#include "blaswrap.h" /* -- translated by f2c (version 19990503). You must link the resulting object file with the libraries: -lf2c -lm (in that order) */ #include "f2c.h" /* Table of constant values */ static complex c_b1 = {0.f,0.f}; static integer c__1 = 1; static integer c_n1 = -1; static integer c__0 = 0; static integer c__4 = 4; static integer c__2 = 2; static real c_b39 = 1.f; static integer c__3 = 3; static logical c_true = TRUE_; static logical c_false = FALSE_; /* Subroutine */ int cdrvgg_(integer *nsizes, integer *nn, integer *ntypes, logical *dotype, integer *iseed, real *thresh, real *thrshn, integer * nounit, complex *a, integer *lda, complex *b, complex *s, complex *t, complex *s2, complex *t2, complex *q, integer *ldq, complex *z__, complex *alpha1, complex *beta1, complex *alpha2, complex *beta2, complex *vl, complex *vr, complex *work, integer *lwork, real *rwork, real *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 CDRVGG: \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 CDRVGG: \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 CDRVGG 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,e10.3)"; /* 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; real r__1, r__2, r__3, r__4, r__5, r__6, r__7, r__8, r__9, r__10, r__11, r__12, r__13, r__14, r__15, r__16; complex q__1, q__2, q__3, q__4; /* Builtin functions */ double r_sign(real *, real *), c_abs(complex *); void r_cnjg(complex *, complex *); integer s_wsfe(cilist *), do_fio(integer *, char *, ftnlen), e_wsfe(void); double r_imag(complex *); /* Local variables */ static integer iadd, nmax; static real temp1, temp2; static integer j, n; static logical badnn; extern /* Subroutine */ int cgegs_(char *, char *, integer *, complex *, integer *, complex *, integer *, complex *, complex *, complex *, integer *, complex *, integer *, complex *, integer *, real *, integer *), cgegv_(char *, char *, integer *, complex *, integer *, complex *, integer *, complex *, complex *, complex *, integer *, complex *, integer *, complex *, integer *, real *, integer *), cget51_(integer *, integer *, complex *, integer *, complex *, integer *, complex *, integer *, complex *, integer *, complex *, real *, real *), cget52_(logical *, integer *, complex *, integer *, complex *, integer *, complex *, integer *, complex *, complex *, complex *, real *, real *); static real dumma[4]; static integer iinfo; static real rmagn[4]; static complex ctemp; static integer nmats, jsize, nerrs, i1, jtype, ntest, n1; extern /* Subroutine */ int clatm4_(integer *, integer *, integer *, integer *, logical *, real *, real *, real *, integer *, integer * , complex *, integer *), cunm2r_(char *, char *, integer *, integer *, integer *, complex *, integer *, complex *, complex *, integer *, complex *, integer *); static integer jc, nb; extern /* Subroutine */ int slabad_(real *, real *); static integer in, jr; extern /* Subroutine */ int clarfg_(integer *, complex *, complex *, integer *, complex *); static integer ns; extern /* Complex */ VOID clarnd_(complex *, integer *, integer *); extern doublereal slamch_(char *); extern /* Subroutine */ int clacpy_(char *, integer *, integer *, complex *, integer *, complex *, integer *); static real 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 *), claset_(char *, integer *, integer *, complex *, complex *, complex *, integer *), xerbla_(char *, integer *); static real ulpinv; static integer lwkopt, mtypes, ntestt, nbz; static real ulp; /* 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 }; #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 s_subscr(a_1,a_2) (a_2)*s_dim1 + a_1 #define s_ref(a_1,a_2) s[s_subscr(a_1,a_2)] #define t_subscr(a_1,a_2) (a_2)*t_dim1 + a_1 #define t_ref(a_1,a_2) t[t_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)] /* -- LAPACK test routine (version 