#include "blaswrap.h"
/* -- translated by f2c (version 19990503).
You must link the resulting object file with the libraries:
-lf2c -lm (in that order)
*/
#include "f2c.h"
/* Table of constant values */
static doublereal c_b17 = 0.;
static integer c__0 = 0;
static doublereal c_b31 = 1.;
static integer c__4 = 4;
static integer c__6 = 6;
static integer c__1 = 1;
static integer c__2 = 2;
/* Subroutine */ int ddrvev_(integer *nsizes, integer *nn, integer *ntypes,
logical *dotype, integer *iseed, doublereal *thresh, integer *nounit,
doublereal *a, integer *lda, doublereal *h__, doublereal *wr,
doublereal *wi, doublereal *wr1, doublereal *wi1, doublereal *vl,
integer *ldvl, doublereal *vr, integer *ldvr, doublereal *lre,
integer *ldlre, doublereal *result, doublereal *work, integer *nwork,
integer *iwork, 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_9993[] = "(\002 DDRVEV: \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 -- Real Eigenvalue-Eigenvector De"
"composition\002,\002 Driver\002,/\002 Matrix types (see DDRVEV f"
"or 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 \002,6x,\002 \002,\002 17=Ill-c"
"ond., large rand. complx \002,/\002 13=Ill-condi\002,\002tioned,"
" 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 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 if VL comput"
"ed,\002,\002 1/ulp otherwise\002,/\002 7 = 0 if VL same no matt"
"er if VR computed,\002,\002 1/ulp otherwise\002,/)";
static char fmt_9994[] = "(\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)";
/* 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;
doublereal d__1, d__2, d__3, d__4, d__5;
/* 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);
/* Local variables */
static doublereal cond;
static integer jcol;
static char path[3];
static integer nmax;
static doublereal unfl, ovfl, tnrm, vrmx, vtst;
extern doublereal dnrm2_(integer *, doublereal *, integer *);
static integer j, n;
static logical badnn;
extern /* Subroutine */ int dget22_(char *, char *, char *, integer *,
doublereal *, integer *, doublereal *, integer *, doublereal *,
doublereal *, doublereal *, doublereal *);
static integer nfail;
extern /* Subroutine */ int dgeev_(char *, char *, integer *, doublereal *
, integer *, doublereal *, doublereal *, doublereal *, integer *,
doublereal *, integer *, doublereal *, integer *, integer *);
static integer imode, iinfo;
static doublereal conds, anorm;
static integer jsize, nerrs, itype, jtype, ntest;
static doublereal rtulp;
extern doublereal dlapy2_(doublereal *, doublereal *);
extern /* Subroutine */ int dlabad_(doublereal *, doublereal *);
static integer jj;
extern doublereal dlamch_(char *);
static char adumma[1*1];
extern /* Subroutine */ int dlatme_(integer *, char *, integer *,
doublereal *, integer *, doublereal *, doublereal *, char *, char
*, char *, char *, doublereal *, integer *, doublereal *, integer
*, integer *, doublereal *, doublereal *, integer *, doublereal *,
integer *);
static integer idumma[1];
extern /* Subroutine */ int dlacpy_(char *, integer *, integer *,
doublereal *, integer *, doublereal *, integer *);
static integer ioldsd[4];
extern /* Subroutine */ int dlaset_(char *, integer *, integer *,
doublereal *, doublereal *, doublereal *, integer *),
xerbla_(char *, integer *), dlatmr_(integer *, integer *,
char *, integer *, char *, doublereal *, integer *, doublereal *,
doublereal *, char *, char *, doublereal *, integer *, doublereal
*, doublereal *, integer *, doublereal *, char *, integer *,
integer *, integer *, doublereal *, doublereal *, char *,
doublereal *, integer *, integer *, integer *), dlatms_(integer *, integer *,
char *, integer *, char *, doublereal *, integer *, doublereal *,
doublereal *, integer *, integer *, char *, doublereal *, integer
*, doublereal *, integer *), dlasum_(char
*, integer *, integer *, integer *);
static integer ntestf;
static doublereal ulpinv;
static integer nnwork;
static doublereal rtulpi;
static integer mtypes, ntestt;
static doublereal dum[1], res[2];
static integer iwk;
static doublereal ulp, vmx;
/* Fortran I/O blocks */
static cilist io___32 = { 0, 0, 0, fmt_9993, 0 };
static cilist io___35 = { 0, 0, 0, fmt_9993, 0 };
static cilist io___43 = { 0, 0, 0, fmt_9993, 0 };
static cilist io___44 = { 0, 0, 0, fmt_9993, 0 };
static cilist io___45 = { 0, 0, 0, fmt_9993, 0 };
static cilist io___48 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___49 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___50 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___51 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___52 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___53 = { 0, 0, 0, fmt_9994, 0 };
#define a_ref(a_1,a_2) a[(a_2)*a_dim1 + a_1]
#define vl_ref(a_1,a_2) vl[(a_2)*vl_dim1 + a_1]
#define vr_ref(a_1,a_2) vr[(a_2)*vr_dim1 + a_1]
#define lre_ref(a_1,a_2) lre[(a_2)*lre_dim1 + a_1]
/* -- 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
=======
DDRVEV checks the nonsymmetric eigenvalue problem driver DGEEV.
