#include "blaswrap.h" /* ddrges.f -- translated by f2c (version 20061008). You must link the resulting object file with libf2c: on Microsoft Windows system, link with libf2c.lib; on Linux or Unix systems, link with .../path/to/libf2c.a -lm or, if you install libf2c.a in a standard place, with -lf2c -lm -- in that order, at the end of the command line, as in cc *.o -lf2c -lm Source for libf2c is in /netlib/f2c/libf2c.zip, e.g., http://www.netlib.org/f2c/libf2c.zip */ #include "f2c.h" /* Table of constant values */ static integer c__1 = 1; static integer c_n1 = -1; static doublereal c_b26 = 0.; static integer c__2 = 2; static doublereal c_b32 = 1.; static integer c__3 = 3; static integer c__4 = 4; static integer c__0 = 0; /* Subroutine */ int ddrges_(integer *nsizes, integer *nn, integer *ntypes, logical *dotype, integer *iseed, doublereal *thresh, integer *nounit, doublereal *a, integer *lda, doublereal *b, doublereal *s, doublereal *t, doublereal *q, integer *ldq, doublereal *z__, doublereal *alphar, doublereal *alphai, doublereal *beta, doublereal *work, integer * lwork, 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 integer iasign[26] = { 0,0,0,0,0,0,2,0,2,2,0,0,2,2,2,0,2,0,0,0,2,2, 2,2,2,0 }; static integer ibsign[26] = { 0,0,0,0,0,0,0,2,0,0,2,2,0,0,2,0,2,0,0,0,0,0, 0,0,0,0 }; 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 DDRGES: \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 DDRGES: DGET53 returned INFO=\002,i1," "\002 for eigenvalue \002,i6,\002.\002,/9x,\002N=\002,i6,\002, JT" "YPE=\002,i6,\002, ISEED=(\002,4(i4,\002,\002),i5,\002)\002)"; static char fmt_9997[] = "(\002 DDRGES: 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_9996[] = "(/1x,a3,\002 -- Real Generalized Schur form dr" "iver\002)"; static char fmt_9995[] = "(\002 Matrix types (see DDRGES for details):" " \002)"; static char fmt_9994[] = "(\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_9993[] = "(\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_9992[] = "(/\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 " "number of \002,\002selected eigenvalues\002,/)"; 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" ",0p,f8.2)"; static char fmt_9990[] = "(\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; doublereal d__1, d__2, d__3, d__4, d__5, d__6, d__7, d__8, d__9, d__10; /* Builtin functions */ double d_sign(doublereal *, doublereal *); integer s_wsfe(cilist *), do_fio(integer *, char *, ftnlen), e_wsfe(void); /* Local variables */ static integer i__, j, n, i1, n1, jc, nb, in, jr; static doublereal ulp; static integer iadd, sdim, ierr, nmax, rsub; static char sort[1]; static doublereal temp1, temp2; static logical badnn; extern /* Subroutine */ int dget51_(integer *, integer *, doublereal *, integer *, doublereal *, integer *, doublereal *, integer *, doublereal *, integer *, doublereal *, doublereal *), dget53_( doublereal *, integer *, doublereal *, integer *, doublereal *, doublereal *, doublereal *, doublereal *, integer *), dget54_( integer *, doublereal *, integer *, doublereal *, integer *, doublereal *, integer *, doublereal *, integer *, doublereal *, integer *, doublereal *, integer *, doublereal *, doublereal *), dgges_(char *, char *, char *, L_fp, integer *, doublereal *, integer *, doublereal *, integer *, integer *, doublereal *, doublereal *, doublereal *, doublereal *, integer *, doublereal *, integer *, doublereal *, integer *, logical *, integer *); static integer iinfo; static doublereal rmagn[4]; static integer nmats, jsize, nerrs, jtype, ntest, isort; extern /* Subroutine */ int dlatm4_(integer *, integer *, integer *, integer *, integer *, doublereal *, doublereal *, doublereal *, integer *, integer *, doublereal *, integer *), dorm2r_(char *, char *, integer *, integer *, integer *, doublereal *, integer *, doublereal *, doublereal *, integer *, doublereal *, integer *), dlabad_(doublereal *, doublereal *); static logical ilabad; extern doublereal dlamch_(char *); extern /* Subroutine */ int dlarfg_(integer *, doublereal *, doublereal *, integer *, doublereal *); extern doublereal dlarnd_(integer *, integer *); extern /* Subroutine */ int dlacpy_(char *, integer *, integer *, doublereal *, integer *, doublereal *, integer *); static doublereal safmin; static integer ioldsd[4]; static doublereal safmax; static integer knteig; extern logical dlctes_(doublereal *, doublereal *, doublereal *); extern integer ilaenv_(integer *, char *, char *, integer *, integer *, integer *, integer * , ftnlen, ftnlen); extern /* Subroutine */ int alasvm_(char *, integer *, integer *, integer *, integer *), dlaset_(char *, integer *, integer *, doublereal *, doublereal *, doublereal *, integer *), xerbla_(char *, integer *); static integer minwrk, maxwrk; static doublereal ulpinv; static integer mtypes, ntestt; /* Fortran I/O blocks */ static cilist io___40 = { 0, 0, 0, fmt_9999, 0 }; static cilist io___46 = { 0, 0, 0, fmt_9999, 0 }; static cilist io___52 = { 0, 0, 0, fmt_9998, 0 }; static cilist io___53 = { 0, 0, 0, fmt_9997, 0 }; static cilist io___55 = { 0, 0, 0, fmt_9996, 0 }; static cilist io___56 = { 0, 0, 0, fmt_9995, 0 }; static cilist io___57 = { 0, 0, 0, fmt_9994, 0 }; static cilist io___58 = { 0, 0, 0, fmt_9993, 0 }; static cilist io___59 = { 0, 0, 0, fmt_9992, 0 }; static cilist io___60 = { 0, 0, 0, fmt_9991, 0 }; static cilist io___61 = { 0, 0, 0, fmt_9990, 0 }; /* -- LAPACK test routine (version 3.1) -- Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. November 2006 Purpose ======= DDRGES checks the nonsymmetric generalized eigenvalue (Schur form) problem driver DGGES. DGGES 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 (block upper triangular, with 1x1 and 2x2 blocks on the diagonal, the 2x2 blocks corresponding to complex conjugate pairs of generalized eigenvalues), and Q and Z are orthogonal. 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 DDRGES 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. quasi-triangular form) (no sorting of eigenvalues) (6) if eigenvalues = diagonal blocks of the Schur form (S, T), i.e., test the maximum over j of D(j) where: if alpha(j) is real: |alpha(j) - S(j,j)| |beta(j) - T(j,j)| D(j) = ------------------------ + ----------------------- max(|alpha(j)|,|S(j,j)|) max(|beta(j)|,|T(j,j)|) if alpha(j) is complex: | det( s S - w T ) | D(j) = --------------------------------------------------- ulp max( s norm(S), |w| norm(T) )*norm( s S - w T ) and S and T are here the 2 x 2 diagonal blocks of S and T corresponding to the j-th and j+1-th eigenvalues. (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 blocks of the Schur form (S, T), i.e. test the maximum over j of D(j) where: if alpha(j) is