3.0) -- Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd., Courant Institute, Argonne National Lab, and Rice University September 30, 1994 Purpose ======= CDRVGG checks the nonsymmetric generalized eigenvalue driver routines. T T T CGEGS 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 CGEGV 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 CDRVGG 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 CGEGS: 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 CGEGV: (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, CDRVGG 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, CDRVGG 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 CDRVGG to continue the same random number sequence. THRESH (input) REAL A test will count as "failed" if the "error", computed as described above, exceeds THRESH. Note that the error is scaled to be O(1), so THRESH should be a reasonably small multiple of 1, e.g., 10 or 100. In particular, it should not depend on the precision (single vs. double) or the size of the matrix. It must be at least zero. THRSHN (input) REAL 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 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 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 array, dimension (LDA, max(NN)) The upper triangular matrix computed from A by CGEGS. T (workspace) COMPLEX array, dimension (LDA, max(NN)) The upper triangular matrix computed from B by CGEGS. S2 (workspace) COMPLEX array, dimension (LDA, max(NN)) The matrix computed from A by CGEGV. 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 array, dimension (LDA, max(NN)) The matrix computed from B by CGEGV. 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 array, dimension (LDQ, max(NN)) The (left) unitary matrix computed by CGEGS. 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 array, dimension (LDQ, max(NN)) The (right) unitary matrix computed by CGEGS. ALPHA1 (workspace) COMPLEX array, dimension (max(NN)) BETA1 (workspace) COMPLEX array, dimension (max(NN)) The generalized eigenvalues of (A,B) computed by CGEGS. ALPHA1(k) / BETA1(k) is the k-th generalized eigenvalue of the matrices in A and B. ALPHA2 (workspace) COMPLEX array, dimension (max(NN)) BETA2 (workspace) COMPLEX array, dimension (max(NN)) The generalized eigenvalues of (A,B) computed by CGEGV. ALPHA2(k) / BETA2(k) is the k-th generalized eigenvalue of the matrices in A and B. VL (workspace) COMPLEX array, dimension (LDQ, max(NN)) The (lower triangular) left eigenvector matrix for the matrices in A and B. VR (workspace) COMPLEX array, dimension (LDQ, max(NN)) The (upper triangular) right eigenvector matrix for the matrices in A and B. WORK (workspace) COMPLEX 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 CHGEQZ, and NB is the greatest of the blocksizes for CGEQRF, CUNMQR, and CUNGQR. (The blocksizes and the number-of-shifts are retrieved through calls to ILAENV.) RWORK (workspace) REAL array, dimension (8*N) RESULT (output) REAL 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. ===================================================================== Parameter adjustments */ --nn; --dotype; --iseed; t2_dim1 = *lda; t2_offset = 1 + t2_dim1 * 1; t2 -= t2_offset; s2_dim1 = *lda; s2_offset = 1 + s2_dim1 * 1; s2 -= s2_offset; 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; vr_dim1 = *ldq; vr_offset = 1 + vr_dim1 * 1; vr -= vr_offset; vl_dim1 = *ldq; vl_offset = 1 + vl_dim1 * 1; vl -= vl_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; --alpha1; --beta1; --alpha2; --beta2; --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: */ } /* 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, "CGEQRF", " ", &nmax, &nmax, &c_n1, &c_n1, (ftnlen)6, (ftnlen)1), i__1 = max(i__1,i__2), i__2 = ilaenv_(& c__1, "CUNMQR", "LC", &nmax, &nmax, &nmax, &c_n1, (ftnlen)6, ( ftnlen)2), i__1 = max(i__1,i__2), i__2 = ilaenv_(&c__1, "CUNGQR", " ", &nmax, &nmax, &nmax, &c_n1, (ftnlen)6, (ftnlen)1); nb = max(i__1,i__2); nbz = ilaenv_(&c__1, "CHGEQZ", "SII", &nmax, &c__1, &nmax, &c__0, (ftnlen) 6, (ftnlen)3); ns = ilaenv_(&c__4, "CHGEQZ", "SII", &nmax, &c__1, &nmax, &c__0, (ftnlen) 6, (ftnlen)3); 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.f) { *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_("CDRVGG", &i__1); return 0; } /* Quick return if possible */ if (*nsizes == 0 || *ntypes == 0) { return 0; } ulp = slamch_("Precision"); safmin = slamch_("Safe minimum"); safmin /= ulp; safmax = 1.f / safmin; slabad_(&safmin, &safmax); ulpinv = 1.f / ulp; /* The values RMAGN(2:3) depend on N, see below. */ rmagn[0] = 0.f; rmagn[1] = 1.f; /* 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 / (real) 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.f; /* L30: */ } /* Compute A and B Description of control parameters: KCLASS: =1 means w/o rotation, =2 means w/ rotation, =3 means random. KATYPE: the "type" to be passed to CLATM4 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) { claset_("Full", &n, &n, &c_b1, &c_b1, &a[a_offset], lda); } } else { in = n; } clatm4_(&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.f; } /* Generate B (w/o rotation) */ if ((i__3 = kbtype[jtype - 1], abs(i__3)) == 3) { in = ((n - 1) / 2 << 1) + 1; if (in != n) { claset_("Full", &n, &n, &c_b1, &c_b1, &b[b_offset], lda); } } else { in = n; } clatm4_(&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 = b_subscr(iadd, iadd); i__4 = kbmagn[jtype - 1]; b[i__3].r = rmagn[i__4], b[i__3].i = 0.f; } 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); clarnd_(&q__1, &c__3, &iseed[1]); q[i__5].r = q__1.r, q[i__5].i = q__1.i; i__5 = z___subscr(jr, jc); clarnd_(&q__1, &c__3, &iseed[1]); z__[i__5].r = q__1.r, z__[i__5].i = q__1.i; /* L40: */ } i__4 = n + 1 - jc; clarfg_(&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); r__2 = q[i__5].r; r__1 = r_sign(&c_b39, &r__2); work[i__4].r = r__1, work[i__4].i = 0.f; i__4 = q_subscr(jc, jc); q[i__4].r = 1.f, q[i__4].i = 0.f; i__4 = n + 1 - jc; clarfg_(&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); r__2 = z__[i__5].r; r__1 = r_sign(&c_b39, &r__2); work[i__4].r = r__1, work[i__4].i = 0.f; i__4 = z___subscr(jc, jc); z__[i__4].r = 1.f, z__[i__4].i = 0.f; /* L50: */ } clarnd_(&q__1, &c__3, &iseed[1]); ctemp.r = q__1.r, ctemp.i = q__1.i; i__3 = q_subscr(n, n); q[i__3].r = 1.f, q[i__3].i = 0.f; i__3 = n; work[i__3].r = 0.f, work[i__3].i = 0.f; i__3 = n * 3; r__1 = c_abs(&ctemp); q__1.r = ctemp.r / r__1, q__1.i = ctemp.i / r__1; work[i__3].r = q__1.r, work[i__3].i = q__1.i; clarnd_(&q__1, &c__3, &iseed[1]); ctemp.r = q__1.r, ctemp.i = q__1.i; i__3 = z___subscr(n, n); z__[i__3].r = 1.f, z__[i__3].i = 0.f; i__3 = n << 1; work[i__3].r = 0.f, work[i__3].i = 0.f; i__3 = n << 2; r__1 = c_abs(&ctemp); q__1.r = ctemp.r / r__1, q__1.i = ctemp.i / r__1; work[i__3].r = q__1.r, work[i__3].i = q__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; r_cnjg(&q__3, &work[n * 3 + jc]); q__2.r = work[i__6].r * q__3.r - work[i__6].i * q__3.i, q__2.i = work[i__6].r * q__3.i + work[i__6].i * q__3.r; i__7 = a_subscr(jr, jc); q__1.r = q__2.r * a[i__7].r - q__2.i * a[i__7].i, q__1.i = q__2.r * a[i__7].i + q__2.i * a[ i__7].r; a[i__5].r = q__1.r, a[i__5].i = q__1.i; i__5 = b_subscr(jr, jc); i__6 = (n << 1) + jr; r_cnjg(&q__3, &work[n * 3 + jc]); q__2.r = work[i__6].r * q__3.r - work[i__6].i * q__3.i, q__2.i = work[i__6].r * q__3.i + work[i__6].i * q__3.r; i__7 = b_subscr(jr, jc); q__1.r = q__2.r * b[i__7].r - q__2.i * b[i__7].i, q__1.i = q__2.r * b[i__7].i + q__2.i * b[ i__7].r; b[i__5].r = q__1.r, b[i__5].i = q__1.i; /* L60: */ } /* L70: */ } i__3 = n - 