (nn[j] < 0) {
badnn = TRUE_;
}
/* L10: */
}
badnnb = FALSE_;
kmax = 0;
i__1 = *nsizes;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = kmax, i__3 = kk[j];
kmax = max(i__2,i__3);
if (kk[j] < 0) {
badnnb = TRUE_;
}
/* L20: */
}
/* Computing MIN */
i__1 = nmax - 1;
kmax = min(i__1,kmax);
/* Check for errors */
if (*nsizes < 0) {
*info = -1;
} else if (badnn) {
*info = -2;
} else if (*nwdths < 0) {
*info = -3;
} else if (badnnb) {
*info = -4;
} else if (*ntypes < 0) {
*info = -5;
} else if (*lda < kmax + 1) {
*info = -11;
} else if (*ldu < nmax) {
*info = -15;
} else if ((max(*lda,nmax) + 1) * nmax > *lwork) {
*info = -17;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CCHKHB", &i__1);
return 0;
}
/* Quick return if possible */
if (*nsizes == 0 || *ntypes == 0 || *nwdths == 0) {
return 0;
}
/* More Important constants */
unfl = slamch_("Safe minimum");
ovfl = 1.f / unfl;
ulp = slamch_("Epsilon") * slamch_("Base");
ulpinv = 1.f / ulp;
rtunfl = sqrt(unfl);
rtovfl = sqrt(ovfl);
/* Loop over sizes, types */
nerrs = 0;
nmats = 0;
i__1 = *nsizes;
for (jsize = 1; jsize <= i__1; ++jsize) {
n = nn[jsize];
aninv = 1.f / (real) max(1,n);
i__2 = *nwdths;
for (jwidth = 1; jwidth <= i__2; ++jwidth) {
k = kk[jwidth];
if (k > n) {
goto L180;
}
/* Computing MAX */
/* Computing MIN */
i__5 = n - 1;
i__3 = 0, i__4 = min(i__5,k);
k = max(i__3,i__4);
if (*nsizes != 1) {
mtypes = min(15,*ntypes);
} else {
mtypes = min(16,*ntypes);
}
i__3 = mtypes;
for (jtype = 1; jtype <= i__3; ++jtype) {
if (! dotype[jtype]) {
goto L170;
}
++nmats;
ntest = 0;
for (j = 1; j <= 4; ++j) {
ioldsd[j - 1] = iseed[j];
/* L30: */
}
/* Compute "A". */
/* Store as "Upper"; later, we will copy to other format. */
/* Control parameters: */
/* KMAGN KMODE KTYPE */
/* =1 O(1) clustered 1 zero */
/* =2 large clustered 2 identity */
/* =3 small exponential (none) */
/* =4 arithmetic diagonal, (w/ eigenvalues) */
/* =5 random log hermitian, w/ eigenvalues */
/* =6 random (none) */
/* =7 random diagonal */
/* =8 random hermitian */
/* =9 positive definite */
/* =10 diagonally dominant tridiagonal */
if (mtypes > 15) {
goto L100;
}
itype = ktype[jtype - 1];
imode = kmode[jtype - 1];
/* Compute norm */
switch (kmagn[jtype - 1]) {
case 1: goto L40;
case 2: goto L50;
case 3: goto L60;
}
L40:
anorm = 1.f;
goto L70;
L50:
anorm = rtovfl * ulp * aninv;
goto L70;
L60:
anorm = rtunfl * n * ulpinv;
goto L70;
L70:
claset_("Full", lda, &n, &c_b1, &c_b1, &a[a_offset], lda);
iinfo = 0;
if (jtype <= 15) {
cond = ulpinv;
} else {
cond = ulpinv * aninv / 10.f;
}
/* Special Matrices -- Identity & Jordan block */
/* Zero */
if (itype == 1) {
iinfo = 0;
} else if (itype == 2) {
/* Identity */
i__4 = n;
for (jcol = 1; jcol <= i__4; ++jcol) {
i__5 = k + 1 + jcol * a_dim1;
a[i__5].r = anorm, a[i__5].i = 0.f;
/* L80: */
}
} else if (itype == 4) {
/* Diagonal Matrix, [Eigen]values Specified */
clatms_(&n, &n, "S", &iseed[1], "H", &rwork[1], &imode, &
cond, &anorm, &c__0, &c__0, "Q", &a[k + 1 +
a_dim1], lda, &work[1], &iinfo);
} else if (itype == 5) {
/* Hermitian, eigenvalues specified */
clatms_(&n, &n, "S", &iseed[1], "H", &rwork[1], &imode, &
cond, &anorm, &k, &k, "Q", &a[a_offset], lda, &
work[1], &iinfo);
} else if (itype == 7) {
/* Diagonal, random eigenvalues */
clatmr_(&n, &n, "S", &iseed[1], "H", &work[1], &c__6, &
c_b32, &c_b2, "T", "N", &work[n + 1], &c__1, &
c_b32, &work[(n << 1) + 1], &c__1, &c_b32, "N",
idumma, &c__0, &c__0, &c_b42, &anorm, "Q", &a[k +
