LAPACK
3.4.2
LAPACK: Linear Algebra PACKage

Functions/Subroutines  
subroutine  sbdt01 (M, N, KD, A, LDA, Q, LDQ, D, E, PT, LDPT, WORK, RESID) 
SBDT01  
subroutine  sbdt02 (M, N, B, LDB, C, LDC, U, LDU, WORK, RESID) 
SBDT02  
subroutine  sbdt03 (UPLO, N, KD, D, E, U, LDU, S, VT, LDVT, WORK, RESID) 
SBDT03  
subroutine  schkbb (NSIZES, MVAL, NVAL, NWDTHS, KK, NTYPES, DOTYPE, NRHS, ISEED, THRESH, NOUNIT, A, LDA, AB, LDAB, BD, BE, Q, LDQ, P, LDP, C, LDC, CC, WORK, LWORK, RESULT, INFO) 
SCHKBB  
subroutine  schkbd (NSIZES, MVAL, NVAL, NTYPES, DOTYPE, NRHS, ISEED, THRESH, A, LDA, BD, BE, S1, S2, X, LDX, Y, Z, Q, LDQ, PT, LDPT, U, VT, WORK, LWORK, IWORK, NOUT, INFO) 
SCHKBD  
subroutine  schkbk (NIN, NOUT) 
SCHKBK  
subroutine  schkbl (NIN, NOUT) 
SCHKBL  
subroutine  schkec (THRESH, TSTERR, NIN, NOUT) 
SCHKEC  
program  schkee 
SCHKEE  
subroutine  schkgg (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, TSTDIF, THRSHN, NOUNIT, A, LDA, B, H, T, S1, S2, P1, P2, U, LDU, V, Q, Z, ALPHR1, ALPHI1, BETA1, ALPHR3, ALPHI3, BETA3, EVECTL, EVECTR, WORK, LWORK, LLWORK, RESULT, INFO) 
SCHKGG  
subroutine  schkgk (NIN, NOUT) 
SCHKGK  
subroutine  schkgl (NIN, NOUT) 
SCHKGL  
subroutine  schkhs (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, NOUNIT, A, LDA, H, T1, T2, U, LDU, Z, UZ, WR1, WI1, WR3, WI3, EVECTL, EVECTR, EVECTY, EVECTX, UU, TAU, WORK, NWORK, IWORK, SELECT, RESULT, INFO) 
SCHKHS  
subroutine  schksb (NSIZES, NN, NWDTHS, KK, NTYPES, DOTYPE, ISEED, THRESH, NOUNIT, A, LDA, SD, SE, U, LDU, WORK, LWORK, RESULT, INFO) 
SCHKSB  
subroutine  schkst (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, NOUNIT, A, LDA, AP, SD, SE, D1, D2, D3, D4, D5, WA1, WA2, WA3, WR, U, LDU, V, VP, TAU, Z, WORK, LWORK, IWORK, LIWORK, RESULT, INFO) 
SCHKST  
subroutine  sckcsd (NM, MVAL, PVAL, QVAL, NMATS, ISEED, THRESH, MMAX, X, XF, U1, U2, V1T, V2T, THETA, IWORK, WORK, RWORK, NIN, NOUT, INFO) 
SCKCSD  
subroutine  sckglm (NN, MVAL, PVAL, NVAL, NMATS, ISEED, THRESH, NMAX, A, AF, B, BF, X, WORK, RWORK, NIN, NOUT, INFO) 
SCKGLM  
subroutine  sckgqr (NM, MVAL, NP, PVAL, NN, NVAL, NMATS, ISEED, THRESH, NMAX, A, AF, AQ, AR, TAUA, B, BF, BZ, BT, BWK, TAUB, WORK, RWORK, NIN, NOUT, INFO) 
SCKGQR  
subroutine  sckgsv (NM, MVAL, PVAL, NVAL, NMATS, ISEED, THRESH, NMAX, A, AF, B, BF, U, V, Q, ALPHA, BETA, R, IWORK, WORK, RWORK, NIN, NOUT, INFO) 
SCKGSV  
subroutine  scklse (NN, MVAL, PVAL, NVAL, NMATS, ISEED, THRESH, NMAX, A, AF, B, BF, X, WORK, RWORK, NIN, NOUT, INFO) 
SCKLSE  
subroutine  scsdts (M, P, Q, X, XF, LDX, U1, LDU1, U2, LDU2, V1T, LDV1T, V2T, LDV2T, THETA, IWORK, WORK, LWORK, RWORK, RESULT) 
SCSDTS  
subroutine  sdrges (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, NOUNIT, A, LDA, B, S, T, Q, LDQ, Z, ALPHAR, ALPHAI, BETA, WORK, LWORK, RESULT, BWORK, INFO) 
SDRGES  
subroutine  sdrgev (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, NOUNIT, A, LDA, B, S, T, Q, LDQ, Z, QE, LDQE, ALPHAR, ALPHAI, BETA, ALPHR1, ALPHI1, BETA1, WORK, LWORK, RESULT, INFO) 
SDRGEV  
subroutine  sdrgsx (NSIZE, NCMAX, THRESH, NIN, NOUT, A, LDA, B, AI, BI, Z, Q, ALPHAR, ALPHAI, BETA, C, LDC, S, WORK, LWORK, IWORK, LIWORK, BWORK, INFO) 
SDRGSX  
subroutine  sdrgvx (NSIZE, THRESH, NIN, NOUT, A, LDA, B, AI, BI, ALPHAR, ALPHAI, BETA, VL, VR, ILO, IHI, LSCALE, RSCALE, S, STRU, DIF, DIFTRU, WORK, LWORK, IWORK, LIWORK, RESULT, BWORK, INFO) 
SDRGVX  
subroutine  sdrvbd (NSIZES, MM, NN, NTYPES, DOTYPE, ISEED, THRESH, A, LDA, U, LDU, VT, LDVT, ASAV, USAV, VTSAV, S, SSAV, E, WORK, LWORK, IWORK, NOUT, INFO) 
SDRVBD  
subroutine  sdrves (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, NOUNIT, A, LDA, H, HT, WR, WI, WRT, WIT, VS, LDVS, RESULT, WORK, NWORK, IWORK, BWORK, INFO) 
SDRVES  
subroutine  sdrvev (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, NOUNIT, A, LDA, H, WR, WI, WR1, WI1, VL, LDVL, VR, LDVR, LRE, LDLRE, RESULT, WORK, NWORK, IWORK, INFO) 
SDRVEV  
subroutine  sdrvgg (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, THRSHN, NOUNIT, A, LDA, B, S, T, S2, T2, Q, LDQ, Z, ALPHR1, ALPHI1, BETA1, ALPHR2, ALPHI2, BETA2, VL, VR, WORK, LWORK, RESULT, INFO) 
SDRVGG  
subroutine  sdrvsg (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, NOUNIT, A, LDA, B, LDB, D, Z, LDZ, AB, BB, AP, BP, WORK, NWORK, IWORK, LIWORK, RESULT, INFO) 
SDRVSG  
subroutine  sdrvst (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, NOUNIT, A, LDA, D1, D2, D3, D4, EVEIGS, WA1, WA2, WA3, U, LDU, V, TAU, Z, WORK, LWORK, IWORK, LIWORK, RESULT, INFO) 
SDRVST  
subroutine  sdrvsx (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, NIUNIT, NOUNIT, A, LDA, H, HT, WR, WI, WRT, WIT, WRTMP, WITMP, VS, LDVS, VS1, RESULT, WORK, LWORK, IWORK, BWORK, INFO) 
SDRVSX  
subroutine  sdrvvx (NSIZES, NN, NTYPES, DOTYPE, ISEED, THRESH, NIUNIT, NOUNIT, A, LDA, H, WR, WI, WR1, WI1, VL, LDVL, VR, LDVR, LRE, LDLRE, RCONDV, RCNDV1, RCDVIN, RCONDE, RCNDE1, RCDEIN, SCALE, SCALE1, RESULT, WORK, NWORK, IWORK, INFO) 
SDRVVX  
subroutine  serrbd (PATH, NUNIT) 
SERRBD  
subroutine  serrec (PATH, NUNIT) 
SERREC  
subroutine  serred (PATH, NUNIT) 
SERRED  
subroutine  serrgg (PATH, NUNIT) 
SERRGG  
subroutine  serrhs (PATH, NUNIT) 
SERRHS  
subroutine  serrst (PATH, NUNIT) 
SERRST  
subroutine  sget02 (TRANS, M, N, NRHS, A, LDA, X, LDX, B, LDB, RWORK, RESID) 
SGET02  
subroutine  sget10 (M, N, A, LDA, B, LDB, WORK, RESULT) 
SGET10  
subroutine  sget22 (TRANSA, TRANSE, TRANSW, N, A, LDA, E, LDE, WR, WI, WORK, RESULT) 
SGET22  
subroutine  sget23 (COMP, BALANC, JTYPE, THRESH, ISEED, NOUNIT, N, A, LDA, H, WR, WI, WR1, WI1, VL, LDVL, VR, LDVR, LRE, LDLRE, RCONDV, RCNDV1, RCDVIN, RCONDE, RCNDE1, RCDEIN, SCALE, SCALE1, RESULT, WORK, LWORK, IWORK, INFO) 
SGET23  
subroutine  sget24 (COMP, JTYPE, THRESH, ISEED, NOUNIT, N, A, LDA, H, HT, WR, WI, WRT, WIT, WRTMP, WITMP, VS, LDVS, VS1, RCDEIN, RCDVIN, NSLCT, ISLCT, RESULT, WORK, LWORK, IWORK, BWORK, INFO) 
SGET24  
subroutine  sget31 (RMAX, LMAX, NINFO, KNT) 
SGET31  
subroutine  sget32 (RMAX, LMAX, NINFO, KNT) 
SGET32  
subroutine  sget33 (RMAX, LMAX, NINFO, KNT) 
SGET33  
subroutine  sget34 (RMAX, LMAX, NINFO, KNT) 
SGET34  
subroutine  sget35 (RMAX, LMAX, NINFO, KNT) 
SGET35  
subroutine  sget36 (RMAX, LMAX, NINFO, KNT, NIN) 
SGET36  
subroutine  sget37 (RMAX, LMAX, NINFO, KNT, NIN) 
SGET37  
subroutine  sget38 (RMAX, LMAX, NINFO, KNT, NIN) 
SGET38  
subroutine  sget39 (RMAX, LMAX, NINFO, KNT) 
SGET39  
subroutine  sget51 (ITYPE, N, A, LDA, B, LDB, U, LDU, V, LDV, WORK, RESULT) 
SGET51  
subroutine  sget52 (LEFT, N, A, LDA, B, LDB, E, LDE, ALPHAR, ALPHAI, BETA, WORK, RESULT) 
SGET52  
subroutine  sget53 (A, LDA, B, LDB, SCALE, WR, WI, RESULT, INFO) 
SGET53  
subroutine  sget54 (N, A, LDA, B, LDB, S, LDS, T, LDT, U, LDU, V, LDV, WORK, RESULT) 
SGET54  
subroutine  sglmts (N, M, P, A, AF, LDA, B, BF, LDB, D, DF, X, U, WORK, LWORK, RWORK, RESULT) 
SGLMTS  
subroutine  sgqrts (N, M, P, A, AF, Q, R, LDA, TAUA, B, BF, Z, T, BWK, LDB, TAUB, WORK, LWORK, RWORK, RESULT) 
SGQRTS  
subroutine  sgrqts (M, P, N, A, AF, Q, R, LDA, TAUA, B, BF, Z, T, BWK, LDB, TAUB, WORK, LWORK, RWORK, RESULT) 
SGRQTS  
subroutine  sgsvts (M, P, N, A, AF, LDA, B, BF, LDB, U, LDU, V, LDV, Q, LDQ, ALPHA, BETA, R, LDR, IWORK, WORK, LWORK, RWORK, RESULT) 
SGSVTS  
subroutine  shst01 (N, ILO, IHI, A, LDA, H, LDH, Q, LDQ, WORK, LWORK, RESULT) 
SHST01  
subroutine  slafts (TYPE, M, N, IMAT, NTESTS, RESULT, ISEED, THRESH, IOUNIT, IE) 
SLAFTS  
subroutine  slahd2 (IOUNIT, PATH) 
SLAHD2  
subroutine  slarfy (UPLO, N, V, INCV, TAU, C, LDC, WORK) 
SLARFY  
subroutine  slarhs (PATH, XTYPE, UPLO, TRANS, M, N, KL, KU, NRHS, A, LDA, X, LDX, B, LDB, ISEED, INFO) 
SLARHS  
subroutine  slatb9 (PATH, IMAT, M, P, N, TYPE, KLA, KUA, KLB, KUB, ANORM, BNORM, MODEA, MODEB, CNDNMA, CNDNMB, DISTA, DISTB) 
SLATB9  
subroutine  slatm4 (ITYPE, N, NZ1, NZ2, ISIGN, AMAGN, RCOND, TRIANG, IDIST, ISEED, A, LDA) 
SLATM4  
LOGICAL function  slctes (ZR, ZI, D) 
SLCTES  
LOGICAL function  slctsx (AR, AI, BETA) 
SLCTSX  
subroutine  slsets (M, P, N, A, AF, LDA, B, BF, LDB, C, CF, D, DF, X, WORK, LWORK, RWORK, RESULT) 
SLSETS  
subroutine  sort01 (ROWCOL, M, N, U, LDU, WORK, LWORK, RESID) 
SORT01  
subroutine  sort03 (RC, MU, MV, N, K, U, LDU, V, LDV, WORK, LWORK, RESULT, INFO) 
SORT03  
subroutine  ssbt21 (UPLO, N, KA, KS, A, LDA, D, E, U, LDU, WORK, RESULT) 
SSBT21  
subroutine  ssgt01 (ITYPE, UPLO, N, M, A, LDA, B, LDB, Z, LDZ, D, WORK, RESULT) 
SSGT01  
LOGICAL function  sslect (ZR, ZI) 
SSLECT  
subroutine  sspt21 (ITYPE, UPLO, N, KBAND, AP, D, E, U, LDU, VP, TAU, WORK, RESULT) 
SSPT21  
subroutine  sstech (N, A, B, EIG, TOL, WORK, INFO) 
SSTECH  
subroutine  sstect (N, A, B, SHIFT, NUM) 
SSTECT  
subroutine  sstt21 (N, KBAND, AD, AE, SD, SE, U, LDU, WORK, RESULT) 
SSTT21  
subroutine  sstt22 (N, M, KBAND, AD, AE, SD, SE, U, LDU, WORK, LDWORK, RESULT) 
SSTT22  
subroutine  ssvdch (N, S, E, SVD, TOL, INFO) 
SSVDCH  
subroutine  ssvdct (N, S, E, SHIFT, NUM) 
SSVDCT  
REAL function  ssxt1 (IJOB, D1, N1, D2, N2, ABSTOL, ULP, UNFL) 
SSXT1  
subroutine  ssyt21 (ITYPE, UPLO, N, KBAND, A, LDA, D, E, U, LDU, V, LDV, TAU, WORK, RESULT) 
SSYT21  
subroutine  ssyt22 (ITYPE, UPLO, N, M, KBAND, A, LDA, D, E, U, LDU, V, LDV, TAU, WORK, RESULT) 
SSYT22 
This is the group of real LAPACK TESTING EIG routines.
subroutine sbdt01  (  integer  M, 
integer  N,  
integer  KD,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldq, * )  Q,  
integer  LDQ,  
real, dimension( * )  D,  
real, dimension( * )  E,  
real, dimension( ldpt, * )  PT,  
integer  LDPT,  
real, dimension( * )  WORK,  
real  RESID  
) 
SBDT01
SBDT01 reconstructs a general matrix A from its bidiagonal form A = Q * B * P' where Q (m by min(m,n)) and P' (min(m,n) by n) are orthogonal matrices and B is bidiagonal. The test ratio to test the reduction is RESID = norm( A  Q * B * PT ) / ( n * norm(A) * EPS ) where PT = P' and EPS is the machine precision.
