/* Subroutine */ int zgeqpf_(integer *m, integer *n, doublecomplex *a,
integer *lda, integer *jpvt, doublecomplex *tau, doublecomplex *work,
doublereal *rwork, integer *info)
{
/* System generated locals */
integer a_dim1, a_offset, i__1, i__2, i__3;
doublereal d__1, d__2;
doublecomplex z__1;
/* Local variables */
integer i__, j, ma, mn;
doublecomplex aii;
integer pvt;
doublereal temp, temp2, tol3z;
integer itemp;
/* -- LAPACK deprecated driver routine (version 3.2) -- */
/* November 2006 */
/* Purpose */
/* ======= */
/* This routine is deprecated and has been replaced by routine ZGEQP3. */
/* ZGEQPF computes a QR factorization with column pivoting of a */
/* complex M-by-N matrix A: A*P = Q*R. */
/* Arguments */
/* ========= */
/* M (input) INTEGER */
/* The number of rows of the matrix A. M >= 0. */
/* N (input) INTEGER */
/* The number of columns of the matrix A. N >= 0 */
/* A (input/output) COMPLEX*16 array, dimension (LDA,N) */
/* On entry, the M-by-N matrix A. */
/* On exit, the upper triangle of the array contains the */
/* min(M,N)-by-N upper triangular matrix R; the elements */
/* below the diagonal, together with the array TAU, */
/* represent the unitary matrix Q as a product of */
/* min(m,n) elementary reflectors. */
/* LDA (input) INTEGER */
/* The leading dimension of the array A. LDA >= max(1,M). */
/* JPVT (input/output) INTEGER array, dimension (N) */
/* On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted */
/* to the front of A*P (a leading column); if JPVT(i) = 0, */
/* the i-th column of A is a free column. */
/* On exit, if JPVT(i) = k, then the i-th column of A*P */
/* was the k-th column of A. */
/* TAU (output) COMPLEX*16 array, dimension (min(M,N)) */
/* The scalar factors of the elementary reflectors. */
/* WORK (workspace) COMPLEX*16 array, dimension (N) */
/* RWORK (workspace) DOUBLE PRECISION array, dimension (2*N) */
/* INFO (output) INTEGER */
/* = 0: successful exit */
/* < 0: if INFO = -i, the i-th argument had an illegal value */
/* Further Details */
/* =============== */
/* The matrix Q is represented as a product of elementary reflectors */
/* Q = H(1) H(2) . . . H(n) */
/* Each H(i) has the form */
/* H = I - tau * v * v' */
/* where tau is a complex scalar, and v is a complex vector with */
/* v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is stored on exit in A(i+1:m,i). */
/* The matrix P is represented in jpvt as follows: If */
/* jpvt(j) = i */
/* then the jth column of P is the ith canonical unit vector. */
/* Partial column norm updating strategy modified by */
/* Z. Drmac and Z. Bujanovic, Dept. of Mathematics, */
/* University of Zagreb, Croatia. */
/* June 2006. */
/* For more details see LAPACK Working Note 176. */
/* ===================================================================== */
/* Test the input arguments */
/* Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--jpvt;
--tau;
--work;
--rwork;
/* Function Body */
*info = 0;
if (*m < 0) {
*info = -1;
} else if (*n < 0) {
*info = -2;
} else if (*lda < max(1,*m)) {
*info = -4;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("ZGEQPF", &i__1);
return 0;
}
mn = min(*m,*n);
tol3z = sqrt(dlamch_("Epsilon"));
/* Move initial columns up front */
itemp = 1;
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
if (jpvt[i__] != 0) {
if (i__ != itemp) {
zswap_(m, &a[i__ * a_dim1 + 1], &c__1, &a[itemp * a_dim1 + 1],
&c__1);
jpvt[i__] = jpvt[itemp];
jpvt[itemp] = i__;
} else {
jpvt[i__] = i__;
}
++itemp;
} else {
jpvt[i__] = i__;
}
}
--itemp;
/* Compute the QR factorization and update remaining columns */
if (itemp > 0) {
ma = min(itemp,*m);
zgeqr2_(m, &ma, &a[a_offset], lda, &tau[1], &work[1], info);
if (ma < *n) {
i__1 = *n - ma;
zunm2r_("Left", "Conjugate transpose", m, &i__1, &ma, &a[a_offset]
, lda, &tau[1], &a[(ma + 1) * a_dim1 + 1], lda, &work[1],
info);
}
}
if (itemp < mn) {
/* Initialize partial column norms. The first n elements of */
/* work store the exact column norms. */
i__1 = *n;
for (i__ = itemp + 1; i__ <= i__1; ++i__) {
i__2 = *m - itemp;
rwork[i__] = dznrm2_(&i__2, &a[itemp + 1 + i__ * a_dim1], &c__1);
rwork[*n + i__] = rwork[i__];
}
/* Compute factorization */
i__1 = mn;
for (i__ = itemp + 1; i__ <= i__1; ++i__) {
/* Determine ith pivot column and swap if necessary */
i__2 = *n - i__ + 1;
pvt = i__ - 1 + idamax_(&i__2, &rwork[i__], &c__1);
if (pvt != i__) {
zswap_(m, &a[pvt * a_dim1 + 1], &c__1, &a[i__ * a_dim1 + 1], &
c__1);
itemp = jpvt[pvt];
jpvt[pvt] = jpvt[i__];
jpvt[i__] = itemp;
rwork[pvt] = rwork[i__];
rwork[*n + pvt] = rwork[*n + i__];
}
/* Generate elementary reflector H(i) */
i__2 = i__ + i__ * a_dim1;
aii.r = a[i__2].r, aii.i = a[i__2].i;
i__2 = *m - i__ + 1;
/* Computing MIN */
i__3 = i__ + 1;
zlarfp_(&i__2, &aii, &a[min(i__3, *m)+ i__ * a_dim1], &c__1, &tau[
i__]);
i__2 = i__ + i__ * a_dim1;
a[i__2].r = aii.r, a[i__2].i = aii.i;
if (i__ < *n) {
/* Apply H(i) to A(i:m,i+1:n) from the left */
i__2 = i__ + i__ * a_dim1;
aii.r = a[i__2].r, aii.i = a[i__2].i;
i__2 = i__ + i__ * a_dim1;
a[i__2].r = 1., a[i__2].i = 0.;
i__2 = *m - i__ + 1;
i__3 = *n - i__;
d_cnjg(&z__1, &tau[i__]);
zlarf_("Left", &i__2, &i__3, &a[i__ + i__ * a_dim1], &c__1, &
z__1, &a[i__ + (i__ + 1) * a_dim1], lda, &work[1]);
i__2 = i__ + i__ * a_dim1;
a[i__2].r = aii.r, a[i__2].i = aii.i;
}
/* Update partial column norms */
i__2 = *n;
for (j = i__ + 1; j <= i__2; ++j) {
if (rwork[j] != 0.) {
/* NOTE: The following 4 lines follow from the analysis in */
/* Lapack Working Note 176. */
temp = z_abs(&a[i__ + j * a_dim1]) / rwork[j];
/* Computing MAX */
d__1 = 0., d__2 = (temp + 1.) * (1. - temp);
temp = max(d__1,d__2);
/* Computing 2nd power */
d__1 = rwork[j] / rwork[*n + j];
temp2 = temp * (d__1 * d__1);
if (temp2 <= tol3z) {
if (*m - i__ > 0) {
i__3 = *m - i__;
rwork[j] = dznrm2_(&i__3, &a[i__ + 1 + j * a_dim1]
, &c__1);
rwork[*n + j] = rwork[j];
} else {
rwork[j] = 0.;
rwork[*n + j] = 0.;
}
} else {
rwork[j] *= sqrt(temp);
}
}
}
}
}
return 0;
/* End of ZGEQPF */
} /* zgeqpf_ */
/* Subroutine */ int zdrges_(integer *nsizes, integer *nn, integer *ntypes,
logical *dotype, integer *iseed, doublereal *thresh, integer *nounit,
doublecomplex *a, integer *lda, doublecomplex *b, doublecomplex *s,
doublecomplex *t, doublecomplex *q, integer *ldq, doublecomplex *z__,
doublecomplex *alpha, doublecomplex *beta, doublecomplex *work,
integer *lwork, doublereal *rwork, doublereal *result, logical *bwork,
integer *info)
{
/* Initialized data */
static integer kclass[26] = { 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,
2,2,2,3 };
static integer kbmagn[26] = { 1,1,1,1,1,1,1,1,3,2,3,2,2,3,1,1,1,1,1,1,1,3,
2,3,2,1 };
static integer ktrian[26] = { 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,
1,1,1,1 };
static logical lasign[26] = { FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
TRUE_,FALSE_,TRUE_,TRUE_,FALSE_,FALSE_,TRUE_,TRUE_,TRUE_,FALSE_,
TRUE_,FALSE_,FALSE_,FALSE_,TRUE_,TRUE_,TRUE_,TRUE_,TRUE_,FALSE_ };
static logical lbsign[26] = { FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
FALSE_,TRUE_,FALSE_,FALSE_,TRUE_,TRUE_,FALSE_,FALSE_,TRUE_,FALSE_,
TRUE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
FALSE_ };
static integer kz1[6] = { 0,1,2,1,3,3 };
static integer kz2[6] = { 0,0,1,2,1,1 };
static integer kadd[6] = { 0,0,0,0,3,2 };
static integer katype[26] = { 0,1,0,1,2,3,4,1,4,4,1,1,4,4,4,2,4,5,8,7,9,4,
4,4,4,0 };
static integer kbtype[26] = { 0,0,1,1,2,-3,1,4,1,1,4,4,1,1,-4,2,-4,8,8,8,
8,8,8,8,8,0 };
static integer kazero[26] = { 1,1,1,1,1,1,2,1,2,2,1,1,2,2,3,1,3,5,5,5,5,3,
3,3,3,1 };
static integer kbzero[26] = { 1,1,1,1,1,1,1,2,1,1,2,2,1,1,4,1,4,6,6,6,6,4,
4,4,4,1 };
static integer kamagn[26] = { 1,1,1,1,1,1,1,1,2,3,2,3,2,3,1,1,1,1,1,1,1,2,
3,3,2,1 };
/* Format strings */
static char fmt_9999[] = "(\002 ZDRGES: \002,a,\002 returned INFO=\002,i"
"6,\002.\002,/9x,\002N=\002,i6,\002, JTYPE=\002,i6,\002, ISEED="
"(\002,4(i4,\002,\002),i5,\002)\002)";
static char fmt_9998[] = "(\002 ZDRGES: S not in Schur form at eigenvalu"
"e \002,i6,\002.\002,/9x,\002N=\002,i6,\002, JTYPE=\002,i6,\002, "
"ISEED=(\002,3(i5,\002,\002),i5,\002)\002)";
static char fmt_9997[] = "(/1x,a3,\002 -- Complex Generalized Schur from"
" problem \002,\002driver\002)";
static char fmt_9996[] = "(\002 Matrix types (see ZDRGES for details):"
" \002)";
static char fmt_9995[] = "(\002 Special Matrices:\002,23x,\002(J'=transp"
"osed Jordan block)\002,/\002 1=(0,0) 2=(I,0) 3=(0,I) 4=(I,I"
") 5=(J',J') \002,\0026=(diag(J',I), diag(I,J'))\002,/\002 Diag"
"onal Matrices: ( \002,\002D=diag(0,1,2,...) )\002,/\002 7=(D,"
"I) 9=(large*D, small*I\002,\002) 11=(large*I, small*D) 13=(l"
"arge*D, large*I)\002,/\002 8=(I,D) 10=(small*D, large*I) 12="
"(small*I, large*D) \002,\002 14=(small*D, small*I)\002,/\002 15"
"=(D, reversed D)\002)";
static char fmt_9994[] = "(\002 Matrices Rotated by Random \002,a,\002 M"
"atrices U, V:\002,/\002 16=Transposed Jordan Blocks "
" 19=geometric \002,\002alpha, beta=0,1\002,/\002 17=arithm. alp"
"ha&beta \002,\002 20=arithmetic alpha, beta=0,"
"1\002,/\002 18=clustered \002,\002alpha, beta=0,1 21"
"=random alpha, beta=0,1\002,/\002 Large & Small Matrices:\002,"
"/\002 22=(large, small) \002,\00223=(small,large) 24=(smal"
"l,small) 25=(large,large)\002,/\002 26=random O(1) matrices"
".\002)";
static char fmt_9993[] = "(/\002 Tests performed: (S is Schur, T is tri"
"angular, \002,\002Q and Z are \002,a,\002,\002,/19x,\002l and r "
"are the appropriate left and right\002,/19x,\002eigenvectors, re"
"sp., a is alpha, b is beta, and\002,/19x,a,\002 means \002,a,"
"\002.)\002,/\002 Without ordering: \002,/\002 1 = | A - Q S "
"Z\002,a,\002 | / ( |A| n ulp ) 2 = | B - Q T Z\002,a,\002 |"
" / ( |B| n ulp )\002,/\002 3 = | I - QQ\002,a,\002 | / ( n ulp "
") 4 = | I - ZZ\002,a,\002 | / ( n ulp )\002,/\002 5"
" = A is in Schur form S\002,/\002 6 = difference between (alpha"
",beta)\002,\002 and diagonals of (S,T)\002,/\002 With ordering:"
" \002,/\002 7 = | (A,B) - Q (S,T) Z\002,a,\002 | / ( |(A,B)| n "
"ulp )\002,/\002 8 = | I - QQ\002,a,\002 | / ( n ulp ) "
" 9 = | I - ZZ\002,a,\002 | / ( n ulp )\002,/\002 10 = A is in "
"Schur form S\002,/\002 11 = difference between (alpha,beta) and "
"diagonals\002,\002 of (S,T)\002,/\002 12 = SDIM is the correct n"
"umber of \002,\002selected eigenvalues\002,/)";
static char fmt_9992[] = "(\002 Matrix order=\002,i5,\002, type=\002,i2"
",\002, seed=\002,4(i4,\002,\002),\002 result \002,i2,\002 is\002"
",0p,f8.2)";
static char fmt_9991[] = "(\002 Matrix order=\002,i5,\002, type=\002,i2"
",\002, seed=\002,4(i4,\002,\002),\002 result \002,i2,\002 is\002"
",1p,d10.3)";
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, q_dim1, q_offset, s_dim1,
s_offset, t_dim1, t_offset, z_dim1, z_offset, i__1, i__2, i__3,
i__4, i__5, i__6, i__7, i__8, i__9, i__10, i__11;
doublereal d__1, d__2, d__3, d__4, d__5, d__6, d__7, d__8, d__9, d__10,
d__11, d__12, d__13, d__14, d__15, d__16;
doublecomplex z__1, z__2, z__3, z__4;
/* Local variables */
integer i__, j, n, n1, jc, nb, in, jr;
doublereal ulp;
integer iadd, sdim, nmax, rsub;
char sort[1];
doublereal temp1, temp2;
logical badnn;
integer iinfo;
doublereal rmagn[4];
doublecomplex ctemp;
extern /* Subroutine */ int zget51_(integer *, integer *, doublecomplex *,
integer *, doublecomplex *, integer *, doublecomplex *, integer *
, doublecomplex *, integer *, doublecomplex *, doublereal *,
doublereal *), zgges_(char *, char *, char *, L_fp, integer *,
doublecomplex *, integer *, doublecomplex *, integer *, integer *,
doublecomplex *, doublecomplex *, doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublereal *, logical *, integer *);
integer nmats, jsize;
extern /* Subroutine */ int zget54_(integer *, doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, doublereal *);
integer nerrs, jtype, ntest, isort;
extern /* Subroutine */ int dlabad_(doublereal *, doublereal *), zlatm4_(
integer *, integer *, integer *, integer *, logical *, doublereal
*, doublereal *, doublereal *, integer *, integer *,
doublecomplex *, integer *);
logical ilabad;
extern doublereal dlamch_(char *);
extern /* Subroutine */ int zunm2r_(char *, char *, integer *, integer *,
integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *);
doublereal safmin, safmax;
integer knteig, ioldsd[4];
extern integer ilaenv_(integer *, char *, char *, integer *, integer *,
integer *, integer *);
extern /* Subroutine */ int alasvm_(char *, integer *, integer *, integer
*, integer *), xerbla_(char *, integer *),
zlarfg_(integer *, doublecomplex *, doublecomplex *, integer *,
doublecomplex *);
extern /* Double Complex */ void zlarnd_(doublecomplex *, integer *,
integer *);
extern /* Subroutine */ int zlacpy_(char *, integer *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *),
zlaset_(char *, integer *, integer *, doublecomplex *,
doublecomplex *, doublecomplex *, integer *);
extern logical zlctes_(doublecomplex *, doublecomplex *);
integer minwrk, maxwrk;
doublereal ulpinv;
integer mtypes, ntestt;
/* Fortran I/O blocks */
static cilist io___41 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___47 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___51 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___53 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___54 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___55 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___56 = { 0, 0, 0, fmt_9994, 0 };
static cilist io___57 = { 0, 0, 0, fmt_9993, 0 };
static cilist io___58 = { 0, 0, 0, fmt_9992, 0 };
static cilist io___59 = { 0, 0, 0, fmt_9991, 0 };
/* -- LAPACK test routine (version 3.1.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* February 2007 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* ZDRGES checks the nonsymmetric generalized eigenvalue (Schur form) */
/* problem driver ZGGES. */
/* ZGGES factors A and B as Q*S*Z' and Q*T*Z' , where ' means conjugate */
/* transpose, S and T are upper triangular (i.e., in generalized Schur */
/* form), and Q and Z are unitary. It also computes the generalized */
/* eigenvalues (alpha(j),beta(j)), j=1,...,n. Thus, */
/* w(j) = alpha(j)/beta(j) is a root of the characteristic equation */
/* det( A - w(j) B ) = 0 */
/* Optionally it also reorder the eigenvalues so that a selected */
/* cluster of eigenvalues appears in the leading diagonal block of the */
/* Schur forms. */
/* When ZDRGES 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, a pair of matrices (A, B) will be generated */
/* and used for testing. For each matrix pair, the following 13 tests */
/* will be performed and compared with the threshhold THRESH except */
/* the tests (5), (11) and (13). */
/* (1) | A - Q S Z' | / ( |A| n ulp ) (no sorting of eigenvalues) */
/* (2) | B - Q T Z' | / ( |B| n ulp ) (no sorting of eigenvalues) */
/* (3) | I - QQ' | / ( n ulp ) (no sorting of eigenvalues) */
/* (4) | I - ZZ' | / ( n ulp ) (no sorting of eigenvalues) */
/* (5) if A is in Schur form (i.e. triangular form) (no sorting of */
/* eigenvalues) */
/* (6) if eigenvalues = diagonal elements of the Schur form (S, T), */
/* i.e., test the maximum over j of D(j) where: */
/* |alpha(j) - S(j,j)| |beta(j) - T(j,j)| */
/* D(j) = ------------------------ + ----------------------- */
/* max(|alpha(j)|,|S(j,j)|) max(|beta(j)|,|T(j,j)|) */
/* (no sorting of eigenvalues) */
/* (7) | (A,B) - Q (S,T) Z' | / ( |(A,B)| n ulp ) */
/* (with sorting of eigenvalues). */
/* (8) | I - QQ' | / ( n ulp ) (with sorting of eigenvalues). */
/* (9) | I - ZZ' | / ( n ulp ) (with sorting of eigenvalues). */
/* (10) if A is in Schur form (i.e. quasi-triangular form) */
/* (with sorting of eigenvalues). */
/* (11) if eigenvalues = diagonal elements of the Schur form (S, T), */
/* i.e. test the maximum over j of D(j) where: */
/* |alpha(j) - S(j,j)| |beta(j) - T(j,j)| */
/* D(j) = ------------------------ + ----------------------- */
/* max(|alpha(j)|,|S(j,j)|) max(|beta(j)|,|T(j,j)|) */
/* (with sorting of eigenvalues). */
/* (12) if sorting worked and SDIM is the number of eigenvalues */
/* which were CELECTed. */
/* Test Matrices */
/* ============= */
/* The sizes of the test matrices 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) ( 0, 0 ) (a pair of zero matrices) */
/* (2) ( I, 0 ) (an identity and a zero matrix) */
/* (3) ( 0, I ) (an identity and a zero matrix) */
/* (4) ( I, I ) (a pair of identity matrices) */
/* t t */
/* (5) ( J , J ) (a pair of transposed Jordan blocks) */
/* t ( I 0 ) */
/* (6) ( X, Y ) where X = ( J 0 ) and Y = ( t ) */
/* ( 0 I ) ( 0 J ) */
/* and I is a k x k identity and J a (k+1)x(k+1) */
/* Jordan block; k=(N-1)/2 */
/* (7) ( D, I ) where D is diag( 0, 1,..., N-1 ) (a diagonal */
/* matrix with those diagonal entries.) */
/* (8) ( I, D ) */
/* (9) ( big*D, small*I ) where "big" is near overflow and small=1/big */
/* (10) ( small*D, big*I ) */
/* (11) ( big*I, small*D ) */
/* (12) ( small*I, big*D ) */
/* (13) ( big*D, big*I ) */
/* (14) ( small*D, small*I ) */
/* (15) ( D1, D2 ) where D1 is diag( 0, 0, 1, ..., N-3, 0 ) and */
/* D2 is diag( 0, N-3, N-4,..., 1, 0, 0 ) */
/* t t */
/* (16) Q ( J , J ) Z where Q and Z are random orthogonal matrices. */
/* (17) Q ( T1, T2 ) Z where T1 and T2 are upper triangular matrices */
/* with random O(1) entries above the diagonal */
/* and diagonal entries diag(T1) = */
/* ( 0, 0, 1, ..., N-3, 0 ) and diag(T2) = */
/* ( 0, N-3, N-4,..., 1, 0, 0 ) */
/* (18) Q ( T1, T2 ) Z diag(T1) = ( 0, 0, 1, 1, s, ..., s, 0 ) */
/* diag(T2) = ( 0, 1, 0, 1,..., 1, 0 ) */
/* s = machine precision. */
/* (19) Q ( T1, T2 ) Z diag(T1)=( 0,0,1,1, 1-d, ..., 1-(N-5)*d=s, 0 ) */
/* diag(T2) = ( 0, 1, 0, 1, ..., 1, 0 ) */
/* N-5 */
/* (20) Q ( T1, T2 ) Z diag(T1)=( 0, 0, 1, 1, a, ..., a =s, 0 ) */
/* diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 ) */
/* (21) Q ( T1, T2 ) Z diag(T1)=( 0, 0, 1, r1, r2, ..., r(N-4), 0 ) */
/* diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 ) */
/* where r1,..., r(N-4) are random. */
/* (22) Q ( big*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 ) */
/* diag(T2) = ( 0, 1, ..., 1, 0, 0 ) */
/* (23) Q ( small*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 ) */
/* diag(T2) = ( 0, 1, ..., 1, 0, 0 ) */
/* (24) Q ( small*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 ) */
/* diag(T2) = ( 0, 1, ..., 1, 0, 0 ) */
/* (25) Q ( big*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 ) */
/* diag(T2) = ( 0, 1, ..., 1, 0, 0 ) */
/* (26) Q ( T1, T2 ) Z where T1 and T2 are random upper-triangular */
/* matrices. */
/* Arguments */
/* ========= */
/* NSIZES (input) INTEGER */
/* The number of sizes of matrices to use. If it is zero, */
/* DDRGES does nothing. NSIZES >= 0. */
/* NN (input) INTEGER array, dimension (NSIZES) */
/* An array containing the sizes to be used for the matrices. */
/* Zero values will be skipped. NN >= 0. */
/* NTYPES (input) INTEGER */
/* The number of elements in DOTYPE. If it is zero, DDRGES */
/* 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 on input. */
/* 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 DDRGES 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. THRESH >= 0. */
/* NOUNIT (input) INTEGER */
/* The FORTRAN unit number for printing out error messages */
/* (e.g., if a routine returns IINFO not equal to 0.) */
/* A (input/workspace) COMPLEX*16 array, dimension(LDA, max(NN)) */
/* Used to hold the original A matrix. Used as input only */
/* if NTYPES=MAXTYP+1, DOTYPE(1:MAXTYP)=.FALSE., and */
/* DOTYPE(MAXTYP+1)=.TRUE. */
/* LDA (input) INTEGER */
/* The leading dimension of A, B, S, and T. */
/* It must be at least 1 and at least max( NN ). */
/* B (input/workspace) COMPLEX*16 array, dimension(LDA, max(NN)) */
/* Used to hold the original B matrix. Used as input only */
/* if NTYPES=MAXTYP+1, DOTYPE(1:MAXTYP)=.FALSE., and */
/* DOTYPE(MAXTYP+1)=.TRUE. */
/* S (workspace) COMPLEX*16 array, dimension (LDA, max(NN)) */
/* The Schur form matrix computed from A by ZGGES. On exit, S */
/* contains the Schur form matrix corresponding to the matrix */
/* in A. */
/* T (workspace) COMPLEX*16 array, dimension (LDA, max(NN)) */
/* The upper triangular matrix computed from B by ZGGES. */
/* Q (workspace) COMPLEX*16 array, dimension (LDQ, max(NN)) */
/* The (left) orthogonal matrix computed by ZGGES. */
/* LDQ (input) INTEGER */
/* The leading dimension of Q and Z. It must */
/* be at least 1 and at least max( NN ). */
/* Z (workspace) COMPLEX*16 array, dimension( LDQ, max(NN) ) */
/* The (right) orthogonal matrix computed by ZGGES. */
/* ALPHA (workspace) COMPLEX*16 array, dimension (max(NN)) */
/* BETA (workspace) COMPLEX*16 array, dimension (max(NN)) */
/* The generalized eigenvalues of (A,B) computed by ZGGES. */
/* ALPHA(k) / BETA(k) is the k-th generalized eigenvalue of A */
/* and B. */
/* WORK (workspace) COMPLEX*16 array, dimension (LWORK) */