1 + a_dim1], lda, idumma, &iinfo);
} else if (itype == 8) {
/* Hermitian, random eigenvalues */
clatmr_(&n, &n, "S", &iseed[1], "H", &work[1], &c__6, &
c_b32, &c_b2, "T", "N", &work[n + 1], &c__1, &
c_b32, &work[(n << 1) + 1], &c__1, &c_b32, "N",
idumma, &k, &k, &c_b42, &anorm, "Q", &a[a_offset],
lda, idumma, &iinfo);
} else if (itype == 9) {
/* Positive definite, eigenvalues specified. */
clatms_(&n, &n, "S", &iseed[1], "P", &rwork[1], &imode, &
cond, &anorm, &k, &k, "Q", &a[a_offset], lda, &
work[n + 1], &iinfo);
} else if (itype == 10) {
/* Positive definite tridiagonal, eigenvalues specified. */
if (n > 1) {
k = max(1,k);
}
clatms_(&n, &n, "S", &iseed[1], "P", &rwork[1], &imode, &
cond, &anorm, &c__1, &c__1, "Q", &a[k + a_dim1],
lda, &work[1], &iinfo);
i__4 = n;
for (i__ = 2; i__ <= i__4; ++i__) {
i__5 = k + 1 + (i__ - 1) * a_dim1;
i__6 = k + 1 + i__ * a_dim1;
q__1.r = a[i__5].r * a[i__6].r - a[i__5].i * a[i__6]
.i, q__1.i = a[i__5].r * a[i__6].i + a[i__5]
.i * a[i__6].r;
temp1 = c_abs(&a[k + i__ * a_dim1]) / sqrt(c_abs(&
q__1));
if (temp1 > .5f) {
i__5 = k + i__ * a_dim1;
i__6 = k + 1 + (i__ - 1) * a_dim1;
i__7 = k + 1 + i__ * a_dim1;
q__1.r = a[i__6].r * a[i__7].r - a[i__6].i * a[
i__7].i, q__1.i = a[i__6].r * a[i__7].i +
a[i__6].i * a[i__7].r;
r__1 = sqrt(c_abs(&q__1)) * .5f;
a[i__5].r = r__1, a[i__5].i = 0.f;
}
/* L90: */
}
} else {
iinfo = 1;
}
if (iinfo != 0) {
io___36.ciunit = *nounit;
s_wsfe(&io___36);
do_fio(&c__1, "Generator", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
;
e_wsfe();
*info = abs(iinfo);
return 0;
}
L100:
/* Call CHBTRD to compute S and U from upper triangle. */
i__4 = k + 1;
clacpy_(" ", &i__4, &n, &a[a_offset], lda, &work[1], lda);
ntest = 1;
chbtrd_("V", "U", &n, &k, &work[1], lda, &sd[1], &se[1], &u[
u_offset], ldu, &work[*lda * n + 1], &iinfo);
if (iinfo != 0) {
io___37.ciunit = *nounit;
s_wsfe(&io___37);
do_fio(&c__1, "CHBTRD(U)", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
;
e_wsfe();
*info = abs(iinfo);
if (iinfo < 0) {
return 0;
} else {
result[1] = ulpinv;
goto L150;
}
}
/* Do tests 1 and 2 */
chbt21_("Upper", &n, &k, &c__1, &a[a_offset], lda, &sd[1], &
se[1], &u[u_offset], ldu, &work[1], &rwork[1], &
result[1]);
/* Convert A from Upper-Triangle-Only storage to */
/* Lower-Triangle-Only storage. */
i__4 = n;
for (jc = 1; jc <= i__4; ++jc) {
/* Computing MIN */
i__6 = k, i__7 = n - jc;
i__5 = min(i__6,i__7);
for (jr = 0; jr <= i__5; ++jr) {
i__6 = jr + 1 + jc * a_dim1;
r_cnjg(&q__1, &a[k + 1 - jr + (jc + jr) * a_dim1]);
a[i__6].r = q__1.r, a[i__6].i = q__1.i;
/* L110: */
}
/* L120: */
}
i__4 = n;
for (jc = n + 1 - k; jc <= i__4; ++jc) {
/* Computing MIN */
i__5 = k, i__6 = n - jc;
i__7 = k;
for (jr = min(i__5,i__6) + 1; jr <= i__7; ++jr) {
i__5 = jr + 1 + jc * a_dim1;
a[i__5].r = 0.f, a[i__5].i = 0.f;
/* L130: */
}
/* L140: */
}
/* Call CHBTRD to compute S and U from lower triangle */
i__4 = k + 1;
clacpy_(" ", &i__4, &n, &a[a_offset], lda, &work[1], lda);
ntest = 3;
chbtrd_("V", "L", &n, &k, &work[1], lda, &sd[1], &se[1], &u[
u_offset], ldu, &work[*lda * n + 1], &iinfo);
if (iinfo != 0) {
io___40.ciunit = *nounit;
s_wsfe(&io___40);
do_fio(&c__1, "CHBTRD(L)", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
;
e_wsfe();
*info = abs(iinfo);
if (iinfo < 0) {
return 0;
} else {
result[3] = ulpinv;
goto L150;
}
}
ntest = 4;
/* Do tests 3 and 4 */
chbt21_("Lower", &n, &k, &c__1, &a[a_offset], lda, &sd[1], &