When DDRVEV 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, 7
tests will be performed:
(1) | A * VR - VR * W | / ( n |A| ulp )
Here VR is the matrix of unit right eigenvectors.
W is a block diagonal matrix, with a 1x1 block for each
real eigenvalue and a 2x2 block for each complex conjugate
pair. If eigenvalues j and j+1 are a complex conjugate pair,
so WR(j) = WR(j+1) = wr and WI(j) = - WI(j+1) = wi, then the
2 x 2 block corresponding to the pair will be:
( wr wi )
( -wi wr )
Such a block multiplying an n x 2 matrix ( ur ui ) on the
right will be the same as multiplying ur + i*ui by wr + i*wi.
(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 whether largest component real
VR(i) denotes the i-th column of VR.
(4) | |VL(i)| - 1 | / ulp and whether largest component real
VL(i) denotes the i-th column of VL.
(5) W(full) = W(partial)
W(full) denotes the eigenvalues computed when both VR and VL
are also computed, and W(partial) denotes the eigenvalues
computed when only W, only W and VR, or only W and VL are
computed.
(6) VR(full) = VR(partial)
VR(full) denotes the right eigenvectors computed when both VR
and VL are computed, and VR(partial) denotes the result
when only VR is computed.
(7) VL(full) = VL(partial)
VL(full) denotes the left eigenvectors computed when both VR
and VL are also computed, and VL(partial) denotes the result
when only VL is 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 signs.
(ULP = (first number larger than 1) - 1 )
(5) A diagonal matrix with geometrically spaced entries
1, ..., ULP and random signs.
(6) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP
and random signs.
(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 orthogonal and
T has evenly spaced entries 1, ..., ULP with random signs
on the diagonal and random O(1) entries in the upper
triangle.
(10) A matrix of the form U' T U, where U is orthogonal and
T has geometrically spaced entries 1, ..., ULP with random
signs 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
signs on the diagonal and random O(1) entries in the upper
triangle.
(12) A matrix of the form U' T U, where U is orthogonal and
T has real or complex conjugate paired eigenvalues randomly
chosen from ( ULP, 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 signs 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 signs 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 signs 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 real or complex conjugate paired
eigenvalues randomly chosen from ( ULP, 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
Arguments
==========
NSIZES (input) INTEGER
The number of sizes of matrices to use. If it is zero,
DDRVEV 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.
NTYPES (input) INTEGER
The number of elements in DOTYPE. If it is zero, DDRVEV
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 DDRVEV to continue the same random number
sequence.
THRESH (input) DOUBLE PRECISION
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 INFO not equal to 0.)
A (workspace) DOUBLE PRECISION 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) DOUBLE PRECISION array, dimension (LDA, max(NN))
Another copy of the test matrix A, modified by DGEEV.
WR (workspace) DOUBLE PRECISION array, dimension (max(NN))
WI (workspace) DOUBLE PRECISION array, dimension (max(NN))
The real and imaginary parts of the eigenvalues of A.
On exit, WR + WI*i are the eigenvalues of the matrix in A.