/* LWORK (input) INTEGER */
/* The dimension of the array WORK. LWORK >= 3*N*N. */
/* RWORK (workspace) DOUBLE PRECISION array, dimension ( 8*N ) */
/* Real workspace. */
/* RESULT (output) DOUBLE PRECISION array, dimension (15) */
/* The values computed by the tests described above. */
/* The values are currently limited to 1/ulp, to avoid overflow. */
/* BWORK (workspace) LOGICAL array, dimension (N) */
/* INFO (output) INTEGER */
/* = 0: successful exit */
/* < 0: if INFO = -i, the i-th argument had an illegal value. */
/* > 0: A routine returned an error code. INFO is the */
/* absolute value of the INFO value returned. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Statement Functions .. */
/* .. */
/* .. Statement Function definitions .. */
/* .. */
/* .. Data statements .. */
/* Parameter adjustments */
--nn;
--dotype;
--iseed;
t_dim1 = *lda;
t_offset = 1 + t_dim1;
t -= t_offset;
s_dim1 = *lda;
s_offset = 1 + s_dim1;
s -= s_offset;
b_dim1 = *lda;
b_offset = 1 + b_dim1;
b -= b_offset;
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
z_dim1 = *ldq;
z_offset = 1 + z_dim1;
z__ -= z_offset;
q_dim1 = *ldq;
q_offset = 1 + q_dim1;
q -= q_offset;
--alpha;
--beta;
--work;
--rwork;
--result;
--bwork;
/* Function Body */
/* .. */
/* .. Executable Statements .. */
/* Check for errors */
*info = 0;
badnn = FALSE_;
nmax = 1;
i__1 = *nsizes;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = nmax, i__3 = nn[j];
nmax = max(i__2,i__3);
if (nn[j] < 0) {
badnn = TRUE_;
}
/* L10: */
}
if (*nsizes < 0) {
*info = -1;
} else if (badnn) {
*info = -2;
} else if (*ntypes < 0) {
*info = -3;
} else if (*thresh < 0.) {
*info = -6;
} else if (*lda <= 1 || *lda < nmax) {
*info = -9;
} else if (*ldq <= 1 || *ldq < nmax) {
*info = -14;
}
/* Compute workspace */
/* (Note: Comments in the code beginning "Workspace:" describe the */
/* minimal amount of workspace needed at that point in the code, */
/* as well as the preferred amount for good performance. */
/* NB refers to the optimal block size for the immediately */
/* following subroutine, as returned by ILAENV. */
minwrk = 1;
if (*info == 0 && *lwork >= 1) {
minwrk = nmax * 3 * nmax;
/* Computing MAX */
i__1 = 1, i__2 = ilaenv_(&c__1, "ZGEQRF", " ", &nmax, &nmax, &c_n1, &
c_n1), i__1 = max(i__1,i__2), i__2 =
ilaenv_(&c__1, "ZUNMQR", "LC", &nmax, &nmax, &nmax, &c_n1), i__1 = max(i__1,i__2), i__2 = ilaenv_(&
c__1, "ZUNGQR", " ", &nmax, &nmax, &nmax, &c_n1);
nb = max(i__1,i__2);
/* Computing MAX */
i__1 = nmax + nmax * nb, i__2 = nmax * 3 * nmax;
maxwrk = max(i__1,i__2);
work[1].r = (doublereal) maxwrk, work[1].i = 0.;
}
if (*lwork < minwrk) {
*info = -19;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("ZDRGES", &i__1);
return 0;
}
/* Quick return if possible */
if (*nsizes == 0 || *ntypes == 0) {
return 0;
}
ulp = dlamch_("Precision");
safmin = dlamch_("Safe minimum");
safmin /= ulp;
safmax = 1. / safmin;
dlabad_(&safmin, &safmax);
ulpinv = 1. / ulp;
/* The values RMAGN(2:3) depend on N, see below. */
rmagn[0] = 0.;
rmagn[1] = 1.;
/* Loop over matrix sizes */
ntestt = 0;
nerrs = 0;
nmats = 0;
i__1 = *nsizes;
for (jsize = 1; jsize <= i__1; ++jsize) {
n = nn[jsize];
n1 = max(1,n);
rmagn[2] = safmax * ulp / (doublereal) n1;
rmagn[3] = safmin * ulpinv * (doublereal) n1;
if (*nsizes != 1) {
mtypes = min(26,*ntypes);
} else {
mtypes = min(27,*ntypes);
}
/* Loop over matrix types */
i__2 = mtypes;
for (jtype = 1; jtype <= i__2; ++jtype) {
if (! dotype[jtype]) {
goto L180;
}
++nmats;
ntest = 0;
/* Save ISEED in case of an error. */
for (j = 1; j <= 4; ++j) {
ioldsd[j - 1] = iseed[j];
/* L20: */
}
/* Initialize RESULT */
for (j = 1; j <= 13; ++j) {
result[j] = 0.;
/* L30: */
}
/* Generate test matrices A and B */
/* Description of control parameters: */
/* KZLASS: =1 means w/o rotation, =2 means w/ rotation, */
/* =3 means random. */
/* KATYPE: the "type" to be passed to ZLATM4 for computing A. */
/* KAZERO: the pattern of zeros on the diagonal for A: */
/* =1: ( xxx ), =2: (0, xxx ) =3: ( 0, 0, xxx, 0 ), */
/* =4: ( 0, xxx, 0, 0 ), =5: ( 0, 0, 1, xxx, 0 ), */
/* =6: ( 0, 1, 0, xxx, 0 ). (xxx means a string of */
/* non-zero entries.) */
/* KAMAGN: the magnitude of the matrix: =0: zero, =1: O(1), */
/* =2: large, =3: small. */
/* LASIGN: .TRUE. if the diagonal elements of A are to be */
/* multiplied by a random magnitude 1 number. */
/* KBTYPE, KBZERO, KBMAGN, LBSIGN: the same, but for B. */
/* KTRIAN: =0: don't fill in the upper triangle, =1: do. */
/* KZ1, KZ2, KADD: used to implement KAZERO and KBZERO. */
/* RMAGN: used to implement KAMAGN and KBMAGN. */
if (mtypes > 26) {
goto L110;
}
iinfo = 0;
if (kclass[jtype - 1] < 3) {
/* Generate A (w/o rotation) */
if ((i__3 = katype[jtype - 1], abs(i__3)) == 3) {
in = ((n - 1) / 2 << 1) + 1;
if (in != n) {
zlaset_("Full", &n, &n, &c_b1, &c_b1, &a[a_offset],
lda);
}
} else {
in = n;
}
zlatm4_(&katype[jtype - 1], &in, &kz1[kazero[jtype - 1] - 1],
&kz2[kazero[jtype - 1] - 1], &lasign[jtype - 1], &
rmagn[kamagn[jtype - 1]], &ulp, &rmagn[ktrian[jtype -
1] * kamagn[jtype - 1]], &c__2, &iseed[1], &a[
a_offset], lda);
iadd = kadd[kazero[jtype - 1] - 1];
if (iadd > 0 && iadd <= n) {
i__3 = iadd + iadd * a_dim1;
i__4 = kamagn[jtype - 1];
a[i__3].r = rmagn[i__4], a[i__3].i = 0.;
}
/* Generate B (w/o rotation) */
if ((i__3 = kbtype[jtype - 1], abs(i__3)) == 3) {
in = ((n - 1) / 2 << 1) + 1;
if (in != n) {
zlaset_("Full", &n, &n, &c_b1, &c_b1, &b[b_offset],
lda);
}
} else {
in = n;
}
zlatm4_(&kbtype[jtype - 1], &in, &kz1[kbzero[jtype - 1] - 1],
&kz2[kbzero[jtype - 1] - 1], &lbsign[jtype - 1], &
rmagn[kbmagn[jtype - 1]], &c_b29, &rmagn[ktrian[jtype
- 1] * kbmagn[jtype - 1]], &c__2, &iseed[1], &b[
b_offset], lda);
iadd = kadd[kbzero[jtype - 1] - 1];
if (iadd != 0 && iadd <= n) {
i__3 = iadd + iadd * b_dim1;
i__4 = kbmagn[jtype - 1];
b[i__3].r = rmagn[i__4], b[i__3].i = 0.;
}
if (kclass[jtype - 1] == 2 && n > 0) {
/* Include rotations */
/* Generate Q, Z as Householder transformations times */
/* a diagonal matrix. */
i__3 = n - 1;
for (jc = 1; jc <= i__3; ++jc) {
i__4 = n;
for (jr = jc; jr <= i__4; ++jr) {
i__5 = jr + jc * q_dim1;
zlarnd_(&z__1, &c__3, &iseed[1]);
q[i__5].r = z__1.r, q[i__5].i = z__1.i;
i__5 = jr + jc * z_dim1;
zlarnd_(&z__1, &c__3, &iseed[1]);
z__[i__5].r = z__1.r, z__[i__5].i = z__1.i;
/* L40: */
}
i__4 = n + 1 - jc;
zlarfg_(&i__4, &q[jc + jc * q_dim1], &q[jc + 1 + jc *
q_dim1], &c__1, &work[jc]);
i__4 = (n << 1) + jc;
i__5 = jc + jc * q_dim1;
d__2 = q[i__5].r;
d__1 = d_sign(&c_b29, &d__2);
work[i__4].r = d__1, work[i__4].i = 0.;
i__4 = jc + jc * q_dim1;
q[i__4].r = 1., q[i__4].i = 0.;
i__4 = n + 1 - jc;
zlarfg_(&i__4, &z__[jc + jc * z_dim1], &z__[jc + 1 +
jc * z_dim1], &c__1, &work[n + jc]);
i__4 = n * 3 + jc;
i__5 = jc + jc * z_dim1;
d__2 = z__[i__5].r;
d__1 = d_sign(&c_b29, &d__2);
work[i__4].r = d__1, work[i__4].i = 0.;
i__4 = jc + jc * z_dim1;
z__[i__4].r = 1., z__[i__4].i = 0.;
/* L50: */
}
zlarnd_(&z__1, &c__3, &iseed[1]);
ctemp.r = z__1.r, ctemp.i = z__1.i;
i__3 = n + n * q_dim1;
q[i__3].r = 1., q[i__3].i = 0.;
i__3 = n;
work[i__3].r = 0., work[i__3].i = 0.;
i__3 = n * 3;
d__1 = z_abs(&ctemp);
z__1.r = ctemp.r / d__1, z__1.i = ctemp.i / d__1;
work[i__3].r = z__1.r, work[i__3].i = z__1.i;
zlarnd_(&z__1, &c__3, &iseed[1]);
ctemp.r = z__1.r, ctemp.i = z__1.i;
i__3 = n + n * z_dim1;
z__[i__3].r = 1., z__[i__3].i = 0.;
i__3 = n << 1;
work[i__3].r = 0., work[i__3].i = 0.;
i__3 = n << 2;
d__1 = z_abs(&ctemp);
z__1.r = ctemp.r / d__1, z__1.i = ctemp.i / d__1;
work[i__3].r = z__1.r, work[i__3].i = z__1.i;
/* Apply the diagonal matrices */
i__3 = n;
for (jc = 1; jc <= i__3; ++jc) {
i__4 = n;
for (jr = 1; jr <= i__4; ++jr) {
i__5 = jr + jc * a_dim1;
i__6 = (n << 1) + jr;
d_cnjg(&z__3, &work[n * 3 + jc]);
z__2.r = work[i__6].r * z__3.r - work[i__6].i *
z__3.i, z__2.i = work[i__6].r * z__3.i +
work[i__6].i * z__3.r;
i__7 = jr + jc * a_dim1;
z__1.r = z__2.r * a[i__7].r - z__2.i * a[i__7].i,
z__1.i = z__2.r * a[i__7].i + z__2.i * a[
i__7].r;
a[i__5].r = z__1.r, a[i__5].i = z__1.i;
i__5 = jr + jc * b_dim1;
i__6 = (n << 1) + jr;
d_cnjg(&z__3, &work[n * 3 + jc]);
z__2.r = work[i__6].r * z__3.r - work[i__6].i *
z__3.i, z__2.i = work[i__6].r * z__3.i +
work[i__6].i * z__3.r;
i__7 = jr + jc * b_dim1;
z__1.r = z__2.r * b[i__7].r - z__2.i * b[i__7].i,
z__1.i = z__2.r * b[i__7].i + z__2.i * b[
i__7].r;
b[i__5].r = z__1.r, b[i__5].i = z__1.i;
/* L60: */
}
/* L70: */
}
i__3 = n - 1;
zunm2r_("L", "N", &n, &n, &i__3, &q[q_offset], ldq, &work[
1], &a[a_offset], lda, &work[(n << 1) + 1], &
iinfo);
if (iinfo != 0) {
goto L100;
}
i__3 = n - 1;
zunm2r_("R", "C", &n, &n, &i__3, &z__[z_offset], ldq, &
work[n + 1], &a[a_offset], lda, &work[(n << 1) +
1], &iinfo);
if (iinfo != 0) {
goto L100;
}
i__3 = n - 1;
zunm2r_("L", "N", &n, &n, &i__3, &q[q_offset], ldq, &work[
1], &b[b_offset], lda, &work[(n << 1) + 1], &
iinfo);
if (iinfo != 0) {
goto L100;
}
i__3 = n - 1;
zunm2r_("R", "C", &n, &n, &i__3, &z__[z_offset], ldq, &
work[n + 1], &b[b_offset], lda, &work[(n << 1) +
1], &iinfo);
if (iinfo != 0) {
goto L100;
}
}
} else {
/* Random matrices */
i__3 = n;
for (jc = 1; jc <= i__3; ++jc) {
i__4 = n;
for (jr = 1; jr <= i__4; ++jr) {
i__5 = jr + jc * a_dim1;
i__6 = kamagn[jtype - 1];
zlarnd_(&z__2, &c__4, &iseed[1]);
z__1.r = rmagn[i__6] * z__2.r, z__1.i = rmagn[i__6] *
z__2.i;
a[i__5].r = z__1.r, a[i__5].i = z__1.i;
i__5 = jr + jc * b_dim1;
i__6 = kbmagn[jtype - 1];
zlarnd_(&z__2, &c__4, &iseed[1]);
z__1.r = rmagn[i__6] * z__2.r, z__1.i = rmagn[i__6] *
z__2.i;
b[i__5].r = z__1.r, b[i__5].i = z__1.i;
/* L80: */
}
/* L90: */
}
}
L100:
if (iinfo != 0) {
io___41.ciunit = *nounit;
s_wsfe(&io___41);
do_fio(&c__1, "Generator", (ftnlen)9);
do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer));
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer));
e_wsfe();
*info = abs(iinfo);
return 0;
}
L110:
for (i__ = 1; i__ <= 13; ++i__) {
result[i__] = -1.;
/* L120: */
}
/* Test with and without sorting of eigenvalues */
for (isort = 0; isort <= 1; ++isort) {
if (isort == 0) {
*(unsigned char *)sort = 'N';
rsub = 0;
} else {
*(unsigned char *)sort = 'S';
rsub = 5;
}
/* Call ZGGES to compute H, T, Q, Z, alpha, and beta. */
zlacpy_("Full", &n, &n, &a[a_offset], lda, &s[s_offset], lda);
zlacpy_("Full", &n, &n, &b[b_offset], lda, &t[t_offset], lda);
ntest = rsub + 1 + isort;
result[rsub + 1 + isort] = ulpinv;
zgges_("V", "V", sort, (L_fp)zlctes_, &n, &s[s_offset], lda, &
t[t_offset], lda, &sdim, &alpha[1], &beta[1], &q[
q_offset], ldq, &z__[z_offset], ldq, &work[1], lwork,
&rwork[1], &bwork[1], &iinfo);
if (iinfo != 0 && iinfo != n + 2) {
result[rsub + 1 + isort] = ulpinv;
io___47.ciunit = *nounit;
s_wsfe(&io___47);
do_fio(&c__1, "ZGGES", (ftnlen)5);
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 L160;
}
ntest = rsub + 4;
/* Do tests 1--4 (or tests 7--9 when reordering ) */
if (isort == 0) {
zget51_(&c__1, &n, &a[a_offset], lda, &s[s_offset], lda, &
q[q_offset], ldq, &z__[z_offset], ldq, &work[1], &
rwork[1], &result[1]);
zget51_(&c__1, &n, &b[b_offset], lda, &t[t_offset], lda, &
q[q_offset], ldq, &z__[z_offset], ldq, &work[1], &
rwork[1], &result[2]);
} else {
zget54_(&n, &a[a_offset], lda, &b[b_offset], lda, &s[
s_offset], lda, &t[t_offset], lda, &q[q_offset],
ldq, &z__[z_offset], ldq, &work[1], &result[rsub
+ 2]);
}
zget51_(&c__3, &n, &b[b_offset], lda, &t[t_offset], lda, &q[
q_offset], ldq, &q[q_offset], ldq, &work[1], &rwork[1]
, &result[rsub + 3]);
zget51_(&c__3, &n, &b[b_offset], lda, &t[t_offset], lda, &z__[
z_offset], ldq, &z__[z_offset], ldq, &work[1], &rwork[
1], &result[rsub + 4]);
/* Do test 5 and 6 (or Tests 10 and 11 when reordering): */
/* check Schur form of A and compare eigenvalues with */
/* diagonals. */
ntest = rsub + 6;
temp1 = 0.;
i__3 = n;
for (j = 1; j <= i__3; ++j) {
ilabad = FALSE_;
i__4 = j;
i__5 = j + j * s_dim1;
z__2.r = alpha[i__4].r - s[i__5].r, z__2.i = alpha[i__4]
.i - s[i__5].i;
z__1.r = z__2.r, z__1.i = z__2.i;
i__6 = j;
i__7 = j + j * t_dim1;
z__4.r = beta[i__6].r - t[i__7].r, z__4.i = beta[i__6].i
- t[i__7].i;
z__3.r = z__4.r, z__3.i = z__4.i;
/* Computing MAX */
i__8 = j;
i__9 = j + j * s_dim1;
d__13 = safmin, d__14 = (d__1 = alpha[i__8].r, abs(d__1))
+ (d__2 = d_imag(&alpha[j]), abs(d__2)), d__13 =
max(d__13,d__14), d__14 = (d__3 = s[i__9].r, abs(
d__3)) + (d__4 = d_imag(&s[j + j * s_dim1]), abs(
d__4));
/* Computing MAX */
i__10 = j;
i__11 = j + j * t_dim1;
d__15 = safmin, d__16 = (d__5 = beta[i__10].r, abs(d__5))
+ (d__6 = d_imag(&beta[j]), abs(d__6)), d__15 =
max(d__15,d__16), d__16 = (d__7 = t[i__11].r, abs(
d__7)) + (d__8 = d_imag(&t[j + j * t_dim1]), abs(
d__8));
temp2 = (((d__9 = z__1.r, abs(d__9)) + (d__10 = d_imag(&
z__1), abs(d__10))) / max(d__13,d__14) + ((d__11 =
z__3.r, abs(d__11)) + (d__12 = d_imag(&z__3),
abs(d__12))) / max(d__15,d__16)) / ulp;
if (j < n) {
i__4 = j + 1 + j * s_dim1;
if (s[i__4].r != 0. || s[i__4].i != 0.) {
ilabad = TRUE_;
result[rsub + 5] = ulpinv;
}
}
if (j > 1) {
i__4 = j + (j - 1) * s_dim1;
if (s[i__4].r != 0. || s[i__4].i != 0.) {
ilabad = TRUE_;
result[rsub + 5] = ulpinv;
}
}
temp1 = max(temp1,temp2);
if (ilabad) {
io___51.ciunit = *nounit;
s_wsfe(&io___51);
do_fio(&c__1, (char *)&j, (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();
}
/* L130: */
}
result[rsub + 6] = temp1;
if (isort >= 1) {
/* Do test 12 */
ntest = 12;
result[12] = 0.;
knteig = 0;
i__3 = n;
for (i__ = 1; i__ <= i__3; ++i__) {
if (zlctes_(&alpha[i__], &beta[i__])) {
++knteig;
}
/* L140: */
}
if (sdim != knteig) {
result[13] = ulpinv;
}
}
/* L150: */
}
/* End of Loop -- Check for RESULT(j) > THRESH */
L160:
ntestt += ntest;
/* Print out tests which fail. */
i__3 = ntest;
for (jr = 1; jr <= i__3; ++jr) {
if (result[jr] >= *thresh) {
/* If this is the first test to fail, */
/* print a header to the data file. */
if (nerrs == 0) {
io___53.ciunit = *nounit;
s_wsfe(&io___53);
do_fio(&c__1, "ZGS", (ftnlen)3);
e_wsfe();
/* Matrix types */
io___54.ciunit = *nounit;
s_wsfe(&io___54);
e_wsfe();
io___55.ciunit = *nounit;
s_wsfe(&io___55);
e_wsfe();
io___56.ciunit = *nounit;
s_wsfe(&io___56);
do_fio(&c__1, "Unitary", (ftnlen)7);
e_wsfe();
/* Tests performed */
io___57.ciunit = *nounit;
s_wsfe(&io___57);
do_fio(&c__1, "unitary", (ftnlen)7);
do_fio(&c__1, "'", (ftnlen)1);
do_fio(&c__1, "transpose", (ftnlen)9);
for (j = 1; j <= 8; ++j) {
do_fio(&c__1, "'", (ftnlen)1);
}
e_wsfe();
}
++nerrs;
if (result[jr] < 1e4) {
io___58.ciunit = *nounit;
s_wsfe(&io___58);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
;
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&jr, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[jr], (ftnlen)sizeof(
doublereal));
e_wsfe();
} else {
io___59.ciunit = *nounit;
s_wsfe(&io___59);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
;
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&jr, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[jr], (ftnlen)sizeof(
doublereal));
e_wsfe();
}
}
/* L170: */
}
L180:
;
}
/* L190: */
}
/* Summary */
alasvm_("ZGS", nounit, &nerrs, &ntestt, &c__0);
work[1].r = (doublereal) maxwrk, work[1].i = 0.;
return 0;
/* End of ZDRGES */
} /* zdrges_ */
/* Subroutine */ int zdrvgg_(integer *nsizes, integer *nn, integer *ntypes,
logical *dotype, integer *iseed, doublereal *thresh, doublereal *
thrshn, integer *nounit, doublecomplex *a, integer *lda,
doublecomplex *b, doublecomplex *s, doublecomplex *t, doublecomplex *
s2, doublecomplex *t2, doublecomplex *q, integer *ldq, doublecomplex *
z__, doublecomplex *alpha1, doublecomplex *beta1, doublecomplex *
alpha2, doublecomplex *beta2, doublecomplex *vl, doublecomplex *vr,
doublecomplex *work, integer *lwork, doublereal *rwork, doublereal *
result, integer *info)
{
/* Initialized data */
static integer kclass[26] = { 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,
2,2,2,3 };
static integer kbmagn[26] = { 1,1,1,1,1,1,1,1,3,2,3,2,2,3,1,1,1,1,1,1,1,3,
2,3,2,1 };
static integer ktrian[26] = { 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,
1,1,1,1 };
static logical lasign[26] = { FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
TRUE_,FALSE_,TRUE_,TRUE_,FALSE_,FALSE_,TRUE_,TRUE_,TRUE_,FALSE_,
TRUE_,FALSE_,FALSE_,FALSE_,TRUE_,TRUE_,TRUE_,TRUE_,TRUE_,FALSE_ };
static logical lbsign[26] = { FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
FALSE_,TRUE_,FALSE_,FALSE_,TRUE_,TRUE_,FALSE_,FALSE_,TRUE_,FALSE_,
TRUE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
FALSE_ };
static integer kz1[6] = { 0,1,2,1,3,3 };
static integer kz2[6] = { 0,0,1,2,1,1 };
static integer kadd[6] = { 0,0,0,0,3,2 };
static integer katype[26] = { 0,1,0,1,2,3,4,1,4,4,1,1,4,4,4,2,4,5,8,7,9,4,
4,4,4,0 };
static integer kbtype[26] = { 0,0,1,1,2,-3,1,4,1,1,4,4,1,1,-4,2,-4,8,8,8,
8,8,8,8,8,0 };
static integer kazero[26] = { 1,1,1,1,1,1,2,1,2,2,1,1,2,2,3,1,3,5,5,5,5,3,
3,3,3,1 };
static integer kbzero[26] = { 1,1,1,1,1,1,1,2,1,1,2,2,1,1,4,1,4,6,6,6,6,4,
4,4,4,1 };
static integer kamagn[26] = { 1,1,1,1,1,1,1,1,2,3,2,3,2,3,1,1,1,1,1,1,1,2,
3,3,2,1 };
/* Format strings */
static char fmt_9999[] = "(\002 ZDRVGG: \002,a,\002 returned INFO=\002,i"
"6,\002.\002,/9x,\002N=\002,i6,\002, JTYPE=\002,i6,\002, ISEED="
"(\002,3(i5,\002,\002),i5,\002)\002)";
static char fmt_9998[] = "(\002 ZDRVGG: \002,a,\002 Eigenvectors from"
" \002,a,\002 incorrectly \002,\002normalized.\002,/\002 Bits of "
"error=\002,0p,g10.3,\002,\002,9x,\002N=\002,i6,\002, JTYPE=\002,"
"i6,\002, ISEED=(\002,3(i5,\002,\002),i5,\002)\002)";
static char fmt_9997[] = "(/1x,a3,\002 -- Complex Generalized eigenvalue"
" problem driver\002)";
static char fmt_9996[] = "(\002 Matrix types (see ZDRVGG for details):"
" \002)";
static char fmt_9995[] = "(\002 Special Matrices:\002,23x,\002(J'=transp"
"osed Jordan block)\002,/\002 1=(0,0) 2=(I,0) 3=(0,I) 4=(I,I"
") 5=(J',J') \002,\0026=(diag(J',I), diag(I,J'))\002,/\002 Diag"
"onal Matrices: ( \002,\002D=diag(0,1,2,...) )\002,/\002 7=(D,"
"I) 9=(large*D, small*I\002,\002) 11=(large*I, small*D) 13=(l"
"arge*D, large*I)\002,/\002 8=(I,D) 10=(small*D, large*I) 12="
"(small*I, large*D) \002,\002 14=(small*D, small*I)\002,/\002 15"
"=(D, reversed D)\002)";
static char fmt_9994[] = "(\002 Matrices Rotated by Random \002,a,\002 M"
"atrices U, V:\002,/\002 16=Transposed Jordan Blocks "
" 19=geometric \002,\002alpha, beta=0,1\002,/\002 17=arithm. alp"
"ha&beta \002,\002 20=arithmetic alpha, beta=0,"
"1\002,/\002 18=clustered \002,\002alpha, beta=0,1 21"
"=random alpha, beta=0,1\002,/\002 Large & Small Matrices:\002,"
"/\002 22=(large, small) \002,\00223=(small,large) 24=(smal"
"l,small) 25=(large,large)\002,/\002 26=random O(1) matrices"
".\002)";
static char fmt_9993[] = "(/\002 Tests performed: (S is Schur, T is tri"
"angular, \002,\002Q and Z are \002,a,\002,\002,/20x,\002l and r "
"are the appropriate left and right\002,/19x,\002eigenvectors, re"
"sp., a is alpha, b is beta, and\002,/19x,a,\002 means \002,a,"
"\002.)\002,/\002 1 = | A - Q S Z\002,a,\002 | / ( |A| n ulp ) "
" 2 = | B - Q T Z\002,a,\002 | / ( |B| n ulp )\002,/\002 3 = | "
"I - QQ\002,a,\002 | / ( n ulp ) 4 = | I - ZZ\002,a"
",\002 | / ( n ulp )\002,/\002 5 = difference between (alpha,beta"
") and diagonals of\002,\002 (S,T)\002,/\002 6 = max | ( b A - a "
"B )\002,a,\002 l | / const. 7 = max | ( b A - a B ) r | / cons"
"t.\002,/1x)";
static char fmt_9992[] = "(\002 Matrix order=\002,i5,\002, type=\002,i2"
",\002, seed=\002,4(i4,\002,\002),\002 result \002,i3,\002 is\002"
",0p,f8.2)";
static char fmt_9991[] = "(\002 Matrix order=\002,i5,\002, type=\002,i2"
",\002, seed=\002,4(i4,\002,\002),\002 result \002,i3,\002 is\002"
",1p,d10.3)";
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, q_dim1, q_offset, s_dim1,
s_offset, s2_dim1, s2_offset, t_dim1, t_offset, t2_dim1,
t2_offset, vl_dim1, vl_offset, vr_dim1, vr_offset, z_dim1,
z_offset, i__1, i__2, i__3, i__4, i__5, i__6, i__7, i__8, i__9,
i__10, i__11;
doublereal d__1, d__2, d__3, d__4, d__5, d__6, d__7, d__8, d__9, d__10,
d__11, d__12, d__13, d__14, d__15, d__16;
doublecomplex z__1, z__2, z__3, z__4;
/* Builtin functions */
double d_sign(doublereal *, doublereal *), z_abs(doublecomplex *);
void d_cnjg(doublecomplex *, doublecomplex *);
integer s_wsfe(cilist *), do_fio(integer *, char *, ftnlen), e_wsfe(void);
double d_imag(doublecomplex *);
/* Local variables */
integer j, n, i1, n1, jc, nb, in, jr, ns, nbz;
doublereal ulp;
integer iadd, nmax;
doublereal temp1, temp2;
logical badnn;
doublereal dumma[4];
integer iinfo;
doublereal rmagn[4];
doublecomplex ctemp;
extern /* Subroutine */ int zgegs_(char *, char *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublecomplex *, doublecomplex *, doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublereal *, integer *), zget51_(integer *,
integer *, doublecomplex *, integer *, doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublecomplex *, doublereal *, doublereal *), zget52_(logical *,