se[1], &u[u_offset], ldu, &work[1], &rwork[1], &
result[3]);
/* End of Loop -- Check for RESULT(j) > THRESH */
L150:
ntestt += ntest;
/* Print out tests which fail. */
i__4 = ntest;
for (jr = 1; jr <= i__4; ++jr) {
if (result[jr] >= *thresh) {
/* If this is the first test to fail, */
/* print a header to the data file. */
if (nerrs == 0) {
io___41.ciunit = *nounit;
s_wsfe(&io___41);
do_fio(&c__1, "CHB", (ftnlen)3);
e_wsfe();
io___42.ciunit = *nounit;
s_wsfe(&io___42);
e_wsfe();
io___43.ciunit = *nounit;
s_wsfe(&io___43);
e_wsfe();
io___44.ciunit = *nounit;
s_wsfe(&io___44);
do_fio(&c__1, "Hermitian", (ftnlen)9);
e_wsfe();
io___45.ciunit = *nounit;
s_wsfe(&io___45);
do_fio(&c__1, "unitary", (ftnlen)7);
do_fio(&c__1, "*", (ftnlen)1);
do_fio(&c__1, "conjugate transpose", (ftnlen)19);
for (j = 1; j <= 4; ++j) {
do_fio(&c__1, "*", (ftnlen)1);
}
e_wsfe();
}
++nerrs;
io___46.ciunit = *nounit;
s_wsfe(&io___46);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&k, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
;
do_fio(&c__1, (char *)&jr, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[jr], (ftnlen)sizeof(
real));
e_wsfe();
}
/* L160: */
}
L170:
;
}
L180:
;
}
/* L190: */
}
/* Summary */
slasum_("CHB", nounit, &nerrs, &ntestt);
return 0;
/* End of CCHKHB */
} /* cchkhb_ */
/* Subroutine */ int cchkbb_(integer *nsizes, integer *mval, integer *nval,
integer *nwdths, integer *kk, integer *ntypes, logical *dotype,
integer *nrhs, integer *iseed, real *thresh, integer *nounit, complex
*a, integer *lda, complex *ab, integer *ldab, real *bd, real *be,
complex *q, integer *ldq, complex *p, integer *ldp, complex *c__,
integer *ldc, complex *cc, complex *work, integer *lwork, real *rwork,
real *result, integer *info)
{
/* Initialized data */
static integer ktype[15] = { 1,2,4,4,4,4,4,6,6,6,6,6,9,9,9 };
static integer kmagn[15] = { 1,1,1,1,1,2,3,1,1,1,2,3,1,2,3 };
static integer kmode[15] = { 0,0,4,3,1,4,4,4,3,1,4,4,0,0,0 };
/* Format strings */
static char fmt_9999[] = "(\002 CCHKBB: \002,a,\002 returned INFO=\002,i"
"5,\002.\002,/9x,\002M=\002,i5,\002 N=\002,i5,\002 K=\002,i5,\002"
", JTYPE=\002,i5,\002, ISEED=(\002,3(i5,\002,\002),i5,\002)\002)";
static char fmt_9998[] = "(\002 M =\002,i4,\002 N=\002,i4,\002, K=\002,i"
"3,\002, seed=\002,4(i4,\002,\002),\002 type \002,i2,\002, test"
"(\002,i2,\002)=\002,g10.3)";
/* System generated locals */
integer a_dim1, a_offset, ab_dim1, ab_offset, c_dim1, c_offset, cc_dim1,
cc_offset, p_dim1, p_offset, q_dim1, q_offset, i__1, i__2, i__3,
i__4, i__5, i__6, i__7, i__8, i__9;
/* Local variables */
integer i__, j, k, m, n, kl, jr, ku;
real ulp, cond;
integer jcol, kmax, mmax, nmax;
real unfl, ovfl;
extern /* Subroutine */ int cbdt01_(integer *, integer *, integer *,
complex *, integer *, complex *, integer *, real *, real *,
complex *, integer *, complex *, real *, real *), cbdt02_(integer
*, integer *, complex *, integer *, complex *, integer *, complex
*, integer *, complex *, real *, real *);
logical badmm, badnn;
integer imode, iinfo;
extern /* Subroutine */ int cunt01_(char *, integer *, integer *, complex
*, integer *, complex *, integer *, real *, real *);
real anorm;
integer mnmin, mnmax, nmats, jsize, nerrs, itype, jtype, ntest;
extern /* Subroutine */ int slahd2_(integer *, char *), cgbbrd_(
char *, integer *, integer *, integer *, integer *, integer *,
complex *, integer *, real *, real *, complex *, integer *,
complex *, integer *, complex *, integer *, complex *, real *,