[in]  M  M is INTEGER The number of rows of the matrices A and Q. 
[in]  N  N is INTEGER The number of columns of the matrices A and P'. 
[in]  KD  KD is INTEGER If KD = 0, B is diagonal and the array E is not referenced. If KD = 1, the reduction was performed by xGEBRD; B is upper bidiagonal if M >= N, and lower bidiagonal if M < N. If KD = 1, the reduction was performed by xGBBRD; B is always upper bidiagonal. 
[in]  A  A is REAL array, dimension (LDA,N) The m by n matrix A. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M). 
[in]  Q  Q is REAL array, dimension (LDQ,N) The m by min(m,n) orthogonal matrix Q in the reduction A = Q * B * P'. 
[in]  LDQ  LDQ is INTEGER The leading dimension of the array Q. LDQ >= max(1,M). 
[in]  D  D is REAL array, dimension (min(M,N)) The diagonal elements of the bidiagonal matrix B. 
[in]  E  E is REAL array, dimension (min(M,N)1) The superdiagonal elements of the bidiagonal matrix B if m >= n, or the subdiagonal elements of B if m < n. 
[in]  PT  PT is REAL array, dimension (LDPT,N) The min(m,n) by n orthogonal matrix P' in the reduction A = Q * B * P'. 
[in]  LDPT  LDPT is INTEGER The leading dimension of the array PT. LDPT >= max(1,min(M,N)). 
[out]  WORK  WORK is REAL array, dimension (M+N) 
[out]  RESID  RESID is REAL The test ratio: norm(A  Q * B * P') / ( n * norm(A) * EPS ) 
Definition at line 140 of file sbdt01.f.
subroutine sbdt02  (  integer  M, 
integer  N,  
real, dimension( ldb, * )  B,  
integer  LDB,  
real, dimension( ldc, * )  C,  
integer  LDC,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( * )  WORK,  
real  RESID  
) 
SBDT02
SBDT02 tests the change of basis C = U' * B by computing the residual RESID = norm( B  U * C ) / ( max(m,n) * norm(B) * EPS ), where B and C are M by N matrices, U is an M by M orthogonal matrix, and EPS is the machine precision.
[in]  M  M is INTEGER The number of rows of the matrices B and C and the order of the matrix Q. 
[in]  N  N is INTEGER The number of columns of the matrices B and C. 
[in]  B  B is REAL array, dimension (LDB,N) The m by n matrix B. 
[in]  LDB  LDB is INTEGER The leading dimension of the array B. LDB >= max(1,M). 
[in]  C  C is REAL array, dimension (LDC,N) The m by n matrix C, assumed to contain U' * B. 
[in]  LDC  LDC is INTEGER The leading dimension of the array C. LDC >= max(1,M). 
[in]  U  U is REAL array, dimension (LDU,M) The m by m orthogonal matrix U. 
[in]  LDU  LDU is INTEGER The leading dimension of the array U. LDU >= max(1,M). 
[out]  WORK  WORK is REAL array, dimension (M) 
[out]  RESID  RESID is REAL RESID = norm( B  U * C ) / ( max(m,n) * norm(B) * EPS ), 
Definition at line 112 of file sbdt02.f.
subroutine sbdt03  (  character  UPLO, 
integer  N,  
integer  KD,  
real, dimension( * )  D,  
real, dimension( * )  E,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( * )  S,  
real, dimension( ldvt, * )  VT,  
integer  LDVT,  
real, dimension( * )  WORK,  
real  RESID  
) 
SBDT03
SBDT03 reconstructs a bidiagonal matrix B from its SVD: S = U' * B * V where U and V are orthogonal matrices and S is diagonal. The test ratio to test the singular value decomposition is RESID = norm( B  U * S * VT ) / ( n * norm(B) * EPS ) where VT = V' and EPS is the machine precision.
[in]  UPLO  UPLO is CHARACTER*1 Specifies whether the matrix B is upper or lower bidiagonal. = 'U': Upper bidiagonal = 'L': Lower bidiagonal 
[in]  N  N is INTEGER The order of the matrix B. 
[in]  KD  KD is INTEGER The bandwidth of the bidiagonal matrix B. If KD = 1, the matrix B is bidiagonal, and if KD = 0, B is diagonal and E is not referenced. If KD is greater than 1, it is assumed to be 1, and if KD is less than 0, it is assumed to be 0. 
[in]  D  D is REAL array, dimension (N) The n diagonal elements of the bidiagonal matrix B. 
[in]  E  E is REAL array, dimension (N1) The (n1) superdiagonal elements of the bidiagonal matrix B if UPLO = 'U', or the (n1) subdiagonal elements of B if UPLO = 'L'. 
[in]  U  U is REAL array, dimension (LDU,N) The n by n orthogonal matrix U in the reduction B = U'*A*P. 
[in]  LDU  LDU is INTEGER The leading dimension of the array U. LDU >= max(1,N) 
[in]  S  S is REAL array, dimension (N) The singular values from the SVD of B, sorted in decreasing order. 
[in]  VT  VT is REAL array, dimension (LDVT,N) The n by n orthogonal matrix V' in the reduction B = U * S * V'. 
[in]  LDVT  LDVT is INTEGER The leading dimension of the array VT. 
[out]  WORK  WORK is REAL array, dimension (2*N) 
[out]  RESID  RESID is REAL The test ratio: norm(B  U * S * V') / ( n * norm(A) * EPS ) 
Definition at line 135 of file sbdt03.f.
subroutine schkbb  (  integer  NSIZES, 
integer, dimension( * )  MVAL,  
integer, dimension( * )  NVAL,  
integer  NWDTHS,  
integer, dimension( * )  KK,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer  NRHS,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldab, * )  AB,  
integer  LDAB,  
real, dimension( * )  BD,  
real, dimension( * )  BE,  
real, dimension( ldq, * )  Q,  
integer  LDQ,  
real, dimension( ldp, * )  P,  
integer  LDP,  
real, dimension( ldc, * )  C,  
integer  LDC,  
real, dimension( ldc, * )  CC,  
real, dimension( * )  WORK,  
integer  LWORK,  
real, dimension( * )  RESULT,  
integer  INFO  
) 
SCHKBB
SCHKBB tests the reduction of a general real rectangular band matrix to bidiagonal form. SGBBRD factors a general band matrix A as Q B P* , where * means transpose, B is upper bidiagonal, and Q and P are orthogonal; SGBBRD can also overwrite a given matrix C with Q* C . For each pair of matrix dimensions (M,N) and each selected matrix type, an M by N matrix A and an M by NRHS matrix C are generated. The problem dimensions are as follows A: M x N Q: M x M P: N x N B: min(M,N) x min(M,N) C: M x NRHS For each generated matrix, 4 tests are performed: (1)  A  Q B PT  / ( A max(M,N) ulp ), PT = P' (2)  I  Q' Q  / ( M ulp ) (3)  I  PT PT'  / ( N ulp ) (4)  Y  Q' C  / ( Y max(M,NRHS) ulp ), where Y = Q' C. 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: The possible matrix types are (1) The zero matrix. (2) The identity matrix. (3) A diagonal matrix with evenly spaced entries 1, ..., ULP and random signs. (ULP = (first number larger than 1)  1 ) (4) A diagonal matrix with geometrically spaced entries 1, ..., ULP and random signs. (5) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP and random signs. (6) Same as (3), but multiplied by SQRT( overflow threshold ) (7) Same as (3), but multiplied by SQRT( underflow threshold ) (8) A matrix of the form U D V, where U and V are orthogonal and D has evenly spaced entries 1, ..., ULP with random signs on the diagonal. (9) A matrix of the form U D V, where U and V are orthogonal and D has geometrically spaced entries 1, ..., ULP with random signs on the diagonal. (10) A matrix of the form U D V, where U and V are orthogonal and D has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal. (11) Same as (8), but multiplied by SQRT( overflow threshold ) (12) Same as (8), but multiplied by SQRT( underflow threshold ) (13) Rectangular matrix with random entries chosen from (1,1). (14) Same as (13), but multiplied by SQRT( overflow threshold ) (15) Same as (13), but multiplied by SQRT( underflow threshold )
[in]  NSIZES  NSIZES is INTEGER The number of values of M and N contained in the vectors MVAL and NVAL. The matrix sizes are used in pairs (M,N). If NSIZES is zero, SCHKBB does nothing. NSIZES must be at least zero. 
[in]  MVAL  MVAL is INTEGER array, dimension (NSIZES) The values of the matrix row dimension M. 
[in]  NVAL  NVAL is INTEGER array, dimension (NSIZES) The values of the matrix column dimension N. 
[in]  NWDTHS  NWDTHS is INTEGER The number of bandwidths to use. If it is zero, SCHKBB does nothing. It must be at least zero. 
[in]  KK  KK is INTEGER array, dimension (NWDTHS) An array containing the bandwidths to be used for the band matrices. The values must be at least zero. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. If it is zero, SCHKBB 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. . 
[in]  DOTYPE  DOTYPE is 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. 
[in]  NRHS  NRHS is INTEGER The number of columns in the "righthand side" matrix C. If NRHS = 0, then the operations on the righthand side will not be tested. NRHS must be at least 0. 
[in,out]  ISEED  ISEED is 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 SCHKBB to continue the same random number sequence. 
[in]  THRESH  THRESH is 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. 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) 
[in,out]  A  A is REAL array, dimension (LDA, max(NN)) Used to hold the matrix A. 
[in]  LDA  LDA is INTEGER The leading dimension of A. It must be at least 1 and at least max( NN ). 
[out]  AB  AB is REAL array, dimension (LDAB, max(NN)) Used to hold A in band storage format. 
[in]  LDAB  LDAB is INTEGER The leading dimension of AB. It must be at least 2 (not 1!) and at least max( KK )+1. 
[out]  BD  BD is REAL array, dimension (max(NN)) Used to hold the diagonal of the bidiagonal matrix computed by SGBBRD. 
[out]  BE  BE is REAL array, dimension (max(NN)) Used to hold the offdiagonal of the bidiagonal matrix computed by SGBBRD. 
[out]  Q  Q is REAL array, dimension (LDQ, max(NN)) Used to hold the orthogonal matrix Q computed by SGBBRD. 
[in]  LDQ  LDQ is INTEGER The leading dimension of Q. It must be at least 1 and at least max( NN ). 
[out]  P  P is REAL array, dimension (LDP, max(NN)) Used to hold the orthogonal matrix P computed by SGBBRD. 
[in]  LDP  LDP is INTEGER The leading dimension of P. It must be at least 1 and at least max( NN ). 
[out]  C  C is REAL array, dimension (LDC, max(NN)) Used to hold the matrix C updated by SGBBRD. 
[in]  LDC  LDC is INTEGER The leading dimension of U. It must be at least 1 and at least max( NN ). 
[out]  CC  CC is REAL array, dimension (LDC, max(NN)) Used to hold a copy of the matrix C. 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The number of entries in WORK. This must be at least max( LDA+1, max(NN)+1 )*max(NN). 