integer *, doublecomplex *, integer *, doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, doublecomplex *,
doublecomplex *, doublereal *, doublereal *);
integer nmats, jsize;
extern /* Subroutine */ int zgegv_(char *, char *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublecomplex *, doublecomplex *, doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublereal *, integer *);
integer nerrs, jtype, ntest;
extern /* Subroutine */ int dlabad_(doublereal *, doublereal *), zlatm4_(
integer *, integer *, integer *, integer *, logical *, doublereal
*, doublereal *, doublereal *, integer *, integer *,
doublecomplex *, integer *);
extern doublereal dlamch_(char *);
extern /* Subroutine */ int zunm2r_(char *, char *, integer *, integer *,
integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *);
doublereal safmin, safmax;
integer ioldsd[4];
extern integer ilaenv_(integer *, char *, char *, integer *, integer *,
integer *, integer *);
extern /* Subroutine */ int alasvm_(char *, integer *, integer *, integer
*, integer *), xerbla_(char *, integer *),
zlarfg_(integer *, doublecomplex *, doublecomplex *, integer *,
doublecomplex *);
extern /* Double Complex */ VOID zlarnd_(doublecomplex *, integer *,
integer *);
extern /* Subroutine */ int zlacpy_(char *, integer *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *),
zlaset_(char *, integer *, integer *, doublecomplex *,
doublecomplex *, doublecomplex *, integer *);
doublereal ulpinv;
integer lwkopt, mtypes, ntestt;
/* Fortran I/O blocks */
static cilist io___43 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___44 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___47 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___49 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___50 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___51 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___52 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___53 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___54 = { 0, 0, 0, fmt_9994, 0 };
static cilist io___55 = { 0, 0, 0, fmt_9993, 0 };
static cilist io___56 = { 0, 0, 0, fmt_9992, 0 };
static cilist io___57 = { 0, 0, 0, fmt_9991, 0 };
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* Purpose */
/* ======= */
/* ZDRVGG checks the nonsymmetric generalized eigenvalue driver */
/* routines. */
/* T T T */
/* ZGEGS factors A and B as Q S Z and Q T Z , where means */
/* transpose, T is upper triangular, S is in generalized Schur form */
/* (upper triangular), and Q and Z are unitary. It also */
/* computes the generalized eigenvalues (alpha(1),beta(1)), ..., */
/* (alpha(n),beta(n)), where alpha(j)=S(j,j) and beta(j)=T(j,j) -- */
/* thus, w(j) = alpha(j)/beta(j) is a root of the generalized */
/* eigenvalue problem */
/* det( A - w(j) B ) = 0 */
/* and m(j) = beta(j)/alpha(j) is a root of the essentially equivalent */
/* problem */
/* det( m(j) A - B ) = 0 */
/* ZGEGV computes the generalized eigenvalues (alpha(1),beta(1)), ..., */
/* (alpha(n),beta(n)), the matrix L whose columns contain the */
/* generalized left eigenvectors l, and the matrix R whose columns */
/* contain the generalized right eigenvectors r for the pair (A,B). */
/* When ZDRVGG 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 and compared with the threshhold THRESH: */
/* Results from ZGEGS: */
/* H */
/* (1) | A - Q S Z | / ( |A| n ulp ) */
/* H */
/* (2) | B - Q T Z | / ( |B| n ulp ) */
/* H */
/* (3) | I - QQ | / ( n ulp ) */
/* H */
/* (4) | I - ZZ | / ( n ulp ) */
/* (5) maximum over j of D(j) where: */
/* |alpha(j) - S(j,j)| |beta(j) - T(j,j)| */
/* D(j) = ------------------------ + ----------------------- */
/* max(|alpha(j)|,|S(j,j)|) max(|beta(j)|,|T(j,j)|) */
/* Results from ZGEGV: */
/* (6) max over all left eigenvalue/-vector pairs (beta/alpha,l) of */
/* | l**H * (beta A - alpha B) | / ( ulp max( |beta A|, |alpha B| ) ) */
/* where l**H is the conjugate tranpose of l. */
/* (7) max over all right eigenvalue/-vector pairs (beta/alpha,r) of */
/* | (beta A - alpha B) r | / ( ulp max( |beta A|, |alpha B| ) ) */
/* Test Matrices */
/* ---- -------- */
/* The sizes of the test matrices 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) ( 0, 0 ) (a pair of zero matrices) */
/* (2) ( I, 0 ) (an identity and a zero matrix) */
/* (3) ( 0, I ) (an identity and a zero matrix) */
/* (4) ( I, I ) (a pair of identity matrices) */
/* t t */
/* (5) ( J , J ) (a pair of transposed Jordan blocks) */
/* t ( I 0 ) */
/* (6) ( X, Y ) where X = ( J 0 ) and Y = ( t ) */
/* ( 0 I ) ( 0 J ) */
/* and I is a k x k identity and J a (k+1)x(k+1) */
/* Jordan block; k=(N-1)/2 */
/* (7) ( D, I ) where D is diag( 0, 1,..., N-1 ) (a diagonal */
/* matrix with those diagonal entries.) */
/* (8) ( I, D ) */
/* (9) ( big*D, small*I ) where "big" is near overflow and small=1/big */
/* (10) ( small*D, big*I ) */
/* (11) ( big*I, small*D ) */
/* (12) ( small*I, big*D ) */
/* (13) ( big*D, big*I ) */
/* (14) ( small*D, small*I ) */
/* (15) ( D1, D2 ) where D1 is diag( 0, 0, 1, ..., N-3, 0 ) and */
/* D2 is diag( 0, N-3, N-4,..., 1, 0, 0 ) */
/* t t */
/* (16) Q ( J , J ) Z where Q and Z are random unitary matrices. */
/* (17) Q ( T1, T2 ) Z where T1 and T2 are upper triangular matrices */
/* with random O(1) entries above the diagonal */
/* and diagonal entries diag(T1) = */
/* ( 0, 0, 1, ..., N-3, 0 ) and diag(T2) = */
/* ( 0, N-3, N-4,..., 1, 0, 0 ) */
/* (18) Q ( T1, T2 ) Z diag(T1) = ( 0, 0, 1, 1, s, ..., s, 0 ) */
/* diag(T2) = ( 0, 1, 0, 1,..., 1, 0 ) */
/* s = machine precision. */
/* (19) Q ( T1, T2 ) Z diag(T1)=( 0,0,1,1, 1-d, ..., 1-(N-5)*d=s, 0 ) */
/* diag(T2) = ( 0, 1, 0, 1, ..., 1, 0 ) */
/* N-5 */
/* (20) Q ( T1, T2 ) Z diag(T1)=( 0, 0, 1, 1, a, ..., a =s, 0 ) */
/* diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 ) */
/* (21) Q ( T1, T2 ) Z diag(T1)=( 0, 0, 1, r1, r2, ..., r(N-4), 0 ) */
/* diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 ) */
/* where r1,..., r(N-4) are random. */
/* (22) Q ( big*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 ) */
/* diag(T2) = ( 0, 1, ..., 1, 0, 0 ) */
/* (23) Q ( small*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 ) */
/* diag(T2) = ( 0, 1, ..., 1, 0, 0 ) */
/* (24) Q ( small*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 ) */
/* diag(T2) = ( 0, 1, ..., 1, 0, 0 ) */
/* (25) Q ( big*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 ) */
/* diag(T2) = ( 0, 1, ..., 1, 0, 0 ) */
/* (26) Q ( T1, T2 ) Z where T1 and T2 are random upper-triangular */
/* matrices. */
/* Arguments */
/* ========= */
/* NSIZES (input) INTEGER */
/* The number of sizes of matrices to use. If it is zero, */
/* ZDRVGG 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, ZDRVGG */
/* 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 ZDRVGG 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. */
/* THRSHN (input) DOUBLE PRECISION */
/* Threshhold for reporting eigenvector normalization error. */
/* If the normalization of any eigenvector differs from 1 by */
/* more than THRSHN*ulp, then a special error message will be */
/* printed. (This is handled separately from the other tests, */
/* since only a compiler or programming error should cause an */
/* error message, at least if THRSHN is at least 5--10.) */
/* NOUNIT (input) INTEGER */
/* The FORTRAN unit number for printing out error messages */
/* (e.g., if a routine returns IINFO not equal to 0.) */
/* A (input/workspace) COMPLEX*16 array, dimension (LDA, max(NN)) */
/* Used to hold the original A matrix. Used as input only */
/* if NTYPES=MAXTYP+1, DOTYPE(1:MAXTYP)=.FALSE., and */
/* DOTYPE(MAXTYP+1)=.TRUE. */
/* LDA (input) INTEGER */
/* The leading dimension of A, B, S, T, S2, and T2. */
/* It must be at least 1 and at least max( NN ). */
/* B (input/workspace) COMPLEX*16 array, dimension (LDA, max(NN)) */
/* Used to hold the original B matrix. Used as input only */
/* if NTYPES=MAXTYP+1, DOTYPE(1:MAXTYP)=.FALSE., and */
/* DOTYPE(MAXTYP+1)=.TRUE. */
/* S (workspace) COMPLEX*16 array, dimension (LDA, max(NN)) */
/* The upper triangular matrix computed from A by ZGEGS. */
/* T (workspace) COMPLEX*16 array, dimension (LDA, max(NN)) */
/* The upper triangular matrix computed from B by ZGEGS. */
/* S2 (workspace) COMPLEX*16 array, dimension (LDA, max(NN)) */
/* The matrix computed from A by ZGEGV. This will be the */
/* Schur (upper triangular) form of some matrix related to A, */
/* but will not, in general, be the same as S. */
/* T2 (workspace) COMPLEX*16 array, dimension (LDA, max(NN)) */
/* The matrix computed from B by ZGEGV. This will be the */
/* Schur form of some matrix related to B, but will not, in */
/* general, be the same as T. */
/* Q (workspace) COMPLEX*16 array, dimension (LDQ, max(NN)) */
/* The (left) unitary matrix computed by ZGEGS. */
/* LDQ (input) INTEGER */
/* The leading dimension of Q, Z, VL, and VR. It must */
/* be at least 1 and at least max( NN ). */
/* Z (workspace) COMPLEX*16 array, dimension (LDQ, max(NN)) */
/* The (right) unitary matrix computed by ZGEGS. */
/* ALPHA1 (workspace) COMPLEX*16 array, dimension (max(NN)) */
/* BETA1 (workspace) COMPLEX*16 array, dimension (max(NN)) */
/* The generalized eigenvalues of (A,B) computed by ZGEGS. */
/* ALPHA1(k) / BETA1(k) is the k-th generalized eigenvalue of */
/* the matrices in A and B. */
/* ALPHA2 (workspace) COMPLEX*16 array, dimension (max(NN)) */
/* BETA2 (workspace) COMPLEX*16 array, dimension (max(NN)) */
/* The generalized eigenvalues of (A,B) computed by ZGEGV. */
/* ALPHA2(k) / BETA2(k) is the k-th generalized eigenvalue of */
/* the matrices in A and B. */
/* VL (workspace) COMPLEX*16 array, dimension (LDQ, max(NN)) */
/* The (lower triangular) left eigenvector matrix for the */
/* matrices in A and B. */
/* VR (workspace) COMPLEX*16 array, dimension (LDQ, max(NN)) */
/* The (upper triangular) right eigenvector matrix for the */
/* matrices in A and B. */
/* WORK (workspace) COMPLEX*16 array, dimension (LWORK) */
/* LWORK (input) INTEGER */
/* The number of entries in WORK. This must be at least */
/* MAX( 2*N, N*(NB+1), (k+1)*(2*k+N+1) ), where "k" is the */
/* sum of the blocksize and number-of-shifts for ZHGEQZ, and */
/* NB is the greatest of the blocksizes for ZGEQRF, ZUNMQR, */
/* and ZUNGQR. (The blocksizes and the number-of-shifts are */
/* retrieved through calls to ILAENV.) */
/* RWORK (workspace) DOUBLE PRECISION array, dimension (8*N) */
/* RESULT (output) DOUBLE PRECISION array, dimension (7) */
/* The values computed by the tests described above. */
/* The values are currently limited to 1/ulp, to avoid */
/* overflow. */
/* INFO (output) INTEGER */
/* = 0: successful exit */
/* < 0: if INFO = -i, the i-th argument had an illegal value. */
/* > 0: A routine returned an error code. INFO is the */
/* absolute value of the INFO value returned. */
/* ===================================================================== */
/* .. */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Local Arrays .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Statement Functions .. */
/* .. */
/* .. Statement Function definitions .. */
/* .. */
/* .. Data statements .. */
/* Parameter adjustments */
--nn;
--dotype;
--iseed;
t2_dim1 = *lda;
t2_offset = 1 + t2_dim1;
t2 -= t2_offset;
s2_dim1 = *lda;
s2_offset = 1 + s2_dim1;
s2 -= s2_offset;
t_dim1 = *lda;
t_offset = 1 + t_dim1;
t -= t_offset;
s_dim1 = *lda;
s_offset = 1 + s_dim1;
s -= s_offset;
b_dim1 = *lda;
b_offset = 1 + b_dim1;
b -= b_offset;
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
vr_dim1 = *ldq;
vr_offset = 1 + vr_dim1;
vr -= vr_offset;
vl_dim1 = *ldq;
vl_offset = 1 + vl_dim1;
vl -= vl_offset;
z_dim1 = *ldq;
z_offset = 1 + z_dim1;
z__ -= z_offset;
q_dim1 = *ldq;
q_offset = 1 + q_dim1;
q -= q_offset;
--alpha1;
--beta1;
--alpha2;
--beta2;
--work;
--rwork;
--result;
/* Function Body */
/* .. */
/* .. Executable Statements .. */
/* Check for errors */
*info = 0;
badnn = FALSE_;
nmax = 1;
i__1 = *nsizes;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = nmax, i__3 = nn[j];
nmax = max(i__2,i__3);
if (nn[j] < 0) {
badnn = TRUE_;
}
/* L10: */
}
/* Maximum blocksize and shift -- we assume that blocksize and number */
/* of shifts are monotone increasing functions of N. */
/* Computing MAX */
i__1 = 1, i__2 = ilaenv_(&c__1, "ZGEQRF", " ", &nmax, &nmax, &c_n1, &c_n1), i__1 = max(i__1,i__2), i__2 = ilaenv_(&
c__1, "ZUNMQR", "LC", &nmax, &nmax, &nmax, &c_n1), i__1 = max(i__1,i__2), i__2 = ilaenv_(&c__1, "ZUNGQR",
" ", &nmax, &nmax, &nmax, &c_n1);
nb = max(i__1,i__2);
nbz = ilaenv_(&c__1, "ZHGEQZ", "SII", &nmax, &c__1, &nmax, &c__0);
ns = ilaenv_(&c__4, "ZHGEQZ", "SII", &nmax, &c__1, &nmax, &c__0);
i1 = nbz + ns;
/* Computing MAX */
i__1 = nmax << 1, i__2 = nmax * (nb + 1), i__1 = max(i__1,i__2), i__2 = ((
i1 << 1) + nmax + 1) * (i1 + 1);
lwkopt = max(i__1,i__2);
/* 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 (*lda <= 1 || *lda < nmax) {
*info = -10;
} else if (*ldq <= 1 || *ldq < nmax) {
*info = -19;
} else if (lwkopt > *lwork) {
*info = -30;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("ZDRVGG", &i__1);
return 0;
}
/* Quick return if possible */
if (*nsizes == 0 || *ntypes == 0) {
return 0;
}
ulp = dlamch_("Precision");
safmin = dlamch_("Safe minimum");
safmin /= ulp;
safmax = 1. / safmin;
dlabad_(&safmin, &safmax);
ulpinv = 1. / ulp;
/* The values RMAGN(2:3) depend on N, see below. */
rmagn[0] = 0.;
rmagn[1] = 1.;
/* Loop over sizes, types */
ntestt = 0;
nerrs = 0;
nmats = 0;
i__1 = *nsizes;
for (jsize = 1; jsize <= i__1; ++jsize) {
n = nn[jsize];
n1 = max(1,n);
rmagn[2] = safmax * ulp / (doublereal) n1;
rmagn[3] = safmin * ulpinv * n1;
if (*nsizes != 1) {
mtypes = min(26,*ntypes);
} else {
mtypes = min(27,*ntypes);
}
i__2 = mtypes;
for (jtype = 1; jtype <= i__2; ++jtype) {
if (! dotype[jtype]) {
goto L150;
}
++nmats;
ntest = 0;
/* Save ISEED in case of an error. */
for (j = 1; j <= 4; ++j) {
ioldsd[j - 1] = iseed[j];
/* L20: */
}
/* Initialize RESULT */
for (j = 1; j <= 7; ++j) {
result[j] = 0.;
/* L30: */
}
/* Compute A and B */
/* Description of control parameters: */
/* KZLASS: =1 means w/o rotation, =2 means w/ rotation, */
/* =3 means random. */
/* KATYPE: the "type" to be passed to ZLATM4 for computing A. */
/* KAZERO: the pattern of zeros on the diagonal for A: */
/* =1: ( xxx ), =2: (0, xxx ) =3: ( 0, 0, xxx, 0 ), */
/* =4: ( 0, xxx, 0, 0 ), =5: ( 0, 0, 1, xxx, 0 ), */
/* =6: ( 0, 1, 0, xxx, 0 ). (xxx means a string of */
/* non-zero entries.) */
/* KAMAGN: the magnitude of the matrix: =0: zero, =1: O(1), */
/* =2: large, =3: small. */
/* LASIGN: .TRUE. if the diagonal elements of A are to be */
/* multiplied by a random magnitude 1 number. */
/* KBTYPE, KBZERO, KBMAGN, IBSIGN: the same, but for B. */
/* KTRIAN: =0: don't fill in the upper triangle, =1: do. */
/* KZ1, KZ2, KADD: used to implement KAZERO and KBZERO. */
/* RMAGN: used to implement KAMAGN and KBMAGN. */
if (mtypes > 26) {
goto L110;
}
iinfo = 0;
if (kclass[jtype - 1] < 3) {
/* Generate A (w/o rotation) */
if ((i__3 = katype[jtype - 1], abs(i__3)) == 3) {
in = ((n - 1) / 2 << 1) + 1;
if (in != n) {
zlaset_("Full", &n, &n, &c_b1, &c_b1, &a[a_offset],
lda);
}
} else {
in = n;
}
zlatm4_(&katype[jtype - 1], &in, &kz1[kazero[jtype - 1] - 1],
&kz2[kazero[jtype - 1] - 1], &lasign[jtype - 1], &
rmagn[kamagn[jtype - 1]], &ulp, &rmagn[ktrian[jtype -
1] * kamagn[jtype - 1]], &c__2, &iseed[1], &a[
a_offset], lda);
iadd = kadd[kazero[jtype - 1] - 1];
if (iadd > 0 && iadd <= n) {
i__3 = iadd + iadd * a_dim1;
i__4 = kamagn[jtype - 1];
a[i__3].r = rmagn[i__4], a[i__3].i = 0.;
}
/* Generate B (w/o rotation) */
if ((i__3 = kbtype[jtype - 1], abs(i__3)) == 3) {
in = ((n - 1) / 2 << 1) + 1;
if (in != n) {
zlaset_("Full", &n, &n, &c_b1, &c_b1, &b[b_offset],
lda);
}
} else {
in = n;
}
zlatm4_(&kbtype[jtype - 1], &in, &kz1[kbzero[jtype - 1] - 1],
&kz2[kbzero[jtype - 1] - 1], &lbsign[jtype - 1], &
rmagn[kbmagn[jtype - 1]], &c_b39, &rmagn[ktrian[jtype
- 1] * kbmagn[jtype - 1]], &c__2, &iseed[1], &b[
b_offset], lda);
iadd = kadd[kbzero[jtype - 1] - 1];
if (iadd != 0 && iadd <= n) {
i__3 = iadd + iadd * b_dim1;
i__4 = kbmagn[jtype - 1];
b[i__3].r = rmagn[i__4], b[i__3].i = 0.;
}
if (kclass[jtype - 1] == 2 && n > 0) {
/* Include rotations */
/* Generate Q, Z as Householder transformations times */
/* a diagonal matrix. */
i__3 = n - 1;
for (jc = 1; jc <= i__3; ++jc) {
i__4 = n;
for (jr = jc; jr <= i__4; ++jr) {
i__5 = jr + jc * q_dim1;
zlarnd_(&z__1, &c__3, &iseed[1]);
q[i__5].r = z__1.r, q[i__5].i = z__1.i;
i__5 = jr + jc * z_dim1;
zlarnd_(&z__1, &c__3, &iseed[1]);
z__[i__5].r = z__1.r, z__[i__5].i = z__1.i;
/* L40: */
}
i__4 = n + 1 - jc;
zlarfg_(&i__4, &q[jc + jc * q_dim1], &q[jc + 1 + jc *
q_dim1], &c__1, &work[jc]);
i__4 = (n << 1) + jc;
i__5 = jc + jc * q_dim1;
d__2 = q[i__5].r;
d__1 = d_sign(&c_b39, &d__2);
work[i__4].r = d__1, work[i__4].i = 0.;
i__4 = jc + jc * q_dim1;
q[i__4].r = 1., q[i__4].i = 0.;
i__4 = n + 1 - jc;
zlarfg_(&i__4, &z__[jc + jc * z_dim1], &z__[jc + 1 +
jc * z_dim1], &c__1, &work[n + jc]);
i__4 = n * 3 + jc;
i__5 = jc + jc * z_dim1;
d__2 = z__[i__5].r;
d__1 = d_sign(&c_b39, &d__2);
work[i__4].r = d__1, work[i__4].i = 0.;
i__4 = jc + jc * z_dim1;
z__[i__4].r = 1., z__[i__4].i = 0.;
/* L50: */
}
zlarnd_(&z__1, &c__3, &iseed[1]);
ctemp.r = z__1.r, ctemp.i = z__1.i;
i__3 = n + n * q_dim1;
q[i__3].r = 1., q[i__3].i = 0.;
i__3 = n;
work[i__3].r = 0., work[i__3].i = 0.;
i__3 = n * 3;
d__1 = z_abs(&ctemp);
z__1.r = ctemp.r / d__1, z__1.i = ctemp.i / d__1;
work[i__3].r = z__1.r, work[i__3].i = z__1.i;
zlarnd_(&z__1, &c__3, &iseed[1]);
ctemp.r = z__1.r, ctemp.i = z__1.i;
i__3 = n + n * z_dim1;
z__[i__3].r = 1., z__[i__3].i = 0.;
i__3 = n << 1;
work[i__3].r = 0., work[i__3].i = 0.;
i__3 = n << 2;
d__1 = z_abs(&ctemp);
z__1.r = ctemp.r / d__1, z__1.i = ctemp.i / d__1;
work[i__3].r = z__1.r, work[i__3].i = z__1.i;
/* Apply the diagonal matrices */
i__3 = n;
for (jc = 1; jc <= i__3; ++jc) {
i__4 = n;
for (jr = 1; jr <= i__4; ++jr) {
i__5 = jr + jc * a_dim1;
i__6 = (n << 1) + jr;
d_cnjg(&z__3, &work[n * 3 + jc]);
z__2.r = work[i__6].r * z__3.r - work[i__6].i *
z__3.i, z__2.i = work[i__6].r * z__3.i +
work[i__6].i * z__3.r;
i__7 = jr + jc * a_dim1;
z__1.r = z__2.r * a[i__7].r - z__2.i * a[i__7].i,
z__1.i = z__2.r * a[i__7].i + z__2.i * a[
i__7].r;
a[i__5].r = z__1.r, a[i__5].i = z__1.i;
i__5 = jr + jc * b_dim1;
i__6 = (n << 1) + jr;
d_cnjg(&z__3, &work[n * 3 + jc]);
z__2.r = work[i__6].r * z__3.r - work[i__6].i *
z__3.i, z__2.i = work[i__6].r * z__3.i +
work[i__6].i * z__3.r;
i__7 = jr + jc * b_dim1;
z__1.r = z__2.r * b[i__7].r - z__2.i * b[i__7].i,
z__1.i = z__2.r * b[i__7].i + z__2.i * b[
i__7].r;
b[i__5].r = z__1.r, b[i__5].i = z__1.i;
/* L60: */
}
/* L70: */
}
i__3 = n - 1;
zunm2r_("L", "N", &n, &n, &i__3, &q[q_offset], ldq, &work[
1], &a[a_offset], lda, &work[(n << 1) + 1], &
iinfo);
if (iinfo != 0) {
goto L100;
}
i__3 = n - 1;
zunm2r_("R", "C", &n, &n, &i__3, &z__[z_offset], ldq, &
work[n + 1], &a[a_offset], lda, &work[(n << 1) +
1], &iinfo);
if (iinfo != 0) {
goto L100;
}
i__3 = n - 1;
zunm2r_("L", "N", &n, &n, &i__3, &q[q_offset], ldq, &work[
1], &b[b_offset], lda, &work[(n << 1) + 1], &
iinfo);
if (iinfo != 0) {
goto L100;
}
i__3 = n - 1;
zunm2r_("R", "C", &n, &n, &i__3, &z__[z_offset], ldq, &
work[n + 1], &b[b_offset], lda, &work[(n << 1) +
1], &iinfo);
if (iinfo != 0) {
goto L100;
}
}
} else {
/* Random matrices */
i__3 = n;
for (jc = 1; jc <= i__3; ++jc) {
i__4 = n;
for (jr = 1; jr <= i__4; ++jr) {
i__5 = jr + jc * a_dim1;
i__6 = kamagn[jtype - 1];
zlarnd_(&z__2, &c__4, &iseed[1]);
z__1.r = rmagn[i__6] * z__2.r, z__1.i = rmagn[i__6] *
z__2.i;
a[i__5].r = z__1.r, a[i__5].i = z__1.i;
i__5 = jr + jc * b_dim1;
i__6 = kbmagn[jtype - 1];
zlarnd_(&z__2, &c__4, &iseed[1]);
z__1.r = rmagn[i__6] * z__2.r, z__1.i = rmagn[i__6] *
z__2.i;
b[i__5].r = z__1.r, b[i__5].i = z__1.i;
/* L80: */
}
/* L90: */
}
}
L100:
if (iinfo != 0) {
io___43.ciunit = *nounit;
s_wsfe(&io___43);
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;
}
L110:
/* Call ZGEGS to compute H, T, Q, Z, alpha, and beta. */
zlacpy_(" ", &n, &n, &a[a_offset], lda, &s[s_offset], lda);
zlacpy_(" ", &n, &n, &b[b_offset], lda, &t[t_offset], lda);
ntest = 1;
result[1] = ulpinv;
zgegs_("V", "V", &n, &s[s_offset], lda, &t[t_offset], lda, &
alpha1[1], &beta1[1], &q[q_offset], ldq, &z__[z_offset],
ldq, &work[1], lwork, &rwork[1], &iinfo);
if (iinfo != 0) {
io___44.ciunit = *nounit;
s_wsfe(&io___44);
do_fio(&c__1, "ZGEGS", (ftnlen)5);
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 L130;
}
ntest = 4;
/* Do tests 1--4 */
zget51_(&c__1, &n, &a[a_offset], lda, &s[s_offset], lda, &q[
q_offset], ldq, &z__[z_offset], ldq, &work[1], &rwork[1],
&result[1]);
zget51_(&c__1, &n, &b[b_offset], lda, &t[t_offset], lda, &q[
q_offset], ldq, &z__[z_offset], ldq, &work[1], &rwork[1],