integer *);
logical badnnb;
extern doublereal slamch_(char *);
extern /* Subroutine */ int clacpy_(char *, integer *, integer *, complex
*, integer *, complex *, integer *);
integer idumma[1];
extern /* Subroutine */ int claset_(char *, integer *, integer *, complex
*, complex *, complex *, integer *);
integer ioldsd[4];
extern /* Subroutine */ int xerbla_(char *, integer *), clatmr_(
integer *, integer *, char *, integer *, char *, complex *,
integer *, real *, complex *, char *, char *, complex *, integer *
, real *, complex *, integer *, real *, char *, integer *,
integer *, integer *, real *, real *, char *, complex *, integer *
, integer *, integer *), clatms_(integer *, integer *, char *, integer *, char *,
real *, integer *, real *, real *, integer *, integer *, char *,
complex *, integer *, complex *, integer *);
real amninv;
integer jwidth;
extern /* Subroutine */ int slasum_(char *, integer *, integer *, integer
*);
real rtunfl, rtovfl, ulpinv;
integer mtypes, ntestt;
/* Fortran I/O blocks */
static cilist io___41 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___43 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___45 = { 0, 0, 0, fmt_9998, 0 };
/* -- LAPACK test routine (new routine for release 2.0) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* CCHKBB tests the reduction of a general complex rectangular band */
/* matrix to real bidiagonal form. */
/* CGBBRD factors a general band matrix A as Q B P* , where * means */
/* conjugate transpose, B is upper bidiagonal, and Q and P are unitary; */
/* CGBBRD can also overwrite a given matrix C with Q* C . */
/* For each pair of matrix dimensions (M,N) and each selected matrix */
/* type, an M by N matrix A and an M by NRHS matrix C are generated. */
/* The problem dimensions are as follows */
/* A: M x N */
/* Q: M x M */
/* P: N x N */
/* B: min(M,N) x min(M,N) */
/* C: M x NRHS */
/* For each generated matrix, 4 tests are performed: */
/* (1) | A - Q B PT | / ( |A| max(M,N) ulp ), PT = P' */
/* (2) | I - Q' Q | / ( M ulp ) */
/* (3) | I - PT PT' | / ( N ulp ) */
/* (4) | Y - Q' C | / ( |Y| max(M,NRHS) ulp ), where Y = Q' C. */
/* The "types" are specified by a logical array DOTYPE( 1:NTYPES ); */
/* if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. */
/* Currently, the list of possible types is: */
/* The possible matrix types are */
/* (1) The zero matrix. */
/* (2) The identity matrix. */
/* (3) A diagonal matrix with evenly spaced entries */
/* 1, ..., ULP and random signs. */
/* (ULP = (first number larger than 1) - 1 ) */
/* (4) A diagonal matrix with geometrically spaced entries */
/* 1, ..., ULP and random signs. */
/* (5) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP */
/* and random signs. */
/* (6) Same as (3), but multiplied by SQRT( overflow threshold ) */
/* (7) Same as (3), but multiplied by SQRT( underflow threshold ) */
/* (8) A matrix of the form U D V, where U and V are orthogonal and */
/* D has evenly spaced entries 1, ..., ULP with random signs */
/* on the diagonal. */
/* (9) A matrix of the form U D V, where U and V are orthogonal and */
/* D has geometrically spaced entries 1, ..., ULP with random */
/* signs on the diagonal. */
/* (10) A matrix of the form U D V, where U and V are orthogonal and */
/* D has "clustered" entries 1, ULP,..., ULP with random */
/* signs on the diagonal. */
/* (11) Same as (8), but multiplied by SQRT( overflow threshold ) */