[out]  RESULT  RESULT is REAL array, dimension (4) The values computed by the tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  INFO  INFO is INTEGER If 0, then everything ran OK.  Some Local Variables and Parameters:      ZERO, ONE Real 0 and 1. MAXTYP The number of types defined. NTEST The number of tests performed, or which can be performed so far, for the current matrix. NTESTT The total number of tests performed so far. NMAX Largest value in NN. NMATS The number of matrices generated so far. NERRS The number of tests which have exceeded THRESH so far. COND, IMODE Values to be passed to the matrix generators. ANORM Norm of A; passed to matrix generators. OVFL, UNFL Overflow and underflow thresholds. ULP, ULPINV Finest relative precision and its inverse. RTOVFL, RTUNFL Square roots of the previous 2 values. The following four arrays decode JTYPE: KTYPE(j) The general type (110) for type "j". KMODE(j) The MODE value to be passed to the matrix generator for type "j". KMAGN(j) The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) ) 
Definition at line 353 of file schkbb.f.
subroutine schkbd  (  integer  NSIZES, 
integer, dimension( * )  MVAL,  
integer, dimension( * )  NVAL,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer  NRHS,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( * )  BD,  
real, dimension( * )  BE,  
real, dimension( * )  S1,  
real, dimension( * )  S2,  
real, dimension( ldx, * )  X,  
integer  LDX,  
real, dimension( ldx, * )  Y,  
real, dimension( ldx, * )  Z,  
real, dimension( ldq, * )  Q,  
integer  LDQ,  
real, dimension( ldpt, * )  PT,  
integer  LDPT,  
real, dimension( ldpt, * )  U,  
real, dimension( ldpt, * )  VT,  
real, dimension( * )  WORK,  
integer  LWORK,  
integer, dimension( * )  IWORK,  
integer  NOUT,  
integer  INFO  
) 
SCHKBD
SCHKBD checks the singular value decomposition (SVD) routines. SGEBRD reduces a real general m by n matrix A to upper or lower bidiagonal form B by an orthogonal transformation: Q' * A * P = B (or A = Q * B * P'). The matrix B is upper bidiagonal if m >= n and lower bidiagonal if m < n. SORGBR generates the orthogonal matrices Q and P' from SGEBRD. Note that Q and P are not necessarily square. SBDSQR computes the singular value decomposition of the bidiagonal matrix B as B = U S V'. It is called three times to compute 1) B = U S1 V', where S1 is the diagonal matrix of singular values and the columns of the matrices U and V are the left and right singular vectors, respectively, of B. 2) Same as 1), but the singular values are stored in S2 and the singular vectors are not computed. 3) A = (UQ) S (P'V'), the SVD of the original matrix A. In addition, SBDSQR has an option to apply the left orthogonal matrix U to a matrix X, useful in least squares applications. SBDSDC computes the singular value decomposition of the bidiagonal matrix B as B = U S V' using divideandconquer. It is called twice to compute 1) B = U S1 V', where S1 is the diagonal matrix of singular values and the columns of the matrices U and V are the left and right singular vectors, respectively, of B. 2) Same as 1), but the singular values are stored in S2 and the singular vectors are not computed. For each pair of matrix dimensions (M,N) and each selected matrix type, an M by N matrix A and an M by NRHS matrix X are generated. The problem dimensions are as follows A: M x N Q: M x min(M,N) (but M x M if NRHS > 0) P: min(M,N) x N B: min(M,N) x min(M,N) U, V: min(M,N) x min(M,N) S1, S2 diagonal, order min(M,N) X: M x NRHS For each generated matrix, 14 tests are performed: Test SGEBRD and SORGBR (1)  A  Q B PT  / ( A max(M,N) ulp ), PT = P' (2)  I  Q' Q  / ( M ulp ) (3)  I  PT PT'  / ( N ulp ) Test SBDSQR on bidiagonal matrix B (4)  B  U S1 VT  / ( B min(M,N) ulp ), VT = V' (5)  Y  U Z  / ( Y max(min(M,N),k) ulp ), where Y = Q' X and Z = U' Y. (6)  I  U' U  / ( min(M,N) ulp ) (7)  I  VT VT'  / ( min(M,N) ulp ) (8) S1 contains min(M,N) nonnegative values in decreasing order. (Return 0 if true, 1/ULP if false.) (9)  S1  S2  / ( S1 ulp ), where S2 is computed without computing U and V. (10) 0 if the true singular values of B are within THRESH of those in S1. 2*THRESH if they are not. (Tested using SSVDCH) Test SBDSQR on matrix A (11)  A  (QU) S (VT PT)  / ( A max(M,N) ulp ) (12)  X  (QU) Z  / ( X max(M,k) ulp ) (13)  I  (QU)'(QU)  / ( M ulp ) (14)  I  (VT PT) (PT'VT')  / ( N ulp ) Test SBDSDC on bidiagonal matrix B (15)  B  U S1 VT  / ( B min(M,N) ulp ), VT = V' (16)  I  U' U  / ( min(M,N) ulp ) (17)  I  VT VT'  / ( min(M,N) ulp ) (18) S1 contains min(M,N) nonnegative values in decreasing order. (Return 0 if true, 1/ULP if false.) (19)  S1  S2  / ( S1 ulp ), where S2 is computed without computing U and V. The possible matrix types are (1) The zero matrix. (2) The identity matrix. (3) A diagonal matrix with evenly spaced entries 1, ..., ULP and random signs. (ULP = (first number larger than 1)  1 ) (4) A diagonal matrix with geometrically spaced entries 1, ..., ULP and random signs. (5) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP and random signs. (6) Same as (3), but multiplied by SQRT( overflow threshold ) (7) Same as (3), but multiplied by SQRT( underflow threshold ) (8) A matrix of the form U D V, where U and V are orthogonal and D has evenly spaced entries 1, ..., ULP with random signs on the diagonal. (9) A matrix of the form U D V, where U and V are orthogonal and D has geometrically spaced entries 1, ..., ULP with random signs on the diagonal. (10) A matrix of the form U D V, where U and V are orthogonal and D has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal. (11) Same as (8), but multiplied by SQRT( overflow threshold ) (12) Same as (8), but multiplied by SQRT( underflow threshold ) (13) Rectangular matrix with random entries chosen from (1,1). (14) Same as (13), but multiplied by SQRT( overflow threshold ) (15) Same as (13), but multiplied by SQRT( underflow threshold ) Special case: (16) A bidiagonal matrix with random entries chosen from a logarithmic distribution on [ulp^2,ulp^(2)] (I.e., each entry is e^x, where x is chosen uniformly on [ 2 log(ulp), 2 log(ulp) ] .) For *this* type: (a) SGEBRD is not called to reduce it to bidiagonal form. (b) the bidiagonal is min(M,N) x min(M,N); if M<N, the matrix will be lower bidiagonal, otherwise upper. (c) only tests 58 and 14 are performed. A subset of the full set of matrix types may be selected through the logical array DOTYPE.
[in]  NSIZES  NSIZES is INTEGER The number of values of M and N contained in the vectors MVAL and NVAL. The matrix sizes are used in pairs (M,N). 
[in]  MVAL  MVAL is INTEGER array, dimension (NM) The values of the matrix row dimension M. 
[in]  NVAL  NVAL is INTEGER array, dimension (NM) The values of the matrix column dimension N. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. If it is zero, SCHKBD 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 matrices are in A and B. This is only useful if DOTYPE(1:MAXTYP) is .FALSE. and DOTYPE(MAXTYP+1) is .TRUE. . 
[in]  DOTYPE  DOTYPE is LOGICAL array, dimension (NTYPES) If DOTYPE(j) is .TRUE., then for each size (m,n), a matrix 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. 
[in]  NRHS  NRHS is INTEGER The number of columns in the "righthand side" matrices X, Y, and Z, used in testing SBDSQR. If NRHS = 0, then the operations on the righthand side will not be tested. NRHS must be at least 0. 
[in,out]  ISEED  ISEED is 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 values of ISEED are changed on exit, and can be used in the next call to SCHKBD to continue the same random number sequence. 
[in]  THRESH  THRESH is REAL The threshold value for the test ratios. A result is included in the output file if RESULT >= THRESH. To have every test ratio printed, use THRESH = 0. Note that the expected value of the test ratios is O(1), so THRESH should be a reasonably small multiple of 1, e.g., 10 or 100. 
[out]  A  A is REAL array, dimension (LDA,NMAX) where NMAX is the maximum value of N in NVAL. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= max(1,MMAX), where MMAX is the maximum value of M in MVAL. 
[out]  BD  BD is REAL array, dimension (max(min(MVAL(j),NVAL(j)))) 
[out]  BE  BE is REAL array, dimension (max(min(MVAL(j),NVAL(j)))) 
[out]  S1  S1 is REAL array, dimension (max(min(MVAL(j),NVAL(j)))) 
[out]  S2  S2 is REAL array, dimension (max(min(MVAL(j),NVAL(j)))) 
[out]  X  X is REAL array, dimension (LDX,NRHS) 
[in]  LDX  LDX is INTEGER The leading dimension of the arrays X, Y, and Z. LDX >= max(1,MMAX) 
[out]  Y  Y is REAL array, dimension (LDX,NRHS) 
[out]  Z  Z is REAL array, dimension (LDX,NRHS) 
[out]  Q  Q is REAL array, dimension (LDQ,MMAX) 
[in]  LDQ  LDQ is INTEGER The leading dimension of the array Q. LDQ >= max(1,MMAX). 
[out]  PT  PT is REAL array, dimension (LDPT,NMAX) 
[in]  LDPT  LDPT is INTEGER The leading dimension of the arrays PT, U, and V. LDPT >= max(1, max(min(MVAL(j),NVAL(j)))). 
[out]  U  U is REAL array, dimension (LDPT,max(min(MVAL(j),NVAL(j)))) 
[out]  VT  VT is REAL array, dimension (LDPT,max(min(MVAL(j),NVAL(j)))) 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The number of entries in WORK. This must be at least 3(M+N) and M(M + max(M,N,k) + 1) + N*min(M,N) for all pairs (M,N)=(MM(j),NN(j)) 
[out]  IWORK  IWORK is INTEGER array, dimension at least 8*min(M,N) 
[in]  NOUT  NOUT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) 
[out]  INFO  INFO is INTEGER If 0, then everything ran OK. 1: NSIZES < 0 2: Some MM(j) < 0 3: Some NN(j) < 0 4: NTYPES < 0 6: NRHS < 0 8: THRESH < 0 11: LDA < 1 or LDA < MMAX, where MMAX is max( MM(j) ). 17: LDB < 1 or LDB < MMAX. 21: LDQ < 1 or LDQ < MMAX. 23: LDPT< 1 or LDPT< MNMAX. 27: LWORK too small. If SLATMR, SLATMS, SGEBRD, SORGBR, or SBDSQR, returns an error code, the absolute value of it is returned.  Some Local Variables and Parameters:      ZERO, ONE Real 0 and 1. MAXTYP The number of types defined. NTEST The number of tests performed, or which can be performed so far, for the current matrix. MMAX Largest value in NN. NMAX Largest value in NN. MNMIN min(MM(j), NN(j)) (the dimension of the bidiagonal matrix.) MNMAX The maximum value of MNMIN for j=1,...,NSIZES. NFAIL The number of tests which have exceeded THRESH COND, IMODE Values to be passed to the matrix generators. ANORM Norm of A; passed to matrix generators. OVFL, UNFL Overflow and underflow thresholds. RTOVFL, RTUNFL Square roots of the previous 2 values. ULP, ULPINV Finest relative precision and its inverse. The following four arrays decode JTYPE: KTYPE(j) The general type (110) for type "j". KMODE(j) The MODE value to be passed to the matrix generator for type "j". KMAGN(j) The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) ) 
Definition at line 434 of file schkbd.f.
subroutine schkbk  (  integer  NIN, 
integer  NOUT  
) 
SCHKBK
SCHKBK tests SGEBAK, a routine for backward transformation of the computed right or left eigenvectors if the orginal matrix was preprocessed by balance subroutine SGEBAL.
[in]  NIN  NIN is INTEGER The logical unit number for input. NIN > 0. 
[in]  NOUT  NOUT is INTEGER The logical unit number for output. NOUT > 0. 
Definition at line 56 of file schkbk.f.
subroutine schkbl  (  integer  NIN, 
integer  NOUT  
) 
SCHKBL
SCHKBL tests SGEBAL, a routine for balancing a general real matrix and isolating some of its eigenvalues.
[in]  NIN  NIN is INTEGER The logical unit number for input. NIN > 0. 
[in]  NOUT  NOUT is INTEGER The logical unit number for output. NOUT > 0. 
Definition at line 55 of file schkbl.f.
subroutine schkec  (  real  THRESH, 
logical  TSTERR,  
integer  NIN,  
integer  NOUT  
) 
SCHKEC
SCHKEC tests eigen condition estimation routines SLALN2, SLASY2, SLANV2, SLAQTR, SLAEXC, STRSYL, STREXC, STRSNA, STRSEN In all cases, the routine runs through a fixed set of numerical examples, subjects them to various tests, and compares the test results to a threshold THRESH. In addition, STREXC, STRSNA and STRSEN are tested by reading in precomputed examples from a file (on input unit NIN). Output is written to output unit NOUT.
[in]  THRESH  THRESH is REAL Threshold for residual tests. A computed test ratio passes the threshold if it is less than THRESH. 
[in]  TSTERR  TSTERR is LOGICAL Flag that indicates whether error exits are to be tested. 
[in]  NIN  NIN is INTEGER The logical unit number for input. 
[in]  NOUT  NOUT is INTEGER The logical unit number for output. 
Definition at line 77 of file schkec.f.