&result[2]);
zget51_(&c__3, &n, &b[b_offset], lda, &t[t_offset], lda, &q[
q_offset], ldq, &q[q_offset], ldq, &work[1], &rwork[1], &
result[3]);
zget51_(&c__3, &n, &b[b_offset], lda, &t[t_offset], lda, &z__[
z_offset], ldq, &z__[z_offset], ldq, &work[1], &rwork[1],
&result[4]);
/* Do test 5: compare eigenvalues with diagonals. */
temp1 = 0.;
i__3 = n;
for (j = 1; j <= i__3; ++j) {
i__4 = j;
i__5 = j + j * s_dim1;
z__2.r = alpha1[i__4].r - s[i__5].r, z__2.i = alpha1[i__4].i
- s[i__5].i;
z__1.r = z__2.r, z__1.i = z__2.i;
i__6 = j;
i__7 = j + j * t_dim1;
z__4.r = beta1[i__6].r - t[i__7].r, z__4.i = beta1[i__6].i -
t[i__7].i;
z__3.r = z__4.r, z__3.i = z__4.i;
/* Computing MAX */
i__8 = j;
i__9 = j + j * s_dim1;
d__13 = safmin, d__14 = (d__1 = alpha1[i__8].r, abs(d__1)) + (
d__2 = d_imag(&alpha1[j]), abs(d__2)), d__13 = max(
d__13,d__14), d__14 = (d__3 = s[i__9].r, abs(d__3)) +
(d__4 = d_imag(&s[j + j * s_dim1]), abs(d__4));
/* Computing MAX */
i__10 = j;
i__11 = j + j * t_dim1;
d__15 = safmin, d__16 = (d__5 = beta1[i__10].r, abs(d__5)) + (
d__6 = d_imag(&beta1[j]), abs(d__6)), d__15 = max(
d__15,d__16), d__16 = (d__7 = t[i__11].r, abs(d__7))
+ (d__8 = d_imag(&t[j + j * t_dim1]), abs(d__8));
temp2 = (((d__9 = z__1.r, abs(d__9)) + (d__10 = d_imag(&z__1),
abs(d__10))) / max(d__13,d__14) + ((d__11 = z__3.r,
abs(d__11)) + (d__12 = d_imag(&z__3), abs(d__12))) /
max(d__15,d__16)) / ulp;
temp1 = max(temp1,temp2);
/* L120: */
}
result[5] = temp1;
/* Call ZGEGV to compute S2, T2, VL, and VR, do tests. */
/* Eigenvalues and Eigenvectors */
zlacpy_(" ", &n, &n, &a[a_offset], lda, &s2[s2_offset], lda);
zlacpy_(" ", &n, &n, &b[b_offset], lda, &t2[t2_offset], lda);
ntest = 6;
result[6] = ulpinv;
zgegv_("V", "V", &n, &s2[s2_offset], lda, &t2[t2_offset], lda, &
alpha2[1], &beta2[1], &vl[vl_offset], ldq, &vr[vr_offset],
ldq, &work[1], lwork, &rwork[1], &iinfo);
if (iinfo != 0) {
io___47.ciunit = *nounit;
s_wsfe(&io___47);
do_fio(&c__1, "ZGEGV", (ftnlen)5);
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 L130;
}
ntest = 7;
/* Do Tests 6 and 7 */
zget52_(&c_true, &n, &a[a_offset], lda, &b[b_offset], lda, &vl[
vl_offset], ldq, &alpha2[1], &beta2[1], &work[1], &rwork[
1], dumma);
result[6] = dumma[0];
if (dumma[1] > *thrshn) {
io___49.ciunit = *nounit;
s_wsfe(&io___49);
do_fio(&c__1, "Left", (ftnlen)4);
do_fio(&c__1, "ZGEGV", (ftnlen)5);
do_fio(&c__1, (char *)&dumma[1], (ftnlen)sizeof(doublereal));
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();
}
zget52_(&c_false, &n, &a[a_offset], lda, &b[b_offset], lda, &vr[
vr_offset], ldq, &alpha2[1], &beta2[1], &work[1], &rwork[
1], dumma);
result[7] = dumma[0];
if (dumma[1] > *thresh) {
io___50.ciunit = *nounit;
s_wsfe(&io___50);
do_fio(&c__1, "Right", (ftnlen)5);
do_fio(&c__1, "ZGEGV", (ftnlen)5);
do_fio(&c__1, (char *)&dumma[1], (ftnlen)sizeof(doublereal));
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();
}
/* End of Loop -- Check for RESULT(j) > THRESH */
L130:
ntestt += ntest;
/* Print out tests which fail. */
i__3 = ntest;
for (jr = 1; jr <= i__3; ++jr) {
if (result[jr] >= *thresh) {
/* If this is the first test to fail, */
/* print a header to the data file. */
if (nerrs == 0) {
io___51.ciunit = *nounit;
s_wsfe(&io___51);
do_fio(&c__1, "ZGG", (ftnlen)3);
e_wsfe();
/* Matrix types */
io___52.ciunit = *nounit;
s_wsfe(&io___52);
e_wsfe();
io___53.ciunit = *nounit;
s_wsfe(&io___53);
e_wsfe();
io___54.ciunit = *nounit;
s_wsfe(&io___54);
do_fio(&c__1, "Unitary", (ftnlen)7);
e_wsfe();
/* Tests performed */
io___55.ciunit = *nounit;
s_wsfe(&io___55);
do_fio(&c__1, "unitary", (ftnlen)7);
do_fio(&c__1, "*", (ftnlen)1);
do_fio(&c__1, "conjugate transpose", (ftnlen)19);
for (j = 1; j <= 5; ++j) {
do_fio(&c__1, "*", (ftnlen)1);
}
e_wsfe();
}
++nerrs;
if (result[jr] < 1e4) {
io___56.ciunit = *nounit;
s_wsfe(&io___56);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
;
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&jr, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[jr], (ftnlen)sizeof(
doublereal));
e_wsfe();
} else {
io___57.ciunit = *nounit;
s_wsfe(&io___57);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
;
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&jr, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[jr], (ftnlen)sizeof(
doublereal));
e_wsfe();
}
}
/* L140: */
}
L150:
;
}
/* L160: */
}
/* Summary */
alasvm_("ZGG", nounit, &nerrs, &ntestt, &c__0);
return 0;
/* End of ZDRVGG */
} /* zdrvgg_ */
/* Subroutine */ int zgeqpf_(integer *m, integer *n, doublecomplex *a,
integer *lda, integer *jpvt, doublecomplex *tau, doublecomplex *work,
doublereal *rwork, integer *info)
{
/* System generated locals */
integer a_dim1, a_offset, i__1, i__2, i__3;
doublereal d__1;
doublecomplex z__1;
/* Builtin functions */
void d_cnjg(doublecomplex *, doublecomplex *);
double z_abs(doublecomplex *), sqrt(doublereal);
/* Local variables */
static integer i__, j, ma, mn;
static doublecomplex aii;
static integer pvt;
static doublereal temp, temp2;
static integer itemp;
extern /* Subroutine */ int zlarf_(char *, integer *, integer *,
doublecomplex *, integer *, doublecomplex *, doublecomplex *,
integer *, doublecomplex *, ftnlen), zswap_(integer *,
doublecomplex *, integer *, doublecomplex *, integer *), zgeqr2_(
integer *, integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *);
extern doublereal dznrm2_(integer *, doublecomplex *, integer *);
extern /* Subroutine */ int zunm2r_(char *, char *, integer *, integer *,
integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *, ftnlen,
ftnlen);
extern integer idamax_(integer *, doublereal *, integer *);
extern /* Subroutine */ int xerbla_(char *, integer *, ftnlen), zlarfg_(
integer *, doublecomplex *, doublecomplex *, integer *,
doublecomplex *);
/* -- LAPACK auxiliary 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 */
/* ======= */
/* This routine is deprecated and has been replaced by routine ZGEQP3. */
/* ZGEQPF computes a QR factorization with column pivoting of a */
/* complex M-by-N matrix A: A*P = Q*R. */
/* Arguments */
/* ========= */
/* M (input) INTEGER */
/* The number of rows of the matrix A. M >= 0. */
/* N (input) INTEGER */
/* The number of columns of the matrix A. N >= 0 */
/* A (input/output) COMPLEX*16 array, dimension (LDA,N) */
/* On entry, the M-by-N matrix A. */
/* On exit, the upper triangle of the array contains the */
/* min(M,N)-by-N upper triangular matrix R; the elements */
/* below the diagonal, together with the array TAU, */
/* represent the unitary matrix Q as a product of */
/* min(m,n) elementary reflectors. */
/* LDA (input) INTEGER */
/* The leading dimension of the array A. LDA >= max(1,M). */
/* JPVT (input/output) INTEGER array, dimension (N) */
/* On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted */
/* to the front of A*P (a leading column); if JPVT(i) = 0, */
/* the i-th column of A is a free column. */
/* On exit, if JPVT(i) = k, then the i-th column of A*P */
/* was the k-th column of A. */
/* TAU (output) COMPLEX*16 array, dimension (min(M,N)) */
/* The scalar factors of the elementary reflectors. */
/* WORK (workspace) COMPLEX*16 array, dimension (N) */
/* RWORK (workspace) DOUBLE PRECISION array, dimension (2*N) */
/* INFO (output) INTEGER */
/* = 0: successful exit */
/* < 0: if INFO = -i, the i-th argument had an illegal value */
/* Further Details */
/* =============== */
/* The matrix Q is represented as a product of elementary reflectors */
/* Q = H(1) H(2) . . . H(n) */
/* Each H(i) has the form */
/* H = I - tau * v * v' */
/* where tau is a complex scalar, and v is a complex vector with */
/* v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is stored on exit in A(i+1:m,i). */
/* The matrix P is represented in jpvt as follows: If */
/* jpvt(j) = i */
/* then the jth column of P is the ith canonical unit vector. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Test the input arguments */
/* Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--jpvt;
--tau;
--work;
--rwork;
/* Function Body */
*info = 0;
if (*m < 0) {
*info = -1;
} else if (*n < 0) {
*info = -2;
} else if (*lda < max(1,*m)) {
*info = -4;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("ZGEQPF", &i__1, (ftnlen)6);
return 0;
}
mn = min(*m,*n);
/* Move initial columns up front */
itemp = 1;
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
if (jpvt[i__] != 0) {
if (i__ != itemp) {
zswap_(m, &a[i__ * a_dim1 + 1], &c__1, &a[itemp * a_dim1 + 1],
&c__1);
jpvt[i__] = jpvt[itemp];
jpvt[itemp] = i__;
} else {
jpvt[i__] = i__;
}
++itemp;
} else {
jpvt[i__] = i__;
}
/* L10: */
}
--itemp;
/* Compute the QR factorization and update remaining columns */
if (itemp > 0) {
ma = min(itemp,*m);
zgeqr2_(m, &ma, &a[a_offset], lda, &tau[1], &work[1], info);
if (ma < *n) {
i__1 = *n - ma;
zunm2r_("Left", "Conjugate transpose", m, &i__1, &ma, &a[a_offset]
, lda, &tau[1], &a[(ma + 1) * a_dim1 + 1], lda, &work[1],
info, (ftnlen)4, (ftnlen)19);
}
}
if (itemp < mn) {
/* Initialize partial column norms. The first n elements of */
/* work store the exact column norms. */
i__1 = *n;
for (i__ = itemp + 1; i__ <= i__1; ++i__) {
i__2 = *m - itemp;
rwork[i__] = dznrm2_(&i__2, &a[itemp + 1 + i__ * a_dim1], &c__1);
rwork[*n + i__] = rwork[i__];
/* L20: */
}
/* Compute factorization */
i__1 = mn;
for (i__ = itemp + 1; i__ <= i__1; ++i__) {
/* Determine ith pivot column and swap if necessary */
i__2 = *n - i__ + 1;
pvt = i__ - 1 + idamax_(&i__2, &rwork[i__], &c__1);
if (pvt != i__) {
zswap_(m, &a[pvt * a_dim1 + 1], &c__1, &a[i__ * a_dim1 + 1], &
c__1);
itemp = jpvt[pvt];
jpvt[pvt] = jpvt[i__];
jpvt[i__] = itemp;
rwork[pvt] = rwork[i__];
rwork[*n + pvt] = rwork[*n + i__];
}
/* Generate elementary reflector H(i) */
i__2 = i__ + i__ * a_dim1;
aii.r = a[i__2].r, aii.i = a[i__2].i;
i__2 = *m - i__ + 1;
/* Computing MIN */
i__3 = i__ + 1;
zlarfg_(&i__2, &aii, &a[min(i__3,*m) + i__ * a_dim1], &c__1, &tau[
i__]);
i__2 = i__ + i__ * a_dim1;
a[i__2].r = aii.r, a[i__2].i = aii.i;
if (i__ < *n) {
/* Apply H(i) to A(i:m,i+1:n) from the left */
i__2 = i__ + i__ * a_dim1;
aii.r = a[i__2].r, aii.i = a[i__2].i;
i__2 = i__ + i__ * a_dim1;
a[i__2].r = 1., a[i__2].i = 0.;
i__2 = *m - i__ + 1;
i__3 = *n - i__;
d_cnjg(&z__1, &tau[i__]);
zlarf_("Left", &i__2, &i__3, &a[i__ + i__ * a_dim1], &c__1, &
z__1, &a[i__ + (i__ + 1) * a_dim1], lda, &work[1], (
ftnlen)4);
i__2 = i__ + i__ * a_dim1;
a[i__2].r = aii.r, a[i__2].i = aii.i;
}
/* Update partial column norms */
i__2 = *n;
for (j = i__ + 1; j <= i__2; ++j) {
if (rwork[j] != 0.) {
/* Computing 2nd power */
d__1 = z_abs(&a[i__ + j * a_dim1]) / rwork[j];
temp = 1. - d__1 * d__1;
temp = max(temp,0.);
/* Computing 2nd power */
d__1 = rwork[j] / rwork[*n + j];
temp2 = temp * .05 * (d__1 * d__1) + 1.;
if (temp2 == 1.) {
if (*m - i__ > 0) {
i__3 = *m - i__;
rwork[j] = dznrm2_(&i__3, &a[i__ + 1 + j * a_dim1]
, &c__1);
rwork[*n + j] = rwork[j];
} else {
rwork[j] = 0.;
rwork[*n + j] = 0.;
}
} else {
rwork[j] *= sqrt(temp);
}
}
/* L30: */
}
/* L40: */
}
}
return 0;
/* End of ZGEQPF */
} /* zgeqpf_ */
/* Subroutine */ int zgeqpf_(integer *m, integer *n, doublecomplex *a,
integer *lda, integer *jpvt, doublecomplex *tau, doublecomplex *work,
doublereal *rwork, integer *info)
{
/* -- LAPACK auxiliary routine (version 2.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
March 31, 1993
Purpose
=======
ZGEQPF computes a QR factorization with column pivoting of a
complex M-by-N matrix A: A*P = Q*R.
Arguments
=========
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0
A (input/output) COMPLEX*16 array, dimension (LDA,N)
On entry, the M-by-N matrix A.
On exit, the upper triangle of the array contains the
min(M,N)-by-N upper triangular matrix R; the elements
below the diagonal, together with the array TAU,
represent the orthogonal matrix Q as a product of
min(m,n) elementary reflectors.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
JPVT (input/output) INTEGER array, dimension (N)
On entry, if JPVT(i) .ne. 0, the i-th column of A is permuted
to the front of A*P (a leading column); if JPVT(i) = 0,
the i-th column of A is a free column.
On exit, if JPVT(i) = k, then the i-th column of A*P
was the k-th column of A.
TAU (output) COMPLEX*16 array, dimension (min(M,N))
The scalar factors of the elementary reflectors.
WORK (workspace) COMPLEX*16 array, dimension (N)
RWORK (workspace) DOUBLE PRECISION array, dimension (2*N)
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
Further Details
===============
The matrix Q is represented as a product of elementary reflectors
Q = H(1) H(2) . . . H(n)
Each H(i) has the form
H = I - tau * v * v'
where tau is a complex scalar, and v is a complex vector with
v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is stored on exit in A(i+1:m,i).
The matrix P is represented in jpvt as follows: If
jpvt(j) = i
then the jth column of P is the ith canonical unit vector.
=====================================================================
Test the input arguments
Parameter adjustments
Function Body */
/* Table of constant values */
static integer c__1 = 1;
/* System generated locals */
integer a_dim1, a_offset, i__1, i__2, i__3;
doublereal d__1;
doublecomplex z__1;
/* Builtin functions */
void d_cnjg(doublecomplex *, doublecomplex *);
double z_abs(doublecomplex *), sqrt(doublereal);
/* Local variables */
static doublereal temp, temp2;
static integer i, j, itemp;
extern /* Subroutine */ int zlarf_(char *, integer *, integer *,
doublecomplex *, integer *, doublecomplex *, doublecomplex *,
integer *, doublecomplex *), zswap_(integer *,
doublecomplex *, integer *, doublecomplex *, integer *), zgeqr2_(
integer *, integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *);
extern doublereal dznrm2_(integer *, doublecomplex *, integer *);
static integer ma, mn;
extern /* Subroutine */ int zunm2r_(char *, char *, integer *, integer *,
integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *);
extern integer idamax_(integer *, doublereal *, integer *);
extern /* Subroutine */ int xerbla_(char *, integer *), zlarfg_(
integer *, doublecomplex *, doublecomplex *, integer *,
doublecomplex *);
static doublecomplex aii;
static integer pvt;
#define JPVT(I) jpvt[(I)-1]
#define TAU(I) tau[(I)-1]
#define WORK(I) work[(I)-1]
#define RWORK(I) rwork[(I)-1]
#define A(I,J) a[(I)-1 + ((J)-1)* ( *lda)]
*info = 0;
if (*m < 0) {
*info = -1;
} else if (*n < 0) {
*info = -2;
} else if (*lda < max(1,*m)) {
*info = -4;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("ZGEQPF", &i__1);
return 0;
}
mn = min(*m,*n);
/* Move initial columns up front */
itemp = 1;
i__1 = *n;
for (i = 1; i <= *n; ++i) {
if (JPVT(i) != 0) {
if (i != itemp) {
zswap_(m, &A(1,i), &c__1, &A(1,itemp), &
c__1);
JPVT(i) = JPVT(itemp);
JPVT(itemp) = i;
} else {
JPVT(i) = i;
}
++itemp;
} else {
JPVT(i) = i;
}
/* L10: */
}
--itemp;
/* Compute the QR factorization and update remaining columns */
if (itemp > 0) {
ma = min(itemp,*m);
zgeqr2_(m, &ma, &A(1,1), lda, &TAU(1), &WORK(1), info);
if (ma < *n) {
i__1 = *n - ma;
zunm2r_("Left", "Conjugate transpose", m, &i__1, &ma, &A(1,1)
, lda, &TAU(1), &A(1,ma+1), lda, &WORK(1),
info);
}
}
if (itemp < mn) {
/* Initialize partial column norms. The first n elements of
work store the exact column norms. */
i__1 = *n;
for (i = itemp + 1; i <= *n; ++i) {
i__2 = *m - itemp;
RWORK(i) = dznrm2_(&i__2, &A(itemp+1,i), &c__1);
RWORK(*n + i) = RWORK(i);
/* L20: */
}
/* Compute factorization */
i__1 = mn;
for (i = itemp + 1; i <= mn; ++i) {
/* Determine ith pivot column and swap if necessary */
i__2 = *n - i + 1;
pvt = i - 1 + idamax_(&i__2, &RWORK(i), &c__1);
if (pvt != i) {
zswap_(m, &A(1,pvt), &c__1, &A(1,i), &
c__1);
itemp = JPVT(pvt);
JPVT(pvt) = JPVT(i);
JPVT(i) = itemp;
RWORK(pvt) = RWORK(i);
RWORK(*n + pvt) = RWORK(*n + i);
}
/* Generate elementary reflector H(i) */
i__2 = i + i * a_dim1;
aii.r = A(i,i).r, aii.i = A(i,i).i;
i__2 = *m - i + 1;
/* Computing MIN */
i__3 = i + 1;
zlarfg_(&i__2, &aii, &A(min(i+1,*m),i), &c__1, &TAU(i)
);
i__2 = i + i * a_dim1;
A(i,i).r = aii.r, A(i,i).i = aii.i;
if (i < *n) {
/* Apply H(i) to A(i:m,i+1:n) from the left */
i__2 = i + i * a_dim1;
aii.r = A(i,i).r, aii.i = A(i,i).i;
i__2 = i + i * a_dim1;
A(i,i).r = 1., A(i,i).i = 0.;
i__2 = *m - i + 1;
i__3 = *n - i;
d_cnjg(&z__1, &TAU(i));
zlarf_("Left", &i__2, &i__3, &A(i,i), &c__1, &z__1,
&A(i,i+1), lda, &WORK(1));
i__2 = i + i * a_dim1;
A(i,i).r = aii.r, A(i,i).i = aii.i;
}
/* Update partial column norms */
i__2 = *n;
for (j = i + 1; j <= *n; ++j) {
if (RWORK(j) != 0.) {
/* Computing 2nd power */
d__1 = z_abs(&A(i,j)) / RWORK(j);
temp = 1. - d__1 * d__1;
temp = max(temp,0.);
/* Computing 2nd power */
d__1 = RWORK(j) / RWORK(*n + j);
temp2 = temp * .05 * (d__1 * d__1) + 1.;
if (temp2 == 1.) {
if (*m - i > 0) {
i__3 = *m - i;
RWORK(j) = dznrm2_(&i__3, &A(i+1,j),
&c__1);
RWORK(*n + j) = RWORK(j);
} else {
RWORK(j) = 0.;
RWORK(*n + j) = 0.;
}
} else {
RWORK(j) *= sqrt(temp);
}
}
/* L30: */
}
/* L40: */
}
}
return 0;
/* End of ZGEQPF */
} /* zgeqpf_ */
/* Subroutine */ int zggsvp_(char *jobu, char *jobv, char *jobq, integer *m,
integer *p, integer *n, doublecomplex *a, integer *lda, doublecomplex
*b, integer *ldb, doublereal *tola, doublereal *tolb, integer *k,
integer *l, doublecomplex *u, integer *ldu, doublecomplex *v, integer
*ldv, doublecomplex *q, integer *ldq, integer *iwork, doublereal *
rwork, doublecomplex *tau, doublecomplex *work, integer *info)
{
/* -- LAPACK 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
=======
ZGGSVP computes unitary matrices U, V and Q such that
N-K-L K L
U'*A*Q = K ( 0 A12 A13 ) if M-K-L >= 0;
L ( 0 0 A23 )
M-K-L ( 0 0 0 )
N-K-L K L
= K ( 0 A12 A13 ) if M-K-L < 0;
M-K ( 0 0 A23 )
N-K-L K L
V'*B*Q = L ( 0 0 B13 )
P-L ( 0 0 0 )
where the K-by-K matrix A12 and L-by-L matrix B13 are nonsingular
upper triangular; A23 is L-by-L upper triangular if M-K-L >= 0,
otherwise A23 is (M-K)-by-L upper trapezoidal. K+L = the effective
numerical rank of the (M+P)-by-N matrix (A',B')'. Z' denotes the
conjugate transpose of Z.
This decomposition is the preprocessing step for computing the
Generalized Singular Value Decomposition (GSVD), see subroutine
ZGGSVD.
Arguments
=========
JOBU (input) CHARACTER*1
= 'U': Unitary matrix U is computed;
= 'N': U is not computed.
JOBV (input) CHARACTER*1
= 'V': Unitary matrix V is computed;
= 'N': V is not computed.
JOBQ (input) CHARACTER*1
= 'Q': Unitary matrix Q is computed;
= 'N': Q is not computed.
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
P (input) INTEGER
The number of rows of the matrix B. P >= 0.
N (input) INTEGER
The number of columns of the matrices A and B. N >= 0.
A (input/output) COMPLEX*16 array, dimension (LDA,N)
On entry, the M-by-N matrix A.
On exit, A contains the triangular (or trapezoidal) matrix
described in the Purpose section.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
B (input/output) COMPLEX*16 array, dimension (LDB,N)
On entry, the P-by-N matrix B.
On exit, B contains the triangular matrix described in
the Purpose section.
LDB (input) INTEGER
The leading dimension of the array B. LDB >= max(1,P).
TOLA (input) DOUBLE PRECISION
TOLB (input) DOUBLE PRECISION
TOLA and TOLB are the thresholds to determine the effective
numerical rank of matrix B and a subblock of A. Generally,
they are set to
TOLA = MAX(M,N)*norm(A)*MAZHEPS,
TOLB = MAX(P,N)*norm(B)*MAZHEPS.
The size of TOLA and TOLB may affect the size of backward
errors of the decomposition.
K (output) INTEGER
L (output) INTEGER
On exit, K and L specify the dimension of the subblocks
described in Purpose section.
K + L = effective numerical rank of (A',B')'.
U (output) COMPLEX*16 array, dimension (LDU,M)
If JOBU = 'U', U contains the unitary matrix U.
If JOBU = 'N', U is not referenced.
LDU (input) INTEGER
The leading dimension of the array U. LDU >= max(1,M) if
JOBU = 'U'; LDU >= 1 otherwise.
V (output) COMPLEX*16 array, dimension (LDV,M)
If JOBV = 'V', V contains the unitary matrix V.
If JOBV = 'N', V is not referenced.
LDV (input) INTEGER
The leading dimension of the array V. LDV >= max(1,P) if
JOBV = 'V'; LDV >= 1 otherwise.
Q (output) COMPLEX*16 array, dimension (LDQ,N)
If JOBQ = 'Q', Q contains the unitary matrix Q.
If JOBQ = 'N', Q is not referenced.
LDQ (input) INTEGER
The leading dimension of the array Q. LDQ >= max(1,N) if
JOBQ = 'Q'; LDQ >= 1 otherwise.
IWORK (workspace) INTEGER array, dimension (N)
RWORK (workspace) DOUBLE PRECISION array, dimension (2*N)
TAU (workspace) COMPLEX*16 array, dimension (N)
WORK (workspace) COMPLEX*16 array, dimension (max(3*N,M,P))
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value.
Further Details
===============
The subroutine uses LAPACK subroutine ZGEQPF for the QR factorization
with column pivoting to detect the effective numerical rank of the
a matrix. It may be replaced by a better rank determination strategy.
