/* Subroutine */ int sposvx_(char *fact, char *uplo, integer *n, integer *
nrhs, real *a, integer *lda, real *af, integer *ldaf, char *equed,
real *s, real *b, integer *ldb, real *x, integer *ldx, real *rcond,
real *ferr, real *berr, real *work, integer *iwork, integer *info)
{
/* -- LAPACK driver routine (version 2.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
September 30, 1994
Purpose
=======
SPOSVX uses the Cholesky factorization A = U**T*U or A = L*L**T to
compute the solution to a real system of linear equations
A * X = B,
where A is an N-by-N symmetric positive definite matrix and X and B
are N-by-NRHS matrices.
Error bounds on the solution and a condition estimate are also
provided.
Description
===========
The following steps are performed:
1. If FACT = 'E', real scaling factors are computed to equilibrate
the system:
diag(S) * A * diag(S) * inv(diag(S)) * X = diag(S) * B
Whether or not the system will be equilibrated depends on the
scaling of the matrix A, but if equilibration is used, A is
overwritten by diag(S)*A*diag(S) and B by diag(S)*B.
2. If FACT = 'N' or 'E', the Cholesky decomposition is used to
factor the matrix A (after equilibration if FACT = 'E') as
A = U**T* U, if UPLO = 'U', or
A = L * L**T, if UPLO = 'L',
where U is an upper triangular matrix and L is a lower triangular
matrix.
3. The factored form of A is used to estimate the condition number
of the matrix A. If the reciprocal of the condition number is
less than machine precision, steps 4-6 are skipped.
4. The system of equations is solved for X using the factored form
of A.
5. Iterative refinement is applied to improve the computed solution
matrix and calculate error bounds and backward error estimates
for it.
6. If equilibration was used, the matrix X is premultiplied by
diag(S) so that it solves the original system before
equilibration.
Arguments
=========
FACT (input) CHARACTER*1
Specifies whether or not the factored form of the matrix A is
supplied on entry, and if not, whether the matrix A should be
equilibrated before it is factored.
= 'F': On entry, AF contains the factored form of A.
If EQUED = 'Y', the matrix A has been equilibrated
with scaling factors given by S. A and AF will not
be modified.
= 'N': The matrix A will be copied to AF and factored.
= 'E': The matrix A will be equilibrated if necessary, then
copied to AF and factored.
UPLO (input) CHARACTER*1
= 'U': Upper triangle of A is stored;
= 'L': Lower triangle of A is stored.
N (input) INTEGER
The number of linear equations, i.e., the order of the
matrix A. N >= 0.
NRHS (input) INTEGER
The number of right hand sides, i.e., the number of columns
of the matrices B and X. NRHS >= 0.
A (input/output) REAL array, dimension (LDA,N)
On entry, the symmetric matrix A, except if FACT = 'F' and
EQUED = 'Y', then A must contain the equilibrated matrix
diag(S)*A*diag(S). If UPLO = 'U', the leading
N-by-N upper triangular part of A contains the upper
triangular part of the matrix A, and the strictly lower
triangular part of A is not referenced. If UPLO = 'L', the
leading N-by-N lower triangular part of A contains the lower
triangular part of the matrix A, and the strictly upper
triangular part of A is not referenced. A is not modified if
FACT = 'F' or 'N', or if FACT = 'E' and EQUED = 'N' on exit.
On exit, if FACT = 'E' and EQUED = 'Y', A is overwritten by
diag(S)*A*diag(S).
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,N).
AF (input or output) REAL array, dimension (LDAF,N)
If FACT = 'F', then AF is an input argument and on entry
contains the triangular factor U or L from the Cholesky
factorization A = U**T*U or A = L*L**T, in the same storage
format as A. If EQUED .ne. 'N', then AF is the factored form
of the equilibrated matrix diag(S)*A*diag(S).
If FACT = 'N', then AF is an output argument and on exit
returns the triangular factor U or L from the Cholesky
factorization A = U**T*U or A = L*L**T of the original
matrix A.
If FACT = 'E', then AF is an output argument and on exit
returns the triangular factor U or L from the Cholesky
factorization A = U**T*U or A = L*L**T of the equilibrated
matrix A (see the description of A for the form of the
equilibrated matrix).
LDAF (input) INTEGER
The leading dimension of the array AF. LDAF >= max(1,N).
EQUED (input or output) CHARACTER*1
Specifies the form of equilibration that was done.
= 'N': No equilibration (always true if FACT = 'N').
= 'Y': Equilibration was done, i.e., A has been replaced by
diag(S) * A * diag(S).
EQUED is an input argument if FACT = 'F'; otherwise, it is an
output argument.
S (input or output) REAL array, dimension (N)
The scale factors for A; not accessed if EQUED = 'N'. S is
an input argument if FACT = 'F'; otherwise, S is an output
argument. If FACT = 'F' and EQUED = 'Y', each element of S
must be positive.
B (input/output) REAL array, dimension (LDB,NRHS)
On entry, the N-by-NRHS right hand side matrix B.
On exit, if EQUED = 'N', B is not modified; if EQUED = 'Y',
B is overwritten by diag(S) * B.
LDB (input) INTEGER
The leading dimension of the array B. LDB >= max(1,N).
X (output) REAL array, dimension (LDX,NRHS)
If INFO = 0, the N-by-NRHS solution matrix X to the original
system of equations. Note that if EQUED = 'Y', A and B are
modified on exit, and the solution to the equilibrated system
is inv(diag(S))*X.
LDX (input) INTEGER
The leading dimension of the array X. LDX >= max(1,N).
RCOND (output) REAL
The estimate of the reciprocal condition number of the matrix
A after equilibration (if done). If RCOND is less than the
machine precision (in particular, if RCOND = 0), the matrix
is singular to working precision. This condition is
indicated by a return code of INFO > 0, and the solution and
error bounds are not computed.
FERR (output) REAL array, dimension (NRHS)
The estimated forward error bound for each solution vector
X(j) (the j-th column of the solution matrix X).
If XTRUE is the true solution corresponding to X(j), FERR(j)
is an estimated upper bound for the magnitude of the largest
element in (X(j) - XTRUE) divided by the magnitude of the
largest element in X(j). The estimate is as reliable as
the estimate for RCOND, and is almost always a slight
overestimate of the true error.
BERR (output) REAL array, dimension (NRHS)
The componentwise relative backward error of each solution
vector X(j) (i.e., the smallest relative change in
any element of A or B that makes X(j) an exact solution).
WORK (workspace) REAL array, dimension (3*N)
IWORK (workspace) INTEGER array, dimension (N)
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, and i is
<= N: the leading minor of order i of A
is not positive definite, so the factorization
could not be completed, and the solution and error
bounds could not be computed.
= N+1: RCOND is less than machine precision. The
factorization has been completed, but the matrix
is singular to working precision, and the solution
and error bounds have not been computed.
=====================================================================
Parameter adjustments
Function Body */
/* System generated locals */
integer a_dim1, a_offset, af_dim1, af_offset, b_dim1, b_offset, x_dim1,
x_offset, i__1, i__2;
real r__1, r__2;
/* Local variables */
static real amax, smin, smax;
static integer i, j;
extern logical lsame_(char *, char *);
static real scond, anorm;
static logical equil, rcequ;
extern doublereal slamch_(char *);
static logical nofact;
extern /* Subroutine */ int xerbla_(char *, integer *);
static real bignum;
static integer infequ;
extern /* Subroutine */ int slacpy_(char *, integer *, integer *, real *,
integer *, real *, integer *), spocon_(char *, integer *,
real *, integer *, real *, real *, real *, integer *, integer *);
extern doublereal slansy_(char *, char *, integer *, real *, integer *,
real *);
static real smlnum;
extern /* Subroutine */ int slaqsy_(char *, integer *, real *, integer *,
real *, real *, real *, char *), spoequ_(integer *
, real *, integer *, real *, real *, real *, integer *), sporfs_(
char *, integer *, integer *, real *, integer *, real *, integer *
, real *, integer *, real *, integer *, real *, real *, real *,
integer *, integer *), spotrf_(char *, integer *, real *,
integer *, integer *), spotrs_(char *, integer *, integer
*, real *, integer *, real *, integer *, integer *);
#define S(I) s[(I)-1]
#define FERR(I) ferr[(I)-1]
#define BERR(I) berr[(I)-1]
#define WORK(I) work[(I)-1]
#define IWORK(I) iwork[(I)-1]
#define A(I,J) a[(I)-1 + ((J)-1)* ( *lda)]
#define AF(I,J) af[(I)-1 + ((J)-1)* ( *ldaf)]
#define B(I,J) b[(I)-1 + ((J)-1)* ( *ldb)]
#define X(I,J) x[(I)-1 + ((J)-1)* ( *ldx)]
*info = 0;
nofact = lsame_(fact, "N");
equil = lsame_(fact, "E");
if (nofact || equil) {
*(unsigned char *)equed = 'N';
rcequ = FALSE_;
} else {
rcequ = lsame_(equed, "Y");
smlnum = slamch_("Safe minimum");
bignum = 1.f / smlnum;
}
/* Test the input parameters. */
if (! nofact && ! equil && ! lsame_(fact, "F")) {
*info = -1;
} else if (! lsame_(uplo, "U") && ! lsame_(uplo, "L")) {
*info = -2;
} else if (*n < 0) {
*info = -3;
} else if (*nrhs < 0) {
*info = -4;
} else if (*lda < max(1,*n)) {
*info = -6;
} else if (*ldaf < max(1,*n)) {
*info = -8;
} else if (lsame_(fact, "F") && ! (rcequ || lsame_(equed, "N"))) {
*info = -9;
} else {
if (rcequ) {
smin = bignum;
smax = 0.f;
i__1 = *n;
for (j = 1; j <= *n; ++j) {
/* Computing MIN */
r__1 = smin, r__2 = S(j);
smin = dmin(r__1,r__2);
/* Computing MAX */
r__1 = smax, r__2 = S(j);
smax = dmax(r__1,r__2);
/* L10: */
}
if (smin <= 0.f) {
*info = -10;
} else if (*n > 0) {
scond = dmax(smin,smlnum) / dmin(smax,bignum);
} else {
scond = 1.f;
}
}
if (*info == 0) {
if (*ldb < max(1,*n)) {
*info = -12;
} else if (*ldx < max(1,*n)) {
*info = -14;
}
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("SPOSVX", &i__1);
return 0;
}
if (equil) {
/* Compute row and column scalings to equilibrate the matrix A.