program schkee  (  ) 
SCHKEE
SCHKEE tests the REAL LAPACK subroutines for the matrix eigenvalue problem. The test paths in this version are NEP (Nonsymmetric Eigenvalue Problem): Test SGEHRD, SORGHR, SHSEQR, STREVC, SHSEIN, and SORMHR SEP (Symmetric Eigenvalue Problem): Test SSYTRD, SORGTR, SSTEQR, SSTERF, SSTEIN, SSTEDC, and drivers SSYEV(X), SSBEV(X), SSPEV(X), SSTEV(X), SSYEVD, SSBEVD, SSPEVD, SSTEVD SVD (Singular Value Decomposition): Test SGEBRD, SORGBR, SBDSQR, SBDSDC and the drivers SGESVD, SGESDD SEV (Nonsymmetric Eigenvalue/eigenvector Driver): Test SGEEV SES (Nonsymmetric Schur form Driver): Test SGEES SVX (Nonsymmetric Eigenvalue/eigenvector Expert Driver): Test SGEEVX SSX (Nonsymmetric Schur form Expert Driver): Test SGEESX SGG (Generalized Nonsymmetric Eigenvalue Problem): Test SGGHRD, SGGBAL, SGGBAK, SHGEQZ, and STGEVC and the driver routines SGEGS and SGEGV SGS (Generalized Nonsymmetric Schur form Driver): Test SGGES SGV (Generalized Nonsymmetric Eigenvalue/eigenvector Driver): Test SGGEV SGX (Generalized Nonsymmetric Schur form Expert Driver): Test SGGESX SXV (Generalized Nonsymmetric Eigenvalue/eigenvector Expert Driver): Test SGGEVX SSG (Symmetric Generalized Eigenvalue Problem): Test SSYGST, SSYGV, SSYGVD, SSYGVX, SSPGST, SSPGV, SSPGVD, SSPGVX, SSBGST, SSBGV, SSBGVD, and SSBGVX SSB (Symmetric Band Eigenvalue Problem): Test SSBTRD SBB (Band Singular Value Decomposition): Test SGBBRD SEC (Eigencondition estimation): Test SLALN2, SLASY2, SLAEQU, SLAEXC, STRSYL, STREXC, STRSNA, STRSEN, and SLAQTR SBL (Balancing a general matrix) Test SGEBAL SBK (Back transformation on a balanced matrix) Test SGEBAK SGL (Balancing a matrix pair) Test SGGBAL SGK (Back transformation on a matrix pair) Test SGGBAK GLM (Generalized Linear Regression Model): Tests SGGGLM GQR (Generalized QR and RQ factorizations): Tests SGGQRF and SGGRQF GSV (Generalized Singular Value Decomposition): Tests SGGSVD, SGGSVP, STGSJA, SLAGS2, SLAPLL, and SLAPMT CSD (CS decomposition): Tests SORCSD LSE (Constrained Linear Least Squares): Tests SGGLSE Each test path has a different set of inputs, but the data sets for the driver routines xEV, xES, xVX, and xSX can be concatenated in a single input file. The first line of input should contain one of the 3character path names in columns 13. The number of remaining lines depends on what is found on the first line. The number of matrix types used in testing is often controllable from the input file. The number of matrix types for each path, and the test routine that describes them, is as follows: Path name(s) Types Test routine SHS or NEP 21 SCHKHS SST or SEP 21 SCHKST (routines) 18 SDRVST (drivers) SBD or SVD 16 SCHKBD (routines) 5 SDRVBD (drivers) SEV 21 SDRVEV SES 21 SDRVES SVX 21 SDRVVX SSX 21 SDRVSX SGG 26 SCHKGG (routines) 26 SDRVGG (drivers) SGS 26 SDRGES SGX 5 SDRGSX SGV 26 SDRGEV SXV 2 SDRGVX SSG 21 SDRVSG SSB 15 SCHKSB SBB 15 SCHKBB SEC  SCHKEC SBL  SCHKBL SBK  SCHKBK SGL  SCHKGL SGK  SCHKGK GLM 8 SCKGLM GQR 8 SCKGQR GSV 8 SCKGSV CSD 3 SCKCSD LSE 8 SCKLSE  NEP input file: line 2: NN, INTEGER Number of values of N. line 3: NVAL, INTEGER array, dimension (NN) The values for the matrix dimension N. line 4: NPARMS, INTEGER Number of values of the parameters NB, NBMIN, NX, NS, and MAXB. line 5: NBVAL, INTEGER array, dimension (NPARMS) The values for the blocksize NB. line 6: NBMIN, INTEGER array, dimension (NPARMS) The values for the minimum blocksize NBMIN. line 7: NXVAL, INTEGER array, dimension (NPARMS) The values for the crossover point NX. line 8: INMIN, INTEGER array, dimension (NPARMS) LAHQR vs TTQRE crossover point, >= 11 line 9: INWIN, INTEGER array, dimension (NPARMS) recommended deflation window size line 10: INIBL, INTEGER array, dimension (NPARMS) nibble crossover point line 11: ISHFTS, INTEGER array, dimension (NPARMS) number of simultaneous shifts) line 12: IACC22, INTEGER array, dimension (NPARMS) select structured matrix multiply: 0, 1 or 2) line 13: THRESH Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. To have all of the test ratios printed, use THRESH = 0.0 . line 14: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 14 was 2: line 15: INTEGER array, dimension (4) Four integer values for the random number seed. lines 15EOF: The remaining lines occur in sets of 1 or 2 and allow the user to specify the matrix types. Each line contains a 3character path name in columns 13, and the number of matrix types must be the first nonblank item in columns 480. If the number of matrix types is at least 1 but is less than the maximum number of possible types, a second line will be read to get the numbers of the matrix types to be used. For example, NEP 21 requests all of the matrix types for the nonsymmetric eigenvalue problem, while NEP 4 9 10 11 12 requests only matrices of type 9, 10, 11, and 12. The valid 3character path names are 'NEP' or 'SHS' for the nonsymmetric eigenvalue routines.  SEP or SSG input file: line 2: NN, INTEGER Number of values of N. line 3: NVAL, INTEGER array, dimension (NN) The values for the matrix dimension N. line 4: NPARMS, INTEGER Number of values of the parameters NB, NBMIN, and NX. line 5: NBVAL, INTEGER array, dimension (NPARMS) The values for the blocksize NB. line 6: NBMIN, INTEGER array, dimension (NPARMS) The values for the minimum blocksize NBMIN. line 7: NXVAL, INTEGER array, dimension (NPARMS) The values for the crossover point NX. line 8: THRESH Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 9: TSTCHK, LOGICAL Flag indicating whether or not to test the LAPACK routines. line 10: TSTDRV, LOGICAL Flag indicating whether or not to test the driver routines. line 11: TSTERR, LOGICAL Flag indicating whether or not to test the error exits for the LAPACK routines and driver routines. line 12: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 12 was 2: line 13: INTEGER array, dimension (4) Four integer values for the random number seed. lines 13EOF: Lines specifying matrix types, as for NEP. The 3character path names are 'SEP' or 'SST' for the symmetric eigenvalue routines and driver routines, and 'SSG' for the routines for the symmetric generalized eigenvalue problem.  SVD input file: line 2: NN, INTEGER Number of values of M and N. line 3: MVAL, INTEGER array, dimension (NN) The values for the matrix row dimension M. line 4: NVAL, INTEGER array, dimension (NN) The values for the matrix column dimension N. line 5: NPARMS, INTEGER Number of values of the parameter NB, NBMIN, NX, and NRHS. line 6: NBVAL, INTEGER array, dimension (NPARMS) The values for the blocksize NB. line 7: NBMIN, INTEGER array, dimension (NPARMS) The values for the minimum blocksize NBMIN. line 8: NXVAL, INTEGER array, dimension (NPARMS) The values for the crossover point NX. line 9: NSVAL, INTEGER array, dimension (NPARMS) The values for the number of right hand sides NRHS. line 10: THRESH Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 11: TSTCHK, LOGICAL Flag indicating whether or not to test the LAPACK routines. line 12: TSTDRV, LOGICAL Flag indicating whether or not to test the driver routines. line 13: TSTERR, LOGICAL Flag indicating whether or not to test the error exits for the LAPACK routines and driver routines. line 14: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 14 was 2: line 15: INTEGER array, dimension (4) Four integer values for the random number seed. lines 15EOF: Lines specifying matrix types, as for NEP. The 3character path names are 'SVD' or 'SBD' for both the SVD routines and the SVD driver routines.  SEV and SES data files: line 1: 'SEV' or 'SES' in columns 1 to 3. line 2: NSIZES, INTEGER Number of sizes of matrices to use. Should be at least 0 and at most 20. If NSIZES = 0, no testing is done (although the remaining 3 lines are still read). line 3: NN, INTEGER array, dimension(NSIZES) Dimensions of matrices to be tested. line 4: NB, NBMIN, NX, NS, NBCOL, INTEGERs These integer parameters determine how blocking is done (see ILAENV for details) NB : block size NBMIN : minimum block size NX : minimum dimension for blocking NS : number of shifts in xHSEQR NBCOL : minimum column dimension for blocking line 5: THRESH, REAL The test threshold against which computed residuals are compared. Should generally be in the range from 10. to 20. If it is 0., all test case data will be printed. line 6: TSTERR, LOGICAL Flag indicating whether or not to test the error exits. line 7: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 7 was 2: line 8: INTEGER array, dimension (4) Four integer values for the random number seed. lines 9 and following: Lines specifying matrix types, as for NEP. The 3character path name is 'SEV' to test SGEEV, or 'SES' to test SGEES.  The SVX data has two parts. The first part is identical to SEV, and the second part consists of test matrices with precomputed solutions. line 1: 'SVX' in columns 13. line 2: NSIZES, INTEGER If NSIZES = 0, no testing of randomly generated examples is done, but any precomputed examples are tested. line 3: NN, INTEGER array, dimension(NSIZES) line 4: NB, NBMIN, NX, NS, NBCOL, INTEGERs line 5: THRESH, REAL line 6: TSTERR, LOGICAL line 7: NEWSD, INTEGER If line 7 was 2: line 8: INTEGER array, dimension (4) lines 9 and following: The first line contains 'SVX' in columns 13 followed by the number of matrix types, possibly with a second line to specify certain matrix types. If the number of matrix types = 0, no testing of randomly generated examples is done, but any precomputed examples are tested. remaining lines : Each matrix is stored on 1+2*N lines, where N is its dimension. The first line contains the dimension (a single integer). The next N lines contain the matrix, one row per line. The last N lines correspond to each eigenvalue. Each of these last N lines contains 4 real values: the real part of the eigenvalue, the imaginary part of the eigenvalue, the reciprocal condition number of the eigenvalues, and the reciprocal condition number of the eigenvector. The end of data is indicated by dimension N=0. Even if no data is to be tested, there must be at least one line containing N=0.  The SSX data is like SVX. The first part is identical to SEV, and the second part consists of test matrices with precomputed solutions. line 1: 'SSX' in columns 13. line 2: NSIZES, INTEGER If NSIZES = 0, no testing of randomly generated examples is done, but any precomputed examples are tested. line 3: NN, INTEGER array, dimension(NSIZES) line 4: NB, NBMIN, NX, NS, NBCOL, INTEGERs line 5: THRESH, REAL line 6: TSTERR, LOGICAL line 7: NEWSD, INTEGER If line 7 was 2: line 8: INTEGER array, dimension (4) lines 9 and following: The first line contains 'SSX' in columns 13 followed by the number of matrix types, possibly with a second line to specify certain matrix types. If the number of matrix types = 0, no testing of randomly generated examples is done, but any precomputed examples are tested. remaining lines : Each matrix is stored on 3+N lines, where N is its dimension. The first line contains the dimension N and the dimension M of an invariant subspace. The second line contains M integers, identifying the eigenvalues in the invariant subspace (by their position in a list of eigenvalues ordered by increasing real part). The next N lines contain the matrix. The last line contains the reciprocal condition number for the average of the selected eigenvalues, and the reciprocal condition number for the corresponding right invariant subspace. The end of data is indicated by a line containing N=0 and M=0. Even if no data is to be tested, there must be at least one line containing N=0 and M=0.  SGG input file: line 2: NN, INTEGER Number of values of N. line 3: NVAL, INTEGER array, dimension (NN) The values for the matrix dimension N. line 4: NPARMS, INTEGER Number of values of the parameters NB, NBMIN, NS, MAXB, and NBCOL. line 5: NBVAL, INTEGER array, dimension (NPARMS) The values for the blocksize NB. line 6: NBMIN, INTEGER array, dimension (NPARMS) The values for NBMIN, the minimum row dimension for blocks. line 7: NSVAL, INTEGER array, dimension (NPARMS) The values for the number of shifts. line 8: MXBVAL, INTEGER array, dimension (NPARMS) The values for MAXB, used in determining minimum blocksize. line 9: NBCOL, INTEGER array, dimension (NPARMS) The values for NBCOL, the minimum column dimension for blocks. line 10: THRESH Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 11: TSTCHK, LOGICAL Flag indicating whether or not to test the LAPACK routines. line 12: TSTDRV, LOGICAL Flag indicating whether or not to test the driver routines. line 13: TSTERR, LOGICAL Flag indicating whether or not to test the error exits for the LAPACK routines and driver routines. line 14: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 14 was 2: line 15: INTEGER array, dimension (4) Four integer values for the random number seed. lines 15EOF: Lines specifying matrix types, as for NEP. The 3character path name is 'SGG' for the generalized eigenvalue problem routines and driver routines.  SGS and SGV input files: line 1: 'SGS' or 'SGV' in columns 1 to 3. line 2: NN, INTEGER Number of values of N. line 3: NVAL, INTEGER array, dimension(NN) Dimensions of matrices to be tested. line 4: NB, NBMIN, NX, NS, NBCOL, INTEGERs These integer parameters determine how blocking is done (see ILAENV for details) NB : block size NBMIN : minimum block size NX : minimum dimension for blocking NS : number of shifts in xHGEQR NBCOL : minimum column dimension for blocking line 5: THRESH, REAL The test threshold against which computed residuals are compared. Should generally be in the range from 10. to 20. If it is 0., all test case data will be printed. line 6: TSTERR, LOGICAL Flag indicating whether or not to test the error exits. line 7: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 17 was 2: line 7: INTEGER array, dimension (4) Four integer values for the random number seed. lines 7EOF: Lines specifying matrix types, as for NEP. The 3character path name is 'SGS' for the generalized eigenvalue problem routines and driver routines.  SXV input files: line 1: 'SXV' in columns 1 to 3. line 2: N, INTEGER Value of N. line 3: NB, NBMIN, NX, NS, NBCOL, INTEGERs These integer parameters determine how blocking is done (see ILAENV for details) NB : block size NBMIN : minimum block size NX : minimum dimension for blocking NS : number of shifts in xHGEQR NBCOL : minimum column dimension for blocking line 4: THRESH, REAL The test threshold against which computed residuals are compared. Should generally be in the range from 10. to 20. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 5: TSTERR, LOGICAL Flag indicating whether or not to test the error exits for the LAPACK routines and driver routines. line 6: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 6 was 2: line 7: INTEGER array, dimension (4) Four integer values for the random number seed. If line 2 was 0: line 7EOF: Precomputed examples are tested. remaining lines : Each example is stored on 3+2*N lines, where N is its dimension. The first line contains the dimension (a single integer). The next N lines contain the matrix A, one row per line. The next N lines contain the matrix B. The next line contains the reciprocals of the eigenvalue condition numbers. The last line contains the reciprocals of the eigenvector condition numbers. The end of data is indicated by dimension N=0. Even if no data is to be tested, there must be at least one line containing N=0.  