=====================================================================
Test the input parameters
Parameter adjustments */
/* Table of constant values */
static doublecomplex c_b1 = {0.,0.};
static doublecomplex c_b2 = {1.,0.};
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, q_dim1, q_offset, u_dim1,
u_offset, v_dim1, v_offset, i__1, i__2, i__3;
doublereal d__1, d__2;
/* Builtin functions */
double d_imag(doublecomplex *);
/* Local variables */
static integer i__, j;
extern logical lsame_(char *, char *);
static logical wantq, wantu, wantv;
extern /* Subroutine */ int zgeqr2_(integer *, integer *, doublecomplex *,
integer *, doublecomplex *, doublecomplex *, integer *), zgerq2_(
integer *, integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *), zung2r_(integer *, integer *,
integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *), zunm2r_(char *, char *, integer *,
integer *, integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *), zunmr2_(char *, char *, integer *, integer *, integer *,
doublecomplex *, integer *, doublecomplex *, doublecomplex *,
integer *, doublecomplex *, integer *), xerbla_(
char *, integer *), zgeqpf_(integer *, integer *,
doublecomplex *, integer *, integer *, doublecomplex *,
doublecomplex *, doublereal *, integer *), zlacpy_(char *,
integer *, integer *, doublecomplex *, integer *, doublecomplex *,
integer *);
static logical forwrd;
extern /* Subroutine */ int zlaset_(char *, integer *, integer *,
doublecomplex *, doublecomplex *, doublecomplex *, integer *), zlapmt_(logical *, integer *, integer *, doublecomplex *,
integer *, integer *);
#define a_subscr(a_1,a_2) (a_2)*a_dim1 + a_1
#define a_ref(a_1,a_2) a[a_subscr(a_1,a_2)]
#define b_subscr(a_1,a_2) (a_2)*b_dim1 + a_1
#define b_ref(a_1,a_2) b[b_subscr(a_1,a_2)]
#define u_subscr(a_1,a_2) (a_2)*u_dim1 + a_1
#define u_ref(a_1,a_2) u[u_subscr(a_1,a_2)]
#define v_subscr(a_1,a_2) (a_2)*v_dim1 + a_1
#define v_ref(a_1,a_2) v[v_subscr(a_1,a_2)]
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
b_dim1 = *ldb;
b_offset = 1 + b_dim1 * 1;
b -= b_offset;
u_dim1 = *ldu;
u_offset = 1 + u_dim1 * 1;
u -= u_offset;
v_dim1 = *ldv;
v_offset = 1 + v_dim1 * 1;
v -= v_offset;
q_dim1 = *ldq;
q_offset = 1 + q_dim1 * 1;
q -= q_offset;
--iwork;
--rwork;
--tau;
--work;
/* Function Body */
wantu = lsame_(jobu, "U");
wantv = lsame_(jobv, "V");
wantq = lsame_(jobq, "Q");
forwrd = TRUE_;
*info = 0;
if (! (wantu || lsame_(jobu, "N"))) {
*info = -1;
} else if (! (wantv || lsame_(jobv, "N"))) {
*info = -2;
} else if (! (wantq || lsame_(jobq, "N"))) {
*info = -3;
} else if (*m < 0) {
*info = -4;
} else if (*p < 0) {
*info = -5;
} else if (*n < 0) {
*info = -6;
} else if (*lda < max(1,*m)) {
*info = -8;
} else if (*ldb < max(1,*p)) {
*info = -10;
} else if (*ldu < 1 || wantu && *ldu < *m) {
*info = -16;
} else if (*ldv < 1 || wantv && *ldv < *p) {
*info = -18;
} else if (*ldq < 1 || wantq && *ldq < *n) {
*info = -20;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("ZGGSVP", &i__1);
return 0;
}
/* QR with column pivoting of B: B*P = V*( S11 S12 )
( 0 0 ) */
i__1 = *n;
for (i__ = 1; i__ <= i__1; ++i__) {
iwork[i__] = 0;
/* L10: */
}
zgeqpf_(p, n, &b[b_offset], ldb, &iwork[1], &tau[1], &work[1], &rwork[1],
info);
/* Update A := A*P */
zlapmt_(&forwrd, m, n, &a[a_offset], lda, &iwork[1]);
/* Determine the effective rank of matrix B. */
*l = 0;
i__1 = min(*p,*n);
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = b_subscr(i__, i__);
if ((d__1 = b[i__2].r, abs(d__1)) + (d__2 = d_imag(&b_ref(i__, i__)),
abs(d__2)) > *tolb) {
++(*l);
}
/* L20: */
}
if (wantv) {
/* Copy the details of V, and form V. */
zlaset_("Full", p, p, &c_b1, &c_b1, &v[v_offset], ldv);
if (*p > 1) {
i__1 = *p - 1;
zlacpy_("Lower", &i__1, n, &b_ref(2, 1), ldb, &v_ref(2, 1), ldv);
}
i__1 = min(*p,*n);
zung2r_(p, p, &i__1, &v[v_offset], ldv, &tau[1], &work[1], info);
}
/* Clean up B */
i__1 = *l - 1;
for (j = 1; j <= i__1; ++j) {
i__2 = *l;
for (i__ = j + 1; i__ <= i__2; ++i__) {
i__3 = b_subscr(i__, j);
b[i__3].r = 0., b[i__3].i = 0.;
/* L30: */
}
/* L40: */
}
if (*p > *l) {
i__1 = *p - *l;
zlaset_("Full", &i__1, n, &c_b1, &c_b1, &b_ref(*l + 1, 1), ldb);
}
if (wantq) {
/* Set Q = I and Update Q := Q*P */
zlaset_("Full", n, n, &c_b1, &c_b2, &q[q_offset], ldq);
zlapmt_(&forwrd, n, n, &q[q_offset], ldq, &iwork[1]);
}
if (*p >= *l && *n != *l) {
/* RQ factorization of ( S11 S12 ) = ( 0 S12 )*Z */
zgerq2_(l, n, &b[b_offset], ldb, &tau[1], &work[1], info);
/* Update A := A*Z' */
zunmr2_("Right", "Conjugate transpose", m, n, l, &b[b_offset], ldb, &
tau[1], &a[a_offset], lda, &work[1], info);
if (wantq) {
/* Update Q := Q*Z' */
zunmr2_("Right", "Conjugate transpose", n, n, l, &b[b_offset],
ldb, &tau[1], &q[q_offset], ldq, &work[1], info);
}
/* Clean up B */
i__1 = *n - *l;
zlaset_("Full", l, &i__1, &c_b1, &c_b1, &b[b_offset], ldb);
i__1 = *n;
for (j = *n - *l + 1; j <= i__1; ++j) {
i__2 = *l;
for (i__ = j - *n + *l + 1; i__ <= i__2; ++i__) {
i__3 = b_subscr(i__, j);
b[i__3].r = 0., b[i__3].i = 0.;
/* L50: */
}
/* L60: */
}
}
/* Let N-L L
A = ( A11 A12 ) M,
then the following does the complete QR decomposition of A11:
A11 = U*( 0 T12 )*P1'
( 0 0 ) */
i__1 = *n - *l;
for (i__ = 1; i__ <= i__1; ++i__) {
iwork[i__] = 0;
/* L70: */
}
i__1 = *n - *l;
zgeqpf_(m, &i__1, &a[a_offset], lda, &iwork[1], &tau[1], &work[1], &rwork[
1], info);
/* Determine the effective rank of A11 */
*k = 0;
/* Computing MIN */
i__2 = *m, i__3 = *n - *l;
i__1 = min(i__2,i__3);
for (i__ = 1; i__ <= i__1; ++i__) {
i__2 = a_subscr(i__, i__);
if ((d__1 = a[i__2].r, abs(d__1)) + (d__2 = d_imag(&a_ref(i__, i__)),
abs(d__2)) > *tola) {
++(*k);
}
/* L80: */
}
/* Update A12 := U'*A12, where A12 = A( 1:M, N-L+1:N )
Computing MIN */
i__2 = *m, i__3 = *n - *l;
i__1 = min(i__2,i__3);
zunm2r_("Left", "Conjugate transpose", m, l, &i__1, &a[a_offset], lda, &
tau[1], &a_ref(1, *n - *l + 1), lda, &work[1], info);
if (wantu) {
/* Copy the details of U, and form U */
zlaset_("Full", m, m, &c_b1, &c_b1, &u[u_offset], ldu);
if (*m > 1) {
i__1 = *m - 1;
i__2 = *n - *l;
zlacpy_("Lower", &i__1, &i__2, &a_ref(2, 1), lda, &u_ref(2, 1),
ldu);
}
/* Computing MIN */
i__2 = *m, i__3 = *n - *l;
i__1 = min(i__2,i__3);
zung2r_(m, m, &i__1, &u[u_offset], ldu, &tau[1], &work[1], info);
}
if (wantq) {
/* Update Q( 1:N, 1:N-L ) = Q( 1:N, 1:N-L )*P1 */
i__1 = *n - *l;
zlapmt_(&forwrd, n, &i__1, &q[q_offset], ldq, &iwork[1]);
}
/* Clean up A: set the strictly lower triangular part of
A(1:K, 1:K) = 0, and A( K+1:M, 1:N-L ) = 0. */
i__1 = *k - 1;
for (j = 1; j <= i__1; ++j) {
i__2 = *k;
for (i__ = j + 1; i__ <= i__2; ++i__) {
i__3 = a_subscr(i__, j);
a[i__3].r = 0., a[i__3].i = 0.;
/* L90: */
}
/* L100: */
}
if (*m > *k) {
i__1 = *m - *k;
i__2 = *n - *l;
zlaset_("Full", &i__1, &i__2, &c_b1, &c_b1, &a_ref(*k + 1, 1), lda);
}
if (*n - *l > *k) {
/* RQ factorization of ( T11 T12 ) = ( 0 T12 )*Z1 */
i__1 = *n - *l;
zgerq2_(k, &i__1, &a[a_offset], lda, &tau[1], &work[1], info);
if (wantq) {
/* Update Q( 1:N,1:N-L ) = Q( 1:N,1:N-L )*Z1' */
i__1 = *n - *l;
zunmr2_("Right", "Conjugate transpose", n, &i__1, k, &a[a_offset],
lda, &tau[1], &q[q_offset], ldq, &work[1], info);
}
/* Clean up A */
i__1 = *n - *l - *k;
zlaset_("Full", k, &i__1, &c_b1, &c_b1, &a[a_offset], lda);
i__1 = *n - *l;
for (j = *n - *l - *k + 1; j <= i__1; ++j) {
i__2 = *k;
for (i__ = j - *n + *l + *k + 1; i__ <= i__2; ++i__) {
i__3 = a_subscr(i__, j);
a[i__3].r = 0., a[i__3].i = 0.;
/* L110: */
}
/* L120: */
}
}
if (*m > *k) {
/* QR factorization of A( K+1:M,N-L+1:N ) */
i__1 = *m - *k;
zgeqr2_(&i__1, l, &a_ref(*k + 1, *n - *l + 1), lda, &tau[1], &work[1],
info);
if (wantu) {
/* Update U(:,K+1:M) := U(:,K+1:M)*U1 */
i__1 = *m - *k;
/* Computing MIN */
i__3 = *m - *k;
i__2 = min(i__3,*l);
zunm2r_("Right", "No transpose", m, &i__1, &i__2, &a_ref(*k + 1, *
n - *l + 1), lda, &tau[1], &u_ref(1, *k + 1), ldu, &work[
1], info);
}
/* Clean up */
i__1 = *n;
for (j = *n - *l + 1; j <= i__1; ++j) {
i__2 = *m;
for (i__ = j - *n + *k + *l + 1; i__ <= i__2; ++i__) {
i__3 = a_subscr(i__, j);
a[i__3].r = 0., a[i__3].i = 0.;
/* L130: */
}
/* L140: */
}
}
return 0;
/* End of ZGGSVP */
} /* zggsvp_ */
/* Subroutine */ int zunmqr_(char *side, char *trans, integer *m, integer *n,
integer *k, doublecomplex *a, integer *lda, doublecomplex *tau,
doublecomplex *c__, integer *ldc, doublecomplex *work, integer *lwork,
integer *info)
{
/* System generated locals */
address a__1[2];
integer a_dim1, a_offset, c_dim1, c_offset, i__1, i__2, i__3[2], i__4,
i__5;
char ch__1[2];
/* Local variables */
integer i__;
doublecomplex t[4160] /* was [65][64] */;
integer i1, i2, i3, ib, ic, jc, nb, mi, ni, nq, nw, iws;
logical left;
integer nbmin, iinfo;
logical notran;
integer ldwork;
integer lwkopt;
logical lquery;
/* -- LAPACK routine (version 3.2) -- */
/* November 2006 */
/* Purpose */
/* ======= */
/* ZUNMQR overwrites the general complex M-by-N matrix C with */
/* SIDE = 'L' SIDE = 'R' */
/* TRANS = 'N': Q * C C * Q */
/* TRANS = 'C': Q**H * C C * Q**H */
/* where Q is a complex unitary matrix defined as the product of k */
/* elementary reflectors */
/* Q = H(1) H(2) . . . H(k) */
/* as returned by ZGEQRF. Q is of order M if SIDE = 'L' and of order N */
/* if SIDE = 'R'. */
/* Arguments */
/* ========= */
/* SIDE (input) CHARACTER*1 */
/* = 'L': apply Q or Q**H from the Left; */
/* = 'R': apply Q or Q**H from the Right. */
/* TRANS (input) CHARACTER*1 */
/* = 'N': No transpose, apply Q; */
/* = 'C': Conjugate transpose, apply Q**H. */
/* M (input) INTEGER */
/* The number of rows of the matrix C. M >= 0. */
/* N (input) INTEGER */
/* The number of columns of the matrix C. N >= 0. */
/* K (input) INTEGER */
/* The number of elementary reflectors whose product defines */
/* the matrix Q. */
/* If SIDE = 'L', M >= K >= 0; */
/* if SIDE = 'R', N >= K >= 0. */
/* A (input) COMPLEX*16 array, dimension (LDA,K) */
/* The i-th column must contain the vector which defines the */
/* ZGEQRF in the first k columns of its array argument A. */
/* A is modified by the routine but restored on exit. */
/* LDA (input) INTEGER */
/* The leading dimension of the array A. */
/* If SIDE = 'L', LDA >= max(1,M); */
/* if SIDE = 'R', LDA >= max(1,N). */
/* TAU (input) COMPLEX*16 array, dimension (K) */
/* TAU(i) must contain the scalar factor of the elementary */
/* reflector H(i), as returned by ZGEQRF. */
/* C (input/output) COMPLEX*16 array, dimension (LDC,N) */
/* On entry, the M-by-N matrix C. */
/* On exit, C is overwritten by Q*C or Q**H*C or C*Q**H or C*Q. */
/* LDC (input) INTEGER */
/* The leading dimension of the array C. LDC >= max(1,M). */
/* WORK (workspace/output) COMPLEX*16 array, dimension (MAX(1,LWORK)) */
/* On exit, if INFO = 0, WORK(1) returns the optimal LWORK. */
/* LWORK (input) INTEGER */
/* The dimension of the array WORK. */
/* If SIDE = 'L', LWORK >= max(1,N); */
/* if SIDE = 'R', LWORK >= max(1,M). */
/* For optimum performance LWORK >= N*NB if SIDE = 'L', and */
/* LWORK >= M*NB if SIDE = 'R', where NB is the optimal */
/* blocksize. */
/* If LWORK = -1, then a workspace query is assumed; the routine */
/* only calculates the optimal size of the WORK array, returns */
/* this value as the first entry of the WORK array, and no error */
/* message related to LWORK is issued by XERBLA. */
/* INFO (output) INTEGER */
/* = 0: successful exit */
/* < 0: if INFO = -i, the i-th argument had an illegal value */
/* ===================================================================== */
/* Test the input arguments */
/* Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--tau;
c_dim1 = *ldc;
c_offset = 1 + c_dim1;
c__ -= c_offset;
--work;
/* Function Body */
*info = 0;
left = lsame_(side, "L");
notran = lsame_(trans, "N");
lquery = *lwork == -1;
/* NQ is the order of Q and NW is the minimum dimension of WORK */
if (left) {
nq = *m;
nw = *n;
} else {
nq = *n;
nw = *m;
}
if (! left && ! lsame_(side, "R")) {
*info = -1;
} else if (! notran && ! lsame_(trans, "C")) {
*info = -2;
} else if (*m < 0) {
*info = -3;
} else if (*n < 0) {
*info = -4;
} else if (*k < 0 || *k > nq) {
*info = -5;
} else if (*lda < max(1,nq)) {
*info = -7;
} else if (*ldc < max(1,*m)) {
*info = -10;
} else if (*lwork < max(1,nw) && ! lquery) {
*info = -12;
}
if (*info == 0) {
/* Determine the block size. NB may be at most NBMAX, where NBMAX */
/* is used to define the local array T. */
/* Computing MIN */
/* Writing concatenation */
i__3[0] = 1, a__1[0] = side;
i__3[1] = 1, a__1[1] = trans;
s_cat(ch__1, a__1, i__3, &c__2, (ftnlen)2);
i__1 = 64, i__2 = ilaenv_(&c__1, "ZUNMQR", ch__1, m, n, k, &c_n1);
nb = min(i__1,i__2);
lwkopt = max(1,nw) * nb;
work[1].r = (doublereal) lwkopt, work[1].i = 0.;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("ZUNMQR", &i__1);
return 0;
} else if (lquery) {
return 0;
}
/* Quick return if possible */
if (*m == 0 || *n == 0 || *k == 0) {
work[1].r = 1., work[1].i = 0.;
return 0;
}
nbmin = 2;
ldwork = nw;
if (nb > 1 && nb < *k) {
iws = nw * nb;
if (*lwork < iws) {
nb = *lwork / ldwork;
/* Computing MAX */
/* Writing concatenation */
i__3[0] = 1, a__1[0] = side;
i__3[1] = 1, a__1[1] = trans;
s_cat(ch__1, a__1, i__3, &c__2, (ftnlen)2);
i__1 = 2, i__2 = ilaenv_(&c__2, "ZUNMQR", ch__1, m, n, k, &c_n1);
nbmin = max(i__1,i__2);
}
} else {
iws = nw;
}
if (nb < nbmin || nb >= *k) {
/* Use unblocked code */
zunm2r_(side, trans, m, n, k, &a[a_offset], lda, &tau[1], &c__[
c_offset], ldc, &work[1], &iinfo);
} else {
/* Use blocked code */
if (left && ! notran || ! left && notran) {
i1 = 1;
i2 = *k;
i3 = nb;
} else {
i1 = (*k - 1) / nb * nb + 1;
i2 = 1;
i3 = -nb;
}
if (left) {
ni = *n;
jc = 1;
} else {
mi = *m;
ic = 1;
}
i__1 = i2;
i__2 = i3;
for (i__ = i1; i__2 < 0 ? i__ >= i__1 : i__ <= i__1; i__ += i__2) {
/* Computing MIN */
i__4 = nb, i__5 = *k - i__ + 1;
ib = min(i__4,i__5);
/* Form the triangular factor of the block reflector */
/* H = H(i) H(i+1) . . . H(i+ib-1) */
i__4 = nq - i__ + 1;
zlarft_("Forward", "Columnwise", &i__4, &ib, &a[i__ + i__ *
a_dim1], lda, &tau[i__], t, &c__65)
;
if (left) {
/* H or H' is applied to C(i:m,1:n) */
mi = *m - i__ + 1;
ic = i__;
} else {
/* H or H' is applied to C(1:m,i:n) */
ni = *n - i__ + 1;
jc = i__;
}
/* Apply H or H' */
zlarfb_(side, trans, "Forward", "Columnwise", &mi, &ni, &ib, &a[
i__ + i__ * a_dim1], lda, t, &c__65, &c__[ic + jc *
c_dim1], ldc, &work[1], &ldwork);
}
}
work[1].r = (doublereal) lwkopt, work[1].i = 0.;
return 0;
/* End of ZUNMQR */
} /* zunmqr_ */
/* ----------------------------------------------------------------------- */
/* Subroutine */ int zneupd_(logical *rvec, char *howmny, logical *select,
doublecomplex *d__, doublecomplex *z__, integer *ldz, doublecomplex *
sigma, doublecomplex *workev, char *bmat, integer *n, char *which,
integer *nev, doublereal *tol, doublecomplex *resid, integer *ncv,
doublecomplex *v, integer *ldv, integer *iparam, integer *ipntr,
doublecomplex *workd, doublecomplex *workl, integer *lworkl,
doublereal *rwork, integer *info, ftnlen howmny_len, ftnlen bmat_len,
ftnlen which_len)
{
/* System generated locals */
integer v_dim1, v_offset, z_dim1, z_offset, i__1, i__2;
doublereal d__1, d__2, d__3, d__4;
doublecomplex z__1, z__2;
/* Builtin functions */
double pow_dd(doublereal *, doublereal *);
integer s_cmp(char *, char *, ftnlen, ftnlen);
/* Subroutine */ int s_copy(char *, char *, ftnlen, ftnlen);
double d_imag(doublecomplex *);
void z_div(doublecomplex *, doublecomplex *, doublecomplex *);
/* Local variables */
static integer j, k, ih, jj, iq, np;
static doublecomplex vl[1];
static integer wr, ibd, ldh, ldq;
static doublereal sep;
static integer irz, mode;
static doublereal eps23;
static integer ierr;
static doublecomplex temp;
static integer iwev;
static char type__[6];
static integer ritz, iheig, ihbds;
static doublereal conds;
static logical reord;
extern /* Subroutine */ int zscal_(integer *, doublecomplex *,
doublecomplex *, integer *);
static integer nconv;
extern /* Double Complex */ VOID zdotc_(doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *);
static doublereal rtemp;
static doublecomplex rnorm;
extern /* Subroutine */ int zgeru_(integer *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublecomplex *, integer *), zcopy_(integer *, doublecomplex *,
integer *, doublecomplex *, integer *), ivout_(integer *, integer
*, integer *, integer *, char *, ftnlen), ztrmm_(char *, char *,
char *, char *, integer *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *, ftnlen,
ftnlen, ftnlen, ftnlen), zmout_(integer *, integer *, integer *,
doublecomplex *, integer *, integer *, char *, ftnlen), zvout_(
integer *, integer *, doublecomplex *, integer *, char *, ftnlen);
extern doublereal dlapy2_(doublereal *, doublereal *);
extern /* Subroutine */ int zgeqr2_(integer *, integer *, doublecomplex *,
integer *, doublecomplex *, doublecomplex *, integer *);
extern doublereal dznrm2_(integer *, doublecomplex *, integer *), dlamch_(
char *, ftnlen);
extern /* Subroutine */ int zunm2r_(char *, char *, integer *, integer *,
integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *, ftnlen,
ftnlen);
static integer bounds, invsub, iuptri, msglvl, outncv, numcnv, ishift;
extern /* Subroutine */ int zlacpy_(char *, integer *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *, ftnlen),
zlahqr_(logical *, logical *, integer *, integer *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *, integer *,
doublecomplex *, integer *, integer *), zngets_(integer *, char *
, integer *, integer *, doublecomplex *, doublecomplex *, ftnlen),
zlaset_(char *, integer *, integer *, doublecomplex *,
doublecomplex *, doublecomplex *, integer *, ftnlen), ztrsen_(
char *, char *, logical *, integer *, doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublereal *, doublereal *, doublecomplex *, integer *, integer *,
ftnlen, ftnlen), ztrevc_(char *, char *, logical *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublecomplex *, integer *, integer *, integer *, doublecomplex *,
doublereal *, integer *, ftnlen, ftnlen), zdscal_(integer *,
doublereal *, doublecomplex *, integer *);
/* %----------------------------------------------------% */
/* | Include files for debugging and timing information | */
/* %----------------------------------------------------% */
/* \SCCS Information: @(#) */
/* FILE: debug.h SID: 2.3 DATE OF SID: 11/16/95 RELEASE: 2 */
/* %---------------------------------% */
/* | See debug.doc for documentation | */
/* %---------------------------------% */
/* %------------------% */
/* | Scalar Arguments | */
/* %------------------% */
/* %--------------------------------% */
/* | See stat.doc for documentation | */
/* %--------------------------------% */
/* \SCCS Information: @(#) */
/* FILE: stat.h SID: 2.2 DATE OF SID: 11/16/95 RELEASE: 2 */
/* %-----------------% */
/* | Array Arguments | */
/* %-----------------% */
/* %------------% */
/* | Parameters | */
/* %------------% */
/* %---------------% */
/* | Local Scalars | */
/* %---------------% */
/* %----------------------% */
/* | External Subroutines | */
/* %----------------------% */
/* %--------------------% */
/* | External Functions | */
/* %--------------------% */
/* %-----------------------% */
/* | Executable Statements | */
/* %-----------------------% */
/* %------------------------% */
/* | Set default parameters | */
/* %------------------------% */
/* Parameter adjustments */
--workd;
--resid;
z_dim1 = *ldz;
z_offset = 1 + z_dim1;
z__ -= z_offset;
--d__;
--rwork;
--workev;
--select;
v_dim1 = *ldv;
v_offset = 1 + v_dim1;
v -= v_offset;
--iparam;
--ipntr;
--workl;
/* Function Body */
msglvl = debug_1.mceupd;
mode = iparam[7];
nconv = iparam[5];
*info = 0;
/* %---------------------------------% */
/* | Get machine dependent constant. | */
/* %---------------------------------% */
eps23 = dlamch_("Epsilon-Machine", (ftnlen)15);
eps23 = pow_dd(&eps23, &c_b5);
/* %-------------------------------% */
/* | Quick return | */
/* | Check for incompatible input | */
/* %-------------------------------% */
ierr = 0;
if (nconv <= 0) {
ierr = -14;
} else if (*n <= 0) {
ierr = -1;
} else if (*nev <= 0) {
ierr = -2;
} else if (*ncv <= *nev || *ncv > *n) {
ierr = -3;
} else if (s_cmp(which, "LM", (ftnlen)2, (ftnlen)2) != 0 && s_cmp(which,
"SM", (ftnlen)2, (ftnlen)2) != 0 && s_cmp(which, "LR", (ftnlen)2,
(ftnlen)2) != 0 && s_cmp(which, "SR", (ftnlen)2, (ftnlen)2) != 0
&& s_cmp(which, "LI", (ftnlen)2, (ftnlen)2) != 0 && s_cmp(which,
"SI", (ftnlen)2, (ftnlen)2) != 0) {
ierr = -5;
} else if (*(unsigned char *)bmat != 'I' && *(unsigned char *)bmat != 'G')
{
ierr = -6;
} else /* if(complicated condition) */ {
/* Computing 2nd power */
i__1 = *ncv;
if (*lworkl < i__1 * i__1 * 3 + (*ncv << 2)) {
ierr = -7;
} else if (*(unsigned char *)howmny != 'A' && *(unsigned char *)
howmny != 'P' && *(unsigned char *)howmny != 'S' && *rvec) {
ierr = -13;
} else if (*(unsigned char *)howmny == 'S') {
ierr = -12;
}
}
if (mode == 1 || mode == 2) {
s_copy(type__, "REGULR", (ftnlen)6, (ftnlen)6);
} else if (mode == 3) {
s_copy(type__, "SHIFTI", (ftnlen)6, (ftnlen)6);
} else {
ierr = -10;
}
if (mode == 1 && *(unsigned char *)bmat == 'G') {
ierr = -11;
}
/* %------------% */
/* | Error Exit | */
/* %------------% */
if (ierr != 0) {
*info = ierr;
goto L9000;
}
/* %--------------------------------------------------------% */
/* | Pointer into WORKL for address of H, RITZ, WORKEV, Q | */
/* | etc... and the remaining workspace. | */
/* | Also update pointer to be used on output. | */
/* | Memory is laid out as follows: | */
/* | workl(1:ncv*ncv) := generated Hessenberg matrix | */
/* | workl(ncv*ncv+1:ncv*ncv+ncv) := ritz values | */
/* | workl(ncv*ncv+ncv+1:ncv*ncv+2*ncv) := error bounds | */
/* %--------------------------------------------------------% */
/* %-----------------------------------------------------------% */
/* | The following is used and set by ZNEUPD. | */
/* | workl(ncv*ncv+2*ncv+1:ncv*ncv+3*ncv) := The untransformed | */
/* | Ritz values. | */
/* | workl(ncv*ncv+3*ncv+1:ncv*ncv+4*ncv) := The untransformed | */
/* | error bounds of | */
/* | the Ritz values | */
/* | workl(ncv*ncv+4*ncv+1:2*ncv*ncv+4*ncv) := Holds the upper | */
/* | triangular matrix | */
/* | for H. | */
/* | workl(2*ncv*ncv+4*ncv+1: 3*ncv*ncv+4*ncv) := Holds the | */
/* | associated matrix | */
/* | representation of | */
/* | the invariant | */
/* | subspace for H. | */
/* | GRAND total of NCV * ( 3 * NCV + 4 ) locations. | */
/* %-----------------------------------------------------------% */
ih = ipntr[5];
ritz = ipntr[6];
iq = ipntr[7];
bounds = ipntr[8];
ldh = *ncv;
ldq = *ncv;
iheig = bounds + ldh;
ihbds = iheig + ldh;
iuptri = ihbds + ldh;
invsub = iuptri + ldh * *ncv;
ipntr[9] = iheig;
ipntr[11] = ihbds;
ipntr[12] = iuptri;
ipntr[13] = invsub;
wr = 1;
iwev = wr + *ncv;
/* %-----------------------------------------% */
/* | irz points to the Ritz values computed | */
/* | by _neigh before exiting _naup2. | */
/* | ibd points to the Ritz estimates | */
/* | computed by _neigh before exiting | */
/* | _naup2. | */
/* %-----------------------------------------% */
irz = ipntr[14] + *ncv * *ncv;
ibd = irz + *ncv;
/* %------------------------------------% */
/* | RNORM is B-norm of the RESID(1:N). | */
/* %------------------------------------% */
i__1 = ih + 2;
rnorm.r = workl[i__1].r, rnorm.i = workl[i__1].i;
i__1 = ih + 2;
workl[i__1].r = 0., workl[i__1].i = 0.;
if (msglvl > 2) {
zvout_(&debug_1.logfil, ncv, &workl[irz], &debug_1.ndigit, "_neupd: "
"Ritz values passed in from _NAUPD.", (ftnlen)42);
zvout_(&debug_1.logfil, ncv, &workl[ibd], &debug_1.ndigit, "_neupd: "
"Ritz estimates passed in from _NAUPD.", (ftnlen)45);
}
if (*rvec) {
reord = FALSE_;
/* %---------------------------------------------------% */
/* | Use the temporary bounds array to store indices | */
/* | These will be used to mark the select array later | */