/* (12) Same as (8), but multiplied by SQRT( underflow threshold ) */
/* (13) Rectangular matrix with random entries chosen from (-1,1). */
/* (14) Same as (13), but multiplied by SQRT( overflow threshold ) */
/* (15) Same as (13), but multiplied by SQRT( underflow threshold ) */
/* Arguments */
/* ========= */
/* NSIZES (input) INTEGER */
/* The number of values of M and N contained in the vectors */
/* MVAL and NVAL. The matrix sizes are used in pairs (M,N). */
/* If NSIZES is zero, CCHKBB does nothing. NSIZES must be at */
/* least zero. */
/* MVAL (input) INTEGER array, dimension (NSIZES) */
/* The values of the matrix row dimension M. */
/* NVAL (input) INTEGER array, dimension (NSIZES) */
/* The values of the matrix column dimension N. */
/* NWDTHS (input) INTEGER */
/* The number of bandwidths to use. If it is zero, */
/* CCHKBB does nothing. It must be at least zero. */
/* KK (input) INTEGER array, dimension (NWDTHS) */
/* An array containing the bandwidths to be used for the band */
/* matrices. The values must be at least zero. */
/* NTYPES (input) INTEGER */
/* The number of elements in DOTYPE. If it is zero, CCHKBB */
/* does nothing. It must be at least zero. If it is MAXTYP+1 */
/* and NSIZES is 1, then an additional type, MAXTYP+1 is */
/* defined, which is to use whatever matrix is in A. This */
/* is only useful if DOTYPE(1:MAXTYP) is .FALSE. and */
/* DOTYPE(MAXTYP+1) is .TRUE. . */
/* DOTYPE (input) LOGICAL array, dimension (NTYPES) */
/* If DOTYPE(j) is .TRUE., then for each size in NN a */
/* matrix of that size and of type j will be generated. */
/* If NTYPES is smaller than the maximum number of types */
/* defined (PARAMETER MAXTYP), then types NTYPES+1 through */
/* MAXTYP will not be generated. If NTYPES is larger */
/* than MAXTYP, DOTYPE(MAXTYP+1) through DOTYPE(NTYPES) */
/* will be ignored. */
/* NRHS (input) INTEGER */
/* The number of columns in the "right-hand side" matrix C. */
/* If NRHS = 0, then the operations on the right-hand side will */
/* not be tested. NRHS must be at least 0. */
/* ISEED (input/output) INTEGER array, dimension (4) */
/* On entry ISEED specifies the seed of the random number */
/* generator. The array elements should be between 0 and 4095; */
/* if not they will be reduced mod 4096. Also, ISEED(4) must */
/* be odd. The random number generator uses a linear */
/* congruential sequence limited to small integers, and so */
/* should produce machine independent random numbers. The */
/* values of ISEED are changed on exit, and can be used in the */
/* next call to CCHKBB to continue the same random number */
/* sequence. */
/* THRESH (input) REAL */
/* A test will count as "failed" if the "error", computed as */
/* described above, exceeds THRESH. Note that the error */
/* is scaled to be O(1), so THRESH should be a reasonably */
/* small multiple of 1, e.g., 10 or 100. In particular, */
/* it should not depend on the precision (single vs. double) */
/* or the size of the matrix. It must be at least zero. */
/* NOUNIT (input) INTEGER */
/* The FORTRAN unit number for printing out error messages */
/* (e.g., if a routine returns IINFO not equal to 0.) */
/* A (input/workspace) REAL array, dimension */
/* (LDA, max(NN)) */
/* Used to hold the matrix A. */
/* LDA (input) INTEGER */
/* The leading dimension of A. It must be at least 1 */
/* and at least max( NN ). */
/* AB (workspace) REAL array, dimension (LDAB, max(NN)) */