SGX input files: line 1: 'SGX' in columns 1 to 3. line 2: N, INTEGER Value of N. line 3: NB, NBMIN, NX, NS, NBCOL, INTEGERs These integer parameters determine how blocking is done (see ILAENV for details) NB : block size NBMIN : minimum block size NX : minimum dimension for blocking NS : number of shifts in xHGEQR NBCOL : minimum column dimension for blocking line 4: THRESH, REAL The test threshold against which computed residuals are compared. Should generally be in the range from 10. to 20. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 5: TSTERR, LOGICAL Flag indicating whether or not to test the error exits for the LAPACK routines and driver routines. line 6: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 6 was 2: line 7: INTEGER array, dimension (4) Four integer values for the random number seed. If line 2 was 0: line 7EOF: Precomputed examples are tested. remaining lines : Each example is stored on 3+2*N lines, where N is its dimension. The first line contains the dimension (a single integer). The next line contains an integer k such that only the last k eigenvalues will be selected and appear in the leading diagonal blocks of $A$ and $B$. The next N lines contain the matrix A, one row per line. The next N lines contain the matrix B. The last line contains the reciprocal of the eigenvalue cluster condition number and the reciprocal of the deflating subspace (associated with the selected eigencluster) condition number. The end of data is indicated by dimension N=0. Even if no data is to be tested, there must be at least one line containing N=0.  SSB input file: line 2: NN, INTEGER Number of values of N. line 3: NVAL, INTEGER array, dimension (NN) The values for the matrix dimension N. line 4: NK, INTEGER Number of values of K. line 5: KVAL, INTEGER array, dimension (NK) The values for the matrix dimension K. line 6: THRESH Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 7: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 7 was 2: line 8: INTEGER array, dimension (4) Four integer values for the random number seed. lines 8EOF: Lines specifying matrix types, as for NEP. The 3character path name is 'SSB'.  SBB input file: line 2: NN, INTEGER Number of values of M and N. line 3: MVAL, INTEGER array, dimension (NN) The values for the matrix row dimension M. line 4: NVAL, INTEGER array, dimension (NN) The values for the matrix column dimension N. line 4: NK, INTEGER Number of values of K. line 5: KVAL, INTEGER array, dimension (NK) The values for the matrix bandwidth K. line 6: NPARMS, INTEGER Number of values of the parameter NRHS line 7: NSVAL, INTEGER array, dimension (NPARMS) The values for the number of right hand sides NRHS. line 8: THRESH Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 9: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 9 was 2: line 10: INTEGER array, dimension (4) Four integer values for the random number seed. lines 10EOF: Lines specifying matrix types, as for SVD. The 3character path name is 'SBB'.  SEC input file: line 2: THRESH, REAL Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. lines 3EOF: Input for testing the eigencondition routines consists of a set of specially constructed test cases and their solutions. The data format is not intended to be modified by the user.  SBL and SBK input files: line 1: 'SBL' in columns 13 to test SGEBAL, or 'SBK' in columns 13 to test SGEBAK. The remaining lines consist of specially constructed test cases.  SGL and SGK input files: line 1: 'SGL' in columns 13 to test SGGBAL, or 'SGK' in columns 13 to test SGGBAK. The remaining lines consist of specially constructed test cases.  GLM data file: line 1: 'GLM' in columns 1 to 3. line 2: NN, INTEGER Number of values of M, P, and N. line 3: MVAL, INTEGER array, dimension(NN) Values of M (row dimension). line 4: PVAL, INTEGER array, dimension(NN) Values of P (row dimension). line 5: NVAL, INTEGER array, dimension(NN) Values of N (column dimension), note M <= N <= M+P. line 6: THRESH, REAL Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 7: TSTERR, LOGICAL Flag indicating whether or not to test the error exits for the LAPACK routines and driver routines. line 8: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 8 was 2: line 9: INTEGER array, dimension (4) Four integer values for the random number seed. lines 9EOF: Lines specifying matrix types, as for NEP. The 3character path name is 'GLM' for the generalized linear regression model routines.  GQR data file: line 1: 'GQR' in columns 1 to 3. line 2: NN, INTEGER Number of values of M, P, and N. line 3: MVAL, INTEGER array, dimension(NN) Values of M. line 4: PVAL, INTEGER array, dimension(NN) Values of P. line 5: NVAL, INTEGER array, dimension(NN) Values of N. line 6: THRESH, REAL Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 7: TSTERR, LOGICAL Flag indicating whether or not to test the error exits for the LAPACK routines and driver routines. line 8: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 8 was 2: line 9: INTEGER array, dimension (4) Four integer values for the random number seed. lines 9EOF: Lines specifying matrix types, as for NEP. The 3character path name is 'GQR' for the generalized QR and RQ routines.  GSV data file: line 1: 'GSV' in columns 1 to 3. line 2: NN, INTEGER Number of values of M, P, and N. line 3: MVAL, INTEGER array, dimension(NN) Values of M (row dimension). line 4: PVAL, INTEGER array, dimension(NN) Values of P (row dimension). line 5: NVAL, INTEGER array, dimension(NN) Values of N (column dimension). line 6: THRESH, REAL Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 7: TSTERR, LOGICAL Flag indicating whether or not to test the error exits for the LAPACK routines and driver routines. line 8: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 8 was 2: line 9: INTEGER array, dimension (4) Four integer values for the random number seed. lines 9EOF: Lines specifying matrix types, as for NEP. The 3character path name is 'GSV' for the generalized SVD routines.  CSD data file: line 1: 'CSD' in columns 1 to 3. line 2: NM, INTEGER Number of values of M, P, and N. line 3: MVAL, INTEGER array, dimension(NM) Values of M (row and column dimension of orthogonal matrix). line 4: PVAL, INTEGER array, dimension(NM) Values of P (row dimension of topleft block). line 5: NVAL, INTEGER array, dimension(NM) Values of N (column dimension of topleft block). line 6: THRESH, REAL Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 7: TSTERR, LOGICAL Flag indicating whether or not to test the error exits for the LAPACK routines and driver routines. line 8: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 8 was 2: line 9: INTEGER array, dimension (4) Four integer values for the random number seed. lines 9EOF: Lines specifying matrix types, as for NEP. The 3character path name is 'CSD' for the CSD routine.  LSE data file: line 1: 'LSE' in columns 1 to 3. line 2: NN, INTEGER Number of values of M, P, and N. line 3: MVAL, INTEGER array, dimension(NN) Values of M. line 4: PVAL, INTEGER array, dimension(NN) Values of P. line 5: NVAL, INTEGER array, dimension(NN) Values of N, note P <= N <= P+M. line 6: THRESH, REAL Threshold value for the test ratios. Information will be printed about each test for which the test ratio is greater than or equal to the threshold. line 7: TSTERR, LOGICAL Flag indicating whether or not to test the error exits for the LAPACK routines and driver routines. line 8: NEWSD, INTEGER A code indicating how to set the random number seed. = 0: Set the seed to a default value before each run = 1: Initialize the seed to a default value only before the first run = 2: Like 1, but use the seed values on the next line If line 8 was 2: line 9: INTEGER array, dimension (4) Four integer values for the random number seed. lines 9EOF: Lines specifying matrix types, as for NEP. The 3character path name is 'GSV' for the generalized SVD routines.  NMAX is currently set to 132 and must be at least 12 for some of the precomputed examples, and LWORK = NMAX*(5*NMAX+5)+1 in the parameter statements below. For SVD, we assume NRHS may be as big as N. The parameter NEED is set to 14 to allow for 14 NbyN matrices for SGG.
Definition at line 1040 of file schkee.f.
subroutine schkgg  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
logical  TSTDIF,  
real  THRSHN,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  B,  
real, dimension( lda, * )  H,  
real, dimension( lda, * )  T,  
real, dimension( lda, * )  S1,  
real, dimension( lda, * )  S2,  
real, dimension( lda, * )  P1,  
real, dimension( lda, * )  P2,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldu, * )  V,  
real, dimension( ldu, * )  Q,  
real, dimension( ldu, * )  Z,  
real, dimension( * )  ALPHR1,  
real, dimension( * )  ALPHI1,  
real, dimension( * )  BETA1,  
real, dimension( * )  ALPHR3,  
real, dimension( * )  ALPHI3,  
real, dimension( * )  BETA3,  
real, dimension( ldu, * )  EVECTL,  
real, dimension( ldu, * )  EVECTR,  
real, dimension( * )  WORK,  
integer  LWORK,  
logical, dimension( * )  LLWORK,  
real, dimension( 15 )  RESULT,  
integer  INFO  
) 
SCHKGG
SCHKGG checks the nonsymmetric generalized eigenvalue problem routines. T T T SGGHRD factors A and B as U H V and U T V , where means transpose, H is hessenberg, T is triangular and U and V are orthogonal. T T SHGEQZ factors H and T as Q S Z and Q P Z , where P 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(1),beta(1)),...,(alpha(n),beta(n)), where alpha(j)=S(j,j) and beta(j)=P(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 STGEVC computes the matrix L of left eigenvectors and the matrix R of right eigenvectors for the matrix pair ( S, P ). In the description below, l and r are left and right eigenvectors corresponding to the generalized eigenvalues (alpha,beta). When SCHKGG 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, 15 tests will be performed. The first twelve "test ratios" should be small  O(1). They will be compared with the threshhold THRESH: T (1)  A  U H V  / ( A n ulp ) T (2)  B  U T V  / ( B n ulp ) T (3)  I  UU  / ( n ulp ) T (4)  I  VV  / ( n ulp ) T (5)  H  Q S Z  / ( H n ulp ) T (6)  T  Q P Z  / ( T n ulp ) T (7)  I  QQ  / ( n ulp ) T (8)  I  ZZ  / ( n ulp ) (9) max over all left eigenvalue/vector pairs (beta/alpha,l) of  l**H * (beta S  alpha P)  / ( ulp max( beta S, alpha P ) ) (10) max over all left eigenvalue/vector pairs (beta/alpha,l') of T  l'**H * (beta H  alpha T)  / ( ulp max( beta H, alpha T ) ) where the eigenvectors l' are the result of passing Q to STGEVC and back transforming (HOWMNY='B'). (11) max over all right eigenvalue/vector pairs (beta/alpha,r) of  (beta S  alpha T) r  / ( ulp max( beta S, alpha T ) ) (12) max over all right eigenvalue/vector pairs (beta/alpha,r') of  (beta H  alpha T) r'  / ( ulp max( beta H, alpha T ) ) where the eigenvectors r' are the result of passing Z to STGEVC and back transforming (HOWMNY='B'). The last three test ratios will usually be small, but there is no mathematical requirement that they be so. They are therefore compared with THRESH only if TSTDIF is .TRUE. (13)  S(Q,Z computed)  S(Q,Z not computed)  / ( S ulp ) (14)  P(Q,Z computed)  P(Q,Z not computed)  / ( P ulp ) (15) max( alpha(Q,Z computed)  alpha(Q,Z not computed)/S , beta(Q,Z computed)  beta(Q,Z not computed)/P ) / ulp In addition, the normalization of L and R are checked, and compared with the threshhold THRSHN. 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=(N1)/2 (7) ( D, I ) where D is diag( 0, 1,..., N1 ) (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, ..., N3, 0 ) and D2 is diag( 0, N3, N4,..., 1, 0, 0 ) t t (16) U ( J , J ) V where U and V are random orthogonal matrices. (17) U ( T1, T2 ) V where T1 and T2 are upper triangular matrices with random O(1) entries above the diagonal and diagonal entries diag(T1) = ( 0, 0, 1, ..., N3, 0 ) and diag(T2) = ( 0, N3, N4,..., 1, 0, 0 ) (18) U ( T1, T2 ) V diag(T1) = ( 0, 0, 1, 1, s, ..., s, 0 ) diag(T2) = ( 0, 1, 0, 1,..., 1, 0 ) s = machine precision. (19) U ( T1, T2 ) V diag(T1)=( 0,0,1,1, 1d, ..., 1(N5)*d=s, 0 ) diag(T2) = ( 0, 1, 0, 1, ..., 1, 0 ) N5 (20) U ( T1, T2 ) V diag(T1)=( 0, 0, 1, 1, a, ..., a =s, 0 ) diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 ) (21) U ( T1, T2 ) V diag(T1)=( 0, 0, 1, r1, r2, ..., r(N4), 0 ) diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 ) where r1,..., r(N4) are random. (22) U ( big*T1, small*T2 ) V diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (23) U ( small*T1, big*T2 ) V diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (24) U ( small*T1, small*T2 ) V diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (25) U ( big*T1, big*T2 ) V diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (26) U ( T1, T2 ) V where T1 and T2 are random uppertriangular matrices.
[in]  NSIZES  NSIZES is INTEGER The number of sizes of matrices to use. If it is zero, SCHKGG does nothing. It must be at least zero. 
[in]  NN  NN is 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. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. If it is zero, SCHKGG 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. . 
[in]  DOTYPE  DOTYPE is 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. 
[in,out]  ISEED  ISEED is 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 SCHKGG to continue the same random number sequence. 
[in]  THRESH  THRESH is 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. 
[in]  TSTDIF  TSTDIF is LOGICAL Specifies whether test ratios 1315 will be computed and compared with THRESH. = .FALSE.: Only test ratios 112 will be computed and tested. Ratios 1315 will be set to zero. = .TRUE.: All the test ratios 115 will be computed and tested. 
[in]  THRSHN  THRSHN is 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 510.) 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) 
[in,out]  A  A is REAL 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. 
[in]  LDA  LDA is INTEGER The leading dimension of A, B, H, T, S1, P1, S2, and P2. It must be at least 1 and at least max( NN ). 
[in,out]  B  B is REAL 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. 
[out]  H  H is REAL array, dimension (LDA, max(NN)) The upper Hessenberg matrix computed from A by SGGHRD. 
[out]  T  T is REAL array, dimension (LDA, max(NN)) The upper triangular matrix computed from B by SGGHRD. 
[out]  S1  S1 is REAL array, dimension (LDA, max(NN)) The Schur (block upper triangular) matrix computed from H by SHGEQZ when Q and Z are also computed. 
[out]  S2  S2 is REAL array, dimension (LDA, max(NN)) The Schur (block upper triangular) matrix computed from H by SHGEQZ when Q and Z are not computed. 
[out]  P1  P1 is REAL array, dimension (LDA, max(NN)) The upper triangular matrix computed from T by SHGEQZ when Q and Z are also computed. 
[out]  P2  P2 is REAL array, dimension (LDA, max(NN)) The upper triangular matrix computed from T by SHGEQZ when Q and Z are not computed. 
[out]  U  U is REAL array, dimension (LDU, max(NN)) The (left) orthogonal matrix computed by SGGHRD. 
[in]  LDU  LDU is INTEGER The leading dimension of U, V, Q, Z, EVECTL, and EVECTR. It must be at least 1 and at least max( NN ). 
[out]  V  V is REAL array, dimension (LDU, max(NN)) The (right) orthogonal matrix computed by SGGHRD. 
[out]  Q  Q is REAL array, dimension (LDU, max(NN)) The (left) orthogonal matrix computed by SHGEQZ. 
[out]  Z  Z is REAL array, dimension (LDU, max(NN)) The (left) orthogonal matrix computed by SHGEQZ. 