/* %---------------------------------------------------% */
i__1 = *ncv;
for (j = 1; j <= i__1; ++j) {
i__2 = bounds + j - 1;
workl[i__2].r = (doublereal) j, workl[i__2].i = 0.;
select[j] = FALSE_;
/* L10: */
}
/* %-------------------------------------% */
/* | Select the wanted Ritz values. | */
/* | Sort the Ritz values so that the | */
/* | wanted ones appear at the tailing | */
/* | NEV positions of workl(irr) and | */
/* | workl(iri). Move the corresponding | */
/* | error estimates in workl(ibd) | */
/* | accordingly. | */
/* %-------------------------------------% */
np = *ncv - *nev;
ishift = 0;
zngets_(&ishift, which, nev, &np, &workl[irz], &workl[bounds], (
ftnlen)2);
if (msglvl > 2) {
zvout_(&debug_1.logfil, ncv, &workl[irz], &debug_1.ndigit, "_neu"
"pd: Ritz values after calling _NGETS.", (ftnlen)41);
zvout_(&debug_1.logfil, ncv, &workl[bounds], &debug_1.ndigit,
"_neupd: Ritz value indices after calling _NGETS.", (
ftnlen)48);
}
/* %-----------------------------------------------------% */
/* | Record indices of the converged wanted Ritz values | */
/* | Mark the select array for possible reordering | */
/* %-----------------------------------------------------% */
numcnv = 0;
i__1 = *ncv;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = irz + *ncv - j;
d__3 = workl[i__2].r;
d__4 = d_imag(&workl[irz + *ncv - j]);
d__1 = eps23, d__2 = dlapy2_(&d__3, &d__4);
rtemp = max(d__1,d__2);
i__2 = bounds + *ncv - j;
jj = (integer) workl[i__2].r;
i__2 = ibd + jj - 1;
d__1 = workl[i__2].r;
d__2 = d_imag(&workl[ibd + jj - 1]);
if (numcnv < nconv && dlapy2_(&d__1, &d__2) <= *tol * rtemp) {
select[jj] = TRUE_;
++numcnv;
if (jj > *nev) {
reord = TRUE_;
}
}
/* L11: */
}
/* %-----------------------------------------------------------% */
/* | Check the count (numcnv) of converged Ritz values with | */
/* | the number (nconv) reported by dnaupd. If these two | */
/* | are different then there has probably been an error | */
/* | caused by incorrect passing of the dnaupd data. | */
/* %-----------------------------------------------------------% */
if (msglvl > 2) {
ivout_(&debug_1.logfil, &c__1, &numcnv, &debug_1.ndigit, "_neupd"
": Number of specified eigenvalues", (ftnlen)39);
ivout_(&debug_1.logfil, &c__1, &nconv, &debug_1.ndigit, "_neupd:"
" Number of \"converged\" eigenvalues", (ftnlen)41);
}
if (numcnv != nconv) {
*info = -15;
goto L9000;
}
/* %-------------------------------------------------------% */
/* | Call LAPACK routine zlahqr to compute the Schur form | */
/* | of the upper Hessenberg matrix returned by ZNAUPD. | */
/* | Make a copy of the upper Hessenberg matrix. | */
/* | Initialize the Schur vector matrix Q to the identity. | */
/* %-------------------------------------------------------% */
i__1 = ldh * *ncv;
zcopy_(&i__1, &workl[ih], &c__1, &workl[iuptri], &c__1);
zlaset_("All", ncv, ncv, &c_b2, &c_b1, &workl[invsub], &ldq, (ftnlen)
3);
zlahqr_(&c_true, &c_true, ncv, &c__1, ncv, &workl[iuptri], &ldh, &
workl[iheig], &c__1, ncv, &workl[invsub], &ldq, &ierr);
zcopy_(ncv, &workl[invsub + *ncv - 1], &ldq, &workl[ihbds], &c__1);
if (ierr != 0) {
*info = -8;
goto L9000;
}
if (msglvl > 1) {
zvout_(&debug_1.logfil, ncv, &workl[iheig], &debug_1.ndigit,
"_neupd: Eigenvalues of H", (ftnlen)24);
zvout_(&debug_1.logfil, ncv, &workl[ihbds], &debug_1.ndigit,
"_neupd: Last row of the Schur vector matrix", (ftnlen)43)
;
if (msglvl > 3) {
zmout_(&debug_1.logfil, ncv, ncv, &workl[iuptri], &ldh, &
debug_1.ndigit, "_neupd: The upper triangular matrix "
, (ftnlen)36);
}
}
if (reord) {
/* %-----------------------------------------------% */
/* | Reorder the computed upper triangular matrix. | */
/* %-----------------------------------------------% */
ztrsen_("None", "V", &select[1], ncv, &workl[iuptri], &ldh, &
workl[invsub], &ldq, &workl[iheig], &nconv, &conds, &sep,
&workev[1], ncv, &ierr, (ftnlen)4, (ftnlen)1);
if (ierr == 1) {
*info = 1;
goto L9000;
}
if (msglvl > 2) {
zvout_(&debug_1.logfil, ncv, &workl[iheig], &debug_1.ndigit,
"_neupd: Eigenvalues of H--reordered", (ftnlen)35);
if (msglvl > 3) {
zmout_(&debug_1.logfil, ncv, ncv, &workl[iuptri], &ldq, &
debug_1.ndigit, "_neupd: Triangular matrix after"
" re-ordering", (ftnlen)43);
}
}
}
/* %---------------------------------------------% */
/* | Copy the last row of the Schur basis matrix | */
/* | to workl(ihbds). This vector will be used | */
/* | to compute the Ritz estimates of converged | */
/* | Ritz values. | */
/* %---------------------------------------------% */
zcopy_(ncv, &workl[invsub + *ncv - 1], &ldq, &workl[ihbds], &c__1);
/* %--------------------------------------------% */
/* | Place the computed eigenvalues of H into D | */
/* | if a spectral transformation was not used. | */
/* %--------------------------------------------% */
if (s_cmp(type__, "REGULR", (ftnlen)6, (ftnlen)6) == 0) {
zcopy_(&nconv, &workl[iheig], &c__1, &d__[1], &c__1);
}
/* %----------------------------------------------------------% */
/* | Compute the QR factorization of the matrix representing | */
/* | the wanted invariant subspace located in the first NCONV | */
/* | columns of workl(invsub,ldq). | */
/* %----------------------------------------------------------% */
zgeqr2_(ncv, &nconv, &workl[invsub], &ldq, &workev[1], &workev[*ncv +
1], &ierr);
/* %--------------------------------------------------------% */
/* | * Postmultiply V by Q using zunm2r. | */
/* | * Copy the first NCONV columns of VQ into Z. | */
/* | * Postmultiply Z by R. | */
/* | The N by NCONV matrix Z is now a matrix representation | */
/* | of the approximate invariant subspace associated with | */
/* | the Ritz values in workl(iheig). The first NCONV | */
/* | columns of V are now approximate Schur vectors | */
/* | associated with the upper triangular matrix of order | */
/* | NCONV in workl(iuptri). | */
/* %--------------------------------------------------------% */
zunm2r_("Right", "Notranspose", n, ncv, &nconv, &workl[invsub], &ldq,
&workev[1], &v[v_offset], ldv, &workd[*n + 1], &ierr, (ftnlen)
5, (ftnlen)11);
zlacpy_("All", n, &nconv, &v[v_offset], ldv, &z__[z_offset], ldz, (
ftnlen)3);
i__1 = nconv;
for (j = 1; j <= i__1; ++j) {
/* %---------------------------------------------------% */
/* | Perform both a column and row scaling if the | */
/* | diagonal element of workl(invsub,ldq) is negative | */
/* | I'm lazy and don't take advantage of the upper | */
/* | triangular form of workl(iuptri,ldq). | */
/* | Note that since Q is orthogonal, R is a diagonal | */
/* | matrix consisting of plus or minus ones. | */
/* %---------------------------------------------------% */
i__2 = invsub + (j - 1) * ldq + j - 1;
if (workl[i__2].r < 0.) {
z__1.r = -1., z__1.i = -0.;
zscal_(&nconv, &z__1, &workl[iuptri + j - 1], &ldq);
z__1.r = -1., z__1.i = -0.;
zscal_(&nconv, &z__1, &workl[iuptri + (j - 1) * ldq], &c__1);
}
/* L20: */
}
if (*(unsigned char *)howmny == 'A') {
/* %--------------------------------------------% */
/* | Compute the NCONV wanted eigenvectors of T | */
/* | located in workl(iuptri,ldq). | */
/* %--------------------------------------------% */
i__1 = *ncv;
for (j = 1; j <= i__1; ++j) {
if (j <= nconv) {
select[j] = TRUE_;
} else {
select[j] = FALSE_;
}
/* L30: */
}
ztrevc_("Right", "Select", &select[1], ncv, &workl[iuptri], &ldq,
vl, &c__1, &workl[invsub], &ldq, ncv, &outncv, &workev[1],
&rwork[1], &ierr, (ftnlen)5, (ftnlen)6);
if (ierr != 0) {
*info = -9;
goto L9000;
}
/* %------------------------------------------------% */
/* | Scale the returning eigenvectors so that their | */
/* | Euclidean norms are all one. LAPACK subroutine | */
/* | ztrevc returns each eigenvector normalized so | */
/* | that the element of largest magnitude has | */
/* | magnitude 1. | */
/* %------------------------------------------------% */
i__1 = nconv;
for (j = 1; j <= i__1; ++j) {
rtemp = dznrm2_(ncv, &workl[invsub + (j - 1) * ldq], &c__1);
rtemp = 1. / rtemp;
zdscal_(ncv, &rtemp, &workl[invsub + (j - 1) * ldq], &c__1);
/* %------------------------------------------% */
/* | Ritz estimates can be obtained by taking | */
/* | the inner product of the last row of the | */
/* | Schur basis of H with eigenvectors of T. | */
/* | Note that the eigenvector matrix of T is | */
/* | upper triangular, thus the length of the | */
/* | inner product can be set to j. | */
/* %------------------------------------------% */
i__2 = j;
zdotc_(&z__1, &j, &workl[ihbds], &c__1, &workl[invsub + (j -
1) * ldq], &c__1);
workev[i__2].r = z__1.r, workev[i__2].i = z__1.i;
/* L40: */
}
if (msglvl > 2) {
zcopy_(&nconv, &workl[invsub + *ncv - 1], &ldq, &workl[ihbds],
&c__1);
zvout_(&debug_1.logfil, &nconv, &workl[ihbds], &
debug_1.ndigit, "_neupd: Last row of the eigenvector"
" matrix for T", (ftnlen)48);
if (msglvl > 3) {
zmout_(&debug_1.logfil, ncv, ncv, &workl[invsub], &ldq, &
debug_1.ndigit, "_neupd: The eigenvector matrix "
"for T", (ftnlen)36);
}
}
/* %---------------------------------------% */
/* | Copy Ritz estimates into workl(ihbds) | */
/* %---------------------------------------% */
zcopy_(&nconv, &workev[1], &c__1, &workl[ihbds], &c__1);
/* %----------------------------------------------% */
/* | The eigenvector matrix Q of T is triangular. | */
/* | Form Z*Q. | */
/* %----------------------------------------------% */
ztrmm_("Right", "Upper", "No transpose", "Non-unit", n, &nconv, &
c_b1, &workl[invsub], &ldq, &z__[z_offset], ldz, (ftnlen)
5, (ftnlen)5, (ftnlen)12, (ftnlen)8);
}
} else {
/* %--------------------------------------------------% */
/* | An approximate invariant subspace is not needed. | */
/* | Place the Ritz values computed ZNAUPD into D. | */
/* %--------------------------------------------------% */
zcopy_(&nconv, &workl[ritz], &c__1, &d__[1], &c__1);
zcopy_(&nconv, &workl[ritz], &c__1, &workl[iheig], &c__1);
zcopy_(&nconv, &workl[bounds], &c__1, &workl[ihbds], &c__1);
}
/* %------------------------------------------------% */
/* | Transform the Ritz values and possibly vectors | */
/* | and corresponding error bounds of OP to those | */
/* | of A*x = lambda*B*x. | */
/* %------------------------------------------------% */
if (s_cmp(type__, "REGULR", (ftnlen)6, (ftnlen)6) == 0) {
if (*rvec) {
zscal_(ncv, &rnorm, &workl[ihbds], &c__1);
}
} else {
/* %---------------------------------------% */
/* | A spectral transformation was used. | */
/* | * Determine the Ritz estimates of the | */
/* | Ritz values in the original system. | */
/* %---------------------------------------% */
if (*rvec) {
zscal_(ncv, &rnorm, &workl[ihbds], &c__1);
}
i__1 = *ncv;
for (k = 1; k <= i__1; ++k) {
i__2 = iheig + k - 1;
temp.r = workl[i__2].r, temp.i = workl[i__2].i;
i__2 = ihbds + k - 1;
z_div(&z__2, &workl[ihbds + k - 1], &temp);
z_div(&z__1, &z__2, &temp);
workl[i__2].r = z__1.r, workl[i__2].i = z__1.i;
/* L50: */
}
}
/* %-----------------------------------------------------------% */
/* | * Transform the Ritz values back to the original system. | */
/* | For TYPE = 'SHIFTI' the transformation is | */
/* | lambda = 1/theta + sigma | */
/* | NOTES: | */
/* | *The Ritz vectors are not affected by the transformation. | */
/* %-----------------------------------------------------------% */
if (s_cmp(type__, "SHIFTI", (ftnlen)6, (ftnlen)6) == 0) {
i__1 = nconv;
for (k = 1; k <= i__1; ++k) {
i__2 = k;
z_div(&z__2, &c_b1, &workl[iheig + k - 1]);
z__1.r = z__2.r + sigma->r, z__1.i = z__2.i + sigma->i;
d__[i__2].r = z__1.r, d__[i__2].i = z__1.i;
/* L60: */
}
}
if (s_cmp(type__, "REGULR", (ftnlen)6, (ftnlen)6) != 0 && msglvl > 1) {
zvout_(&debug_1.logfil, &nconv, &d__[1], &debug_1.ndigit, "_neupd: U"
"ntransformed Ritz values.", (ftnlen)34);
zvout_(&debug_1.logfil, &nconv, &workl[ihbds], &debug_1.ndigit, "_ne"
"upd: Ritz estimates of the untransformed Ritz values.", (
ftnlen)56);
} else if (msglvl > 1) {
zvout_(&debug_1.logfil, &nconv, &d__[1], &debug_1.ndigit, "_neupd: C"
"onverged Ritz values.", (ftnlen)30);
zvout_(&debug_1.logfil, &nconv, &workl[ihbds], &debug_1.ndigit, "_ne"
"upd: Associated Ritz estimates.", (ftnlen)34);
}
/* %-------------------------------------------------% */
/* | Eigenvector Purification step. Formally perform | */
/* | one of inverse subspace iteration. Only used | */
/* | for MODE = 3. See reference 3. | */
/* %-------------------------------------------------% */
if (*rvec && *(unsigned char *)howmny == 'A' && s_cmp(type__, "SHIFTI", (
ftnlen)6, (ftnlen)6) == 0) {
/* %------------------------------------------------% */
/* | Purify the computed Ritz vectors by adding a | */
/* | little bit of the residual vector: | */
/* | T | */
/* | resid(:)*( e s ) / theta | */
/* | NCV | */
/* | where H s = s theta. | */
/* %------------------------------------------------% */
i__1 = nconv;
for (j = 1; j <= i__1; ++j) {
i__2 = iheig + j - 1;
if (workl[i__2].r != 0. || workl[i__2].i != 0.) {
i__2 = j;
z_div(&z__1, &workl[invsub + (j - 1) * ldq + *ncv - 1], &
workl[iheig + j - 1]);
workev[i__2].r = z__1.r, workev[i__2].i = z__1.i;
}
/* L100: */
}
/* %---------------------------------------% */
/* | Perform a rank one update to Z and | */
/* | purify all the Ritz vectors together. | */
/* %---------------------------------------% */
zgeru_(n, &nconv, &c_b1, &resid[1], &c__1, &workev[1], &c__1, &z__[
z_offset], ldz);
}
L9000:
return 0;
/* %---------------% */
/* | End of zneupd| */
/* %---------------% */
} /* zneupd_ */
/* Subroutine */ int zdrgev_(integer *nsizes, integer *nn, integer *ntypes,
logical *dotype, integer *iseed, doublereal *thresh, integer *nounit,
doublecomplex *a, integer *lda, doublecomplex *b, doublecomplex *s,
doublecomplex *t, doublecomplex *q, integer *ldq, doublecomplex *z__,
doublecomplex *qe, integer *ldqe, doublecomplex *alpha, doublecomplex
*beta, doublecomplex *alpha1, doublecomplex *beta1, doublecomplex *
work, integer *lwork, doublereal *rwork, doublereal *result, integer *
info)
{
/* Initialized data */
static integer kclass[26] = { 1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,
2,2,2,3 };
static integer kbmagn[26] = { 1,1,1,1,1,1,1,1,3,2,3,2,2,3,1,1,1,1,1,1,1,3,
2,3,2,1 };
static integer ktrian[26] = { 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,
1,1,1,1 };
static logical lasign[26] = { FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
TRUE_,FALSE_,TRUE_,TRUE_,FALSE_,FALSE_,TRUE_,TRUE_,TRUE_,FALSE_,
TRUE_,FALSE_,FALSE_,FALSE_,TRUE_,TRUE_,TRUE_,TRUE_,TRUE_,FALSE_ };
static logical lbsign[26] = { FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
FALSE_,TRUE_,FALSE_,FALSE_,TRUE_,TRUE_,FALSE_,FALSE_,TRUE_,FALSE_,
TRUE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,FALSE_,
FALSE_ };
static integer kz1[6] = { 0,1,2,1,3,3 };
static integer kz2[6] = { 0,0,1,2,1,1 };
static integer kadd[6] = { 0,0,0,0,3,2 };
static integer katype[26] = { 0,1,0,1,2,3,4,1,4,4,1,1,4,4,4,2,4,5,8,7,9,4,
4,4,4,0 };
static integer kbtype[26] = { 0,0,1,1,2,-3,1,4,1,1,4,4,1,1,-4,2,-4,8,8,8,
8,8,8,8,8,0 };
static integer kazero[26] = { 1,1,1,1,1,1,2,1,2,2,1,1,2,2,3,1,3,5,5,5,5,3,
3,3,3,1 };
static integer kbzero[26] = { 1,1,1,1,1,1,1,2,1,1,2,2,1,1,4,1,4,6,6,6,6,4,
4,4,4,1 };
static integer kamagn[26] = { 1,1,1,1,1,1,1,1,2,3,2,3,2,3,1,1,1,1,1,1,1,2,
3,3,2,1 };
/* Format strings */
static char fmt_9999[] = "(\002 ZDRGEV: \002,a,\002 returned INFO=\002,i"
"6,\002.\002,/3x,\002N=\002,i6,\002, JTYPE=\002,i6,\002, ISEED="
"(\002,3(i5,\002,\002),i5,\002)\002)";
static char fmt_9998[] = "(\002 ZDRGEV: \002,a,\002 Eigenvectors from"
" \002,a,\002 incorrectly \002,\002normalized.\002,/\002 Bits of "
"error=\002,0p,g10.3,\002,\002,3x,\002N=\002,i4,\002, JTYPE=\002,"
"i3,\002, ISEED=(\002,3(i4,\002,\002),i5,\002)\002)";
static char fmt_9997[] = "(/1x,a3,\002 -- Complex Generalized eigenvalue"
" problem \002,\002driver\002)";
static char fmt_9996[] = "(\002 Matrix types (see ZDRGEV for details):"
" \002)";
static char fmt_9995[] = "(\002 Special Matrices:\002,23x,\002(J'=transp"
"osed Jordan block)\002,/\002 1=(0,0) 2=(I,0) 3=(0,I) 4=(I,I"
") 5=(J',J') \002,\0026=(diag(J',I), diag(I,J'))\002,/\002 Diag"
"onal Matrices: ( \002,\002D=diag(0,1,2,...) )\002,/\002 7=(D,"
"I) 9=(large*D, small*I\002,\002) 11=(large*I, small*D) 13=(l"
"arge*D, large*I)\002,/\002 8=(I,D) 10=(small*D, large*I) 12="
"(small*I, large*D) \002,\002 14=(small*D, small*I)\002,/\002 15"
"=(D, reversed D)\002)";
static char fmt_9994[] = "(\002 Matrices Rotated by Random \002,a,\002 M"
"atrices U, V:\002,/\002 16=Transposed Jordan Blocks "
" 19=geometric \002,\002alpha, beta=0,1\002,/\002 17=arithm. alp"
"ha&beta \002,\002 20=arithmetic alpha, beta=0,"
"1\002,/\002 18=clustered \002,\002alpha, beta=0,1 21"
"=random alpha, beta=0,1\002,/\002 Large & Small Matrices:\002,"
"/\002 22=(large, small) \002,\00223=(small,large) 24=(smal"
"l,small) 25=(large,large)\002,/\002 26=random O(1) matrices"
".\002)";
static char fmt_9993[] = "(/\002 Tests performed: \002,/\002 1 = max "
"| ( b A - a B )'*l | / const.,\002,/\002 2 = | |VR(i)| - 1 | / u"
"lp,\002,/\002 3 = max | ( b A - a B )*r | / const.\002,/\002 4 ="
" | |VL(i)| - 1 | / ulp,\002,/\002 5 = 0 if W same no matter if r"
" or l computed,\002,/\002 6 = 0 if l same no matter if l compute"
"d,\002,/\002 7 = 0 if r same no matter if r computed,\002,/1x)";
static char fmt_9992[] = "(\002 Matrix order=\002,i5,\002, type=\002,i2"
",\002, seed=\002,4(i4,\002,\002),\002 result \002,i2,\002 is\002"
",0p,f8.2)";
static char fmt_9991[] = "(\002 Matrix order=\002,i5,\002, type=\002,i2"
",\002, seed=\002,4(i4,\002,\002),\002 result \002,i2,\002 is\002"
",1p,d10.3)";
/* System generated locals */
integer a_dim1, a_offset, b_dim1, b_offset, q_dim1, q_offset, qe_dim1,
qe_offset, s_dim1, s_offset, t_dim1, t_offset, z_dim1, z_offset,
i__1, i__2, i__3, i__4, i__5, i__6, i__7;
doublereal d__1, d__2;
doublecomplex z__1, z__2, z__3;
/* Builtin functions */
double d_sign(doublereal *, doublereal *), z_abs(doublecomplex *);
void d_cnjg(doublecomplex *, doublecomplex *);
integer s_wsfe(cilist *), do_fio(integer *, char *, ftnlen), e_wsfe(void);
/* Local variables */
static integer iadd, ierr, nmax, i__, j, n;
static logical badnn;
static doublereal rmagn[4];
static doublecomplex ctemp;
extern /* Subroutine */ int zget52_(logical *, integer *, doublecomplex *,
integer *, doublecomplex *, integer *, doublecomplex *, integer *
, doublecomplex *, doublecomplex *, doublecomplex *, doublereal *,
doublereal *);
static integer nmats, jsize;
extern /* Subroutine */ int zggev_(char *, char *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublecomplex *, doublecomplex *, doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublereal *, integer *);
static integer nerrs, jtype, n1;
extern /* Subroutine */ int dlabad_(doublereal *, doublereal *), zlatm4_(
integer *, integer *, integer *, integer *, logical *, doublereal
*, doublereal *, doublereal *, integer *, integer *,
doublecomplex *, integer *);
static integer jc, nb, in;
extern doublereal dlamch_(char *);
static integer jr;
extern /* Subroutine */ int zunm2r_(char *, char *, integer *, integer *,
integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *);
static doublereal safmin, safmax;
static integer ioldsd[4];
extern integer ilaenv_(integer *, char *, char *, integer *, integer *,
integer *, integer *, ftnlen, ftnlen);
extern /* Subroutine */ int alasvm_(char *, integer *, integer *, integer
*, integer *), xerbla_(char *, integer *),
zlarfg_(integer *, doublecomplex *, doublecomplex *, integer *,
doublecomplex *);
extern /* Double Complex */ VOID zlarnd_(doublecomplex *, integer *,
integer *);
extern /* Subroutine */ int zlacpy_(char *, integer *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *),
zlaset_(char *, integer *, integer *, doublecomplex *,
doublecomplex *, doublecomplex *, integer *);
static integer minwrk, maxwrk;
static doublereal ulpinv;
static integer mtypes, ntestt;
static doublereal ulp;
/* Fortran I/O blocks */
static cilist io___40 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___42 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___43 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___44 = { 0, 0, 0, fmt_9998, 0 };
static cilist io___45 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___46 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___47 = { 0, 0, 0, fmt_9999, 0 };
static cilist io___48 = { 0, 0, 0, fmt_9997, 0 };
static cilist io___49 = { 0, 0, 0, fmt_9996, 0 };
static cilist io___50 = { 0, 0, 0, fmt_9995, 0 };
static cilist io___51 = { 0, 0, 0, fmt_9994, 0 };
static cilist io___52 = { 0, 0, 0, fmt_9993, 0 };
static cilist io___53 = { 0, 0, 0, fmt_9992, 0 };
static cilist io___54 = { 0, 0, 0, fmt_9991, 0 };
#define a_subscr(a_1,a_2) (a_2)*a_dim1 + a_1
#define a_ref(a_1,a_2) a[a_subscr(a_1,a_2)]
#define b_subscr(a_1,a_2) (a_2)*b_dim1 + a_1
#define b_ref(a_1,a_2) b[b_subscr(a_1,a_2)]
#define q_subscr(a_1,a_2) (a_2)*q_dim1 + a_1
#define q_ref(a_1,a_2) q[q_subscr(a_1,a_2)]
#define z___subscr(a_1,a_2) (a_2)*z_dim1 + a_1
#define z___ref(a_1,a_2) z__[z___subscr(a_1,a_2)]
#define qe_subscr(a_1,a_2) (a_2)*qe_dim1 + a_1
#define qe_ref(a_1,a_2) qe[qe_subscr(a_1,a_2)]
/* -- LAPACK test routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
June 30, 1999
Purpose
=======
ZDRGEV checks the nonsymmetric generalized eigenvalue problem driver
routine ZGGEV.
ZGGEV computes for a pair of n-by-n nonsymmetric matrices (A,B) the
generalized eigenvalues and, optionally, the left and right
eigenvectors.
A generalized eigenvalue for a pair of matrices (A,B) is a scalar w
or a ratio alpha/beta = w, such that A - w*B is singular. It is
usually represented as the pair (alpha,beta), as there is reasonalbe
interpretation for beta=0, and even for both being zero.
A right generalized eigenvector corresponding to a generalized
eigenvalue w for a pair of matrices (A,B) is a vector r such that
(A - wB) * r = 0. A left generalized eigenvector is a vector l such
that l**H * (A - wB) = 0, where l**H is the conjugate-transpose of l.
When ZDRGEV 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, a pair of matrices (A, B) will be generated
and used for testing. For each matrix pair, the following tests
will be performed and compared with the threshhold THRESH.
Results from ZGGEV:
(1) max over all left eigenvalue/-vector pairs (alpha/beta,l) of
| VL**H * (beta A - alpha B) |/( ulp max(|beta A|, |alpha B|) )
where VL**H is the conjugate-transpose of VL.
(2) | |VL(i)| - 1 | / ulp and whether largest component real
VL(i) denotes the i-th column of VL.
(3) max over all left eigenvalue/-vector pairs (alpha/beta,r) of
| (beta A - alpha B) * VR | / ( ulp max(|beta A|, |alpha B|) )
(4) | |VR(i)| - 1 | / ulp and whether largest component real
VR(i) denotes the i-th column of VR.
(5) W(full) = W(partial)
W(full) denotes the eigenvalues computed when both l and r
are also computed, and W(partial) denotes the eigenvalues
computed when only W, only W and r, or only W and l are
computed.
(6) VL(full) = VL(partial)
VL(full) denotes the left eigenvectors computed when both l
and r are computed, and VL(partial) denotes the result
when only l is computed.
(7) VR(full) = VR(partial)
VR(full) denotes the right eigenvectors computed when both l
and r are also computed, and VR(partial) denotes the result
when only l is computed.
Test Matrices
---- --------
The sizes of the test matrices 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) ( 0, 0 ) (a pair of zero matrices)
(2) ( I, 0 ) (an identity and a zero matrix)
(3) ( 0, I ) (an identity and a zero matrix)
(4) ( I, I ) (a pair of identity matrices)
t t
(5) ( J , J ) (a pair of transposed Jordan blocks)
t ( I 0 )
(6) ( X, Y ) where X = ( J 0 ) and Y = ( t )
( 0 I ) ( 0 J )
and I is a k x k identity and J a (k+1)x(k+1)
Jordan block; k=(N-1)/2
(7) ( D, I ) where D is diag( 0, 1,..., N-1 ) (a diagonal
matrix with those diagonal entries.)