WR1 (workspace) DOUBLE PRECISION array, dimension (max(NN))
WI1 (workspace) DOUBLE PRECISION array, dimension (max(NN))
Like WR, WI, these arrays contain the eigenvalues of A,
but those computed when DGEEV only computes a partial
eigendecomposition, i.e. not the eigenvalues and left
and right eigenvectors.
VL (workspace) DOUBLE PRECISION array, dimension (LDVL, max(NN))
VL holds the computed left eigenvectors.
LDVL (input) INTEGER
Leading dimension of VL. Must be at least max(1,max(NN)).
VR (workspace) DOUBLE PRECISION array, dimension (LDVR, max(NN))
VR holds the computed right eigenvectors.
LDVR (input) INTEGER
Leading dimension of VR. Must be at least max(1,max(NN)).
LRE (workspace) DOUBLE PRECISION array, dimension (LDLRE,max(NN))
LRE holds the computed right or left eigenvectors.
LDLRE (input) INTEGER
Leading dimension of LRE. Must be at least max(1,max(NN)).
RESULT (output) DOUBLE PRECISION array, dimension (7)
The values computed by the seven tests described above.
The values are currently limited to 1/ulp, to avoid overflow.
WORK (workspace) DOUBLE PRECISION array, dimension (NWORK)
NWORK (input) INTEGER
The number of entries in WORK. This must be at least
5*NN(j)+2*NN(j)**2 for all j.
IWORK (workspace) INTEGER array, dimension (max(NN))
INFO (output) 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) ).
-16: LDVL < 1 or LDVL < NMAX, where NMAX is max( NN(j) ).
-18: LDVR < 1 or LDVR < NMAX, where NMAX is max( NN(j) ).
-20: LDLRE < 1 or LDLRE < NMAX, where NMAX is max( NN(j) ).
-23: NWORK too small.
If DLATMR, SLATMS, SLATME or DGEEV 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.
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.)
=====================================================================
Parameter adjustments */
--nn;
--dotype;
--iseed;
h_dim1 = *lda;
h_offset = 1 + h_dim1 * 1;
h__ -= h_offset;
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
--wr;
--wi;
--wr1;
--wi1;
vl_dim1 = *ldvl;
vl_offset = 1 + vl_dim1 * 1;
vl -= vl_offset;
vr_dim1 = *ldvr;
vr_offset = 1 + vr_dim1 * 1;
vr -= vr_offset;
lre_dim1 = *ldlre;
lre_offset = 1 + lre_dim1 * 1;
lre -= lre_offset;
--result;
--work;
--iwork;
/* Function Body */
s_copy(path, "Double precision", (ftnlen)1, (ftnlen)16);
s_copy(path + 1, "EV", (ftnlen)2, (ftnlen)2);
/* Check for errors */
ntestt = 0;
ntestf = 0;
*info = 0;
/* Important constants */
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.) {
*info = -6;
} else if (*nounit <= 0) {
*info = -7;
} else if (*lda < 1 || *lda < nmax) {
*info = -9;
} else if (*ldvl < 1 || *ldvl < nmax) {
*info = -16;
} else if (*ldvr < 1 || *ldvr < nmax) {
*info = -18;
} else if (*ldlre < 1 || *ldlre < nmax) {
*info = -20;
} else /* if(complicated condition) */ {
/* Computing 2nd power */
i__1 = nmax;
if (nmax * 5 + (i__1 * i__1 << 1) > *nwork) {
*info = -23;
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("DDRVEV", &i__1);