*/
spoequ_(n, &A(1,1), lda, &S(1), &scond, &amax, &infequ);
if (infequ == 0) {
/* Equilibrate the matrix. */
slaqsy_(uplo, n, &A(1,1), lda, &S(1), &scond, &amax, equed);
rcequ = lsame_(equed, "Y");
}
}
/* Scale the right hand side. */
if (rcequ) {
i__1 = *nrhs;
for (j = 1; j <= *nrhs; ++j) {
i__2 = *n;
for (i = 1; i <= *n; ++i) {
B(i,j) = S(i) * B(i,j);
/* L20: */
}
/* L30: */
}
}
if (nofact || equil) {
/* Compute the Cholesky factorization A = U'*U or A = L*L'. */
slacpy_(uplo, n, n, &A(1,1), lda, &AF(1,1), ldaf);
spotrf_(uplo, n, &AF(1,1), ldaf, info);
/* Return if INFO is non-zero. */
if (*info != 0) {
if (*info > 0) {
*rcond = 0.f;
}
return 0;
}
}
/* Compute the norm of the matrix A. */
anorm = slansy_("1", uplo, n, &A(1,1), lda, &WORK(1));
/* Compute the reciprocal of the condition number of A. */
spocon_(uplo, n, &AF(1,1), ldaf, &anorm, rcond, &WORK(1), &IWORK(1),
info);
/* Return if the matrix is singular to working precision. */
if (*rcond < slamch_("Epsilon")) {
*info = *n + 1;
return 0;
}
/* Compute the solution matrix X. */
slacpy_("Full", n, nrhs, &B(1,1), ldb, &X(1,1), ldx);
spotrs_(uplo, n, nrhs, &AF(1,1), ldaf, &X(1,1), ldx, info);
/* Use iterative refinement to improve the computed solution and
compute error bounds and backward error estimates for it. */
sporfs_(uplo, n, nrhs, &A(1,1), lda, &AF(1,1), ldaf, &B(1,1), ldb, &X(1,1), ldx, &FERR(1), &BERR(1), &WORK(1), &
IWORK(1), info);
/* Transform the solution matrix X to a solution of the original
system. */
if (rcequ) {
i__1 = *nrhs;
for (j = 1; j <= *nrhs; ++j) {
i__2 = *n;
for (i = 1; i <= *n; ++i) {
X(i,j) = S(i) * X(i,j);
/* L40: */
}
/* L50: */
}
i__1 = *nrhs;
for (j = 1; j <= *nrhs; ++j) {
FERR(j) /= scond;
/* L60: */
}
}
return 0;
/* End of SPOSVX */
} /* sposvx_ */
/* Subroutine */ int schkeq_(real *thresh, integer *nout)
{
/* Format strings */
static char fmt_9999[] = "(1x,\002All tests for \002,a3,\002 routines pa"
"ssed the threshold\002)";
static char fmt_9998[] = "(\002 SGEEQU failed test with value \002,e10"
".3,\002 exceeding\002,\002 threshold \002,e10.3)";
static char fmt_9997[] = "(\002 SGBEQU failed test with value \002,e10"
".3,\002 exceeding\002,\002 threshold \002,e10.3)";
static char fmt_9996[] = "(\002 SPOEQU failed test with value \002,e10"
".3,\002 exceeding\002,\002 threshold \002,e10.3)";
static char fmt_9995[] = "(\002 SPPEQU failed test with value \002,e10"
".3,\002 exceeding\002,\002 threshold \002,e10.3)";
static char fmt_9994[] = "(\002 SPBEQU failed test with value \002,e10"
".3,\002 exceeding\002,\002 threshold \002,e10.3)";
/* System generated locals */
integer i__1, i__2, i__3, i__4, i__5, i__6, i__7, i__8;
real r__1, r__2, r__3;
/* Local variables */
real a[25] /* was [5][5] */, c__[5];
integer i__, j, m, n;
real r__[5], ab[65] /* was [13][5] */, ap[15];
integer kl;
logical ok;
integer ku;
real eps, pow[11];
integer info;
char path[3];
real norm, rpow[11], ccond, rcond, rcmin, rcmax, ratio;
real reslts[5];
/* Fortran I/O blocks */
static cilist io___25 = { 0, 0, 0, 0, 0 };
static cilist io___26 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___27 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___28 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___29 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___30 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___31 = { 0, 0, 0, fmt_9994, 0 };
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* SCHKEQ tests SGEEQU, SGBEQU, SPOEQU, SPPEQU and SPBEQU */
/* Arguments */
/* ========= */
/* THRESH (input) REAL */
/* Threshold for testing routines. Should be between 2 and 10. */
/* NOUT (input) INTEGER */
/* The unit number for output. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
s_copy(path, "Single precision", (ftnlen)1, (ftnlen)16);
s_copy(path + 1, "EQ", (ftnlen)2, (ftnlen)2);
eps = slamch_("P");
for (i__ = 1; i__ <= 5; ++i__) {
reslts[i__ - 1] = 0.f;
/* L10: */
}
for (i__ = 1; i__ <= 11; ++i__) {
i__1 = i__ - 1;
pow[i__ - 1] = pow_ri(&c_b7, &i__1);
rpow[i__ - 1] = 1.f / pow[i__ - 1];
/* L20: */
}
/* Test SGEEQU */
for (n = 0; n <= 5; ++n) {
for (m = 0; m <= 5; ++m) {
for (j = 1; j <= 5; ++j) {
for (i__ = 1; i__ <= 5; ++i__) {
if (i__ <= m && j <= n) {
i__1 = i__ + j;
a[i__ + j * 5 - 6] = pow[i__ + j] * pow_ii(&c_n1, &
i__1);
} else {
a[i__ + j * 5 - 6] = 0.f;
}
/* L30: */
}
/* L40: */
}
sgeequ_(&m, &n, a, &c__5, r__, c__, &rcond, &ccond, &norm, &info);
if (info != 0) {
reslts[0] = 1.f;
} else {
if (n != 0 && m != 0) {
/* Computing MAX */
r__2 = reslts[0], r__3 = (r__1 = (rcond - rpow[m - 1]) /
rpow[m - 1], dabs(r__1));
reslts[0] = dmax(r__2,r__3);
/* Computing MAX */
r__2 = reslts[0], r__3 = (r__1 = (ccond - rpow[n - 1]) /
rpow[n - 1], dabs(r__1));
reslts[0] = dmax(r__2,r__3);
/* Computing MAX */
r__2 = reslts[0], r__3 = (r__1 = (norm - pow[n + m]) /
pow[n + m], dabs(r__1));
reslts[0] = dmax(r__2,r__3);
i__1 = m;
for (i__ = 1; i__ <= i__1; ++i__) {
/* Computing MAX */
r__2 = reslts[0], r__3 = (r__1 = (r__[i__ - 1] - rpow[
i__ + n]) / rpow[i__ + n], dabs(r__1));
reslts[0] = dmax(r__2,r__3);
/* L50: */
}
i__1 = n;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
r__2 = reslts[0], r__3 = (r__1 = (c__[j - 1] - pow[n
- j]) / pow[n - j], dabs(r__1));
reslts[0] = dmax(r__2,r__3);
/* L60: */
}
}
}
/* L70: */
}
/* L80: */
}
/* Test with zero rows and columns */
for (j = 1; j <= 5; ++j) {
a[j * 5 - 2] = 0.f;
/* L90: */
}
sgeequ_(&c__5, &c__5, a, &c__5, r__, c__, &rcond, &ccond, &norm, &info);
if (info != 4) {
reslts[0] = 1.f;
}
for (j = 1; j <= 5; ++j) {
a[j * 5 - 2] = 1.f;
/* L100: */
}
for (i__ = 1; i__ <= 5; ++i__) {
a[i__ + 14] = 0.f;
/* L110: */
}
sgeequ_(&c__5, &c__5, a, &c__5, r__, c__, &rcond, &ccond, &norm, &info);
if (info != 9) {
reslts[0] = 1.f;
}
reslts[0] /= eps;
/* Test SGBEQU */
for (n = 0; n <= 5; ++n) {
for (m = 0; m <= 5; ++m) {
/* Computing MAX */
i__2 = m - 1;
i__1 = max(i__2,0);
for (kl = 0; kl <= i__1; ++kl) {
/* Computing MAX */
i__3 = n - 1;
i__2 = max(i__3,0);
for (ku = 0; ku <= i__2; ++ku) {
for (j = 1; j <= 5; ++j) {
for (i__ = 1; i__ <= 13; ++i__) {
ab[i__ + j * 13 - 14] = 0.f;
/* L120: */
}
/* L130: */
}
i__3 = n;