(8) ( I, D )
(9) ( big*D, small*I ) where "big" is near overflow and small=1/big
(10) ( small*D, big*I )
(11) ( big*I, small*D )
(12) ( small*I, big*D )
(13) ( big*D, big*I )
(14) ( small*D, small*I )
(15) ( D1, D2 ) where D1 is diag( 0, 0, 1, ..., N-3, 0 ) and
D2 is diag( 0, N-3, N-4,..., 1, 0, 0 )
t t
(16) Q ( J , J ) Z where Q and Z are random orthogonal matrices.
(17) Q ( T1, T2 ) Z where T1 and T2 are upper triangular matrices
with random O(1) entries above the diagonal
and diagonal entries diag(T1) =
( 0, 0, 1, ..., N-3, 0 ) and diag(T2) =
( 0, N-3, N-4,..., 1, 0, 0 )
(18) Q ( T1, T2 ) Z diag(T1) = ( 0, 0, 1, 1, s, ..., s, 0 )
diag(T2) = ( 0, 1, 0, 1,..., 1, 0 )
s = machine precision.
(19) Q ( T1, T2 ) Z diag(T1)=( 0,0,1,1, 1-d, ..., 1-(N-5)*d=s, 0 )
diag(T2) = ( 0, 1, 0, 1, ..., 1, 0 )
N-5
(20) Q ( T1, T2 ) Z diag(T1)=( 0, 0, 1, 1, a, ..., a =s, 0 )
diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 )
(21) Q ( T1, T2 ) Z diag(T1)=( 0, 0, 1, r1, r2, ..., r(N-4), 0 )
diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 )
where r1,..., r(N-4) are random.
(22) Q ( big*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 )
diag(T2) = ( 0, 1, ..., 1, 0, 0 )
(23) Q ( small*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 )
diag(T2) = ( 0, 1, ..., 1, 0, 0 )
(24) Q ( small*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 )
diag(T2) = ( 0, 1, ..., 1, 0, 0 )
(25) Q ( big*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N-3, 0 )
diag(T2) = ( 0, 1, ..., 1, 0, 0 )
(26) Q ( T1, T2 ) Z where T1 and T2 are random upper-triangular
matrices.
Arguments
=========
NSIZES (input) INTEGER
The number of sizes of matrices to use. If it is zero,
ZDRGES does nothing. NSIZES >= 0.
NN (input) INTEGER array, dimension (NSIZES)
An array containing the sizes to be used for the matrices.
Zero values will be skipped. NN >= 0.
NTYPES (input) INTEGER
The number of elements in DOTYPE. If it is zero, ZDRGEV
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 ZDRGES 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 IERR not equal to 0.)
A (input/workspace) COMPLEX*16 array, dimension(LDA, max(NN))
Used to hold the original A matrix. Used as input only
if NTYPES=MAXTYP+1, DOTYPE(1:MAXTYP)=.FALSE., and
DOTYPE(MAXTYP+1)=.TRUE.
LDA (input) INTEGER
The leading dimension of A, B, S, and T.
It must be at least 1 and at least max( NN ).
B (input/workspace) COMPLEX*16 array, dimension(LDA, max(NN))
Used to hold the original B matrix. Used as input only
if NTYPES=MAXTYP+1, DOTYPE(1:MAXTYP)=.FALSE., and
DOTYPE(MAXTYP+1)=.TRUE.
S (workspace) COMPLEX*16 array, dimension (LDA, max(NN))
The Schur form matrix computed from A by ZGGEV. On exit, S
contains the Schur form matrix corresponding to the matrix
in A.
T (workspace) COMPLEX*16 array, dimension (LDA, max(NN))
The upper triangular matrix computed from B by ZGGEV.
Q (workspace) COMPLEX*16 array, dimension (LDQ, max(NN))
The (left) eigenvectors matrix computed by ZGGEV.
LDQ (input) INTEGER
The leading dimension of Q and Z. It must
be at least 1 and at least max( NN ).
Z (workspace) COMPLEX*16 array, dimension( LDQ, max(NN) )
The (right) orthogonal matrix computed by ZGGEV.
QE (workspace) COMPLEX*16 array, dimension( LDQ, max(NN) )
QE holds the computed right or left eigenvectors.
LDQE (input) INTEGER
The leading dimension of QE. LDQE >= max(1,max(NN)).
ALPHA (workspace) COMPLEX*16 array, dimension (max(NN))
BETA (workspace) COMPLEX*16 array, dimension (max(NN))
The generalized eigenvalues of (A,B) computed by ZGGEV.
( ALPHAR(k)+ALPHAI(k)*i ) / BETA(k) is the k-th
generalized eigenvalue of A and B.
ALPHA1 (workspace) COMPLEX*16 array, dimension (max(NN))
BETA1 (workspace) COMPLEX*16 array, dimension (max(NN))
Like ALPHAR, ALPHAI, BETA, these arrays contain the
eigenvalues of A and B, but those computed when ZGGEV only
computes a partial eigendecomposition, i.e. not the
eigenvalues and left and right eigenvectors.
WORK (workspace) COMPLEX*16 array, dimension (LWORK)
LWORK (input) INTEGER
The number of entries in WORK. LWORK >= N*(N+1)
RWORK (workspace) DOUBLE PRECISION array, dimension (8*N)
Real workspace.
RESULT (output) DOUBLE PRECISION array, dimension (2)
The values computed by the tests described above.
The values are currently limited to 1/ulp, to avoid overflow.
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value.
> 0: A routine returned an error code. INFO is the
absolute value of the INFO value returned.
=====================================================================
Parameter adjustments */
--nn;
--dotype;
--iseed;
t_dim1 = *lda;
t_offset = 1 + t_dim1 * 1;
t -= t_offset;
s_dim1 = *lda;
s_offset = 1 + s_dim1 * 1;
s -= s_offset;
b_dim1 = *lda;
b_offset = 1 + b_dim1 * 1;
b -= b_offset;
a_dim1 = *lda;
a_offset = 1 + a_dim1 * 1;
a -= a_offset;
z_dim1 = *ldq;
z_offset = 1 + z_dim1 * 1;
z__ -= z_offset;
q_dim1 = *ldq;
q_offset = 1 + q_dim1 * 1;
q -= q_offset;
qe_dim1 = *ldqe;
qe_offset = 1 + qe_dim1 * 1;
qe -= qe_offset;
--alpha;
--beta;
--alpha1;
--beta1;
--work;
--rwork;
--result;
/* Function Body
Check for errors */
*info = 0;
badnn = FALSE_;
nmax = 1;
i__1 = *nsizes;
for (j = 1; j <= i__1; ++j) {
/* Computing MAX */
i__2 = nmax, i__3 = nn[j];
nmax = max(i__2,i__3);
if (nn[j] < 0) {
badnn = TRUE_;
}
/* L10: */
}
if (*nsizes < 0) {
*info = -1;
} else if (badnn) {
*info = -2;
} else if (*ntypes < 0) {
*info = -3;
} else if (*thresh < 0.) {
*info = -6;
} else if (*lda <= 1 || *lda < nmax) {
*info = -9;
} else if (*ldq <= 1 || *ldq < nmax) {
*info = -14;
} else if (*ldqe <= 1 || *ldqe < nmax) {
*info = -17;
}
/* Compute workspace
(Note: Comments in the code beginning "Workspace:" describe the
minimal amount of workspace needed at that point in the code,
as well as the preferred amount for good performance.
NB refers to the optimal block size for the immediately
following subroutine, as returned by ILAENV. */
minwrk = 1;
if (*info == 0 && *lwork >= 1) {
minwrk = nmax * (nmax + 1);
/* Computing MAX */
i__1 = 1, i__2 = ilaenv_(&c__1, "ZGEQRF", " ", &nmax, &nmax, &c_n1, &
c_n1, (ftnlen)6, (ftnlen)1), i__1 = max(i__1,i__2), i__2 =
ilaenv_(&c__1, "ZUNMQR", "LC", &nmax, &nmax, &nmax, &c_n1, (
ftnlen)6, (ftnlen)2), i__1 = max(i__1,i__2), i__2 = ilaenv_(&
c__1, "ZUNGQR", " ", &nmax, &nmax, &nmax, &c_n1, (ftnlen)6, (
ftnlen)1);
nb = max(i__1,i__2);
/* Computing MAX */
i__1 = nmax << 1, i__2 = nmax * (nb + 1), i__1 = max(i__1,i__2), i__2
= nmax * (nmax + 1);
maxwrk = max(i__1,i__2);
work[1].r = (doublereal) maxwrk, work[1].i = 0.;
}
if (*lwork < minwrk) {
*info = -23;
}
if (*info != 0) {
i__1 = -(*info);
xerbla_("ZDRGEV", &i__1);
return 0;
}
/* Quick return if possible */
if (*nsizes == 0 || *ntypes == 0) {
return 0;
}
ulp = dlamch_("Precision");
safmin = dlamch_("Safe minimum");
safmin /= ulp;
safmax = 1. / safmin;
dlabad_(&safmin, &safmax);
ulpinv = 1. / ulp;
/* The values RMAGN(2:3) depend on N, see below. */
rmagn[0] = 0.;
rmagn[1] = 1.;
/* Loop over sizes, types */
ntestt = 0;
nerrs = 0;
nmats = 0;
i__1 = *nsizes;
for (jsize = 1; jsize <= i__1; ++jsize) {
n = nn[jsize];
n1 = max(1,n);
rmagn[2] = safmax * ulp / (doublereal) n1;
rmagn[3] = safmin * ulpinv * n1;
if (*nsizes != 1) {
mtypes = min(26,*ntypes);
} else {
mtypes = min(27,*ntypes);
}
i__2 = mtypes;
for (jtype = 1; jtype <= i__2; ++jtype) {
if (! dotype[jtype]) {
goto L210;
}
++nmats;
/* Save ISEED in case of an error. */
for (j = 1; j <= 4; ++j) {
ioldsd[j - 1] = iseed[j];
/* L20: */
}
/* Generate test matrices A and B
Description of control parameters:
KZLASS: =1 means w/o rotation, =2 means w/ rotation,
=3 means random.
KATYPE: the "type" to be passed to ZLATM4 for computing A.
KAZERO: the pattern of zeros on the diagonal for A:
=1: ( xxx ), =2: (0, xxx ) =3: ( 0, 0, xxx, 0 ),
=4: ( 0, xxx, 0, 0 ), =5: ( 0, 0, 1, xxx, 0 ),
=6: ( 0, 1, 0, xxx, 0 ). (xxx means a string of
non-zero entries.)
KAMAGN: the magnitude of the matrix: =0: zero, =1: O(1),
=2: large, =3: small.
LASIGN: .TRUE. if the diagonal elements of A are to be
multiplied by a random magnitude 1 number.
KBTYPE, KBZERO, KBMAGN, LBSIGN: the same, but for B.
KTRIAN: =0: don't fill in the upper triangle, =1: do.
KZ1, KZ2, KADD: used to implement KAZERO and KBZERO.
RMAGN: used to implement KAMAGN and KBMAGN. */
if (mtypes > 26) {
goto L100;
}
ierr = 0;
if (kclass[jtype - 1] < 3) {
/* Generate A (w/o rotation) */
if ((i__3 = katype[jtype - 1], abs(i__3)) == 3) {
in = ((n - 1) / 2 << 1) + 1;
if (in != n) {
zlaset_("Full", &n, &n, &c_b1, &c_b1, &a[a_offset],
lda);
}
} else {
in = n;
}
zlatm4_(&katype[jtype - 1], &in, &kz1[kazero[jtype - 1] - 1],
&kz2[kazero[jtype - 1] - 1], &lasign[jtype - 1], &
rmagn[kamagn[jtype - 1]], &ulp, &rmagn[ktrian[jtype -
1] * kamagn[jtype - 1]], &c__2, &iseed[1], &a[
a_offset], lda);
iadd = kadd[kazero[jtype - 1] - 1];
if (iadd > 0 && iadd <= n) {
i__3 = a_subscr(iadd, iadd);
i__4 = kamagn[jtype - 1];
a[i__3].r = rmagn[i__4], a[i__3].i = 0.;
}
/* Generate B (w/o rotation) */
if ((i__3 = kbtype[jtype - 1], abs(i__3)) == 3) {
in = ((n - 1) / 2 << 1) + 1;
if (in != n) {
zlaset_("Full", &n, &n, &c_b1, &c_b1, &b[b_offset],
lda);
}
} else {
in = n;
}
zlatm4_(&kbtype[jtype - 1], &in, &kz1[kbzero[jtype - 1] - 1],
&kz2[kbzero[jtype - 1] - 1], &lbsign[jtype - 1], &
rmagn[kbmagn[jtype - 1]], &c_b28, &rmagn[ktrian[jtype
- 1] * kbmagn[jtype - 1]], &c__2, &iseed[1], &b[
b_offset], lda);
iadd = kadd[kbzero[jtype - 1] - 1];
if (iadd != 0 && iadd <= n) {
i__3 = b_subscr(iadd, iadd);
i__4 = kbmagn[jtype - 1];
b[i__3].r = rmagn[i__4], b[i__3].i = 0.;
}
if (kclass[jtype - 1] == 2 && n > 0) {
/* Include rotations
Generate Q, Z as Householder transformations times
a diagonal matrix. */
i__3 = n - 1;
for (jc = 1; jc <= i__3; ++jc) {
i__4 = n;
for (jr = jc; jr <= i__4; ++jr) {
i__5 = q_subscr(jr, jc);
zlarnd_(&z__1, &c__3, &iseed[1]);
q[i__5].r = z__1.r, q[i__5].i = z__1.i;
i__5 = z___subscr(jr, jc);
zlarnd_(&z__1, &c__3, &iseed[1]);
z__[i__5].r = z__1.r, z__[i__5].i = z__1.i;
/* L30: */
}
i__4 = n + 1 - jc;
zlarfg_(&i__4, &q_ref(jc, jc), &q_ref(jc + 1, jc), &
c__1, &work[jc]);
i__4 = (n << 1) + jc;
i__5 = q_subscr(jc, jc);
d__2 = q[i__5].r;
d__1 = d_sign(&c_b28, &d__2);
work[i__4].r = d__1, work[i__4].i = 0.;
i__4 = q_subscr(jc, jc);
q[i__4].r = 1., q[i__4].i = 0.;
i__4 = n + 1 - jc;
zlarfg_(&i__4, &z___ref(jc, jc), &z___ref(jc + 1, jc),
&c__1, &work[n + jc]);
i__4 = n * 3 + jc;
i__5 = z___subscr(jc, jc);
d__2 = z__[i__5].r;
d__1 = d_sign(&c_b28, &d__2);
work[i__4].r = d__1, work[i__4].i = 0.;
i__4 = z___subscr(jc, jc);
z__[i__4].r = 1., z__[i__4].i = 0.;
/* L40: */
}
zlarnd_(&z__1, &c__3, &iseed[1]);
ctemp.r = z__1.r, ctemp.i = z__1.i;
i__3 = q_subscr(n, n);
q[i__3].r = 1., q[i__3].i = 0.;
i__3 = n;
work[i__3].r = 0., work[i__3].i = 0.;
i__3 = n * 3;
d__1 = z_abs(&ctemp);
z__1.r = ctemp.r / d__1, z__1.i = ctemp.i / d__1;
work[i__3].r = z__1.r, work[i__3].i = z__1.i;
zlarnd_(&z__1, &c__3, &iseed[1]);
ctemp.r = z__1.r, ctemp.i = z__1.i;
i__3 = z___subscr(n, n);
z__[i__3].r = 1., z__[i__3].i = 0.;
i__3 = n << 1;
work[i__3].r = 0., work[i__3].i = 0.;
i__3 = n << 2;
d__1 = z_abs(&ctemp);
z__1.r = ctemp.r / d__1, z__1.i = ctemp.i / d__1;
work[i__3].r = z__1.r, work[i__3].i = z__1.i;
/* Apply the diagonal matrices */
i__3 = n;
for (jc = 1; jc <= i__3; ++jc) {
i__4 = n;
for (jr = 1; jr <= i__4; ++jr) {
i__5 = a_subscr(jr, jc);
i__6 = (n << 1) + jr;
d_cnjg(&z__3, &work[n * 3 + jc]);
z__2.r = work[i__6].r * z__3.r - work[i__6].i *
z__3.i, z__2.i = work[i__6].r * z__3.i +
work[i__6].i * z__3.r;
i__7 = a_subscr(jr, jc);
z__1.r = z__2.r * a[i__7].r - z__2.i * a[i__7].i,
z__1.i = z__2.r * a[i__7].i + z__2.i * a[
i__7].r;
a[i__5].r = z__1.r, a[i__5].i = z__1.i;
i__5 = b_subscr(jr, jc);
i__6 = (n << 1) + jr;
d_cnjg(&z__3, &work[n * 3 + jc]);
z__2.r = work[i__6].r * z__3.r - work[i__6].i *
z__3.i, z__2.i = work[i__6].r * z__3.i +
work[i__6].i * z__3.r;
i__7 = b_subscr(jr, jc);
z__1.r = z__2.r * b[i__7].r - z__2.i * b[i__7].i,
z__1.i = z__2.r * b[i__7].i + z__2.i * b[
i__7].r;
b[i__5].r = z__1.r, b[i__5].i = z__1.i;
/* L50: */
}
/* L60: */
}
i__3 = n - 1;
zunm2r_("L", "N", &n, &n, &i__3, &q[q_offset], ldq, &work[
1], &a[a_offset], lda, &work[(n << 1) + 1], &ierr);
if (ierr != 0) {
goto L90;
}
i__3 = n - 1;
zunm2r_("R", "C", &n, &n, &i__3, &z__[z_offset], ldq, &
work[n + 1], &a[a_offset], lda, &work[(n << 1) +
1], &ierr);
if (ierr != 0) {
goto L90;
}
i__3 = n - 1;
zunm2r_("L", "N", &n, &n, &i__3, &q[q_offset], ldq, &work[
1], &b[b_offset], lda, &work[(n << 1) + 1], &ierr);
if (ierr != 0) {
goto L90;
}
i__3 = n - 1;
zunm2r_("R", "C", &n, &n, &i__3, &z__[z_offset], ldq, &
work[n + 1], &b[b_offset], lda, &work[(n << 1) +
1], &ierr);
if (ierr != 0) {
goto L90;
}
}
} else {
/* Random matrices */
i__3 = n;
for (jc = 1; jc <= i__3; ++jc) {
i__4 = n;
for (jr = 1; jr <= i__4; ++jr) {
i__5 = a_subscr(jr, jc);
i__6 = kamagn[jtype - 1];
zlarnd_(&z__2, &c__4, &iseed[1]);
z__1.r = rmagn[i__6] * z__2.r, z__1.i = rmagn[i__6] *
z__2.i;
a[i__5].r = z__1.r, a[i__5].i = z__1.i;
i__5 = b_subscr(jr, jc);
i__6 = kbmagn[jtype - 1];
zlarnd_(&z__2, &c__4, &iseed[1]);
z__1.r = rmagn[i__6] * z__2.r, z__1.i = rmagn[i__6] *
z__2.i;
b[i__5].r = z__1.r, b[i__5].i = z__1.i;
/* L70: */
}
/* L80: */
}
}
L90:
if (ierr != 0) {
io___40.ciunit = *nounit;
s_wsfe(&io___40);
do_fio(&c__1, "Generator", (ftnlen)9);
do_fio(&c__1, (char *)&ierr, (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(ierr);
return 0;
}
L100:
for (i__ = 1; i__ <= 7; ++i__) {
result[i__] = -1.;
/* L110: */
}
/* Call ZGGEV to compute eigenvalues and eigenvectors. */
zlacpy_(" ", &n, &n, &a[a_offset], lda, &s[s_offset], lda);
zlacpy_(" ", &n, &n, &b[b_offset], lda, &t[t_offset], lda);
zggev_("V", "V", &n, &s[s_offset], lda, &t[t_offset], lda, &alpha[
1], &beta[1], &q[q_offset], ldq, &z__[z_offset], ldq, &
work[1], lwork, &rwork[1], &ierr);
if (ierr != 0 && ierr != n + 1) {
result[1] = ulpinv;
io___42.ciunit = *nounit;
s_wsfe(&io___42);
do_fio(&c__1, "ZGGEV1", (ftnlen)6);
do_fio(&c__1, (char *)&ierr, (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(ierr);
goto L190;
}
/* Do the tests (1) and (2) */
zget52_(&c_true, &n, &a[a_offset], lda, &b[b_offset], lda, &q[
q_offset], ldq, &alpha[1], &beta[1], &work[1], &rwork[1],
&result[1]);
if (result[2] > *thresh) {
io___43.ciunit = *nounit;
s_wsfe(&io___43);
do_fio(&c__1, "Left", (ftnlen)4);
do_fio(&c__1, "ZGGEV1", (ftnlen)6);
do_fio(&c__1, (char *)&result[2], (ftnlen)sizeof(doublereal));
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();
}
/* Do the tests (3) and (4) */
zget52_(&c_false, &n, &a[a_offset], lda, &b[b_offset], lda, &z__[
z_offset], ldq, &alpha[1], &beta[1], &work[1], &rwork[1],
&result[3]);
if (result[4] > *thresh) {
io___44.ciunit = *nounit;
s_wsfe(&io___44);
do_fio(&c__1, "Right", (ftnlen)5);
do_fio(&c__1, "ZGGEV1", (ftnlen)6);
do_fio(&c__1, (char *)&result[4], (ftnlen)sizeof(doublereal));
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();
}
/* Do test (5) */
zlacpy_(" ", &n, &n, &a[a_offset], lda, &s[s_offset], lda);
zlacpy_(" ", &n, &n, &b[b_offset], lda, &t[t_offset], lda);
zggev_("N", "N", &n, &s[s_offset], lda, &t[t_offset], lda, &
alpha1[1], &beta1[1], &q[q_offset], ldq, &z__[z_offset],
ldq, &work[1], lwork, &rwork[1], &ierr);
if (ierr != 0 && ierr != n + 1) {
result[1] = ulpinv;
io___45.ciunit = *nounit;
s_wsfe(&io___45);
do_fio(&c__1, "ZGGEV2", (ftnlen)6);
do_fio(&c__1, (char *)&ierr, (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(ierr);
goto L190;
}
i__3 = n;
for (j = 1; j <= i__3; ++j) {
i__4 = j;
i__5 = j;
i__6 = j;
i__7 = j;
if (alpha[i__4].r != alpha1[i__5].r || alpha[i__4].i !=
alpha1[i__5].i || (beta[i__6].r != beta1[i__7].r ||
beta[i__6].i != beta1[i__7].i)) {
result[5] = ulpinv;
}
/* L120: */
}
/* Do test (6): Compute eigenvalues and left eigenvectors,
and test them */
zlacpy_(" ", &n, &n, &a[a_offset], lda, &s[s_offset], lda);
zlacpy_(" ", &n, &n, &b[b_offset], lda, &t[t_offset], lda);
zggev_("V", "N", &n, &s[s_offset], lda, &t[t_offset], lda, &
alpha1[1], &beta1[1], &qe[qe_offset], ldqe, &z__[z_offset]
, ldq, &work[1], lwork, &rwork[1], &ierr);
if (ierr != 0 && ierr != n + 1) {
result[1] = ulpinv;
io___46.ciunit = *nounit;
s_wsfe(&io___46);
do_fio(&c__1, "ZGGEV3", (ftnlen)6);
do_fio(&c__1, (char *)&ierr, (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(ierr);
goto L190;
}
i__3 = n;
for (j = 1; j <= i__3; ++j) {
i__4 = j;
i__5 = j;
i__6 = j;
i__7 = j;
if (alpha[i__4].r != alpha1[i__5].r || alpha[i__4].i !=
alpha1[i__5].i || (beta[i__6].r != beta1[i__7].r ||
beta[i__6].i != beta1[i__7].i)) {
result[6] = ulpinv;
}
/* L130: */
}
i__3 = n;
for (j = 1; j <= i__3; ++j) {
i__4 = n;
for (jc = 1; jc <= i__4; ++jc) {
i__5 = q_subscr(j, jc);
i__6 = qe_subscr(j, jc);
if (q[i__5].r != qe[i__6].r || q[i__5].i != qe[i__6].i) {
result[6] = ulpinv;
}
/* L140: */
}
/* L150: */
}
/* Do test (7): Compute eigenvalues and right eigenvectors,
and test them */
zlacpy_(" ", &n, &n, &a[a_offset], lda, &s[s_offset], lda);
zlacpy_(" ", &n, &n, &b[b_offset], lda, &t[t_offset], lda);
zggev_("N", "V", &n, &s[s_offset], lda, &t[t_offset], lda, &
alpha1[1], &beta1[1], &q[q_offset], ldq, &qe[qe_offset],
ldqe, &work[1], lwork, &rwork[1], &ierr);
if (ierr != 0 && ierr != n + 1) {
result[1] = ulpinv;
io___47.ciunit = *nounit;
s_wsfe(&io___47);
do_fio(&c__1, "ZGGEV4", (ftnlen)6);
do_fio(&c__1, (char *)&ierr, (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(ierr);
goto L190;
}
i__3 = n;
for (j = 1; j <= i__3; ++j) {
i__4 = j;
i__5 = j;
i__6 = j;
i__7 = j;
if (alpha[i__4].r != alpha1[i__5].r || alpha[i__4].i !=
alpha1[i__5].i || (beta[i__6].r != beta1[i__7].r ||
beta[i__6].i != beta1[i__7].i)) {
result[7] = ulpinv;
}
/* L160: */
}
i__3 = n;
for (j = 1; j <= i__3; ++j) {
i__4 = n;
for (jc = 1; jc <= i__4; ++jc) {
i__5 = z___subscr(j, jc);
i__6 = qe_subscr(j, jc);
if (z__[i__5].r != qe[i__6].r || z__[i__5].i != qe[i__6]
.i) {
result[7] = ulpinv;
}
/* L170: */
}
/* L180: */
}
/* End of Loop -- Check for RESULT(j) > THRESH */
L190:
ntestt += 7;
/* Print out tests which fail. */
for (jr = 1; jr <= 9; ++jr) {
if (result[jr] >= *thresh) {
/* If this is the first test to fail,
print a header to the data file. */
if (nerrs == 0) {
io___48.ciunit = *nounit;
s_wsfe(&io___48);
do_fio(&c__1, "ZGV", (ftnlen)3);
e_wsfe();
/* Matrix types */
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);
do_fio(&c__1, "Orthogonal", (ftnlen)10);
e_wsfe();
/* Tests performed */
io___52.ciunit = *nounit;
s_wsfe(&io___52);
e_wsfe();
}
++nerrs;
if (result[jr] < 1e4) {
io___53.ciunit = *nounit;
s_wsfe(&io___53);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
;
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&jr, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[jr], (ftnlen)sizeof(
doublereal));
e_wsfe();
} else {
io___54.ciunit = *nounit;
s_wsfe(&io___54);
do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer))
;
do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(
integer));
do_fio(&c__1, (char *)&jr, (ftnlen)sizeof(integer));
do_fio(&c__1, (char *)&result[jr], (ftnlen)sizeof(
doublereal));
e_wsfe();
}
}
/* L200: */
}
L210:
;
}
/* L220: */
}
/* Summary */
alasvm_("ZGV", nounit, &nerrs, &ntestt, &c__0);
work[1].r = (doublereal) maxwrk, work[1].i = 0.;
return 0;
/* End of ZDRGEV */
} /* zdrgev_ */
/* Subroutine */ int zerrqr_(char *path, integer *nunit)
{
/* System generated locals */
integer i__1;
doublereal d__1, d__2;
doublecomplex z__1;
/* Builtin functions */
integer s_wsle(cilist *), e_wsle(void);
/* Subroutine */ int s_copy(char *, char *, ftnlen, ftnlen);
/* Local variables */
static integer info;
static doublecomplex a[4] /* was [2][2] */, b[2];
static integer i__, j;
static doublecomplex w[2], x[2], af[4] /* was [2][2] */;
extern /* Subroutine */ int zgeqr2_(integer *, integer *, doublecomplex *,
integer *, doublecomplex *, doublecomplex *, integer *), zung2r_(
integer *, integer *, integer *, doublecomplex *, integer *,
doublecomplex *, doublecomplex *, integer *), zunm2r_(char *,
char *, integer *, integer *, integer *, doublecomplex *, integer
*, doublecomplex *, doublecomplex *, integer *, doublecomplex *,
integer *), alaesm_(char *, logical *, integer *), chkxer_(char *, integer *, integer *, logical *, logical
*), zgeqrf_(integer *, integer *, doublecomplex *,
integer *, doublecomplex *, doublecomplex *, integer *, integer *)
, zgeqrs_(integer *, integer *, integer *, doublecomplex *,
integer *, doublecomplex *, doublecomplex *, integer *,
doublecomplex *, integer *, integer *), zungqr_(integer *,
integer *, integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *, integer *), zunmqr_(char *, char *,
integer *, integer *, integer *, doublecomplex *, integer *,
doublecomplex *, doublecomplex *, integer *, doublecomplex *,
integer *, integer *);
/* Fortran I/O blocks */
static cilist io___1 = { 0, 0, 0, 0, 0 };
#define a_subscr(a_1,a_2) (a_2)*2 + a_1 - 3
#define a_ref(a_1,a_2) a[a_subscr(a_1,a_2)]
#define af_subscr(a_1,a_2) (a_2)*2 + a_1 - 3
#define af_ref(a_1,a_2) af[af_subscr(a_1,a_2)]
/* -- LAPACK test routine (version 3.0) --
Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
Courant Institute, Argonne National Lab, and Rice University
February 29, 1992
Purpose
=======
ZERRQR tests the error exits for the COMPLEX*16 routines
that use the QR decomposition of a general matrix.