/* Used to hold A in band storage format. */
/* LDAB (input) INTEGER */
/* The leading dimension of AB. It must be at least 2 (not 1!) */
/* and at least max( KK )+1. */
/* BD (workspace) REAL array, dimension (max(NN)) */
/* Used to hold the diagonal of the bidiagonal matrix computed */
/* by CGBBRD. */
/* BE (workspace) REAL array, dimension (max(NN)) */
/* Used to hold the off-diagonal of the bidiagonal matrix */
/* computed by CGBBRD. */
/* Q (workspace) COMPLEX array, dimension (LDQ, max(NN)) */
/* Used to hold the unitary matrix Q computed by CGBBRD. */
/* LDQ (input) INTEGER */
/* The leading dimension of Q. It must be at least 1 */
/* and at least max( NN ). */
/* P (workspace) COMPLEX array, dimension (LDP, max(NN)) */
/* Used to hold the unitary matrix P computed by CGBBRD. */
/* LDP (input) INTEGER */
/* The leading dimension of P. It must be at least 1 */
/* and at least max( NN ). */
/* C (workspace) COMPLEX array, dimension (LDC, max(NN)) */
/* Used to hold the matrix C updated by CGBBRD. */
/* LDC (input) INTEGER */
/* The leading dimension of U. It must be at least 1 */
/* and at least max( NN ). */
/* CC (workspace) COMPLEX array, dimension (LDC, max(NN)) */
/* Used to hold a copy of the matrix C. */
/* WORK (workspace) COMPLEX array, dimension (LWORK) */
/* LWORK (input) INTEGER */
/* The number of entries in WORK. This must be at least */
/* max( LDA+1, max(NN)+1 )*max(NN). */
/* RWORK (workspace) REAL array, dimension (max(NN)) */
/* RESULT (output) REAL array, dimension (4) */
/* The values computed by the tests described above. */
/* The values are currently limited to 1/ulp, to avoid */
/* overflow. */
/* INFO (output) INTEGER */
/* If 0, then everything ran OK. */
/* ----------------------------------------------------------------------- */
/* Some Local Variables and Parameters: */
/* ---- ----- --------- --- ---------- */
/* ZERO, ONE Real 0 and 1. */
/* MAXTYP The number of types defined. */
/* NTEST The number of tests performed, or which can */
/* be performed so far, for the current matrix. */
/* NTESTT The total number of tests performed so far. */
/* NMAX Largest value in NN. */
/* NMATS The number of matrices generated so far. */
/* NERRS The number of tests which have exceeded THRESH */
/* so far. */
/* COND, IMODE Values to be passed to the matrix generators. */
/* ANORM Norm of A; passed to matrix generators. */
/* OVFL, UNFL Overflow and underflow thresholds. */
/* ULP, ULPINV Finest relative precision and its inverse. */
/* RTOVFL, RTUNFL Square roots of the previous 2 values. */
/* The following four arrays decode JTYPE: */
/* KTYPE(j) The general type (1-10) for type "j". */
/* KMODE(j) The MODE value to be passed to the matrix */
/* generator for type "j". */
/* KMAGN(j) The order of magnitude ( O(1), */
/* O(overflow^(1/2) ), O(underflow^(1/2) ) */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Data statements .. */
/* Parameter adjustments */
--mval;
--nval;
--kk;
--dotype;
--iseed;
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
ab_dim1 = *ldab;
ab_offset = 1 + ab_dim1;
ab -= ab_offset;
--bd;
--be;
q_dim1 = *ldq;
q_offset = 1 + q_dim1;
q -= q_offset;
p_dim1 = *ldp;
p_offset = 1 + p_dim1;
p -= p_offset;
cc_dim1 = *ldc;
cc_offset = 1 + cc_dim1;
cc -= cc_offset;
c_dim1 = *ldc;
c_offset = 1 + c_dim1;
c__ -= c_offset;
--work;
--rwork;
--result;
/* Function Body */
/* .. */
/* .. Executable Statements .. */
/* Check for errors */