return 0;
}
/* Quick return if nothing to do */
if (*nsizes == 0 || *ntypes == 0) {
return 0;
}
/* More Important constants */
unfl = dlamch_("Safe minimum");
ovfl = 1. / unfl;
dlabad_(&unfl, &ovfl);
ulp = dlamch_("Precision");
ulpinv = 1. / ulp;
rtulp = sqrt(ulp);
rtulpi = 1. / 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 L260;
}
/* 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.;
goto L60;
L40:
anorm = ovfl * ulp;
goto L60;
L50:
anorm = unfl * ulpinv;
goto L60;
L60:
dlaset_("Full", lda, &n, &c_b17, &c_b17, &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) {
a_ref(jcol, jcol) = anorm;
/* L70: */
}
} else if (itype == 3) {
/* Jordan Block */
i__3 = n;
for (jcol = 1; jcol <= i__3; ++jcol) {
a_ref(jcol, jcol) = anorm;
if (jcol > 1) {
a_ref(jcol, jcol - 1) = 1.;
}
/* L80: */
}
} else if (itype == 4) {
/* Diagonal Matrix, [Eigen]values Specified */
dlatms_(&n, &n, "S", &iseed[1], "S", &work[1], &imode, &cond,
&anorm, &c__0, &c__0, "N", &a[a_offset], lda, &work[n
+ 1], &iinfo);
} else if (itype == 5) {
/* Symmetric, eigenvalues specified */
dlatms_(&n, &n, "S", &iseed[1], "S", &work[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.;
} else if (kconds[jtype - 1] == 2) {
conds = rtulpi;
} else {
conds = 0.;
}
*(unsigned char *)&adumma[0] = ' ';
dlatme_(&n, "S", &iseed[1], &work[1], &imode, &cond, &c_b31,
adumma, "T", "T", "T", &work[n + 1], &c__4, &conds, &
n, &n, &anorm, &a[a_offset], lda, &work[(n << 1) + 1],
&iinfo);
} else if (itype == 7) {
/* Diagonal, random eigenvalues */
dlatmr_(&n, &n, "S", &iseed[1], "S", &work[1], &c__6, &c_b31,
&c_b31, "T", "N", &work[n + 1], &c__1, &c_b31, &work[(
n << 1) + 1], &c__1, &c_b31, "N", idumma, &c__0, &
c__0, &c_b17, &anorm, "NO", &a[a_offset], lda, &iwork[
1], &iinfo);
} else if (itype == 8) {
/* Symmetric, random eigenvalues */
dlatmr_(&n, &n, "S", &iseed[1], "S", &work[1], &c__6, &c_b31,
&c_b31, "T", "N", &work[n + 1], &c__1, &c_b31, &work[(
n << 1) + 1], &c__1, &c_b31, "N", idumma, &n, &n, &
c_b17, &anorm, "NO", &a[a_offset], lda, &iwork[1], &
iinfo);
} else if (itype == 9) {
/* General, random eigenvalues */
dlatmr_(&n, &n, "S", &iseed[1], "N", &work[1], &c__6, &c_b31,
&c_b31, "T", "N", &work[n + 1], &c__1, &c_b31, &work[(
n << 1) + 1], &c__1, &c_b31, "N", idumma, &n, &n, &
c_b17, &anorm, "NO", &a[a_offset], lda, &iwork[1], &
iinfo);
if (n >= 4) {
dlaset_("Full", &c__2, &n, &c_b17, &c_b17, &a[a_offset],
lda);
i__3 = n - 3;
dlaset_("Full", &i__3, &c__1, &c_b17, &c_b17, &a_ref(3, 1)
, lda);
i__3 = n - 3;
dlaset_("Full", &i__3, &c__2, &c_b17, &c_b17, &a_ref(3, n
- 1), lda);
dlaset_("Full", &c__1, &n, &c_b17, &c_b17, &a_ref(n, 1),
lda);
}
} else if (itype == 10) {
/* Triangular, random eigenvalues */
dlatmr_(&n, &n, "S", &iseed[1], "N", &work[1], &c__6, &c_b31,
&c_b31, "T", "N", &work[n + 1], &c__1, &c_b31, &work[(