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();
/* Set the variables to innocuous values. */
for (j = 1; j <= 2; ++j) {
for (i__ = 1; i__ <= 2; ++i__) {
i__1 = a_subscr(i__, j);
d__1 = 1. / (doublereal) (i__ + j);
d__2 = -1. / (doublereal) (i__ + j);
z__1.r = d__1, z__1.i = d__2;
a[i__1].r = z__1.r, a[i__1].i = z__1.i;
i__1 = af_subscr(i__, j);
d__1 = 1. / (doublereal) (i__ + j);
d__2 = -1. / (doublereal) (i__ + j);
z__1.r = d__1, z__1.i = d__2;
af[i__1].r = z__1.r, af[i__1].i = z__1.i;
/* L10: */
}
i__1 = j - 1;
b[i__1].r = 0., b[i__1].i = 0.;
i__1 = j - 1;
w[i__1].r = 0., w[i__1].i = 0.;
i__1 = j - 1;
x[i__1].r = 0., x[i__1].i = 0.;
/* L20: */
}
infoc_1.ok = TRUE_;
/* Error exits for QR factorization
ZGEQRF */
s_copy(srnamc_1.srnamt, "ZGEQRF", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
zgeqrf_(&c_n1, &c__0, a, &c__1, b, w, &c__1, &info);
chkxer_("ZGEQRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
zgeqrf_(&c__0, &c_n1, a, &c__1, b, w, &c__1, &info);
chkxer_("ZGEQRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
zgeqrf_(&c__2, &c__1, a, &c__1, b, w, &c__1, &info);
chkxer_("ZGEQRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 7;
zgeqrf_(&c__1, &c__2, a, &c__1, b, w, &c__1, &info);
chkxer_("ZGEQRF", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* ZGEQR2 */
s_copy(srnamc_1.srnamt, "ZGEQR2", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
zgeqr2_(&c_n1, &c__0, a, &c__1, b, w, &info);
chkxer_("ZGEQR2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
zgeqr2_(&c__0, &c_n1, a, &c__1, b, w, &info);
chkxer_("ZGEQR2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
zgeqr2_(&c__2, &c__1, a, &c__1, b, w, &info);
chkxer_("ZGEQR2", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* ZGEQRS */
s_copy(srnamc_1.srnamt, "ZGEQRS", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
zgeqrs_(&c_n1, &c__0, &c__0, a, &c__1, x, b, &c__1, w, &c__1, &info);
chkxer_("ZGEQRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
zgeqrs_(&c__0, &c_n1, &c__0, a, &c__1, x, b, &c__1, w, &c__1, &info);
chkxer_("ZGEQRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
zgeqrs_(&c__1, &c__2, &c__0, a, &c__2, x, b, &c__2, w, &c__1, &info);
chkxer_("ZGEQRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
zgeqrs_(&c__0, &c__0, &c_n1, a, &c__1, x, b, &c__1, w, &c__1, &info);
chkxer_("ZGEQRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
zgeqrs_(&c__2, &c__1, &c__0, a, &c__1, x, b, &c__2, w, &c__1, &info);
chkxer_("ZGEQRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 8;
zgeqrs_(&c__2, &c__1, &c__0, a, &c__2, x, b, &c__1, w, &c__1, &info);
chkxer_("ZGEQRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 10;
zgeqrs_(&c__1, &c__1, &c__2, a, &c__1, x, b, &c__1, w, &c__1, &info);
chkxer_("ZGEQRS", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* ZUNGQR */
s_copy(srnamc_1.srnamt, "ZUNGQR", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
zungqr_(&c_n1, &c__0, &c__0, a, &c__1, x, w, &c__1, &info);
chkxer_("ZUNGQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
zungqr_(&c__0, &c_n1, &c__0, a, &c__1, x, w, &c__1, &info);
chkxer_("ZUNGQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
zungqr_(&c__1, &c__2, &c__0, a, &c__1, x, w, &c__2, &info);
chkxer_("ZUNGQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
zungqr_(&c__0, &c__0, &c_n1, a, &c__1, x, w, &c__1, &info);
chkxer_("ZUNGQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
zungqr_(&c__1, &c__1, &c__2, a, &c__1, x, w, &c__1, &info);
chkxer_("ZUNGQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
zungqr_(&c__2, &c__2, &c__0, a, &c__1, x, w, &c__2, &info);
chkxer_("ZUNGQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 8;
zungqr_(&c__2, &c__2, &c__0, a, &c__2, x, w, &c__1, &info);
chkxer_("ZUNGQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* ZUNG2R */
s_copy(srnamc_1.srnamt, "ZUNG2R", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
zung2r_(&c_n1, &c__0, &c__0, a, &c__1, x, w, &info);
chkxer_("ZUNG2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
zung2r_(&c__0, &c_n1, &c__0, a, &c__1, x, w, &info);
chkxer_("ZUNG2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
zung2r_(&c__1, &c__2, &c__0, a, &c__1, x, w, &info);
chkxer_("ZUNG2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
zung2r_(&c__0, &c__0, &c_n1, a, &c__1, x, w, &info);
chkxer_("ZUNG2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
zung2r_(&c__2, &c__1, &c__2, a, &c__2, x, w, &info);
chkxer_("ZUNG2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
zung2r_(&c__2, &c__1, &c__0, a, &c__1, x, w, &info);
chkxer_("ZUNG2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* ZUNMQR */
s_copy(srnamc_1.srnamt, "ZUNMQR", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
zunmqr_("/", "N", &c__0, &c__0, &c__0, a, &c__1, x, af, &c__1, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
zunmqr_("L", "/", &c__0, &c__0, &c__0, a, &c__1, x, af, &c__1, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
zunmqr_("L", "N", &c_n1, &c__0, &c__0, a, &c__1, x, af, &c__1, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
zunmqr_("L", "N", &c__0, &c_n1, &c__0, a, &c__1, x, af, &c__1, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
zunmqr_("L", "N", &c__0, &c__0, &c_n1, a, &c__1, x, af, &c__1, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
zunmqr_("L", "N", &c__0, &c__1, &c__1, a, &c__1, x, af, &c__1, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
zunmqr_("R", "N", &c__1, &c__0, &c__1, a, &c__1, x, af, &c__1, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 7;
zunmqr_("L", "N", &c__2, &c__1, &c__0, a, &c__1, x, af, &c__2, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 7;
zunmqr_("R", "N", &c__1, &c__2, &c__0, a, &c__1, x, af, &c__1, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 10;
zunmqr_("L", "N", &c__2, &c__1, &c__0, a, &c__2, x, af, &c__1, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 12;
zunmqr_("L", "N", &c__1, &c__2, &c__0, a, &c__1, x, af, &c__1, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 12;
zunmqr_("R", "N", &c__2, &c__1, &c__0, a, &c__1, x, af, &c__2, w, &c__1, &
info);
chkxer_("ZUNMQR", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
/* ZUNM2R */
s_copy(srnamc_1.srnamt, "ZUNM2R", (ftnlen)6, (ftnlen)6);
infoc_1.infot = 1;
zunm2r_("/", "N", &c__0, &c__0, &c__0, a, &c__1, x, af, &c__1, w, &info);
chkxer_("ZUNM2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 2;
zunm2r_("L", "/", &c__0, &c__0, &c__0, a, &c__1, x, af, &c__1, w, &info);
chkxer_("ZUNM2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 3;
zunm2r_("L", "N", &c_n1, &c__0, &c__0, a, &c__1, x, af, &c__1, w, &info);
chkxer_("ZUNM2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 4;
zunm2r_("L", "N", &c__0, &c_n1, &c__0, a, &c__1, x, af, &c__1, w, &info);
chkxer_("ZUNM2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
zunm2r_("L", "N", &c__0, &c__0, &c_n1, a, &c__1, x, af, &c__1, w, &info);
chkxer_("ZUNM2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
zunm2r_("L", "N", &c__0, &c__1, &c__1, a, &c__1, x, af, &c__1, w, &info);
chkxer_("ZUNM2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 5;
zunm2r_("R", "N", &c__1, &c__0, &c__1, a, &c__1, x, af, &c__1, w, &info);
chkxer_("ZUNM2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 7;
zunm2r_("L", "N", &c__2, &c__1, &c__0, a, &c__1, x, af, &c__2, w, &info);
chkxer_("ZUNM2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 7;
zunm2r_("R", "N", &c__1, &c__2, &c__0, a, &c__1, x, af, &c__1, w, &info);
chkxer_("ZUNM2R", &infoc_1.infot, &infoc_1.nout, &infoc_1.lerr, &
infoc_1.ok);
infoc_1.infot = 10;
zunm2r_("L", "N", &c__2, &c__1, &c__0, a, &c__2, x, af, &c__1, w, &info);
chkxer_("ZUNM2R", &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 ZERRQR */
} /* zerrqr_ */
/* Subroutine */ int zhet21_(integer *itype, char *uplo, integer *n, integer *
kband, doublecomplex *a, integer *lda, doublereal *d__, doublereal *e,
doublecomplex *u, integer *ldu, doublecomplex *v, integer *ldv,
doublecomplex *tau, doublecomplex *work, doublereal *rwork,
doublereal *result)
{
/* System generated locals */
integer a_dim1, a_offset, u_dim1, u_offset, v_dim1, v_offset, i__1, i__2,
i__3, i__4, i__5, i__6;
doublereal d__1, d__2;
doublecomplex z__1, z__2, z__3;
/* Local variables */
integer j, jr;
doublereal ulp;
integer jcol;
doublereal unfl;
extern /* Subroutine */ int zher_(char *, integer *, doublereal *,
doublecomplex *, integer *, doublecomplex *, integer *);
integer jrow;
extern /* Subroutine */ int zher2_(char *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *,
doublecomplex *, integer *);
extern logical lsame_(char *, char *);
integer iinfo;
doublereal anorm;
extern /* Subroutine */ int zgemm_(char *, char *, integer *, integer *,
integer *, doublecomplex *, doublecomplex *, integer *,
doublecomplex *, integer *, doublecomplex *, doublecomplex *,
integer *);
char cuplo[1];
doublecomplex vsave;
logical lower;
doublereal wnorm;
extern /* Subroutine */ int zunm2l_(char *, char *, integer *, integer *,
integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *);
extern doublereal dlamch_(char *);
extern /* Subroutine */ int zunm2r_(char *, char *, integer *, integer *,
integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *, integer *);
extern doublereal zlange_(char *, integer *, integer *, doublecomplex *,
integer *, doublereal *), zlanhe_(char *, char *, integer
*, doublecomplex *, integer *, doublereal *);
extern /* Subroutine */ int zlacpy_(char *, integer *, integer *,
doublecomplex *, integer *, doublecomplex *, integer *),
zlaset_(char *, integer *, integer *, doublecomplex *,
doublecomplex *, doublecomplex *, integer *), zlarfy_(
char *, integer *, doublecomplex *, integer *, doublecomplex *,
doublecomplex *, integer *, doublecomplex *);
/* -- LAPACK test routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* .. Array Arguments .. */
/* .. */
/* Purpose */
/* ======= */
/* ZHET21 generally checks a decomposition of the form */
/* A = U S U* */
/* where * means conjugate transpose, A is hermitian, U is unitary, and */
/* S is diagonal (if KBAND=0) or (real) symmetric tridiagonal (if */
/* KBAND=1). */
/* If ITYPE=1, then U is represented as a dense matrix; otherwise U is */
/* expressed as a product of Householder transformations, whose vectors */
/* are stored in the array "V" and whose scaling constants are in "TAU". */
/* We shall use the letter "V" to refer to the product of Householder */
/* transformations (which should be equal to U). */
/* Specifically, if ITYPE=1, then: */
/* RESULT(1) = | A - U S U* | / ( |A| n ulp ) *and* */
/* RESULT(2) = | I - UU* | / ( n ulp ) */
/* If ITYPE=2, then: */
/* RESULT(1) = | A - V S V* | / ( |A| n ulp ) */
/* If ITYPE=3, then: */
/* RESULT(1) = | I - UV* | / ( n ulp ) */
/* For ITYPE > 1, the transformation U is expressed as a product */
/* V = H(1)...H(n-2), where H(j) = I - tau(j) v(j) v(j)* and each */
/* vector v(j) has its first j elements 0 and the remaining n-j elements */
/* stored in V(j+1:n,j). */
/* Arguments */
/* ========= */
/* ITYPE (input) INTEGER */
/* Specifies the type of tests to be performed. */
/* 1: U expressed as a dense unitary matrix: */
/* RESULT(1) = | A - U S U* | / ( |A| n ulp ) *and* */
/* RESULT(2) = | I - UU* | / ( n ulp ) */
/* 2: U expressed as a product V of Housholder transformations: */
/* RESULT(1) = | A - V S V* | / ( |A| n ulp ) */
/* 3: U expressed both as a dense unitary matrix and */
/* as a product of Housholder transformations: */
/* RESULT(1) = | I - UV* | / ( n ulp ) */
/* UPLO (input) CHARACTER */
/* If UPLO='U', the upper triangle of A and V will be used and */
/* the (strictly) lower triangle will not be referenced. */
/* If UPLO='L', the lower triangle of A and V will be used and */
/* the (strictly) upper triangle will not be referenced. */
/* N (input) INTEGER */
/* The size of the matrix. If it is zero, ZHET21 does nothing. */
/* It must be at least zero. */
/* KBAND (input) INTEGER */
/* The bandwidth of the matrix. It may only be zero or one. */
/* If zero, then S is diagonal, and E is not referenced. If */
/* one, then S is symmetric tri-diagonal. */
/* A (input) COMPLEX*16 array, dimension (LDA, N) */
/* The original (unfactored) matrix. It is assumed to be */
/* hermitian, and only the upper (UPLO='U') or only the lower */
/* (UPLO='L') will be referenced. */
/* LDA (input) INTEGER */
/* The leading dimension of A. It must be at least 1 */
/* and at least N. */
/* D (input) DOUBLE PRECISION array, dimension (N) */
/* The diagonal of the (symmetric tri-) diagonal matrix. */
/* E (input) DOUBLE PRECISION array, dimension (N-1) */
/* The off-diagonal of the (symmetric tri-) diagonal matrix. */
/* E(1) is the (1,2) and (2,1) element, E(2) is the (2,3) and */
/* (3,2) element, etc. */
/* Not referenced if KBAND=0. */
/* U (input) COMPLEX*16 array, dimension (LDU, N) */
/* If ITYPE=1 or 3, this contains the unitary matrix in */
/* the decomposition, expressed as a dense matrix. If ITYPE=2, */
/* then it is not referenced. */
/* LDU (input) INTEGER */
/* The leading dimension of U. LDU must be at least N and */
/* at least 1. */
/* V (input) COMPLEX*16 array, dimension (LDV, N) */
/* If ITYPE=2 or 3, the columns of this array contain the */
/* Householder vectors used to describe the unitary matrix */
/* in the decomposition. If UPLO='L', then the vectors are in */
/* the lower triangle, if UPLO='U', then in the upper */
/* triangle. */
/* *NOTE* If ITYPE=2 or 3, V is modified and restored. The */
/* subdiagonal (if UPLO='L') or the superdiagonal (if UPLO='U') */
/* is set to one, and later reset to its original value, during */
/* the course of the calculation. */
/* If ITYPE=1, then it is neither referenced nor modified. */
/* LDV (input) INTEGER */
/* The leading dimension of V. LDV must be at least N and */
/* at least 1. */
/* TAU (input) COMPLEX*16 array, dimension (N) */
/* If ITYPE >= 2, then TAU(j) is the scalar factor of */
/* v(j) v(j)* in the Householder transformation H(j) of */
/* the product U = H(1)...H(n-2) */
/* If ITYPE < 2, then TAU is not referenced. */
/* WORK (workspace) COMPLEX*16 array, dimension (2*N**2) */
/* RWORK (workspace) DOUBLE PRECISION array, dimension (N) */
/* RESULT (output) DOUBLE PRECISION array, dimension (2) */
/* The values computed by the two tests described above. The */
/* values are currently limited to 1/ulp, to avoid overflow. */
/* RESULT(1) is always modified. RESULT(2) is modified only */
/* if ITYPE=1. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. External Functions .. */
/* .. */
/* .. External Subroutines .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Parameter adjustments */
a_dim1 = *lda;
a_offset = 1 + a_dim1;
a -= a_offset;
--d__;
--e;
u_dim1 = *ldu;
u_offset = 1 + u_dim1;
u -= u_offset;
v_dim1 = *ldv;
v_offset = 1 + v_dim1;
v -= v_offset;
--tau;
--work;
--rwork;
--result;
/* Function Body */
result[1] = 0.;
if (*itype == 1) {
result[2] = 0.;
}
if (*n <= 0) {
return 0;
}
if (lsame_(uplo, "U")) {
lower = FALSE_;
*(unsigned char *)cuplo = 'U';
} else {
lower = TRUE_;
*(unsigned char *)cuplo = 'L';
}
unfl = dlamch_("Safe minimum");
ulp = dlamch_("Epsilon") * dlamch_("Base");
/* Some Error Checks */
if (*itype < 1 || *itype > 3) {
result[1] = 10. / ulp;
return 0;
}
/* Do Test 1 */
/* Norm of A: */
if (*itype == 3) {
anorm = 1.;
} else {
/* Computing MAX */
d__1 = zlanhe_("1", cuplo, n, &a[a_offset], lda, &rwork[1]);
anorm = max(d__1,unfl);
}
/* Compute error matrix: */
if (*itype == 1) {
/* ITYPE=1: error = A - U S U* */
zlaset_("Full", n, n, &c_b1, &c_b1, &work[1], n);
zlacpy_(cuplo, n, n, &a[a_offset], lda, &work[1], n);
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
d__1 = -d__[j];
zher_(cuplo, n, &d__1, &u[j * u_dim1 + 1], &c__1, &work[1], n);
/* L10: */
}
if (*n > 1 && *kband == 1) {
i__1 = *n - 1;
for (j = 1; j <= i__1; ++j) {
i__2 = j;
z__2.r = e[i__2], z__2.i = 0.;
z__1.r = -z__2.r, z__1.i = -z__2.i;
zher2_(cuplo, n, &z__1, &u[j * u_dim1 + 1], &c__1, &u[(j - 1)
* u_dim1 + 1], &c__1, &work[1], n);
/* L20: */
}
}
wnorm = zlanhe_("1", cuplo, n, &work[1], n, &rwork[1]);
} else if (*itype == 2) {
/* ITYPE=2: error = V S V* - A */
zlaset_("Full", n, n, &c_b1, &c_b1, &work[1], n);
if (lower) {
/* Computing 2nd power */
i__2 = *n;
i__1 = i__2 * i__2;
i__3 = *n;
work[i__1].r = d__[i__3], work[i__1].i = 0.;
for (j = *n - 1; j >= 1; --j) {
if (*kband == 1) {
i__1 = (*n + 1) * (j - 1) + 2;
i__2 = j;
z__2.r = 1. - tau[i__2].r, z__2.i = 0. - tau[i__2].i;
i__3 = j;
z__1.r = e[i__3] * z__2.r, z__1.i = e[i__3] * z__2.i;
work[i__1].r = z__1.r, work[i__1].i = z__1.i;
i__1 = *n;
for (jr = j + 2; jr <= i__1; ++jr) {
i__2 = (j - 1) * *n + jr;
i__3 = j;
z__3.r = -tau[i__3].r, z__3.i = -tau[i__3].i;
i__4 = j;
z__2.r = e[i__4] * z__3.r, z__2.i = e[i__4] * z__3.i;
i__5 = jr + j * v_dim1;
z__1.r = z__2.r * v[i__5].r - z__2.i * v[i__5].i,
z__1.i = z__2.r * v[i__5].i + z__2.i * v[i__5]
.r;
work[i__2].r = z__1.r, work[i__2].i = z__1.i;
/* L30: */
}
}
i__1 = j + 1 + j * v_dim1;
vsave.r = v[i__1].r, vsave.i = v[i__1].i;
i__1 = j + 1 + j * v_dim1;
v[i__1].r = 1., v[i__1].i = 0.;
i__1 = *n - j;
/* Computing 2nd power */
i__2 = *n;
zlarfy_("L", &i__1, &v[j + 1 + j * v_dim1], &c__1, &tau[j], &
work[(*n + 1) * j + 1], n, &work[i__2 * i__2 + 1]);
i__1 = j + 1 + j * v_dim1;
v[i__1].r = vsave.r, v[i__1].i = vsave.i;
i__1 = (*n + 1) * (j - 1) + 1;
i__2 = j;
work[i__1].r = d__[i__2], work[i__1].i = 0.;
/* L40: */
}
} else {
work[1].r = d__[1], work[1].i = 0.;
i__1 = *n - 1;
for (j = 1; j <= i__1; ++j) {
if (*kband == 1) {
i__2 = (*n + 1) * j;
i__3 = j;
z__2.r = 1. - tau[i__3].r, z__2.i = 0. - tau[i__3].i;
i__4 = j;
z__1.r = e[i__4] * z__2.r, z__1.i = e[i__4] * z__2.i;
work[i__2].r = z__1.r, work[i__2].i = z__1.i;
i__2 = j - 1;
for (jr = 1; jr <= i__2; ++jr) {
i__3 = j * *n + jr;
i__4 = j;
z__3.r = -tau[i__4].r, z__3.i = -tau[i__4].i;
i__5 = j;
z__2.r = e[i__5] * z__3.r, z__2.i = e[i__5] * z__3.i;
i__6 = jr + (j + 1) * v_dim1;
z__1.r = z__2.r * v[i__6].r - z__2.i * v[i__6].i,
z__1.i = z__2.r * v[i__6].i + z__2.i * v[i__6]
.r;
work[i__3].r = z__1.r, work[i__3].i = z__1.i;
/* L50: */
}
}
i__2 = j + (j + 1) * v_dim1;
vsave.r = v[i__2].r, vsave.i = v[i__2].i;
i__2 = j + (j + 1) * v_dim1;
v[i__2].r = 1., v[i__2].i = 0.;
/* Computing 2nd power */
i__2 = *n;
zlarfy_("U", &j, &v[(j + 1) * v_dim1 + 1], &c__1, &tau[j], &
work[1], n, &work[i__2 * i__2 + 1]);
i__2 = j + (j + 1) * v_dim1;
v[i__2].r = vsave.r, v[i__2].i = vsave.i;
i__2 = (*n + 1) * j + 1;
i__3 = j + 1;
work[i__2].r = d__[i__3], work[i__2].i = 0.;
/* L60: */
}
}
i__1 = *n;
for (jcol = 1; jcol <= i__1; ++jcol) {
if (lower) {
i__2 = *n;
for (jrow = jcol; jrow <= i__2; ++jrow) {
i__3 = jrow + *n * (jcol - 1);
i__4 = jrow + *n * (jcol - 1);
i__5 = jrow + jcol * a_dim1;
z__1.r = work[i__4].r - a[i__5].r, z__1.i = work[i__4].i
- a[i__5].i;
work[i__3].r = z__1.r, work[i__3].i = z__1.i;
/* L70: */
}
} else {
i__2 = jcol;
for (jrow = 1; jrow <= i__2; ++jrow) {
i__3 = jrow + *n * (jcol - 1);
i__4 = jrow + *n * (jcol - 1);
i__5 = jrow + jcol * a_dim1;
z__1.r = work[i__4].r - a[i__5].r, z__1.i = work[i__4].i
- a[i__5].i;
work[i__3].r = z__1.r, work[i__3].i = z__1.i;
/* L80: */
}
}
/* L90: */
}
wnorm = zlanhe_("1", cuplo, n, &work[1], n, &rwork[1]);
} else if (*itype == 3) {
/* ITYPE=3: error = U V* - I */
if (*n < 2) {
return 0;
}
zlacpy_(" ", n, n, &u[u_offset], ldu, &work[1], n);
if (lower) {
i__1 = *n - 1;
i__2 = *n - 1;
/* Computing 2nd power */
i__3 = *n;
zunm2r_("R", "C", n, &i__1, &i__2, &v[v_dim1 + 2], ldv, &tau[1], &
work[*n + 1], n, &work[i__3 * i__3 + 1], &iinfo);
} else {
i__1 = *n - 1;
i__2 = *n - 1;
/* Computing 2nd power */
i__3 = *n;
zunm2l_("R", "C", n, &i__1, &i__2, &v[(v_dim1 << 1) + 1], ldv, &
tau[1], &work[1], n, &work[i__3 * i__3 + 1], &iinfo);
}
if (iinfo != 0) {
result[1] = 10. / ulp;
return 0;
}
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = (*n + 1) * (j - 1) + 1;
i__3 = (*n + 1) * (j - 1) + 1;
z__1.r = work[i__3].r - 1., z__1.i = work[i__3].i - 0.;
work[i__2].r = z__1.r, work[i__2].i = z__1.i;
/* L100: */
}
wnorm = zlange_("1", n, n, &work[1], n, &rwork[1]);
}
if (anorm > wnorm) {
result[1] = wnorm / anorm / (*n * ulp);
} else {
if (anorm < 1.) {
/* Computing MIN */
d__1 = wnorm, d__2 = *n * anorm;
result[1] = min(d__1,d__2) / anorm / (*n * ulp);
} else {
/* Computing MIN */
d__1 = wnorm / anorm, d__2 = (doublereal) (*n);
result[1] = min(d__1,d__2) / (*n * ulp);
}
}
/* Do Test 2 */
/* Compute UU* - I */
if (*itype == 1) {
zgemm_("N", "C", n, n, n, &c_b2, &u[u_offset], ldu, &u[u_offset], ldu,
&c_b1, &work[1], n);
i__1 = *n;
for (j = 1; j <= i__1; ++j) {
i__2 = (*n + 1) * (j - 1) + 1;
i__3 = (*n + 1) * (j - 1) + 1;
z__1.r = work[i__3].r - 1., z__1.i = work[i__3].i - 0.;
work[i__2].r = z__1.r, work[i__2].i = z__1.i;
/* L110: */
}
/* Computing MIN */
d__1 = zlange_("1", n, n, &work[1], n, &rwork[1]), d__2 = (
doublereal) (*n);
result[2] = min(d__1,d__2) / (*n * ulp);
}
return 0;
/* End of ZHET21 */
} /* zhet21_ */