for (j = 1; j <= i__3; ++j) {
i__4 = m;
for (i__ = 1; i__ <= i__4; ++i__) {
/* Computing MIN */
i__5 = m, i__6 = j + kl;
/* Computing MAX */
i__7 = 1, i__8 = j - ku;
if (i__ <= min(i__5,i__6) && i__ >= max(i__7,i__8)
&& j <= n) {
i__5 = i__ + j;
ab[ku + 1 + i__ - j + j * 13 - 14] = pow[i__
+ j] * pow_ii(&c_n1, &i__5);
}
/* L140: */
}
/* L150: */
}
sgbequ_(&m, &n, &kl, &ku, ab, &c__13, r__, c__, &rcond, &
ccond, &norm, &info);
if (info != 0) {
if (! (n + kl < m && info == n + kl + 1 || m + ku < n
&& info == (m << 1) + ku + 1)) {
reslts[1] = 1.f;
}
} else {
if (n != 0 && m != 0) {
rcmin = r__[0];
rcmax = r__[0];
i__3 = m;
for (i__ = 1; i__ <= i__3; ++i__) {
/* Computing MIN */
r__1 = rcmin, r__2 = r__[i__ - 1];
rcmin = dmin(r__1,r__2);
/* Computing MAX */
r__1 = rcmax, r__2 = r__[i__ - 1];
rcmax = dmax(r__1,r__2);
/* L160: */
}
ratio = rcmin / rcmax;
/* Computing MAX */
r__2 = reslts[1], r__3 = (r__1 = (rcond - ratio) /
ratio, dabs(r__1));
reslts[1] = dmax(r__2,r__3);
rcmin = c__[0];
rcmax = c__[0];
i__3 = n;
for (j = 1; j <= i__3; ++j) {
/* Computing MIN */
r__1 = rcmin, r__2 = c__[j - 1];
rcmin = dmin(r__1,r__2);
/* Computing MAX */
r__1 = rcmax, r__2 = c__[j - 1];
rcmax = dmax(r__1,r__2);
/* L170: */
}
ratio = rcmin / rcmax;
/* Computing MAX */
r__2 = reslts[1], r__3 = (r__1 = (ccond - ratio) /
ratio, dabs(r__1));
reslts[1] = dmax(r__2,r__3);
/* Computing MAX */
r__2 = reslts[1], r__3 = (r__1 = (norm - pow[n +
m]) / pow[n + m], dabs(r__1));
reslts[1] = dmax(r__2,r__3);
i__3 = m;
for (i__ = 1; i__ <= i__3; ++i__) {
rcmax = 0.f;
i__4 = n;
for (j = 1; j <= i__4; ++j) {
if (i__ <= j + kl && i__ >= j - ku) {
ratio = (r__1 = r__[i__ - 1] * pow[
i__ + j] * c__[j - 1], dabs(
r__1));
rcmax = dmax(rcmax,ratio);
}
/* L180: */
}
/* Computing MAX */
r__2 = reslts[1], r__3 = (r__1 = 1.f - rcmax,
dabs(r__1));
reslts[1] = dmax(r__2,r__3);
/* L190: */
}
i__3 = n;
for (j = 1; j <= i__3; ++j) {
rcmax = 0.f;
i__4 = m;
for (i__ = 1; i__ <= i__4; ++i__) {
if (i__ <= j + kl && i__ >= j - ku) {
ratio = (r__1 = r__[i__ - 1] * pow[
i__ + j] * c__[j - 1], dabs(
r__1));
rcmax = dmax(rcmax,ratio);
}
/* L200: */
}
/* Computing MAX */
r__2 = reslts[1], r__3 = (r__1 = 1.f - rcmax,
dabs(r__1));
reslts[1] = dmax(r__2,r__3);
/* L210: */
}
}
}
/* L220: */
}
/* L230: */
}
/* L240: */
}
/* L250: */
}
reslts[1] /= eps;
/* Test SPOEQU */
for (n = 0; n <= 5; ++n) {
for (i__ = 1; i__ <= 5; ++i__) {
for (j = 1; j <= 5; ++j) {
if (i__ <= n && j == i__) {
i__1 = i__ + j;
a[i__ + j * 5 - 6] = pow[i__ + j] * pow_ii(&c_n1, &i__1);
} else {
a[i__ + j * 5 - 6] = 0.f;
}
/* L260: */
}
/* L270: */
}
spoequ_(&n, a, &c__5, r__, &rcond, &norm, &info);
if (info != 0) {
reslts[2] = 1.f;
} else {
if (n != 0) {
/* Computing MAX */
r__2 = reslts[2], r__3 = (r__1 = (rcond - rpow[n - 1]) / rpow[
n - 1], dabs(r__1));
reslts[2] = dmax(r__2,r__3);
/* Computing MAX */
r__2 = reslts[2], r__3 = (r__1 = (norm - pow[n * 2]) / pow[n *
2], dabs(r__1));
reslts[2] = dmax(r__2,r__3);
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
/* Computing MAX */
r__2 = reslts[2], r__3 = (r__1 = (r__[i__ - 1] - rpow[i__]
) / rpow[i__], dabs(r__1));
reslts[2] = dmax(r__2,r__3);
/* L280: */
}
}
}
/* L290: */
}
a[18] = -1.f;
spoequ_(&c__5, a, &c__5, r__, &rcond, &norm, &info);
if (info != 4) {
reslts[2] = 1.f;
}
reslts[2] /= eps;
/* Test SPPEQU */
for (n = 0; n <= 5; ++n) {
/* Upper triangular packed storage */
i__1 = n * (n + 1) / 2;
for (i__ = 1; i__ <= i__1; ++i__) {
ap[i__ - 1] = 0.f;
/* L300: */
}
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
ap[i__ * (i__ + 1) / 2 - 1] = pow[i__ * 2];
/* L310: */
}
sppequ_("U", &n, ap, r__, &rcond, &norm, &info);
if (info != 0) {
reslts[3] = 1.f;
} else {
if (n != 0) {
/* Computing MAX */
r__2 = reslts[3], r__3 = (r__1 = (rcond - rpow[n - 1]) / rpow[
n - 1], dabs(r__1));
reslts[3] = dmax(r__2,r__3);
/* Computing MAX */
r__2 = reslts[3], r__3 = (r__1 = (norm - pow[n * 2]) / pow[n *
2], dabs(r__1));
reslts[3] = dmax(r__2,r__3);
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
/* Computing MAX */
r__2 = reslts[3], r__3 = (r__1 = (r__[i__ - 1] - rpow[i__]
) / rpow[i__], dabs(r__1));
reslts[3] = dmax(r__2,r__3);
/* L320: */
}
}
}
/* Lower triangular packed storage */
i__1 = n * (n + 1) / 2;
for (i__ = 1; i__ <= i__1; ++i__) {
ap[i__ - 1] = 0.f;
/* L330: */
}
j = 1;
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
ap[j - 1] = pow[i__ * 2];
j += n - i__ + 1;
/* L340: */
}
sppequ_("L", &n, ap, r__, &rcond, &norm, &info);
if (info != 0) {
reslts[3] = 1.f;
} else {
if (n != 0) {
/* Computing MAX */
r__2 = reslts[3], r__3 = (r__1 = (rcond - rpow[n - 1]) / rpow[
n - 1], dabs(r__1));
reslts[3] = dmax(r__2,r__3);
/* Computing MAX */
r__2 = reslts[3], r__3 = (r__1 = (norm - pow[n * 2]) / pow[n *
2], dabs(r__1));
reslts[3] = dmax(r__2,r__3);
i__1 = n;
for (i__ = 1; i__ <= i__1; ++i__) {
/* Computing MAX */
r__2 = reslts[3], r__3 = (r__1 = (r__[i__ - 1] - rpow[i__]
) / rpow[i__], dabs(r__1));
reslts[3] = dmax(r__2,r__3);
/* L350: */
}
}
}
/* L360: */
}
i__ = 13;
ap[i__ - 1] = -1.f;
sppequ_("L", &c__5, ap, r__, &rcond, &norm, &info);
if (info != 4) {
reslts[3] = 1.f;
}
reslts[3] /= eps;
/* Test SPBEQU */
for (n = 0; n <= 5; ++n) {
/* Computing MAX */
i__2 = n - 1;
i__1 = max(i__2,0);
for (kl = 0; kl <= i__1; ++kl) {
/* Test upper triangular storage */
for (j = 1; j <= 5; ++j) {
for (i__ = 1; i__ <= 13; ++i__) {
ab[i__ + j * 13 - 14] = 0.f;
/* L370: */
}
/* L380: */
}
i__2 = n;
for (j = 1; j <= i__2; ++j) {
ab[kl + 1 + j * 13 - 14] = pow[j * 2];
/* L390: */
}
spbequ_("U", &n, &kl, ab, &c__13, r__, &rcond, &norm, &info);
if (info != 0) {
reslts[4] = 1.f;
} else {
if (n != 0) {
/* Computing MAX */
r__2 = reslts[4], r__3 = (r__1 = (rcond - rpow[n - 1]) /
rpow[n - 1], dabs(r__1));
reslts[4] = dmax(r__2,r__3);
/* Computing MAX */
r__2 = reslts[4], r__3 = (r__1 = (norm - pow[n * 2]) /
pow[n * 2], dabs(r__1));
reslts[4] = dmax(r__2,r__3);
i__2 = n;
for (i__ = 1; i__ <= i__2; ++i__) {
/* Computing MAX */
r__2 = reslts[4], r__3 = (r__1 = (r__[i__ - 1] - rpow[
i__]) / rpow[i__], dabs(r__1));
reslts[4] = dmax(r__2,r__3);
/* L400: */
}
}
}
if (n != 0) {
/* Computing MAX */