real: |alpha(j) - S(j,j)| |beta(j) - T(j,j)| D(j) = ------------------------ + ----------------------- max(|alpha(j)|,|S(j,j)|) max(|beta(j)|,|T(j,j)|) if alpha(j) is complex: | det( s S - w T ) | D(j) = --------------------------------------------------- ulp max( s norm(S), |w| norm(T) )*norm( s S - w T ) and S and T are here the 2 x 2 diagonal blocks of S and T corresponding to the j-th and j+1-th eigenvalues. (with sorting of eigenvalues). (12) if sorting worked and SDIM is the number of eigenvalues which were SELECTed. 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) DOUBLE PRECISION 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) DOUBLE PRECISION 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) DOUBLE PRECISION array, dimension (LDA, max(NN)) The Schur form matrix computed from A by DGGES. On exit, S contains the Schur form matrix corresponding to the matrix in A. T (workspace) DOUBLE PRECISION array, dimension (LDA, max(NN)) The upper triangular matrix computed from B by DGGES. Q (workspace) DOUBLE PRECISION array, dimension (LDQ, max(NN)) The (left) orthogonal matrix computed by DGGES. LDQ (input) INTEGER The leading dimension of Q and Z. It must be at least 1 and at least max( NN ). Z (workspace) DOUBLE PRECISION array, dimension( LDQ, max(NN) ) The (right) orthogonal matrix computed by DGGES. ALPHAR (workspace) DOUBLE PRECISION array, dimension (max(NN)) ALPHAI (workspace) DOUBLE PRECISION array, dimension (max(NN)) BETA (workspace) DOUBLE PRECISION array, dimension (max(NN)) The generalized eigenvalues of (A,B) computed by DGGES. ( ALPHAR(k)+ALPHAI(k)*i ) / BETA(k) is the k-th generalized eigenvalue of A and B. WORK (workspace) DOUBLE PRECISION array, dimension (LWORK) LWORK (input) INTEGER The dimension of the array WORK. LWORK >= MAX( 10*(N+1), 3*N*N ), where N is the largest matrix dimension. 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. ===================================================================== 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; --alphar; --alphai; --beta; --work; --result; --bwork; /* 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; } /* 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) { /* Computing MAX */ i__1 = (nmax + 1) * 10, i__2 = nmax * 3 * nmax; minwrk = max(i__1,i__2); /* Computing MAX */ i__1 = 1, i__2 = ilaenv_(&c__1, "DGEQRF", " ", &nmax, &nmax, &c_n1, & c_n1, (ftnlen)6, (ftnlen)1), i__1 = max(i__1,i__2), i__2 = ilaenv_(&c__1, "DORMQR", "LT", &nmax, &nmax, &nmax, &c_n1, ( ftnlen)6, (ftnlen)2), i__1 = max(i__1,i__2), i__2 = ilaenv_(& c__1, "DORGQR", " ", &nmax, &nmax, &nmax, &c_n1, (ftnlen)6, ( ftnlen)1); nb = max(i__1,i__2); /* Computing MAX */ i__1 = (nmax + 1) * 10, i__2 = (nmax << 1) + nmax * nb, i__1 = max( i__1,i__2), i__2 = nmax * 3 * nmax; maxwrk = max(i__1,i__2); work[1] = (doublereal) maxwrk; } if (*lwork < minwrk) { *info = -20; } if (*info != 0) { i__1 = -(*info); xerbla_("DDRGES", &i__1); return 0; } /* Quick return if possible */ if (*nsizes == 0 || *ntypes == 0) { return 0; } safmin = dlamch_("Safe minimum"); ulp = dlamch_("Epsilon") * dlamch_("Base"); 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 DLATM4 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. IASIGN: 1 if the diagonal elements of A are to be multiplied by a random magnitude 1 number, =2 if randomly chosen diagonal blocks are to be rotated to form 2x2 blocks. 