ntestt = 0;
*info = 0;
/* Important constants */
badmm = FALSE_;
badnn = FALSE_;
mmax = 1;
nmax = 1;
mnmax = 1;
i__1 = *nsizes;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = mmax, i__3 = mval[j];
mmax = max(i__2,i__3);
if (mval[j] < 0) {
badmm = TRUE_;
}
/* Computing MAX */
i__2 = nmax, i__3 = nval[j];
nmax = max(i__2,i__3);
if (nval[j] < 0) {
badnn = TRUE_;
}
/* Computing MAX */
/* Computing MIN */
i__4 = mval[j], i__5 = nval[j];
i__2 = mnmax, i__3 = min(i__4,i__5);
mnmax = max(i__2,i__3);
/* L10: */
}
badnnb = FALSE_;
kmax = 0;
i__1 = *nwdths;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = kmax, i__3 = kk[j];
kmax = max(i__2,i__3);
if (kk[j] < 0) {
badnnb = TRUE_;
}
/* L20: */
}
/* Check for errors */
if (*nsizes < 0) {
*info = -1;
} else if (badmm) {
*info = -2;
} else if (badnn) {
*info = -3;
} else if (*nwdths < 0) {
*info = -4;
} else if (badnnb) {
*info = -5;
} else if (*ntypes < 0) {
*info = -6;
} else if (*nrhs < 0) {
*info = -8;
} else if (*lda < nmax) {
*info = -13;
} else if (*ldab < (kmax << 1) + 1) {
*info = -15;
} else if (*ldq < nmax) {
*info = -19;
} else if (*ldp < nmax) {
*info = -21;
} else if (*ldc < nmax) {
*info = -23;
} else if ((max(*lda,nmax) + 1) * nmax > *lwork) {
*info = -26;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("CCHKBB", &i__1);
return 0;
}
/* Quick return if possible */
if (*nsizes == 0 || *ntypes == 0 || *nwdths == 0) {
return 0;
}
/* More Important constants */
unfl = slamch_("Safe minimum");
ovfl = 1.f / unfl;
ulp = slamch_("Epsilon") * slamch_("Base");
ulpinv = 1.f / ulp;
rtunfl = sqrt(unfl);
rtovfl = sqrt(ovfl);
/* Loop over sizes, widths, types */
nerrs = 0;
nmats = 0;
i__1 = *nsizes;
for (jsize = 1; jsize <= i__1; ++jsize) {
m = mval[jsize];
n = nval[jsize];
mnmin = min(m,n);
/* Computing MAX */
i__2 = max(1,m);
amninv = 1.f / (real) max(i__2,n);
i__2 = *nwdths;
for (jwidth = 1; jwidth <= i__2; ++jwidth) {
k = kk[jwidth];
if (k >= m && k >= n) {
goto L150;
}
/* Computing MAX */
/* Computing MIN */
i__5 = m - 1;
i__3 = 0, i__4 = min(i__5,k);
kl = max(i__3,i__4);
/* Computing MAX */
/* Computing MIN */
i__5 = n - 1;
i__3 = 0, i__4 = min(i__5,k);
ku = max(i__3,i__4);
if (*nsizes != 1) {
mtypes = min(15,*ntypes);
} else {
mtypes = min(16,*ntypes);
}
i__3 = mtypes;
for (jtype = 1; jtype <= i__3; ++jtype) {
if (! dotype[jtype]) {
goto L140;
}
++nmats;
ntest = 0;
for (j = 1; j <= 4; ++j) {
ioldsd[j - 1] = iseed[j];
/* L30: */
}
/* Compute "A". */
/* Control parameters: */
/* KMAGN KMODE KTYPE */
/* =1 O(1) clustered 1 zero */
/* =2 large clustered 2 identity */
/* =3 small exponential (none) */
/* =4 arithmetic diagonal, (w/ singular values) */
/* =5 random log (none) */
/* =6 random nonhermitian, w/ singular values */
/* =7 (none) */
/* =8 (none) */
/* =9 random nonhermitian */
if (mtypes > 15) {
goto L90;
}
itype = ktype[jtype - 1];
imode = kmode[jtype - 1];
/* Compute norm */
switch (kmagn[jtype - 1]) {
case 1: goto L40;
case 2: goto L50;
case 3: goto L60;
}
L40:
anorm = 1.f;
goto L70;
L50:
anorm = rtovfl * ulp * amninv;
goto L70;
L60:
anorm = rtunfl * max(m,n) * ulpinv;
goto L70;
L70:
claset_("Full", lda, &n, &c_b1, &c_b1, &a[a_offset], lda);
claset_("Full", ldab, &n, &c_b1, &c_b1, &ab[ab_offset], ldab);
iinfo = 0;
cond = ulpinv;
/* Special Matrices -- Identity & Jordan block */
/* Zero */
if (itype == 1) {
iinfo = 0;
} else if (itype == 2) {
/* Identity */
i__4 = n;
for (jcol = 1; jcol <= i__4; ++jcol) {
i__5 = jcol + jcol * a_dim1;