[out]  ALPHR1  ALPHR1 is REAL array, dimension (max(NN)) 
[out]  ALPHI1  ALPHI1 is REAL array, dimension (max(NN)) 
[out]  BETA1  BETA1 is REAL array, dimension (max(NN)) The generalized eigenvalues of (A,B) computed by SHGEQZ when Q, Z, and the full Schur matrices are computed. On exit, ( ALPHR1(k)+ALPHI1(k)*i ) / BETA1(k) is the kth generalized eigenvalue of the matrices in A and B. 
[out]  ALPHR3  ALPHR3 is REAL array, dimension (max(NN)) 
[out]  ALPHI3  ALPHI3 is REAL array, dimension (max(NN)) 
[out]  BETA3  BETA3 is REAL array, dimension (max(NN)) 
[out]  EVECTL  EVECTL is REAL array, dimension (LDU, max(NN)) The (block lower triangular) left eigenvector matrix for the matrices in S1 and P1. (See STGEVC for the format.) 
[out]  EVECTR  EVECTR is REAL array, dimension (LDU, max(NN)) The (block upper triangular) right eigenvector matrix for the matrices in S1 and P1. (See STGEVC for the format.) 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The number of entries in WORK. This must be at least max( 2 * N**2, 6*N, 1 ), for all N=NN(j). 
[out]  LLWORK  LLWORK is LOGICAL array, dimension (max(NN)) 
[out]  RESULT  RESULT is REAL array, dimension (15) The values computed by the tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  INFO  INFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value > 0: A routine returned an error code. INFO is the absolute value of the INFO value returned. 
Definition at line 508 of file schkgg.f.
subroutine schkgk  (  integer  NIN, 
integer  NOUT  
) 
SCHKGK
SCHKGK tests SGGBAK, a routine for backward balancing of a matrix pair (A, B).
[in]  NIN  NIN is INTEGER The logical unit number for input. NIN > 0. 
[in]  NOUT  NOUT is INTEGER The logical unit number for output. NOUT > 0. 
Definition at line 55 of file schkgk.f.
subroutine schkgl  (  integer  NIN, 
integer  NOUT  
) 
SCHKGL
SCHKGL tests SGGBAL, a routine for balancing a matrix pair (A, B).
[in]  NIN  NIN is INTEGER The logical unit number for input. NIN > 0. 
[in]  NOUT  NOUT is INTEGER The logical unit number for output. NOUT > 0. 
Definition at line 54 of file schkgl.f.
subroutine schkhs  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  H,  
real, dimension( lda, * )  T1,  
real, dimension( lda, * )  T2,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldu, * )  Z,  
real, dimension( ldu, * )  UZ,  
real, dimension( * )  WR1,  
real, dimension( * )  WI1,  
real, dimension( * )  WR3,  
real, dimension( * )  WI3,  
real, dimension( ldu, * )  EVECTL,  
real, dimension( ldu, * )  EVECTR,  
real, dimension( ldu, * )  EVECTY,  
real, dimension( ldu, * )  EVECTX,  
real, dimension( ldu, * )  UU,  
real, dimension( * )  TAU,  
real, dimension( * )  WORK,  
integer  NWORK,  
integer, dimension( * )  IWORK,  
logical, dimension( * )  SELECT,  
real, dimension( 14 )  RESULT,  
integer  INFO  
) 
SCHKHS
SCHKHS checks the nonsymmetric eigenvalue problem routines. SGEHRD factors A as U H U' , where ' means transpose, H is hessenberg, and U is an orthogonal matrix. SORGHR generates the orthogonal matrix U. SORMHR multiplies a matrix by the orthogonal matrix U. SHSEQR factors H as Z T Z' , where Z is orthogonal and T is "quasitriangular", and the eigenvalue vector W. STREVC computes the left and right eigenvector matrices L and R for T. SHSEIN computes the left and right eigenvector matrices Y and X for H, using inverse iteration. When SCHKHS 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, 14 tests will be performed: (1)  A  U H U**T  / ( A n ulp ) (2)  I  UU**T  / ( n ulp ) (3)  H  Z T Z**T  / ( H n ulp ) (4)  I  ZZ**T  / ( n ulp ) (5)  A  UZ H (UZ)**T  / ( A n ulp ) (6)  I  UZ (UZ)**T  / ( n ulp ) (7)  T(Z computed)  T(Z not computed)  / ( T ulp ) (8)  W(Z computed)  W(Z not computed)  / ( W ulp ) (9)  TR  RW  / ( T R ulp ) (10)  L**H T  W**H L  / ( T L ulp ) (11)  HX  XW  / ( H X ulp ) (12)  Y**H H  W**H Y  / ( H Y ulp ) (13)  AX  XW  / ( A X ulp ) (14)  Y**H A  W**H Y  / ( A Y ulp ) The "sizes" are specified by an array NN(1:NSIZES); the value of each element NN(j) specifies one size. The "types" are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. Currently, the list of possible types is: (1) The zero matrix. (2) The identity matrix. (3) A (transposed) Jordan block, with 1's on the diagonal. (4) A diagonal matrix with evenly spaced entries 1, ..., ULP and random signs. (ULP = (first number larger than 1)  1 ) (5) A diagonal matrix with geometrically spaced entries 1, ..., ULP and random signs. (6) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP and random signs. (7) Same as (4), but multiplied by SQRT( overflow threshold ) (8) Same as (4), but multiplied by SQRT( underflow threshold ) (9) A matrix of the form U' T U, where U is orthogonal and T has evenly spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (10) A matrix of the form U' T U, where U is orthogonal and T has geometrically spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (11) A matrix of the form U' T U, where U is orthogonal and T has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (12) A matrix of the form U' T U, where U is orthogonal and T has real or complex conjugate paired eigenvalues randomly chosen from ( ULP, 1 ) and random O(1) entries in the upper triangle. (13) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has evenly spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (14) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has geometrically spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (15) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (16) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has real or complex conjugate paired eigenvalues randomly chosen from ( ULP, 1 ) and random O(1) entries in the upper triangle. (17) Same as (16), but multiplied by SQRT( overflow threshold ) (18) Same as (16), but multiplied by SQRT( underflow threshold ) (19) Nonsymmetric matrix with random entries chosen from (1,1). (20) Same as (19), but multiplied by SQRT( overflow threshold ) (21) Same as (19), but multiplied by SQRT( underflow threshold )
NSIZES  INTEGER The number of sizes of matrices to use. If it is zero, SCHKHS does nothing. It must be at least zero. Not modified. NN  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. Not modified. NTYPES  INTEGER The number of elements in DOTYPE. If it is zero, SCHKHS 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. . Not modified. DOTYPE  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. Not modified. ISEED  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 SCHKHS to continue the same random number sequence. Modified. THRESH  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. Not modified. NOUNIT  INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) Not modified. A  REAL array, dimension (LDA,max(NN)) Used to hold the matrix whose eigenvalues are to be computed. On exit, A contains the last matrix actually used. Modified. LDA  INTEGER The leading dimension of A, H, T1 and T2. It must be at least 1 and at least max( NN ). Not modified. H  REAL array, dimension (LDA,max(NN)) The upper hessenberg matrix computed by SGEHRD. On exit, H contains the Hessenberg form of the matrix in A. Modified. T1  REAL array, dimension (LDA,max(NN)) The Schur (="quasitriangular") matrix computed by SHSEQR if Z is computed. On exit, T1 contains the Schur form of the matrix in A. Modified. T2  REAL array, dimension (LDA,max(NN)) The Schur matrix computed by SHSEQR when Z is not computed. This should be identical to T1. Modified. LDU  INTEGER The leading dimension of U, Z, UZ and UU. It must be at least 1 and at least max( NN ). Not modified. U  REAL array, dimension (LDU,max(NN)) The orthogonal matrix computed by SGEHRD. Modified. Z  REAL array, dimension (LDU,max(NN)) The orthogonal matrix computed by SHSEQR. Modified. UZ  REAL array, dimension (LDU,max(NN)) The product of U times Z. Modified. WR1  REAL array, dimension (max(NN)) WI1  REAL array, dimension (max(NN)) The real and imaginary parts of the eigenvalues of A, as computed when Z is computed. On exit, WR1 + WI1*i are the eigenvalues of the matrix in A. Modified. WR3  REAL array, dimension (max(NN)) WI3  REAL array, dimension (max(NN)) Like WR1, WI1, these arrays contain the eigenvalues of A, but those computed when SHSEQR only computes the eigenvalues, i.e., not the Schur vectors and no more of the Schur form than is necessary for computing the eigenvalues. Modified. EVECTL  REAL array, dimension (LDU,max(NN)) The (upper triangular) left eigenvector matrix for the matrix in T1. For complex conjugate pairs, the real part is stored in one row and the imaginary part in the next. Modified. EVECTR  REAL array, dimension (LDU,max(NN)) The (upper triangular) right eigenvector matrix for the matrix in T1. For complex conjugate pairs, the real part is stored in one column and the imaginary part in the next. Modified. EVECTY  REAL array, dimension (LDU,max(NN)) The left eigenvector matrix for the matrix in H. For complex conjugate pairs, the real part is stored in one row and the imaginary part in the next. Modified. EVECTX  REAL array, dimension (LDU,max(NN)) The right eigenvector matrix for the matrix in H. For complex conjugate pairs, the real part is stored in one column and the imaginary part in the next. Modified. UU  REAL array, dimension (LDU,max(NN)) Details of the orthogonal matrix computed by SGEHRD. Modified. TAU  REAL array, dimension(max(NN)) Further details of the orthogonal matrix computed by SGEHRD. Modified. WORK  REAL array, dimension (NWORK) Workspace. Modified. NWORK  INTEGER The number of entries in WORK. NWORK >= 4*NN(j)*NN(j) + 2. IWORK  INTEGER array, dimension (max(NN)) Workspace. Modified. SELECT  LOGICAL array, dimension (max(NN)) Workspace. Modified. RESULT  REAL array, dimension (14) The values computed by the fourteen tests described above. The values are currently limited to 1/ulp, to avoid overflow. Modified. INFO  INTEGER If 0, then everything ran OK. 1: NSIZES < 0 2: Some NN(j) < 0 3: NTYPES < 0 6: THRESH < 0 9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ). 14: LDU < 1 or LDU < NMAX. 28: NWORK too small. If SLATMR, SLATMS, or SLATME returns an error code, the absolute value of it is returned. If 1, then SHSEQR could not find all the shifts. If 2, then the EISPACK code (for small blocks) failed. If >2, then 30*N iterations were not enough to find an eigenvalue or to decompose the problem. Modified.  Some Local Variables and Parameters:      ZERO, ONE Real 0 and 1. MAXTYP The number of types defined. MTEST The number of tests defined: care must be taken that (1) the size of RESULT, (2) the number of tests actually performed, and (3) MTEST agree. NTEST The number of tests performed on this matrix so far. This should be less than MTEST, and equal to it by the last test. It will be less if any of the routines being tested indicates that it could not compute the matrices that would be tested. NMAX Largest value in NN. NMATS The number of matrices generated so far. NERRS The number of tests which have exceeded THRESH so far (computed by SLAFTS). COND, CONDS, IMODE Values to be passed to the matrix generators. ANORM Norm of A; passed to matrix generators. OVFL, UNFL Overflow and underflow thresholds. ULP, ULPINV Finest relative precision and its inverse. RTOVFL, RTUNFL, RTULP, RTULPI Square roots of the previous 4 values. The following four arrays decode JTYPE: KTYPE(j) The general type (110) for type "j". KMODE(j) The MODE value to be passed to the matrix generator for type "j". KMAGN(j) The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) ) KCONDS(j) Selects whether CONDS is to be 1 or 1/sqrt(ulp). (0 means irrelevant.)
Definition at line 402 of file schkhs.f.
subroutine schksb  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NWDTHS,  
integer, dimension( * )  KK,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( * )  SD,  
real, dimension( * )  SE,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( * )  WORK,  
integer  LWORK,  
real, dimension( * )  RESULT,  
integer  INFO  
) 
SCHKSB
SCHKSB tests the reduction of a symmetric band matrix to tridiagonal form, used with the symmetric eigenvalue problem. SSBTRD factors a symmetric band matrix A as U S U' , where ' means transpose, S is symmetric tridiagonal, and U is orthogonal. SSBTRD can use either just the lower or just the upper triangle of A; SCHKSB checks both cases. When SCHKSB is called, a number of matrix "sizes" ("n's"), a number of bandwidths ("k's"), and a number of matrix "types" are specified. For each size ("n"), each bandwidth ("k") less than or equal to "n", and each type of matrix, one matrix will be generated and used to test the symmetric banded reduction routine. For each matrix, a number of tests will be performed: (1)  A  V S V'  / ( A n ulp ) computed by SSBTRD with UPLO='U' (2)  I  UU'  / ( n ulp ) (3)  A  V S V'  / ( A n ulp ) computed by SSBTRD with UPLO='L' (4)  I  UU'  / ( n ulp ) The "sizes" are specified by an array NN(1:NSIZES); the value of each element NN(j) specifies one size. The "types" are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. Currently, the list of possible types is: (1) The zero matrix. (2) The identity matrix. (3) A diagonal matrix with evenly spaced entries 1, ..., ULP and random signs. (ULP = (first number larger than 1)  1 ) (4) A diagonal matrix with geometrically spaced entries 1, ..., ULP and random signs. (5) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP and random signs. (6) Same as (4), but multiplied by SQRT( overflow threshold ) (7) Same as (4), but multiplied by SQRT( underflow threshold ) (8) A matrix of the form U' D U, where U is orthogonal and D has evenly spaced entries 1, ..., ULP with random signs on the diagonal. (9) A matrix of the form U' D U, where U is orthogonal and D has geometrically spaced entries 1, ..., ULP with random signs on the diagonal. (10) A matrix of the form U' D U, where U is orthogonal and D has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal. (11) Same as (8), but multiplied by SQRT( overflow threshold ) (12) Same as (8), but multiplied by SQRT( underflow threshold ) (13) Symmetric matrix with random entries chosen from (1,1). (14) Same as (13), but multiplied by SQRT( overflow threshold ) (15) Same as (13), but multiplied by SQRT( underflow threshold )
[in]  NSIZES  NSIZES is INTEGER The number of sizes of matrices to use. If it is zero, SCHKSB does nothing. It must be at least zero. 