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) { dlaset_("Full", &n, &n, &c_b26, &c_b26, &a[a_offset], lda); } } else { in = n; } dlatm4_(&katype[jtype - 1], &in, &kz1[kazero[jtype - 1] - 1], &kz2[kazero[jtype - 1] - 1], &iasign[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) { a[iadd + iadd * a_dim1] = 1.; } /* Generate B (w/o rotation) */ if ((i__3 = kbtype[jtype - 1], abs(i__3)) == 3) { in = ((n - 1) / 2 << 1) + 1; if (in != n) { dlaset_("Full", &n, &n, &c_b26, &c_b26, &b[b_offset], lda); } } else { in = n; } dlatm4_(&kbtype[jtype - 1], &in, &kz1[kbzero[jtype - 1] - 1], &kz2[kbzero[jtype - 1] - 1], &ibsign[jtype - 1], & rmagn[kbmagn[jtype - 1]], &c_b32, &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) { b[iadd + iadd * b_dim1] = 1.; } 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) { q[jr + jc * q_dim1] = dlarnd_(&c__3, &iseed[1]); z__[jr + jc * z_dim1] = dlarnd_(&c__3, &iseed[1]); /* L40: */ } i__4 = n + 1 - jc; dlarfg_(&i__4, &q[jc + jc * q_dim1], &q[jc + 1 + jc * q_dim1], &c__1, &work[jc]); work[(n << 1) + jc] = d_sign(&c_b32, &q[jc + jc * q_dim1]); q[jc + jc * q_dim1] = 1.; i__4 = n + 1 - jc; dlarfg_(&i__4, &z__[jc + jc * z_dim1], &z__[jc + 1 + jc * z_dim1], &c__1, &work[n + jc]); work[n * 3 + jc] = d_sign(&c_b32, &z__[jc + jc * z_dim1]); z__[jc + jc * z_dim1] = 1.; /* L50: */ } q[n + n * q_dim1] = 1.; work[n] = 0.; d__1 = dlarnd_(&c__2, &iseed[1]); work[n * 3] = d_sign(&c_b32, &d__1); z__[n + n * z_dim1] = 1.; work[n * 2] = 0.; d__1 = dlarnd_(&c__2, &iseed[1]); work[n * 4] = d_sign(&c_b32, &d__1); /* Apply the diagonal matrices */ i__3 = n; for (jc = 1; jc <= i__3; ++jc) { i__4 = n; for (jr = 1; jr <= i__4; ++jr) { a[jr + jc * a_dim1] = work[(n << 1) + jr] * work[ n * 3 + jc] * a[jr + jc * a_dim1]; b[jr + jc * b_dim1] = work[(n << 1) + jr] * work[ n * 3 + jc] * b[jr + jc * b_dim1]; /* L60: */ } /* L70: */ } i__3 = n - 1; dorm2r_("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; dorm2r_("R", "T", &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; dorm2r_("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; dorm2r_("R", "T", &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) { a[jr + jc * a_dim1] = rmagn[kamagn[jtype - 1]] * dlarnd_(&c__2, &iseed[1]); b[jr + jc * b_dim1] = rmagn[kbmagn[jtype - 1]] * dlarnd_(&c__2, &iseed[1]); /* L80: */ } /* L90: */ } } L100: if (iinfo != 0) { io___40.ciunit = *nounit; s_wsfe(&io___40); do_fio(&c__1, "Generator", (ftnlen)9); do_fio(&c__1, (char *)&iinfo, (ftnlen)sizeof(integer)); do_fio(&c__1, (char *)&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 DGGES to compute H, T, Q, Z, alpha, and beta. */ dlacpy_("Full", &n, &n, &a[a_offset], lda, &s[s_offset], lda); dlacpy_("Full", &n, &n, &b[b_offset], lda, &t[t_offset], lda); ntest = rsub + 1 + isort; result[rsub + 1 + isort] = ulpinv; dgges_("V", "V", sort, (L_fp)dlctes_, &n, &s[s_offset], lda, & t[t_offset], lda, &sdim, &alphar[1], &alphai[1], & beta[1], &q[q_offset], ldq, &z__[z_offset], ldq, & work[1], lwork, &bwork[1], &iinfo); if (iinfo != 0 && iinfo != n + 2) { result[rsub + 1 + isort] = ulpinv; io___46.ciunit = *nounit; s_wsfe(&io___46); do_fio(&c__1, "DGGES", (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) { dget51_(&c__1, &n, &a[a_offset], lda, &s[s_offset], lda, & q[q_offset], ldq, &z__[z_offset], ldq, &work[1], & result[1]); dget51_(&c__1, &n, &b[b_offset], lda, &t[t_offset], lda, & q[q_offset], ldq, &z__[z_offset], ldq, &work[1], & result[2]); } else { dget54_(&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[7]); } dget51_(&c__3, &n, &a[a_offset], lda, &t[t_offset], lda, &q[ q_offset], ldq, &q[q_offset], ldq, &work[1], &result[ rsub + 3]); dget51_(&c__3, &n, &b[b_offset], lda, &t[t_offset], lda, &z__[ z_offset], ldq, &z__[z_offset], ldq, &work[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_; if (alphai[j] == 0.) { /* Computing MAX */ d__7 = safmin, d__8 = (d__2 = alphar[j], abs(d__2)), d__7 = max(d__7,d__8), d__8 = (d__3 = s[j + j * s_dim1], abs(d__3)); /* Computing MAX */ d__9 = safmin, d__10 = (d__5 = beta[j], abs(d__5)), d__9 = max(d__9,d__10), d__10 = (d__6 = t[j + j * t_dim1], abs(d__6)); temp2 = ((d__1 = alphar[j] - s[j + j * s_dim1], abs( d__1)) / max(d__7,d__8) + (d__4 = beta[j] - t[ j + j * t_dim1], abs(d__4)) / max(d__9,d__10)) / ulp; if (j < n) { if (s[j + 1 + j * s_dim1] != 0.) { ilabad = TRUE_; result[rsub + 5] = ulpinv; } } if (j > 1) { if (s[j + (j - 1) * s_dim1] != 0.) { ilabad = TRUE_; result[rsub + 5] = ulpinv; } } } else { if (alphai[j] > 0.) { i1 = j; } else { i1 = j - 1; } if (i1 <= 0 || i1 >= n) { ilabad = TRUE_; } else if (i1 < n - 1) { if (s[i1 + 2 + (i1 + 1) * s_dim1] != 0.) { ilabad = TRUE_; result[rsub + 5] = ulpinv; } } else if (i1 > 1) { if (s[i1 + (i1 - 1) * s_dim1] != 0.) { ilabad = TRUE_; result[rsub + 5] = ulpinv; } } if (! ilabad) { dget53_(&s[i1 + i1 * s_dim1], lda, &t[i1 + i1 * t_dim1], lda, &beta[j], &alphar[j], & alphai[j], &temp2, &ierr); if (ierr >= 3) { io___52.ciunit = *nounit; s_wsfe(&io___52); do_fio(&c__1, (char *)&ierr, (ftnlen)sizeof( integer)); 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(); *info = abs(ierr); } } else { temp2 = ulpinv; } } temp1 = max(temp1,temp2); if (ilabad) { io___53.ciunit = *nounit; s_wsfe(&io___53); 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__) { d__1 = -alphai[i__]; if (dlctes_(&alphar[i__], &alphai[i__], &beta[i__]) || dlctes_(&alphar[i__], &d__1, &beta[i__])) { ++knteig; } if (i__ < n) { d__1 = -alphai[i__ + 1]; d__2 = -alphai[i__]; if ((dlctes_(&alphar[i__ + 1], &alphai[i__ + 1], & beta[i__ + 1]) || dlctes_(&alphar[i__ + 1] , &d__1, &beta[i__ + 1])) && ! (dlctes_(& alphar[i__], &alphai[i__], &beta[i__]) || dlctes_(&alphar[i__], &d__2, &beta[i__])) && iinfo != n + 2) { result[12] = ulpinv; } } /* L140: */ } if (sdim != knteig) { result[12] = 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___55.ciunit = *nounit; s_wsfe(&io___55); do_fio(&c__1, "DGS", (ftnlen)3); e_wsfe(); /* Matrix types */ io___56.ciunit = *nounit; s_wsfe(&io___56); e_wsfe(); io___57.ciunit = *nounit; s_wsfe(&io___57); e_wsfe(); io___58.ciunit = *nounit; s_wsfe(&io___58); do_fio(&c__1, "Orthogonal", (ftnlen)10); e_wsfe(); /* Tests performed */ io___59.ciunit = *nounit; s_wsfe(&io___59); do_fio(&c__1, "orthogonal", (ftnlen)10); 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___60.ciunit = *nounit; s_wsfe(&io___60); 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___61.ciunit = *nounit; s_wsfe(&io___61); 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_("DGS", nounit, &nerrs, &ntestt, &c__0); work[1] = (doublereal) maxwrk; return 0; /* End of DDRGES */ } /* ddrges_ */