i__2 = n - 1;
ab[kl + 1 + max(i__2,1) * 13 - 14] = -1.f;
spbequ_("U", &n, &kl, ab, &c__13, r__, &rcond, &norm, &info);
/* Computing MAX */
i__2 = n - 1;
if (info != max(i__2,1)) {
reslts[4] = 1.f;
}
}
/* Test lower triangular storage */
for (j = 1; j <= 5; ++j) {
for (i__ = 1; i__ <= 13; ++i__) {
ab[i__ + j * 13 - 14] = 0.f;
/* L410: */
}
/* L420: */
}
i__2 = n;
for (j = 1; j <= i__2; ++j) {
ab[j * 13 - 13] = pow[j * 2];
/* L430: */
}
spbequ_("L", &n, &kl, ab, &c__13, r__, &rcond, &norm, &info);
if (info != 0) {
reslts[4] = 1.f;
} else {
if (n != 0) {
/* Computing MAX */
r__2 = reslts[4], r__3 = (r__1 = (rcond - rpow[n - 1]) /
rpow[n - 1], dabs(r__1));
reslts[4] = dmax(r__2,r__3);
/* Computing MAX */
r__2 = reslts[4], r__3 = (r__1 = (norm - pow[n * 2]) /
pow[n * 2], dabs(r__1));
reslts[4] = dmax(r__2,r__3);
i__2 = n;
for (i__ = 1; i__ <= i__2; ++i__) {
/* Computing MAX */
r__2 = reslts[4], r__3 = (r__1 = (r__[i__ - 1] - rpow[
i__]) / rpow[i__], dabs(r__1));
reslts[4] = dmax(r__2,r__3);
/* L440: */
}
}
}
if (n != 0) {
/* Computing MAX */
i__2 = n - 1;
ab[max(i__2,1) * 13 - 13] = -1.f;
spbequ_("L", &n, &kl, ab, &c__13, r__, &rcond, &norm, &info);
/* Computing MAX */
i__2 = n - 1;
if (info != max(i__2,1)) {
reslts[4] = 1.f;
}
}
/* L450: */
}
/* L460: */
}
reslts[4] /= eps;
ok = reslts[0] <= *thresh && reslts[1] <= *thresh && reslts[2] <= *thresh
&& reslts[3] <= *thresh && reslts[4] <= *thresh;
io___25.ciunit = *nout;
s_wsle(&io___25);
e_wsle();
if (ok) {
io___26.ciunit = *nout;
s_wsfe(&io___26);
do_fio(&c__1, path, (ftnlen)3);
e_wsfe();
} else {
if (reslts[0] > *thresh) {
io___27.ciunit = *nout;
s_wsfe(&io___27);
do_fio(&c__1, (char *)&reslts[0], (ftnlen)sizeof(real));
do_fio(&c__1, (char *)&(*thresh), (ftnlen)sizeof(real));
e_wsfe();
}
if (reslts[1] > *thresh) {
io___28.ciunit = *nout;
s_wsfe(&io___28);
do_fio(&c__1, (char *)&reslts[1], (ftnlen)sizeof(real));
do_fio(&c__1, (char *)&(*thresh), (ftnlen)sizeof(real));
e_wsfe();
}
if (reslts[2] > *thresh) {
io___29.ciunit = *nout;
s_wsfe(&io___29);
do_fio(&c__1, (char *)&reslts[2], (ftnlen)sizeof(real));
do_fio(&c__1, (char *)&(*thresh), (ftnlen)sizeof(real));
e_wsfe();
}
if (reslts[3] > *thresh) {
io___30.ciunit = *nout;
s_wsfe(&io___30);
do_fio(&c__1, (char *)&reslts[3], (ftnlen)sizeof(real));
do_fio(&c__1, (char *)&(*thresh), (ftnlen)sizeof(real));
e_wsfe();
}
if (reslts[4] > *thresh) {
io___31.ciunit = *nout;
s_wsfe(&io___31);
do_fio(&c__1, (char *)&reslts[4], (ftnlen)sizeof(real));
do_fio(&c__1, (char *)&(*thresh), (ftnlen)sizeof(real));
e_wsfe();
}
}
return 0;
/* End of SCHKEQ */
} /* schkeq_ */
/* Subroutine */ int serrpo_(char *path, integer *nunit)
{
/* Builtin functions */
integer s_wsle(cilist *), e_wsle(void);
/* Subroutine */ int s_copy(char *, char *, ftnlen, ftnlen);
/* Local variables */
static integer info;
static real anrm, a[16] /* was [4][4] */, b[4];
static integer i__, j;
static real w[12], x[4], rcond;
static char c2[2];
static real r1[4], r2[4];
extern /* Subroutine */ int spbtf2_(char *, integer *, integer *, real *,
integer *, integer *);
static real af[16] /* was [4][4] */;
extern /* Subroutine */ int spotf2_(char *, integer *, real *, integer *,
integer *);
static integer iw[4];
extern /* Subroutine */ int alaesm_(char *, logical *, integer *);
extern logical lsamen_(integer *, char *, char *);
extern /* Subroutine */ int chkxer_(char *, integer *, integer *, logical
*, logical *), spbcon_(char *, integer *, integer *, real
*, integer *, real *, real *, real *, integer *, integer *), spbequ_(char *, integer *, integer *, real *, integer *,
real *, real *, real *, integer *), spbrfs_(char *,
integer *, integer *, integer *, real *, integer *, real *,
integer *, real *, integer *, real *, integer *, real *, real *,
real *, integer *, integer *), spbtrf_(char *, integer *,
integer *, real *, integer *, integer *), spocon_(char *,
integer *, real *, integer *, real *, real *, real *, integer *,
integer *), sppcon_(char *, integer *, real *, real *,
real *, real *, integer *, integer *), spoequ_(integer *,
real *, integer *, real *, real *, real *, integer *), spbtrs_(
char *, integer *, integer *, integer *, real *, integer *, real *
, integer *, integer *), sporfs_(char *, integer *,
integer *, real *, integer *, real *, integer *, real *, integer *
, real *, integer *, real *, real *, real *, integer *, integer *), spotrf_(char *, integer *, real *, integer *, integer *), spotri_(char *, integer *, real *, integer *, integer *), sppequ_(char *, integer *, real *, real *, real *, real
*, integer *), spprfs_(char *, integer *, integer *, real
*, real *, real *, integer *, real *, integer *, real *, real *,
real *, integer *, integer *), spptrf_(char *, integer *,
real *, integer *), spptri_(char *, integer *, real *,
integer *), spotrs_(char *, integer *, integer *, real *,
integer *, real *, integer *, integer *), spptrs_(char *,
integer *, integer *, real *, real *, integer *, integer *);
/* Fortran I/O blocks */
static cilist io___1 = { 0, 0, 0, 0, 0 };
#define a_ref(a_1,a_2) a[(a_2)*4 + a_1 - 5]
#define af_ref(a_1,a_2) af[(a_2)*4 + a_1 - 5]
/* -- LAPACK test routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
February 29, 1992
Purpose
=======
SERRPO tests the error exits for the REAL routines
for symmetric positive definite matrices.
Arguments
=========
PATH (input) CHARACTER*3
The LAPACK path name for the routines to be tested.
NUNIT (input) INTEGER
The unit number for output.
===================================================================== */
infoc_1.nout = *nunit;
io___1.ciunit = infoc_1.nout;
s_wsle(&io___1);
e_wsle();
s_copy(c2, path + 1, (ftnlen)2, (ftnlen)2);
/* Set the variables to innocuous values. */
for (j = 1; j <= 4; ++j) {
for (i__ = 1; i__ <= 4; ++i__) {
a_ref(i__, j) = 1.f / (real) (i__ + j);
af_ref(i__, j) = 1.f / (real) (i__ + j);
/* L10: */
}
b[j - 1] = 0.f;
r1[j - 1] = 0.f;
r2[j - 1] = 0.f;
w[j - 1] = 0.f;
x[j - 1] = 0.f;
iw[j - 1] = j;
/* L20: */
}
infoc_1.ok = TRUE_;
if (lsamen_(&c__2, c2, "PO")) {
/* Test error exits of the routines that use the Cholesky
decomposition of a symmetric positive definite matrix.