1; cunm2r_("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; cunm2r_("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; cunm2r_("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; cunm2r_("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 = a_subscr(jr, jc); i__6 = kamagn[jtype - 1]; clarnd_(&q__2, &c__4, &iseed[1]); q__1.r = rmagn[i__6] * q__2.r, q__1.i = rmagn[i__6] * q__2.i; a[i__5].r = q__1.r, a[i__5].i = q__1.i; i__5 = b_subscr(jr, jc); i__6 = kbmagn[jtype - 1]; clarnd_(&q__2, &c__4, &iseed[1]); q__1.r = rmagn[i__6] * q__2.r, q__1.i = rmagn[i__6] * q__2.i; b[i__5].r = q__1.r, b[i__5].i = q__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 CGEGS to compute H, T, Q, Z, alpha, and beta. */ clacpy_(" ", &n, &n, &a[a_offset], lda, &s[s_offset], lda); clacpy_(" ", &n, &n, &b[b_offset], lda, &t[t_offset], lda); ntest = 1; result[1] = ulpinv; cgegs_("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, "CGEGS", (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 */ cget51_(&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]); cget51_(&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]); cget51_(&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]); cget51_(&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.f; i__3 = n; for (j = 1; j <= i__3; ++j) { i__4 = j; i__5 = s_subscr(j, j); q__2.r = alpha1[i__4].r - s[i__5].r, q__2.i = alpha1[i__4].i - s[i__5].i; q__1.r = q__2.r, q__1.i = q__2.i; i__6 = j; i__7 = t_subscr(j, j); q__4.r = beta1[i__6].r - t[i__7].r, q__4.i = beta1[i__6].i - t[i__7].i; q__3.r = q__4.r, q__3.i = q__4.i; /* Computing MAX */ i__8 = j; i__9 = s_subscr(j, j); r__13 = safmin, r__14 = (r__1 = alpha1[i__8].r, dabs(r__1)) + (r__2 = r_imag(&alpha1[j]), dabs(r__2)), r__13 = max( r__13,r__14), r__14 = (r__3 = s[i__9].r, dabs(r__3)) + (r__4 = r_imag(&s_ref(j, j)), dabs(r__4)); /* Computing MAX */ i__10 = j; i__11 = t_subscr(j, j); r__15 = safmin, r__16 = (r__5 = beta1[i__10].r, dabs(r__5)) + (r__6 = r_imag(&beta1[j]), dabs(r__6)), r__15 = max( r__15,r__16), r__16 = (r__7 = t[i__11].r, dabs(r__7)) + (r__8 = r_imag(&t_ref(j, j)), dabs(r__8)); temp2 = (((r__9 = q__1.r, dabs(r__9)) + (r__10 = r_imag(&q__1) , dabs(r__10))) / dmax(r__13,r__14) + ((r__11 = q__3.r, dabs(r__11)) + (r__12 = r_imag(&q__3), dabs( r__12))) / dmax(r__15,r__16)) / ulp; temp1 = dmax(temp1,temp2); /* L120: */ } result[5] = temp1; /* Call CGEGV to compute S2, T2, VL, and VR, do tests. Eigenvalues and Eigenvectors */ clacpy_(" ", &n, &n, &a[a_offset], lda, &s2[s2_offset], lda); clacpy_(" ", &n, &n, &b[b_offset], lda, &t2[t2_offset], lda); ntest = 6; result[6] = ulpinv; cgegv_("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, "CGEGV", (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 */ cget52_(&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, "CGEGV", (ftnlen)5); do_fio(&c__1, (char *)&dumma[1], (ftnlen)sizeof(real)); do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer)); do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer)); e_wsfe(); } cget52_(&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, "CGEGV", (ftnlen)5); do_fio(&c__1, (char *)&dumma[1], (ftnlen)sizeof(real)); do_fio(&c__1, (char *)&n, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&jtype, (ftnlen)sizeof(integer)); do_fio(&c__4, (char *)&ioldsd[0], (ftnlen)sizeof(integer)); e_wsfe(); } /* 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, "CGG", (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] < 1e4f) { 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( real)); 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( real)); e_wsfe(); } } /* L140: */ } L150: ; } /* L160: */ } /* Summary */ alasvm_("CGG", nounit, &nerrs, &ntestt, &c__0); return 0; /* End of CDRVGG */ } /* cdrvgg_ */ #undef z___ref #undef z___subscr #undef t_ref #undef t_subscr #undef s_ref #undef s_subscr #undef q_ref #undef q_subscr #undef b_ref #undef b_subscr #undef a_ref #undef a_subscr