n << 1) + 1], &c__1, &c_b31, "N", idumma, &n, &c__0, &
c_b17, &anorm, "NO", &a[a_offset], lda, &iwork[1], &
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 <= 2; ++iwk) {
if (iwk == 1) {
nnwork = n << 2;
} else {
/* Computing 2nd power */
i__3 = n;
nnwork = n * 5 + (i__3 * i__3 << 1);
}
nnwork = max(nnwork,1);
/* Initialize RESULT */
for (j = 1; j <= 7; ++j) {
result[j] = -1.;
/* L100: */
}
/* Compute eigenvalues and eigenvectors, and test them */
dlacpy_("F", &n, &n, &a[a_offset], lda, &h__[h_offset], lda);
dgeev_("V", "V", &n, &h__[h_offset], lda, &wr[1], &wi[1], &vl[
vl_offset], ldvl, &vr[vr_offset], ldvr, &work[1], &
nnwork, &iinfo);
if (iinfo != 0) {
result[1] = ulpinv;
io___35.ciunit = *nounit;
s_wsfe(&io___35);
do_fio(&c__1, "DGEEV1", (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 L220;
}
/* Do Test (1) */
dget22_("N", "N", "N", &n, &a[a_offset], lda, &vr[vr_offset],
ldvr, &wr[1], &wi[1], &work[1], res);
result[1] = res[0];
/* Do Test (2) */
dget22_("T", "N", "T", &n, &a[a_offset], lda, &vl[vl_offset],
ldvl, &wr[1], &wi[1], &work[1], res);
result[2] = res[0];
/* Do Test (3) */
i__3 = n;
for (j = 1; j <= i__3; ++j) {
tnrm = 1.;
if (wi[j] == 0.) {
tnrm = dnrm2_(&n, &vr_ref(1, j), &c__1);
} else if (wi[j] > 0.) {
d__1 = dnrm2_(&n, &vr_ref(1, j), &c__1);
d__2 = dnrm2_(&n, &vr_ref(1, j + 1), &c__1);
tnrm = dlapy2_(&d__1, &d__2);
}
/* Computing MAX
Computing MIN */
d__4 = ulpinv, d__5 = (d__1 = tnrm - 1., abs(d__1)) / ulp;
d__2 = result[3], d__3 = min(d__4,d__5);
result[3] = max(d__2,d__3);
if (wi[j] > 0.) {
vmx = 0.;
vrmx = 0.;
i__4 = n;
for (jj = 1; jj <= i__4; ++jj) {
vtst = dlapy2_(&vr_ref(jj, j), &vr_ref(jj, j + 1))
;
if (vtst > vmx) {
vmx = vtst;
}
if (vr_ref(jj, j + 1) == 0. && (d__1 = vr_ref(jj,
j), abs(d__1)) > vrmx) {
vrmx = (d__2 = vr_ref(jj, j), abs(d__2));
}
/* L110: */
}
if (vrmx / vmx < 1. - ulp * 2.) {
result[3] = ulpinv;
}
}
/* L120: */
}
/* Do Test (4) */
i__3 = n;
for (j = 1; j <= i__3; ++j) {
tnrm = 1.;
if (wi[j] == 0.) {
tnrm = dnrm2_(&n, &vl_ref(1, j), &c__1);
} else if (wi[j] > 0.) {
d__1 = dnrm2_(&n, &vl_ref(1, j), &c__1);
d__2 = dnrm2_(&n, &vl_ref(1, j + 1), &c__1);
tnrm = dlapy2_(&d__1, &d__2);
}
/* Computing MAX
Computing MIN */
d__4 = ulpinv, d__5 = (d__1 = tnrm - 1., abs(d__1)) / ulp;
d__2 = result[4], d__3 = min(d__4,d__5);
result[4] = max(d__2,d__3);
if (wi[j] > 0.) {
vmx = 0.;
vrmx = 0.;
i__4 = n;
for (jj = 1; jj <= i__4; ++jj) {
vtst = dlapy2_(&vl_ref(jj, j), &vl_ref(jj, j + 1))
;
if (vtst > vmx) {
vmx = vtst;
}
if (vl_ref(jj, j + 1) == 0. && (d__1 = vl_ref(jj,
j), abs(d__1)) > vrmx) {
vrmx = (d__2 = vl_ref(jj, j), abs(d__2));
}
/* L130: */
}
if (vrmx / vmx < 1. - ulp * 2.) {
result[4] = ulpinv;
}
}
/* L140: */
}
/* Compute eigenvalues only, and test them */
dlacpy_("F", &n, &n, &a[a_offset], lda, &h__[h_offset], lda);
dgeev_("N", "N", &n, &h__[h_offset], lda, &wr1[1], &wi1[1],