[in]  NN  NN is 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. 
[in]  NWDTHS  NWDTHS is INTEGER The number of bandwidths to use. If it is zero, SCHKSB does nothing. It must be at least zero. 
[in]  KK  KK is INTEGER array, dimension (NWDTHS) An array containing the bandwidths to be used for the band matrices. The values must be at least zero. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. If it is zero, SCHKSB 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. . 
[in]  DOTYPE  DOTYPE is 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. 
[in,out]  ISEED  ISEED is 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 SCHKSB to continue the same random number sequence. 
[in]  THRESH  THRESH is 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. 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) 
[in,out]  A  A is REAL array, dimension (LDA, max(NN)) Used to hold the matrix whose eigenvalues are to be computed. 
[in]  LDA  LDA is INTEGER The leading dimension of A. It must be at least 2 (not 1!) and at least max( KK )+1. 
[out]  SD  SD is REAL array, dimension (max(NN)) Used to hold the diagonal of the tridiagonal matrix computed by SSBTRD. 
[out]  SE  SE is REAL array, dimension (max(NN)) Used to hold the offdiagonal of the tridiagonal matrix computed by SSBTRD. 
[out]  U  U is REAL array, dimension (LDU, max(NN)) Used to hold the orthogonal matrix computed by SSBTRD. 
[in]  LDU  LDU is INTEGER The leading dimension of U. It must be at least 1 and at least max( NN ). 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The number of entries in WORK. This must be at least max( LDA+1, max(NN)+1 )*max(NN). 
[out]  RESULT  RESULT is REAL array, dimension (4) The values computed by the tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  INFO  INFO is INTEGER If 0, then everything ran OK.  Some Local Variables and Parameters:      ZERO, ONE Real 0 and 1. MAXTYP The number of types defined. NTEST The number of tests performed, or which can be performed so far, for the current matrix. NTESTT The total number of tests performed so far. NMAX Largest value in NN. NMATS The number of matrices generated so far. NERRS The number of tests which have exceeded THRESH so far. COND, IMODE Values to be passed to the matrix generators. ANORM Norm of A; passed to matrix generators. OVFL, UNFL Overflow and underflow thresholds. ULP, ULPINV Finest relative precision and its inverse. RTOVFL, RTUNFL Square roots of the previous 2 values. The following four arrays decode JTYPE: KTYPE(j) The general type (110) for type "j". KMODE(j) The MODE value to be passed to the matrix generator for type "j". KMAGN(j) The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) ) 
Definition at line 292 of file schksb.f.
subroutine schkst  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( * )  AP,  
real, dimension( * )  SD,  
real, dimension( * )  SE,  
real, dimension( * )  D1,  
real, dimension( * )  D2,  
real, dimension( * )  D3,  
real, dimension( * )  D4,  
real, dimension( * )  D5,  
real, dimension( * )  WA1,  
real, dimension( * )  WA2,  
real, dimension( * )  WA3,  
real, dimension( * )  WR,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldu, * )  V,  
real, dimension( * )  VP,  
real, dimension( * )  TAU,  
real, dimension( ldu, * )  Z,  
real, dimension( * )  WORK,  
integer  LWORK,  
integer, dimension( * )  IWORK,  
integer  LIWORK,  
real, dimension( * )  RESULT,  
integer  INFO  
) 
SCHKST
SCHKST checks the symmetric eigenvalue problem routines. SSYTRD factors A as U S U' , where ' means transpose, S is symmetric tridiagonal, and U is orthogonal. SSYTRD can use either just the lower or just the upper triangle of A; SCHKST checks both cases. U is represented as a product of Householder transformations, whose vectors are stored in the first n1 columns of V, and whose scale factors are in TAU. SSPTRD does the same as SSYTRD, except that A and V are stored in "packed" format. SORGTR constructs the matrix U from the contents of V and TAU. SOPGTR constructs the matrix U from the contents of VP and TAU. SSTEQR factors S as Z D1 Z' , where Z is the orthogonal matrix of eigenvectors and D1 is a diagonal matrix with the eigenvalues on the diagonal. D2 is the matrix of eigenvalues computed when Z is not computed. SSTERF computes D3, the matrix of eigenvalues, by the PWK method, which does not yield eigenvectors. SPTEQR factors S as Z4 D4 Z4' , for a symmetric positive definite tridiagonal matrix. D5 is the matrix of eigenvalues computed when Z is not computed. SSTEBZ computes selected eigenvalues. WA1, WA2, and WA3 will denote eigenvalues computed to high absolute accuracy, with different range options. WR will denote eigenvalues computed to high relative accuracy. SSTEIN computes Y, the eigenvectors of S, given the eigenvalues. SSTEDC factors S as Z D1 Z' , where Z is the orthogonal matrix of eigenvectors and D1 is a diagonal matrix with the eigenvalues on the diagonal ('I' option). It may also update an input orthogonal matrix, usually the output from SSYTRD/SORGTR or SSPTRD/SOPGTR ('V' option). It may also just compute eigenvalues ('N' option). SSTEMR factors S as Z D1 Z' , where Z is the orthogonal matrix of eigenvectors and D1 is a diagonal matrix with the eigenvalues on the diagonal ('I' option). SSTEMR uses the Relatively Robust Representation whenever possible. When SCHKST 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 symmetric eigenroutines. For each matrix, a number of tests will be performed: (1)  A  V S V'  / ( A n ulp ) SSYTRD( UPLO='U', ... ) (2)  I  UV'  / ( n ulp ) SORGTR( UPLO='U', ... ) (3)  A  V S V'  / ( A n ulp ) SSYTRD( UPLO='L', ... ) (4)  I  UV'  / ( n ulp ) SORGTR( UPLO='L', ... ) (58) Same as 14, but for SSPTRD and SOPGTR. (9)  S  Z D Z'  / ( S n ulp ) SSTEQR('V',...) (10)  I  ZZ'  / ( n ulp ) SSTEQR('V',...) (11)  D1  D2  / ( D1 ulp ) SSTEQR('N',...) (12)  D1  D3  / ( D1 ulp ) SSTERF (13) 0 if the true eigenvalues (computed by sturm count) of S are within THRESH of those in D1. 2*THRESH if they are not. (Tested using SSTECH) For S positive definite, (14)  S  Z4 D4 Z4'  / ( S n ulp ) SPTEQR('V',...) (15)  I  Z4 Z4'  / ( n ulp ) SPTEQR('V',...) (16)  D4  D5  / ( 100 D4 ulp ) SPTEQR('N',...) When S is also diagonally dominant by the factor gamma < 1, (17) max  D4(i)  WR(i)  / ( D4(i) omega ) , i omega = 2 (2n1) ULP (1 + 8 gamma**2) / (1  gamma)**4 SSTEBZ( 'A', 'E', ...) (18)  WA1  D3  / ( D3 ulp ) SSTEBZ( 'A', 'E', ...) (19) ( max { min  WA2(i)WA3(j)  } + i j max { min  WA3(i)WA2(j)  } ) / ( D3 ulp ) i j SSTEBZ( 'I', 'E', ...) (20)  S  Y WA1 Y'  / ( S n ulp ) SSTEBZ, SSTEIN (21)  I  Y Y'  / ( n ulp ) SSTEBZ, SSTEIN (22)  S  Z D Z'  / ( S n ulp ) SSTEDC('I') (23)  I  ZZ'  / ( n ulp ) SSTEDC('I') (24)  S  Z D Z'  / ( S n ulp ) SSTEDC('V') (25)  I  ZZ'  / ( n ulp ) SSTEDC('V') (26)  D1  D2  / ( D1 ulp ) SSTEDC('V') and SSTEDC('N') Test 27 is disabled at the moment because SSTEMR does not guarantee high relatvie accuracy. (27) max  D6(i)  WR(i)  / ( D6(i) omega ) , i omega = 2 (2n1) ULP (1 + 8 gamma**2) / (1  gamma)**4 SSTEMR('V', 'A') (28) max  D6(i)  WR(i)  / ( D6(i) omega ) , i omega = 2 (2n1) ULP (1 + 8 gamma**2) / (1  gamma)**4 SSTEMR('V', 'I') Tests 29 through 34 are disable at present because SSTEMR does not handle partial specturm requests. (29)  S  Z D Z'  / ( S n ulp ) SSTEMR('V', 'I') (30)  I  ZZ'  / ( n ulp ) SSTEMR('V', 'I') (31) ( max { min  WA2(i)WA3(j)  } + i j max { min  WA3(i)WA2(j)  } ) / ( D3 ulp ) i j SSTEMR('N', 'I') vs. SSTEMR('V', 'I') (32)  S  Z D Z'  / ( S n ulp ) SSTEMR('V', 'V') (33)  I  ZZ'  / ( n ulp ) SSTEMR('V', 'V') (34) ( max { min  WA2(i)WA3(j)  } + i j max { min  WA3(i)WA2(j)  } ) / ( D3 ulp ) i j SSTEMR('N', 'V') vs. SSTEMR('V', 'V') (35)  S  Z D Z'  / ( S n ulp ) SSTEMR('V', 'A') (36)  I  ZZ'  / ( n ulp ) SSTEMR('V', 'A') (37) ( max { min  WA2(i)WA3(j)  } + i j max { min  WA3(i)WA2(j)  } ) / ( D3 ulp ) i j SSTEMR('N', 'A') vs. SSTEMR('V', 'A') The "sizes" are specified by an array NN(1:NSIZES); the value of each element NN(j) specifies one size. The "types" are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. Currently, the list of possible types is: (1) The zero matrix. (2) The identity matrix. (3) A diagonal matrix with evenly spaced entries 1, ..., ULP and random signs. (ULP = (first number larger than 1)  1 ) (4) A diagonal matrix with geometrically spaced entries 1, ..., ULP and random signs. (5) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP and random signs. (6) Same as (4), but multiplied by SQRT( overflow threshold ) (7) Same as (4), but multiplied by SQRT( underflow threshold ) (8) A matrix of the form U' D U, where U is orthogonal and D has evenly spaced entries 1, ..., ULP with random signs on the diagonal. (9) A matrix of the form U' D U, where U is orthogonal and D has geometrically spaced entries 1, ..., ULP with random signs on the diagonal. (10) A matrix of the form U' D U, where U is orthogonal and D has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal. (11) Same as (8), but multiplied by SQRT( overflow threshold ) (12) Same as (8), but multiplied by SQRT( underflow threshold ) (13) Symmetric matrix with random entries chosen from (1,1). (14) Same as (13), but multiplied by SQRT( overflow threshold ) (15) Same as (13), but multiplied by SQRT( underflow threshold ) (16) Same as (8), but diagonal elements are all positive. (17) Same as (9), but diagonal elements are all positive. (18) Same as (10), but diagonal elements are all positive. (19) Same as (16), but multiplied by SQRT( overflow threshold ) (20) Same as (16), but multiplied by SQRT( underflow threshold ) (21) A diagonally dominant tridiagonal matrix with geometrically spaced diagonal entries 1, ..., ULP.
[in]  NSIZES  NSIZES is INTEGER The number of sizes of matrices to use. If it is zero, SCHKST does nothing. It must be at least zero. 
[in]  NN  NN is 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. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. If it is zero, SCHKST 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. . 
[in]  DOTYPE  DOTYPE is 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. 
[in,out]  ISEED  ISEED is 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 SCHKST to continue the same random number sequence. 
[in]  THRESH  THRESH is 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. 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) 
[in,out]  A  A is REAL array of dimension ( LDA , max(NN) ) Used to hold the matrix whose eigenvalues are to be computed. On exit, A contains the last matrix actually used. 
[in]  LDA  LDA is INTEGER The leading dimension of A. It must be at least 1 and at least max( NN ). 
[out]  AP  AP is REAL array of dimension( max(NN)*max(NN+1)/2 ) The matrix A stored in packed format. 
[out]  SD  SD is REAL array of dimension( max(NN) ) The diagonal of the tridiagonal matrix computed by SSYTRD. On exit, SD and SE contain the tridiagonal form of the matrix in A. 
[out]  SE  SE is REAL array of dimension( max(NN) ) The offdiagonal of the tridiagonal matrix computed by SSYTRD. On exit, SD and SE contain the tridiagonal form of the matrix in A. 
[out]  D1  D1 is REAL array of dimension( max(NN) ) The eigenvalues of A, as computed by SSTEQR simlutaneously with Z. On exit, the eigenvalues in D1 correspond with the matrix in A. 
[out]  D2  D2 is REAL array of dimension( max(NN) ) The eigenvalues of A, as computed by SSTEQR if Z is not computed. On exit, the eigenvalues in D2 correspond with the matrix in A. 
[out]  D3  D3 is REAL array of dimension( max(NN) ) The eigenvalues of A, as computed by SSTERF. On exit, the eigenvalues in D3 correspond with the matrix in A. 
[out]  D4  D4 is REAL array of dimension( max(NN) ) The eigenvalues of A, as computed by SPTEQR(V). ZPTEQR factors S as Z4 D4 Z4* On exit, the eigenvalues in D4 correspond with the matrix in A. 
[out]  D5  D5 is REAL array of dimension( max(NN) ) The eigenvalues of A, as computed by SPTEQR(N) when Z is not computed. On exit, the eigenvalues in D4 correspond with the matrix in A. 
[out]  WA1  WA1 is REAL array of dimension( max(NN) ) All eigenvalues of A, computed to high absolute accuracy, with different range options. as computed by SSTEBZ. 
[out]  WA2  WA2 is REAL array of dimension( max(NN) ) Selected eigenvalues of A, computed to high absolute accuracy, with different range options. as computed by SSTEBZ. Choose random values for IL and IU, and ask for the ILth through IUth eigenvalues. 
[out]  WA3  WA3 is REAL array of dimension( max(NN) ) Selected eigenvalues of A, computed to high absolute accuracy, with different range options. as computed by SSTEBZ. Determine the values VL and VU of the ILth and IUth eigenvalues and ask for all eigenvalues in this range. 
[out]  WR  WR is REAL array of dimension( max(NN) ) All eigenvalues of A, computed to high absolute accuracy, with different options. as computed by SSTEBZ. 
[out]  U  U is REAL array of dimension( LDU, max(NN) ). The orthogonal matrix computed by SSYTRD + SORGTR. 