a[i__5].r = anorm, a[i__5].i = 0.f;
/* L80: */
}
} else if (itype == 4) {
/* Diagonal Matrix, singular values specified */
clatms_(&m, &n, "S", &iseed[1], "N", &rwork[1], &imode, &
cond, &anorm, &c__0, &c__0, "N", &a[a_offset],
lda, &work[1], &iinfo);
} else if (itype == 6) {
/* Nonhermitian, singular values specified */
clatms_(&m, &n, "S", &iseed[1], "N", &rwork[1], &imode, &
cond, &anorm, &kl, &ku, "N", &a[a_offset], lda, &
work[1], &iinfo);
} else if (itype == 9) {
/* Nonhermitian, random entries */
clatmr_(&m, &n, "S", &iseed[1], "N", &work[1], &c__6, &
c_b33, &c_b2, "T", "N", &work[n + 1], &c__1, &
c_b33, &work[(n << 1) + 1], &c__1, &c_b33, "N",
idumma, &kl, &ku, &c_b41, &anorm, "N", &a[
a_offset], lda, idumma, &iinfo);
} else {
iinfo = 1;
}
/* Generate Right-Hand Side */
clatmr_(&m, nrhs, "S", &iseed[1], "N", &work[1], &c__6, &
c_b33, &c_b2, "T", "N", &work[m + 1], &c__1, &c_b33, &
work[(m << 1) + 1], &c__1, &c_b33, "N", idumma, &m,
nrhs, &c_b41, &c_b33, "NO", &c__[c_offset], ldc,
idumma, &iinfo);
if (iinfo != 0) {
io___41.ciunit = *nounit;
s_wsfe(&io___41);
do_fio(&c__1, "Generator", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
;
e_wsfe();
*info = abs(iinfo);
return 0;
}
L90:
/* Copy A to band storage. */
i__4 = n;
for (j = 1; j <= i__4; ++j) {
/* Computing MAX */
i__5 = 1, i__6 = j - ku;
/* Computing MIN */
i__8 = m, i__9 = j + kl;
i__7 = min(i__8,i__9);
for (i__ = max(i__5,i__6); i__ <= i__7; ++i__) {
i__5 = ku + 1 + i__ - j + j * ab_dim1;
i__6 = i__ + j * a_dim1;
ab[i__5].r = a[i__6].r, ab[i__5].i = a[i__6].i;
/* L100: */
}
/* L110: */
}
/* Copy C */
clacpy_("Full", &m, nrhs, &c__[c_offset], ldc, &cc[cc_offset],
ldc);
/* Call CGBBRD to compute B, Q and P, and to update C. */
cgbbrd_("B", &m, &n, nrhs, &kl, &ku, &ab[ab_offset], ldab, &
bd[1], &be[1], &q[q_offset], ldq, &p[p_offset], ldp, &
cc[cc_offset], ldc, &work[1], &rwork[1], &iinfo);
if (iinfo != 0) {
io___43.ciunit = *nounit;
s_wsfe(&io___43);
do_fio(&c__1, "CGBBRD", (ftnlen)6);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer))
;
e_wsfe();
*info = abs(iinfo);
if (iinfo < 0) {
return 0;
} else {
result[1] = ulpinv;
goto L120;
}
}
/* Test 1: Check the decomposition A := Q * B * P' */
/* 2: Check the orthogonality of Q */
/* 3: Check the orthogonality of P */
/* 4: Check the computation of Q' * C */
cbdt01_(&m, &n, &c_n1, &a[a_offset], lda, &q[q_offset], ldq, &
bd[1], &be[1], &p[p_offset], ldp, &work[1], &rwork[1],
&result[1]);
cunt01_("Columns", &m, &m, &q[q_offset], ldq, &work[1], lwork,
&rwork[1], &result[2]);
cunt01_("Rows", &n, &n, &p[p_offset], ldp, &work[1], lwork, &
rwork[1], &result[3]);
cbdt02_(&m, nrhs, &c__[c_offset], ldc, &cc[cc_offset], ldc, &
q[q_offset], ldq, &work[1], &rwork[1], &result[4]);
/* End of Loop -- Check for RESULT(j) > THRESH */
ntest = 4;
L120:
ntestt += ntest;
/* Print out tests which fail. */
i__4 = ntest;
for (jr = 1; jr <= i__4; ++jr) {
if (result[jr] >= *thresh) {
if (nerrs == 0) {
slahd2_(nounit, "CBB");
}
++nerrs;
io___45.ciunit = *nounit;
s_wsfe(&io___45);
do_fio(&c__1, (char *)&m, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&k, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
;
do_fio(&c__1, (char *)&jr, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[jr], (ftnlen)sizeof(
real));
e_wsfe();
}
/* L130: */
}
L140:
;
}
L150:
;
}
/* L160: */
}
/* Summary */
slasum_("CBB", nounit, &nerrs, &ntestt);
return 0;
/* End of CCHKBB */
} /* cchkbb_ */