dum, &c__1, dum, &c__1, &work[1], &nnwork, &iinfo);
if (iinfo != 0) {
result[1] = ulpinv;
io___43.ciunit = *nounit;
s_wsfe(&io___43);
do_fio(&c__1, "DGEEV2", (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 L220;
}
/* Do Test (5) */
i__3 = n;
for (j = 1; j <= i__3; ++j) {
if (wr[j] != wr1[j] || wi[j] != wi1[j]) {
result[5] = ulpinv;
}
/* L150: */
}
/* Compute eigenvalues and right eigenvectors, and test them */
dlacpy_("F", &n, &n, &a[a_offset], lda, &h__[h_offset], lda);
dgeev_("N", "V", &n, &h__[h_offset], lda, &wr1[1], &wi1[1],
dum, &c__1, &lre[lre_offset], ldlre, &work[1], &
nnwork, &iinfo);
if (iinfo != 0) {
result[1] = ulpinv;
io___44.ciunit = *nounit;
s_wsfe(&io___44);
do_fio(&c__1, "DGEEV3", (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 L220;
}
/* Do Test (5) again */
i__3 = n;
for (j = 1; j <= i__3; ++j) {
if (wr[j] != wr1[j] || wi[j] != wi1[j]) {
result[5] = ulpinv;
}
/* L160: */
}
/* Do Test (6) */
i__3 = n;
for (j = 1; j <= i__3; ++j) {
i__4 = n;
for (jj = 1; jj <= i__4; ++jj) {
if (vr_ref(j, jj) != lre_ref(j, jj)) {
result[6] = ulpinv;
}
/* L170: */
}
/* L180: */
}
/* Compute eigenvalues and left eigenvectors, and test them */
dlacpy_("F", &n, &n, &a[a_offset], lda, &h__[h_offset], lda);
dgeev_("V", "N", &n, &h__[h_offset], lda, &wr1[1], &wi1[1], &
lre[lre_offset], ldlre, dum, &c__1, &work[1], &nnwork,
&iinfo);
if (iinfo != 0) {
result[1] = ulpinv;
io___45.ciunit = *nounit;
s_wsfe(&io___45);
do_fio(&c__1, "DGEEV4", (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 L220;
}
/* Do Test (5) again */
i__3 = n;
for (j = 1; j <= i__3; ++j) {
if (wr[j] != wr1[j] || wi[j] != wi1[j]) {
result[5] = ulpinv;
}
/* L190: */
}
/* Do Test (7) */
i__3 = n;
for (j = 1; j <= i__3; ++j) {
i__4 = n;
for (jj = 1; jj <= i__4; ++jj) {
if (vl_ref(j, jj) != lre_ref(j, jj)) {
result[7] = ulpinv;
}
/* L200: */
}
/* L210: */
}
/* End of Loop -- Check for RESULT(j) > THRESH */
L220:
ntest = 0;
nfail = 0;
for (j = 1; j <= 7; ++j) {
if (result[j] >= 0.) {
++ntest;
}
if (result[j] >= *thresh) {
++nfail;
}
/* L230: */
}
if (nfail > 0) {
++ntestf;
}
if (ntestf == 1) {
io___48.ciunit = *nounit;
s_wsfe(&io___48);
do_fio(&c__1, path, (ftnlen)3);
e_wsfe();
io___49.ciunit = *nounit;
s_wsfe(&io___49);
e_wsfe();
io___50.ciunit = *nounit;
s_wsfe(&io___50);
e_wsfe();
io___51.ciunit = *nounit;
s_wsfe(&io___51);
e_wsfe();
io___52.ciunit = *nounit;
s_wsfe(&io___52);
do_fio(&c__1, (char *)&(*thresh), (ftnlen)sizeof(
doublereal));
e_wsfe();
ntestf = 2;
}
for (j = 1; j <= 7; ++j) {
if (result[j] >= *thresh) {
io___53.ciunit = *nounit;
s_wsfe(&io___53);
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(
doublereal));
e_wsfe();
}
/* L240: */
}
nerrs += nfail;
ntestt += ntest;
/* L250: */
}
L260:
;
}
/* L270: */
}
/* Summary */
dlasum_(path, nounit, &nerrs, &ntestt);
return 0;
/* End of DDRVEV */
} /* ddrvev_ */
#undef lre_ref
#undef vr_ref
#undef vl_ref
#undef a_ref