SPOTRF */
s_copy(srnamc_1.srnamt, "SPOTRF", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spotrf_("/", &c__0, a, &c__1, &info);
chkxer_("SPOTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spotrf_("U", &c_n1, a, &c__1, &info);
chkxer_("SPOTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spotrf_("U", &c__2, a, &c__1, &info);
chkxer_("SPOTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPOTF2 */
s_copy(srnamc_1.srnamt, "SPOTF2", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spotf2_("/", &c__0, a, &c__1, &info);
chkxer_("SPOTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spotf2_("U", &c_n1, a, &c__1, &info);
chkxer_("SPOTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spotf2_("U", &c__2, a, &c__1, &info);
chkxer_("SPOTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPOTRI */
s_copy(srnamc_1.srnamt, "SPOTRI", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spotri_("/", &c__0, a, &c__1, &info);
chkxer_("SPOTRI", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spotri_("U", &c_n1, a, &c__1, &info);
chkxer_("SPOTRI", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spotri_("U", &c__2, a, &c__1, &info);
chkxer_("SPOTRI", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPOTRS */
s_copy(srnamc_1.srnamt, "SPOTRS", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spotrs_("/", &c__0, &c__0, a, &c__1, b, &c__1, &info);
chkxer_("SPOTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spotrs_("U", &c_n1, &c__0, a, &c__1, b, &c__1, &info);
chkxer_("SPOTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spotrs_("U", &c__0, &c_n1, a, &c__1, b, &c__1, &info);
chkxer_("SPOTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
spotrs_("U", &c__2, &c__1, a, &c__1, b, &c__2, &info);
chkxer_("SPOTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 7;
spotrs_("U", &c__2, &c__1, a, &c__2, b, &c__1, &info);
chkxer_("SPOTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPORFS */
s_copy(srnamc_1.srnamt, "SPORFS", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
sporfs_("/", &c__0, &c__0, a, &c__1, af, &c__1, b, &c__1, x, &c__1,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
sporfs_("U", &c_n1, &c__0, a, &c__1, af, &c__1, b, &c__1, x, &c__1,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
sporfs_("U", &c__0, &c_n1, a, &c__1, af, &c__1, b, &c__1, x, &c__1,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
sporfs_("U", &c__2, &c__1, a, &c__1, af, &c__2, b, &c__2, x, &c__2,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 7;
sporfs_("U", &c__2, &c__1, a, &c__2, af, &c__1, b, &c__2, x, &c__2,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 9;
sporfs_("U", &c__2, &c__1, a, &c__2, af, &c__2, b, &c__1, x, &c__2,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 11;
sporfs_("U", &c__2, &c__1, a, &c__2, af, &c__2, b, &c__2, x, &c__1,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPOCON */
s_copy(srnamc_1.srnamt, "SPOCON", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spocon_("/", &c__0, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPOCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spocon_("U", &c_n1, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPOCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spocon_("U", &c__2, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPOCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPOEQU */
s_copy(srnamc_1.srnamt, "SPOEQU", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spoequ_(&c_n1, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPOEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spoequ_(&c__2, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPOEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
} else if (lsamen_(&c__2, c2, "PP")) {
/* Test error exits of the routines that use the Cholesky
decomposition of a symmetric positive definite packed matrix.
SPPTRF */
s_copy(srnamc_1.srnamt, "SPPTRF", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spptrf_("/", &c__0, a, &info);
chkxer_("SPPTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spptrf_("U", &c_n1, a, &info);
chkxer_("SPPTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPPTRI */
s_copy(srnamc_1.srnamt, "SPPTRI", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spptri_("/", &c__0, a, &info);
chkxer_("SPPTRI", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spptri_("U", &c_n1, a, &info);
chkxer_("SPPTRI", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPPTRS */
s_copy(srnamc_1.srnamt, "SPPTRS", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spptrs_("/", &c__0, &c__0, a, b, &c__1, &info);
chkxer_("SPPTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spptrs_("U", &c_n1, &c__0, a, b, &c__1, &info);
chkxer_("SPPTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spptrs_("U", &c__0, &c_n1, a, b, &c__1, &info);
chkxer_("SPPTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 6;
spptrs_("U", &c__2, &c__1, a, b, &c__1, &info);
chkxer_("SPPTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPPRFS */
s_copy(srnamc_1.srnamt, "SPPRFS", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spprfs_("/", &c__0, &c__0, a, af, b, &c__1, x, &c__1, r1, r2, w, iw, &
info);
chkxer_("SPPRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spprfs_("U", &c_n1, &c__0, a, af, b, &c__1, x, &c__1, r1, r2, w, iw, &
info);
chkxer_("SPPRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spprfs_("U", &c__0, &c_n1, a, af, b, &c__1, x, &c__1, r1, r2, w, iw, &
info);
chkxer_("SPPRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 7;
spprfs_("U", &c__2, &c__1, a, af, b, &c__1, x, &c__2, r1, r2, w, iw, &
info);
chkxer_("SPPRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 9;
spprfs_("U", &c__2, &c__1, a, af, b, &c__2, x, &c__1, r1, r2, w, iw, &
info);
chkxer_("SPPRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPPCON */
s_copy(srnamc_1.srnamt, "SPPCON", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
sppcon_("/", &c__0, a, &anrm, &rcond, w, iw, &info);
chkxer_("SPPCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
sppcon_("U", &c_n1, a, &anrm, &rcond, w, iw, &info);
chkxer_("SPPCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPPEQU */
s_copy(srnamc_1.srnamt, "SPPEQU", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
sppequ_("/", &c__0, a, r1, &rcond, &anrm, &info);
chkxer_("SPPEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
sppequ_("U", &c_n1, a, r1, &rcond, &anrm, &info);
chkxer_("SPPEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
} else if (lsamen_(&c__2, c2, "PB")) {
/* Test error exits of the routines that use the Cholesky
decomposition of a symmetric positive definite band matrix.
SPBTRF */
s_copy(srnamc_1.srnamt, "SPBTRF", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spbtrf_("/", &c__0, &c__0, a, &c__1, &info);
chkxer_("SPBTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbtrf_("U", &c_n1, &c__0, a, &c__1, &info);
chkxer_("SPBTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbtrf_("U", &c__1, &c_n1, a, &c__1, &info);
chkxer_("SPBTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
spbtrf_("U", &c__2, &c__1, a, &c__1, &info);
chkxer_("SPBTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPBTF2 */
s_copy(srnamc_1.srnamt, "SPBTF2", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spbtf2_("/", &c__0, &c__0, a, &c__1, &info);
chkxer_("SPBTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbtf2_("U", &c_n1, &c__0, a, &c__1, &info);
chkxer_("SPBTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbtf2_("U", &c__1, &c_n1, a, &c__1, &info);
chkxer_("SPBTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
spbtf2_("U", &c__2, &c__1, a, &c__1, &info);
chkxer_("SPBTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPBTRS */
s_copy(srnamc_1.srnamt, "SPBTRS", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spbtrs_("/", &c__0, &c__0, &c__0, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbtrs_("U", &c_n1, &c__0, &c__0, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbtrs_("U", &c__1, &c_n1, &c__0, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spbtrs_("U", &c__0, &c__0, &c_n1, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 6;
spbtrs_("U", &c__2, &c__1, &c__1, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 8;
spbtrs_("U", &c__2, &c__0, &c__1, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPBRFS */
s_copy(srnamc_1.srnamt, "SPBRFS", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spbrfs_("/", &c__0, &c__0, &c__0, a, &c__1, af, &c__1, b, &c__1, x, &
c__1, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbrfs_("U", &c_n1, &c__0, &c__0, a, &c__1, af, &c__1, b, &c__1, x, &
c__1, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbrfs_("U", &c__1, &c_n1, &c__0, a, &c__1, af, &c__1, b, &c__1, x, &
c__1, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spbrfs_("U", &c__0, &c__0, &c_n1, a, &c__1, af, &c__1, b, &c__1, x, &
c__1, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 6;
spbrfs_("U", &c__2, &c__1, &c__1, a, &c__1, af, &c__2, b, &c__2, x, &
c__2, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 8;
spbrfs_("U", &c__2, &c__1, &c__1, a, &c__2, af, &c__1, b, &c__2, x, &
c__2, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 10;
spbrfs_("U", &c__2, &c__0, &c__1, a, &c__1, af, &c__1, b, &c__1, x, &
c__2, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 12;
spbrfs_("U", &c__2, &c__0, &c__1, a, &c__1, af, &c__1, b, &c__2, x, &
c__1, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPBCON */
s_copy(srnamc_1.srnamt, "SPBCON", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spbcon_("/", &c__0, &c__0, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPBCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbcon_("U", &c_n1, &c__0, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPBCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbcon_("U", &c__1, &c_n1, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPBCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
spbcon_("U", &c__2, &c__1, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPBCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPBEQU */
s_copy(srnamc_1.srnamt, "SPBEQU", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
spbequ_("/", &c__0, &c__0, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPBEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbequ_("U", &c_n1, &c__0, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPBEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbequ_("U", &c__1, &c_n1, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPBEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
spbequ_("U", &c__2, &c__1, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPBEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
}
/* Print a summary line. */
alaesm_(path, &infoc_1.ok, &infoc_1.nout);
return 0;
/* End of SERRPO */
} /* serrpo_ */
/* Subroutine */ int sposvx_(char *fact, char *uplo, integer *n, integer *
nrhs, real *a, integer *lda, real *af, integer *ldaf, char *equed,
real *s, real *b, integer *ldb, real *x, integer *ldx, real *rcond,
real *ferr, real *berr, real *work, integer *iwork, integer *info,
ftnlen fact_len, ftnlen uplo_len, ftnlen equed_len)
{
/* System generated locals */
integer a_dim1, a_offset, af_dim1, af_offset, b_dim1, b_offset, x_dim1,
x_offset, i__1, i__2;
real r__1, r__2;
/* Local variables */
static integer i__, j;
static real amax, smin, smax;
extern logical lsame_(char *, char *, ftnlen, ftnlen);
static real scond, anorm;
static logical equil, rcequ;
extern doublereal slamch_(char *, ftnlen);
static logical nofact;
extern /* Subroutine */ int xerbla_(char *, integer *, ftnlen);
static real bignum;
static integer infequ;
extern /* Subroutine */ int slacpy_(char *, integer *, integer *, real *,
integer *, real *, integer *, ftnlen), spocon_(char *, integer *,
real *, integer *, real *, real *, real *, integer *, integer *,
ftnlen);
extern doublereal slansy_(char *, char *, integer *, real *, integer *,
real *, ftnlen, ftnlen);
static real smlnum;
extern /* Subroutine */ int slaqsy_(char *, integer *, real *, integer *,
real *, real *, real *, char *, ftnlen, ftnlen), spoequ_(integer *
, real *, integer *, real *, real *, real *, integer *), sporfs_(
char *, integer *, integer *, real *, integer *, real *, integer *
, real *, integer *, real *, integer *, real *, real *, real *,
integer *, integer *, ftnlen), spotrf_(char *, integer *, real *,
integer *, integer *, ftnlen), spotrs_(char *, integer *, integer
*, real *, integer *, real *, integer *, integer *, ftnlen);
/* -- LAPACK driver routine (version 3.0) -- */
/* Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd., */
/* Courant Institute, Argonne National Lab, and Rice University */
/* June 30, 1999 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* SPOSVX uses the Cholesky factorization A = U**T*U or A = L*L**T to */
/* compute the solution to a real system of linear equations */
/* A * X = B, */
/* where A is an N-by-N symmetric positive definite matrix and X and B */
/* are N-by-NRHS matrices. */
/* Error bounds on the solution and a condition estimate are also */
/* provided. */
/* Description */
/* =========== */
/* The following steps are performed: */
/* 1. If FACT = 'E', real scaling factors are computed to equilibrate */
/* the system: */
/* diag(S) * A * diag(S) * inv(diag(S)) * X = diag(S) * B */
/* Whether or not the system will be equilibrated depends on the */
/* scaling of the matrix A, but if equilibration is used, A is */
/* overwritten by diag(S)*A*diag(S) and B by diag(S)*B. */
/* 2. If FACT = 'N' or 'E', the Cholesky decomposition is used to */
/* factor the matrix A (after equilibration if FACT = 'E') as */
/* A = U**T* U, if UPLO = 'U', or */
/* A = L * L**T, if UPLO = 'L', */
/* where U is an upper triangular matrix and L is a lower triangular */
/* matrix. */
/* 3. If the leading i-by-i principal minor is not positive definite, */
/* then the routine returns with INFO = i. Otherwise, the factored */
/* form of A is used to estimate the condition number of the matrix */
/* A. If the reciprocal of the condition number is less than machine */
/* precision, INFO = N+1 is returned as a warning, but the routine */
/* still goes on to solve for X and compute error bounds as */
/* described below. */
/* 4. The system of equations is solved for X using the factored form */
/* of A. */
/* 5. Iterative refinement is applied to improve the computed solution */
/* matrix and calculate error bounds and backward error estimates */
/* for it. */
/* 6. If equilibration was used, the matrix X is premultiplied by */
/* diag(S) so that it solves the original system before */
/* equilibration. */
/* Arguments */
/* ========= */
/* FACT (input) CHARACTER*1 */
/* Specifies whether or not the factored form of the matrix A is */
/* supplied on entry, and if not, whether the matrix A should be */
/* equilibrated before it is factored. */
/* = 'F': On entry, AF contains the factored form of A. */
/* If EQUED = 'Y', the matrix A has been equilibrated */
/* with scaling factors given by S. A and AF will not */
/* be modified. */
/* = 'N': The matrix A will be copied to AF and factored. */
/* = 'E': The matrix A will be equilibrated if necessary, then */
/* copied to AF and factored. */
/* UPLO (input) CHARACTER*1 */
/* = 'U': Upper triangle of A is stored; */
/* = 'L': Lower triangle of A is stored. */
/* N (input) INTEGER */
/* The number of linear equations, i.e., the order of the */
/* matrix A. N >= 0. */
/* NRHS (input) INTEGER */
/* The number of right hand sides, i.e., the number of columns */
/* of the matrices B and X. NRHS >= 0. */
/* A (input/output) REAL array, dimension (LDA,N) */
/* On entry, the symmetric matrix A, except if FACT = 'F' and */
/* EQUED = 'Y', then A must contain the equilibrated matrix */
/* diag(S)*A*diag(S). If UPLO = 'U', the leading */
/* N-by-N upper triangular part of A contains the upper */
/* triangular part of the matrix A, and the strictly lower */
/* triangular part of A is not referenced. If UPLO = 'L', the */
/* leading N-by-N lower triangular part of A contains the lower */
/* triangular part of the matrix A, and the strictly upper */
/* triangular part of A is not referenced. A is not modified if */
/* FACT = 'F' or 'N', or if FACT = 'E' and EQUED = 'N' on exit. */
/* On exit, if FACT = 'E' and EQUED = 'Y', A is overwritten by */
/* diag(S)*A*diag(S). */
/* LDA (input) INTEGER */
/* The leading dimension of the array A. LDA >= max(1,N). */
/* AF (input or output) REAL array, dimension (LDAF,N) */
/* If FACT = 'F', then AF is an input argument and on entry */
/* contains the triangular factor U or L from the Cholesky */
/* factorization A = U**T*U or A = L*L**T, in the same storage */
/* format as A. If EQUED .ne. 'N', then AF is the factored form */
/* of the equilibrated matrix diag(S)*A*diag(S). */
/* If FACT = 'N', then AF is an output argument and on exit */
/* returns the triangular factor U or L from the Cholesky */
/* factorization A = U**T*U or A = L*L**T of the original */
/* matrix A. */
/* If FACT = 'E', then AF is an output argument and on exit */
/* returns the triangular factor U or L from the Cholesky */
/* factorization A = U**T*U or A = L*L**T of the equilibrated */
/* matrix A (see the description of A for the form of the */
/* equilibrated matrix). */
/* LDAF (input) INTEGER */
/* The leading dimension of the array AF. LDAF >= max(1,N). */
/* EQUED (input or output) CHARACTER*1 */
/* Specifies the form of equilibration that was done. */
/* = 'N': No equilibration (always true if FACT = 'N'). */
/* = 'Y': Equilibration was done, i.e., A has been replaced by */
/* diag(S) * A * diag(S). */
/* EQUED is an input argument if FACT = 'F'; otherwise, it is an */
/* output argument. */
/* S (input or output) REAL array, dimension (N) */
/* The scale factors for A; not accessed if EQUED = 'N'. S is */
/* an input argument if FACT = 'F'; otherwise, S is an output */
/* argument. If FACT = 'F' and EQUED = 'Y', each element of S */
/* must be positive. */
/* B (input/output) REAL array, dimension (LDB,NRHS) */
/* On entry, the N-by-NRHS right hand side matrix B. */
/* On exit, if EQUED = 'N', B is not modified; if EQUED = 'Y', */
/* B is overwritten by diag(S) * B. */
/* LDB (input) INTEGER */
/* The leading dimension of the array B. LDB >= max(1,N). */
/* X (output) REAL array, dimension (LDX,NRHS) */
/* If INFO = 0 or INFO = N+1, the N-by-NRHS solution matrix X to */
/* the original system of equations. Note that if EQUED = 'Y', */
/* A and B are modified on exit, and the solution to the */
/* equilibrated system is inv(diag(S))*X. */
/* LDX (input) INTEGER */
/* The leading dimension of the array X. LDX >= max(1,N). */
/* RCOND (output) REAL */
/* The estimate of the reciprocal condition number of the matrix */
/* A after equilibration (if done). If RCOND is less than the */
/* machine precision (in particular, if RCOND = 0), the matrix */
/* is singular to working precision. This condition is */
/* indicated by a return code of INFO > 0. */
/* FERR (output) REAL array, dimension (NRHS) */
/* The estimated forward error bound for each solution vector */
/* X(j) (the j-th column of the solution matrix X). */
/* If XTRUE is the true solution corresponding to X(j), FERR(j) */
/* is an estimated upper bound for the magnitude of the largest */
/* element in (X(j) - XTRUE) divided by the magnitude of the */
/* largest element in X(j). The estimate is as reliable as */
/* the estimate for RCOND, and is almost always a slight */
/* overestimate of the true error. */
/* BERR (output) REAL array, dimension (NRHS) */
/* The componentwise relative backward error of each solution */
/* vector X(j) (i.e., the smallest relative change in */
/* any element of A or B that makes X(j) an exact solution). */
/* WORK (workspace) REAL array, dimension (3*N) */
/* IWORK (workspace) INTEGER array, dimension (N) */
/* INFO (output) INTEGER */
/* = 0: successful exit */
/* < 0: if INFO = -i, the i-th argument had an illegal value */
/* > 0: if INFO = i, and i is */
/* <= N: the leading minor of order i of A is */
/* not positive definite, so the factorization */
/* could not be completed, and the solution has not */
/* been computed. RCOND = 0 is returned. */
/* = N+1: U is nonsingular, but RCOND is less than machine */
/* precision, meaning that the matrix is singular */
/* to working precision. Nevertheless, the */
/* solution and error bounds are computed because */
/* there are a number of situations where the */
/* computed solution can be more accurate than the */
/* value of RCOND would suggest. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
af_dim1 = *ldaf;
af_offset = 1 + af_dim1;
af -= af_offset;
--s;
b_dim1 = *ldb;
b_offset = 1 + b_dim1;
b -= b_offset;
x_dim1 = *ldx;
x_offset = 1 + x_dim1;
x -= x_offset;
--ferr;
--berr;
--work;
--iwork;
/* Function Body */
*info = 0;
nofact = lsame_(fact, "N", (ftnlen)1, (ftnlen)1);
equil = lsame_(fact, "E", (ftnlen)1, (ftnlen)1);
if (nofact || equil) {
*(unsigned char *)equed = 'N';
rcequ = FALSE_;
} else {
rcequ = lsame_(equed, "Y", (ftnlen)1, (ftnlen)1);
smlnum = slamch_("Safe minimum", (ftnlen)12);
bignum = 1.f / smlnum;
}
/* Test the input parameters. */
if (! nofact && ! equil && ! lsame_(fact, "F", (ftnlen)1, (ftnlen)1)) {
*info = -1;
} else if (! lsame_(uplo, "U", (ftnlen)1, (ftnlen)1) && ! lsame_(uplo,
"L", (ftnlen)1, (ftnlen)1)) {
*info = -2;
} else if (*n < 0) {
*info = -3;
} else if (*nrhs < 0) {
*info = -4;
} else if (*lda < max(1,*n)) {
*info = -6;
} else if (*ldaf < max(1,*n)) {
*info = -8;
} else if (lsame_(fact, "F", (ftnlen)1, (ftnlen)1) && ! (rcequ || lsame_(
equed, "N", (ftnlen)1, (ftnlen)1))) {
*info = -9;
} else {
if (rcequ) {
smin = bignum;
smax = 0.f;
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
/* Computing MIN */
r__1 = smin, r__2 = s[j];
smin = dmin(r__1,r__2);
/* Computing MAX */
r__1 = smax, r__2 = s[j];
smax = dmax(r__1,r__2);
/* L10: */
}
if (smin <= 0.f) {
*info = -10;
} else if (*n > 0) {
scond = dmax(smin,smlnum) / dmin(smax,bignum);
} else {
scond = 1.f;
}
}
if (*info == 0) {
if (*ldb < max(1,*n)) {
*info = -12;
} else if (*ldx < max(1,*n)) {
*info = -14;
}
}
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("SPOSVX", &i__1, (ftnlen)6);
return 0;
}
if (equil) {
/* Compute row and column scalings to equilibrate the matrix A. */
spoequ_(n, &a[a_offset], lda, &s[1], &scond, &amax, &infequ);
if (infequ == 0) {
/* Equilibrate the matrix. */
slaqsy_(uplo, n, &a[a_offset], lda, &s[1], &scond, &amax, equed, (
ftnlen)1, (ftnlen)1);
rcequ = lsame_(equed, "Y", (ftnlen)1, (ftnlen)1);
}
}
/* Scale the right hand side. */
if (rcequ) {
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = 1; i__ <= i__2; ++i__) {
b[i__ + j * b_dim1] = s[i__] * b[i__ + j * b_dim1];
/* L20: */
}
/* L30: */
}
}
if (nofact || equil) {
/* Compute the Cholesky factorization A = U'*U or A = L*L'. */
slacpy_(uplo, n, n, &a[a_offset], lda, &af[af_offset], ldaf, (ftnlen)
1);
spotrf_(uplo, n, &af[af_offset], ldaf, info, (ftnlen)1);
/* Return if INFO is non-zero. */
if (*info != 0) {
if (*info > 0) {
*rcond = 0.f;
}
return 0;
}
}
/* Compute the norm of the matrix A. */
anorm = slansy_("1", uplo, n, &a[a_offset], lda, &work[1], (ftnlen)1, (
ftnlen)1);
/* Compute the reciprocal of the condition number of A. */
spocon_(uplo, n, &af[af_offset], ldaf, &anorm, rcond, &work[1], &iwork[1],
info, (ftnlen)1);
/* Set INFO = N+1 if the matrix is singular to working precision. */
if (*rcond < slamch_("Epsilon", (ftnlen)7)) {
*info = *n + 1;
}
/* Compute the solution matrix X. */
slacpy_("Full", n, nrhs, &b[b_offset], ldb, &x[x_offset], ldx, (ftnlen)4);
spotrs_(uplo, n, nrhs, &af[af_offset], ldaf, &x[x_offset], ldx, info, (
ftnlen)1);
/* Use iterative refinement to improve the computed solution and */
/* compute error bounds and backward error estimates for it. */
sporfs_(uplo, n, nrhs, &a[a_offset], lda, &af[af_offset], ldaf, &b[
b_offset], ldb, &x[x_offset], ldx, &ferr[1], &berr[1], &work[1], &
iwork[1], info, (ftnlen)1);
/* Transform the solution matrix X to a solution of the original */
/* system. */
if (rcequ) {
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
i__2 = *n;
for (i__ = 1; i__ <= i__2; ++i__) {
x[i__ + j * x_dim1] = s[i__] * x[i__ + j * x_dim1];
/* L40: */
}
/* L50: */
}
i__1 = *nrhs;
for (j = 1; j <= i__1; ++j) {
ferr[j] /= scond;
/* L60: */
}
}
return 0;
/* End of SPOSVX */
} /* sposvx_ */
/* Subroutine */ int serrpo_(char *path, integer *nunit)
{
/* Builtin functions */
integer s_wsle(cilist *), e_wsle(void);
/* Subroutine */ int s_copy(char *, char *, ftnlen, ftnlen);
/* Local variables */
real a[16] /* was [4][4] */, b[4];
integer i__, j;
real w[12], x[4];
char c2[2];
real r1[4], r2[4], af[16] /* was [4][4] */;
integer iw[4], info;
real anrm, rcond;
extern /* Subroutine */ int spbtf2_(char *, integer *, integer *, real *,
integer *, integer *), spotf2_(char *, integer *, real *,
integer *, integer *), alaesm_(char *, logical *, integer
*);
extern logical lsamen_(integer *, char *, char *);
extern /* Subroutine */ int chkxer_(char *, integer *, integer *, logical
*, logical *), spbcon_(char *, integer *, integer *, real
*, integer *, real *, real *, real *, integer *, integer *), spbequ_(char *, integer *, integer *, real *, integer *,
real *, real *, real *, integer *), spbrfs_(char *,
integer *, integer *, integer *, real *, integer *, real *,
integer *, real *, integer *, real *, integer *, real *, real *,
real *, integer *, integer *), spbtrf_(char *, integer *,
integer *, real *, integer *, integer *), spocon_(char *,
integer *, real *, integer *, real *, real *, real *, integer *,
integer *), sppcon_(char *, integer *, real *, real *,
real *, real *, integer *, integer *), spoequ_(integer *,
real *, integer *, real *, real *, real *, integer *), spbtrs_(
char *, integer *, integer *, integer *, real *, integer *, real *
, integer *, integer *), sporfs_(char *, integer *,
integer *, real *, integer *, real *, integer *, real *, integer *
, real *, integer *, real *, real *, real *, integer *, integer *), spotrf_(char *, integer *, real *, integer *, integer *), spotri_(char *, integer *, real *, integer *, integer *), sppequ_(char *, integer *, real *, real *, real *, real
*, integer *), spprfs_(char *, integer *, integer *, real
*, real *, real *, integer *, real *, integer *, real *, real *,
real *, integer *, integer *), spptrf_(char *, integer *,
real *, integer *), spptri_(char *, integer *, real *,
integer *), spotrs_(char *, integer *, integer *, real *,
integer *, real *, integer *, integer *), spptrs_(char *,
integer *, integer *, real *, real *, integer *, integer *);
/* Fortran I/O blocks */
static cilist io___1 = { 0, 0, 0, 0, 0 };
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* SERRPO tests the error exits for the REAL routines */
/* for symmetric positive definite matrices. */
/* Arguments */
/* ========= */
/* PATH (input) CHARACTER*3 */
/* The LAPACK path name for the routines to be tested. */
/* NUNIT (input) INTEGER */
/* The unit number for output. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Scalars in Common .. */
/* .. */
/* .. Common blocks .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
infoc_1.nout = *nunit;
io___1.ciunit = infoc_1.nout;
s_wsle(&io___1);
e_wsle();
s_copy(c2, path + 1, (ftnlen)2, (ftnlen)2);
/* Set the variables to innocuous values. */
for (j = 1; j <= 4; ++j) {
for (i__ = 1; i__ <= 4; ++i__) {
a[i__ + (j << 2) - 5] = 1.f / (real) (i__ + j);
af[i__ + (j << 2) - 5] = 1.f / (real) (i__ + j);
/* L10: */
}
b[j - 1] = 0.f;
r1[j - 1] = 0.f;
r2[j - 1] = 0.f;
w[j - 1] = 0.f;
x[j - 1] = 0.f;
iw[j - 1] = j;
/* L20: */
}
infoc_1.ok = TRUE_;
if (lsamen_(&c__2, c2, "PO")) {
/* Test error exits of the routines that use the Cholesky */
/* decomposition of a symmetric positive definite matrix. */
/* SPOTRF */
s_copy(srnamc_1.srnamt, "SPOTRF", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spotrf_("/", &c__0, a, &c__1, &info);
chkxer_("SPOTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spotrf_("U", &c_n1, a, &c__1, &info);
chkxer_("SPOTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spotrf_("U", &c__2, a, &c__1, &info);
chkxer_("SPOTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPOTF2 */
s_copy(srnamc_1.srnamt, "SPOTF2", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spotf2_("/", &c__0, a, &c__1, &info);
chkxer_("SPOTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spotf2_("U", &c_n1, a, &c__1, &info);
chkxer_("SPOTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spotf2_("U", &c__2, a, &c__1, &info);
chkxer_("SPOTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPOTRI */
s_copy(srnamc_1.srnamt, "SPOTRI", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spotri_("/", &c__0, a, &c__1, &info);
chkxer_("SPOTRI", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spotri_("U", &c_n1, a, &c__1, &info);
chkxer_("SPOTRI", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spotri_("U", &c__2, a, &c__1, &info);
chkxer_("SPOTRI", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPOTRS */
s_copy(srnamc_1.srnamt, "SPOTRS", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spotrs_("/", &c__0, &c__0, a, &c__1, b, &c__1, &info);
chkxer_("SPOTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spotrs_("U", &c_n1, &c__0, a, &c__1, b, &c__1, &info);
chkxer_("SPOTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spotrs_("U", &c__0, &c_n1, a, &c__1, b, &c__1, &info);
chkxer_("SPOTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
spotrs_("U", &c__2, &c__1, a, &c__1, b, &c__2, &info);
chkxer_("SPOTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 7;
spotrs_("U", &c__2, &c__1, a, &c__2, b, &c__1, &info);
chkxer_("SPOTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPORFS */
s_copy(srnamc_1.srnamt, "SPORFS", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
sporfs_("/", &c__0, &c__0, a, &c__1, af, &c__1, b, &c__1, x, &c__1,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
sporfs_("U", &c_n1, &c__0, a, &c__1, af, &c__1, b, &c__1, x, &c__1,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
sporfs_("U", &c__0, &c_n1, a, &c__1, af, &c__1, b, &c__1, x, &c__1,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
sporfs_("U", &c__2, &c__1, a, &c__1, af, &c__2, b, &c__2, x, &c__2,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 7;
sporfs_("U", &c__2, &c__1, a, &c__2, af, &c__1, b, &c__2, x, &c__2,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 9;
sporfs_("U", &c__2, &c__1, a, &c__2, af, &c__2, b, &c__1, x, &c__2,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 11;
sporfs_("U", &c__2, &c__1, a, &c__2, af, &c__2, b, &c__2, x, &c__1,
r1, r2, w, iw, &info);
chkxer_("SPORFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPOCON */
s_copy(srnamc_1.srnamt, "SPOCON", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spocon_("/", &c__0, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPOCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spocon_("U", &c_n1, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPOCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spocon_("U", &c__2, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPOCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPOEQU */
s_copy(srnamc_1.srnamt, "SPOEQU", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spoequ_(&c_n1, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPOEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spoequ_(&c__2, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPOEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
} else if (lsamen_(&c__2, c2, "PP")) {
/* Test error exits of the routines that use the Cholesky */
/* decomposition of a symmetric positive definite packed matrix. */
/* SPPTRF */
s_copy(srnamc_1.srnamt, "SPPTRF", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spptrf_("/", &c__0, a, &info);
chkxer_("SPPTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spptrf_("U", &c_n1, a, &info);
chkxer_("SPPTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPPTRI */
s_copy(srnamc_1.srnamt, "SPPTRI", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spptri_("/", &c__0, a, &info);
chkxer_("SPPTRI", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spptri_("U", &c_n1, a, &info);
chkxer_("SPPTRI", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPPTRS */
s_copy(srnamc_1.srnamt, "SPPTRS", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spptrs_("/", &c__0, &c__0, a, b, &c__1, &info);
chkxer_("SPPTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spptrs_("U", &c_n1, &c__0, a, b, &c__1, &info);
chkxer_("SPPTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spptrs_("U", &c__0, &c_n1, a, b, &c__1, &info);
chkxer_("SPPTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 6;
spptrs_("U", &c__2, &c__1, a, b, &c__1, &info);
chkxer_("SPPTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPPRFS */
s_copy(srnamc_1.srnamt, "SPPRFS", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spprfs_("/", &c__0, &c__0, a, af, b, &c__1, x, &c__1, r1, r2, w, iw, &
info);
chkxer_("SPPRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spprfs_("U", &c_n1, &c__0, a, af, b, &c__1, x, &c__1, r1, r2, w, iw, &
info);
chkxer_("SPPRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spprfs_("U", &c__0, &c_n1, a, af, b, &c__1, x, &c__1, r1, r2, w, iw, &
info);
chkxer_("SPPRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 7;
spprfs_("U", &c__2, &c__1, a, af, b, &c__1, x, &c__2, r1, r2, w, iw, &
info);
chkxer_("SPPRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 9;
spprfs_("U", &c__2, &c__1, a, af, b, &c__2, x, &c__1, r1, r2, w, iw, &
info);
chkxer_("SPPRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPPCON */
s_copy(srnamc_1.srnamt, "SPPCON", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
sppcon_("/", &c__0, a, &anrm, &rcond, w, iw, &info);
chkxer_("SPPCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
sppcon_("U", &c_n1, a, &anrm, &rcond, w, iw, &info);
chkxer_("SPPCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPPEQU */
s_copy(srnamc_1.srnamt, "SPPEQU", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
sppequ_("/", &c__0, a, r1, &rcond, &anrm, &info);
chkxer_("SPPEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
sppequ_("U", &c_n1, a, r1, &rcond, &anrm, &info);
chkxer_("SPPEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
} else if (lsamen_(&c__2, c2, "PB")) {
/* Test error exits of the routines that use the Cholesky */
/* decomposition of a symmetric positive definite band matrix. */
/* SPBTRF */
s_copy(srnamc_1.srnamt, "SPBTRF", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spbtrf_("/", &c__0, &c__0, a, &c__1, &info);
chkxer_("SPBTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbtrf_("U", &c_n1, &c__0, a, &c__1, &info);
chkxer_("SPBTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbtrf_("U", &c__1, &c_n1, a, &c__1, &info);
chkxer_("SPBTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
spbtrf_("U", &c__2, &c__1, a, &c__1, &info);
chkxer_("SPBTRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPBTF2 */
s_copy(srnamc_1.srnamt, "SPBTF2", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spbtf2_("/", &c__0, &c__0, a, &c__1, &info);
chkxer_("SPBTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbtf2_("U", &c_n1, &c__0, a, &c__1, &info);
chkxer_("SPBTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbtf2_("U", &c__1, &c_n1, a, &c__1, &info);
chkxer_("SPBTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
spbtf2_("U", &c__2, &c__1, a, &c__1, &info);
chkxer_("SPBTF2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPBTRS */
s_copy(srnamc_1.srnamt, "SPBTRS", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spbtrs_("/", &c__0, &c__0, &c__0, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbtrs_("U", &c_n1, &c__0, &c__0, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbtrs_("U", &c__1, &c_n1, &c__0, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spbtrs_("U", &c__0, &c__0, &c_n1, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 6;
spbtrs_("U", &c__2, &c__1, &c__1, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 8;
spbtrs_("U", &c__2, &c__0, &c__1, a, &c__1, b, &c__1, &info);
chkxer_("SPBTRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPBRFS */
s_copy(srnamc_1.srnamt, "SPBRFS", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spbrfs_("/", &c__0, &c__0, &c__0, a, &c__1, af, &c__1, b, &c__1, x, &
c__1, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbrfs_("U", &c_n1, &c__0, &c__0, a, &c__1, af, &c__1, b, &c__1, x, &
c__1, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbrfs_("U", &c__1, &c_n1, &c__0, a, &c__1, af, &c__1, b, &c__1, x, &
c__1, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
spbrfs_("U", &c__0, &c__0, &c_n1, a, &c__1, af, &c__1, b, &c__1, x, &
c__1, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 6;
spbrfs_("U", &c__2, &c__1, &c__1, a, &c__1, af, &c__2, b, &c__2, x, &
c__2, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 8;
spbrfs_("U", &c__2, &c__1, &c__1, a, &c__2, af, &c__1, b, &c__2, x, &
c__2, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 10;
spbrfs_("U", &c__2, &c__0, &c__1, a, &c__1, af, &c__1, b, &c__1, x, &
c__2, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 12;
spbrfs_("U", &c__2, &c__0, &c__1, a, &c__1, af, &c__1, b, &c__2, x, &
c__1, r1, r2, w, iw, &info);
chkxer_("SPBRFS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPBCON */
s_copy(srnamc_1.srnamt, "SPBCON", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spbcon_("/", &c__0, &c__0, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPBCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbcon_("U", &c_n1, &c__0, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPBCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbcon_("U", &c__1, &c_n1, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPBCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
spbcon_("U", &c__2, &c__1, a, &c__1, &anrm, &rcond, w, iw, &info);
chkxer_("SPBCON", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* SPBEQU */
s_copy(srnamc_1.srnamt, "SPBEQU", (ftnlen)32, (ftnlen)6);
infoc_1.infot = 1;
spbequ_("/", &c__0, &c__0, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPBEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
spbequ_("U", &c_n1, &c__0, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPBEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
spbequ_("U", &c__1, &c_n1, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPBEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
spbequ_("U", &c__2, &c__1, a, &c__1, r1, &rcond, &anrm, &info);
chkxer_("SPBEQU", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
}
/* Print a summary line. */
alaesm_(path, &infoc_1.ok, &infoc_1.nout);
return 0;
/* End of SERRPO */
} /* serrpo_ */