[in]  LDU  LDU is INTEGER The leading dimension of U, Z, and V. It must be at least 1 and at least max( NN ). 
[out]  V  V is REAL array of dimension( LDU, max(NN) ). The Housholder vectors computed by SSYTRD in reducing A to tridiagonal form. The vectors computed with UPLO='U' are in the upper triangle, and the vectors computed with UPLO='L' are in the lower triangle. (As described in SSYTRD, the sub and superdiagonal are not set to 1, although the true Householder vector has a 1 in that position. The routines that use V, such as SORGTR, set those entries to 1 before using them, and then restore them later.) 
[out]  VP  VP is REAL array of dimension( max(NN)*max(NN+1)/2 ) The matrix V stored in packed format. 
[out]  TAU  TAU is REAL array of dimension( max(NN) ) The Householder factors computed by SSYTRD in reducing A to tridiagonal form. 
[out]  Z  Z is REAL array of dimension( LDU, max(NN) ). The orthogonal matrix of eigenvectors computed by SSTEQR, SPTEQR, and SSTEIN. 
[out]  WORK  WORK is REAL array of dimension( LWORK ) 
[in]  LWORK  LWORK is INTEGER The number of entries in WORK. This must be at least 1 + 4 * Nmax + 2 * Nmax * lg Nmax + 3 * Nmax**2 where Nmax = max( NN(j), 2 ) and lg = log base 2. 
[out]  IWORK  IWORK is INTEGER array, Workspace. 
[out]  LIWORK  LIWORK is INTEGER The number of entries in IWORK. This must be at least 6 + 6*Nmax + 5 * Nmax * lg Nmax where Nmax = max( NN(j), 2 ) and lg = log base 2. 
[out]  RESULT  RESULT is REAL array, dimension (26) The values computed by the tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  INFO  INFO is INTEGER If 0, then everything ran OK. 1: NSIZES < 0 2: Some NN(j) < 0 3: NTYPES < 0 5: THRESH < 0 9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ). 23: LDU < 1 or LDU < NMAX. 29: LWORK too small. If SLATMR, SLATMS, SSYTRD, SORGTR, SSTEQR, SSTERF, or SORMC2 returns an error code, the absolute value of it is returned.  Some Local Variables and Parameters:      ZERO, ONE Real 0 and 1. MAXTYP The number of types defined. NTEST The number of tests performed, or which can be performed so far, for the current matrix. NTESTT The total number of tests performed so far. NBLOCK Blocksize as returned by ENVIR. NMAX Largest value in NN. NMATS The number of matrices generated so far. NERRS The number of tests which have exceeded THRESH so far. COND, IMODE Values to be passed to the matrix generators. ANORM Norm of A; passed to matrix generators. OVFL, UNFL Overflow and underflow thresholds. ULP, ULPINV Finest relative precision and its inverse. RTOVFL, RTUNFL Square roots of the previous 2 values. The following four arrays decode JTYPE: KTYPE(j) The general type (110) for type "j". KMODE(j) The MODE value to be passed to the matrix generator for type "j". KMAGN(j) The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) ) 
Definition at line 589 of file schkst.f.
subroutine sckcsd  (  integer  NM, 
integer, dimension( * )  MVAL,  
integer, dimension( * )  PVAL,  
integer, dimension( * )  QVAL,  
integer  NMATS,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  MMAX,  
real, dimension( * )  X,  
real, dimension( * )  XF,  
real, dimension( * )  U1,  
real, dimension( * )  U2,  
real, dimension( * )  V1T,  
real, dimension( * )  V2T,  
real, dimension( * )  THETA,  
integer, dimension( * )  IWORK,  
real, dimension( * )  WORK,  
real, dimension( * )  RWORK,  
integer  NIN,  
integer  NOUT,  
integer  INFO  
) 
SCKCSD
SCKCSD tests SORCSD: the CSD for an MbyM orthogonal matrix X partitioned as [ X11 X12; X21 X22 ]. X11 is PbyQ.
[in]  NM  NM is INTEGER The number of values of M contained in the vector MVAL. 
[in]  MVAL  MVAL is INTEGER array, dimension (NM) The values of the matrix row dimension M. 
[in]  PVAL  PVAL is INTEGER array, dimension (NM) The values of the matrix row dimension P. 
[in]  QVAL  QVAL is INTEGER array, dimension (NM) The values of the matrix column dimension Q. 
[in]  NMATS  NMATS is INTEGER The number of matrix types to be tested for each combination of matrix dimensions. If NMATS >= NTYPES (the maximum number of matrix types), then all the different types are generated for testing. If NMATS < NTYPES, another input line is read to get the numbers of the matrix types to be used. 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator. The array elements should be between 0 and 4095, otherwise they will be reduced mod 4096, and ISEED(4) must be odd. On exit, the next seed in the random number sequence after all the test matrices have been generated. 
[in]  THRESH  THRESH is REAL The threshold value for the test ratios. A result is included in the output file if RESULT >= THRESH. To have every test ratio printed, use THRESH = 0. 
[in]  MMAX  MMAX is INTEGER The maximum value permitted for M, used in dimensioning the work arrays. 
[out]  X  X is REAL array, dimension (MMAX*MMAX) 
[out]  XF  XF is REAL array, dimension (MMAX*MMAX) 
[out]  U1  U1 is REAL array, dimension (MMAX*MMAX) 
[out]  U2  U2 is REAL array, dimension (MMAX*MMAX) 
[out]  V1T  V1T is REAL array, dimension (MMAX*MMAX) 
[out]  V2T  V2T is REAL array, dimension (MMAX*MMAX) 
[out]  THETA  THETA is REAL array, dimension (MMAX) 
[out]  IWORK  IWORK is INTEGER array, dimension (MMAX) 
[out]  WORK  WORK is REAL array 
[out]  RWORK  RWORK is REAL array 
[in]  NIN  NIN is INTEGER The unit number for input. 
[in]  NOUT  NOUT is INTEGER The unit number for output. 
[out]  INFO  INFO is INTEGER = 0 : successful exit > 0 : If SLAROR returns an error code, the absolute value of it is returned. 
Definition at line 183 of file sckcsd.f.
subroutine sckglm  (  integer  NN, 
integer, dimension( * )  MVAL,  
integer, dimension( * )  PVAL,  
integer, dimension( * )  NVAL,  
integer  NMATS,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NMAX,  
real, dimension( * )  A,  
real, dimension( * )  AF,  
real, dimension( * )  B,  
real, dimension( * )  BF,  
real, dimension( * )  X,  
real, dimension( * )  WORK,  
real, dimension( * )  RWORK,  
integer  NIN,  
integer  NOUT,  
integer  INFO  
) 
SCKGLM
SCKGLM tests SGGGLM  subroutine for solving generalized linear model problem.
[in]  NN  NN is INTEGER The number of values of N, M and P contained in the vectors NVAL, MVAL and PVAL. 
[in]  MVAL  MVAL is INTEGER array, dimension (NN) The values of the matrix column dimension M. 
[in]  PVAL  PVAL is INTEGER array, dimension (NN) The values of the matrix column dimension P. 
[in]  NVAL  NVAL is INTEGER array, dimension (NN) The values of the matrix row dimension N. 
[in]  NMATS  NMATS is INTEGER The number of matrix types to be tested for each combination of matrix dimensions. If NMATS >= NTYPES (the maximum number of matrix types), then all the different types are generated for testing. If NMATS < NTYPES, another input line is read to get the numbers of the matrix types to be used. 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator. The array elements should be between 0 and 4095, otherwise they will be reduced mod 4096, and ISEED(4) must be odd. On exit, the next seed in the random number sequence after all the test matrices have been generated. 
[in]  THRESH  THRESH is REAL The threshold value for the test ratios. A result is included in the output file if RESID >= THRESH. To have every test ratio printed, use THRESH = 0. 
[in]  NMAX  NMAX is INTEGER The maximum value permitted for M or N, used in dimensioning the work arrays. 
[out]  A  A is REAL array, dimension (NMAX*NMAX) 
[out]  AF  AF is REAL array, dimension (NMAX*NMAX) 
[out]  B  B is REAL array, dimension (NMAX*NMAX) 
[out]  BF  BF is REAL array, dimension (NMAX*NMAX) 
[out]  X  X is REAL array, dimension (4*NMAX) 
[out]  RWORK  RWORK is REAL array, dimension (NMAX) 
[out]  WORK  WORK is REAL array, dimension (NMAX*NMAX) 
[in]  NIN  NIN is INTEGER The unit number for input. 
[in]  NOUT  NOUT is INTEGER The unit number for output. 
[out]  INFO  INFO is INTEGER = 0 : successful exit > 0 : If SLATMS returns an error code, the absolute value of it is returned. 
Definition at line 166 of file sckglm.f.
subroutine sckgqr  (  integer  NM, 
integer, dimension( * )  MVAL,  
integer  NP,  
integer, dimension( * )  PVAL,  
integer  NN,  
integer, dimension( * )  NVAL,  
integer  NMATS,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NMAX,  
real, dimension( * )  A,  
real, dimension( * )  AF,  
real, dimension( * )  AQ,  
real, dimension( * )  AR,  
real, dimension( * )  TAUA,  
real, dimension( * )  B,  
real, dimension( * )  BF,  
real, dimension( * )  BZ,  
real, dimension( * )  BT,  
real, dimension( * )  BWK,  
real, dimension( * )  TAUB,  
real, dimension( * )  WORK,  
real, dimension( * )  RWORK,  
integer  NIN,  
integer  NOUT,  
integer  INFO  
) 
SCKGQR
SCKGQR tests SGGQRF: GQR factorization for NbyM matrix A and NbyP matrix B, SGGRQF: GRQ factorization for MbyN matrix A and PbyN matrix B.
[in]  NM  NM is INTEGER The number of values of M contained in the vector MVAL. 
[in]  MVAL  MVAL is INTEGER array, dimension (NM) The values of the matrix row(column) dimension M. 
[in]  NP  NP is INTEGER The number of values of P contained in the vector PVAL. 
[in]  PVAL  PVAL is INTEGER array, dimension (NP) The values of the matrix row(column) dimension P. 
[in]  NN  NN is INTEGER The number of values of N contained in the vector NVAL. 
[in]  NVAL  NVAL is INTEGER array, dimension (NN) The values of the matrix column(row) dimension N. 
[in]  NMATS  NMATS is INTEGER The number of matrix types to be tested for each combination of matrix dimensions. If NMATS >= NTYPES (the maximum number of matrix types), then all the different types are generated for testing. If NMATS < NTYPES, another input line is read to get the numbers of the matrix types to be used. 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator. The array elements should be between 0 and 4095, otherwise they will be reduced mod 4096, and ISEED(4) must be odd. On exit, the next seed in the random number sequence after all the test matrices have been generated. 
[in]  THRESH  THRESH is REAL The threshold value for the test ratios. A result is included in the output file if RESULT >= THRESH. To have every test ratio printed, use THRESH = 0. 
[in]  NMAX  NMAX is INTEGER The maximum value permitted for M or N, used in dimensioning the work arrays. 
[out]  A  A is REAL array, dimension (NMAX*NMAX) 
[out]  AF  AF is REAL array, dimension (NMAX*NMAX) 
[out]  AQ  AQ is REAL array, dimension (NMAX*NMAX) 
[out]  AR  AR is REAL array, dimension (NMAX*NMAX) 
[out]  TAUA  TAUA is REAL array, dimension (NMAX) 
[out]  B  B is REAL array, dimension (NMAX*NMAX) 
[out]  BF  BF is REAL array, dimension (NMAX*NMAX) 
[out]  BZ  BZ is REAL array, dimension (NMAX*NMAX) 
[out]  BT  BT is REAL array, dimension (NMAX*NMAX) 
[out]  BWK  BWK is REAL array, dimension (NMAX*NMAX) 
[out]  TAUB  TAUB is REAL array, dimension (NMAX) 
[out]  WORK  WORK is REAL array, dimension (NMAX*NMAX) 
[out]  RWORK  RWORK is REAL array, dimension (NMAX) 
[in]  NIN  NIN is INTEGER The unit number for input. 
[in]  NOUT  NOUT is INTEGER The unit number for output. 
[out]  INFO  INFO is INTEGER = 0 : successful exit > 0 : If SLATMS returns an error code, the absolute value of it is returned. 
Definition at line 209 of file sckgqr.f.
subroutine sckgsv  (  integer  NM, 
integer, dimension( * )  MVAL,  
integer, dimension( * )  PVAL,  
integer, dimension( * )  NVAL,  
integer  NMATS,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NMAX,  
real, dimension( * )  A,  
real, dimension( * )  AF,  
real, dimension( * )  B,  
real, dimension( * )  BF,  
real, dimension( * )  U,  
real, dimension( * )  V,  
real, dimension( * )  Q,  
real, dimension( * )  ALPHA,  
real, dimension( * )  BETA,  
real, dimension( * )  R,  
integer, dimension( * )  IWORK,  
real, dimension( * )  WORK,  
real, dimension( * )  RWORK,  
integer  NIN,  
integer  NOUT,  
integer  INFO  
) 
SCKGSV
SCKGSV tests SGGSVD: the GSVD for MbyN matrix A and PbyN matrix B.
[in]  NM  NM is INTEGER The number of values of M contained in the vector MVAL. 
[in]  MVAL  MVAL is INTEGER array, dimension (NM) The values of the matrix row dimension M. 
[in]  PVAL  PVAL is INTEGER array, dimension (NP) The values of the matrix row dimension P. 
[in]  NVAL  NVAL is INTEGER array, dimension (NN) The values of the matrix column dimension N. 
[in]  NMATS  NMATS is INTEGER The number of matrix types to be tested for each combination of matrix dimensions. If NMATS >= NTYPES (the maximum number of matrix types), then all the different types are generated for testing. If NMATS < NTYPES, another input line is read to get the numbers of the matrix types to be used. 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator. The array elements should be between 0 and 4095, otherwise they will be reduced mod 4096, and ISEED(4) must be odd. On exit, the next seed in the random number sequence after all the test matrices have been generated. 
[in]  THRESH  THRESH is REAL The threshold value for the test ratios. A result is included in the output file if RESULT >= THRESH. To have every test ratio printed, use THRESH = 0. 
[in]  NMAX  NMAX is INTEGER The maximum value permitted for M or N, used in dimensioning the work arrays. 
[out]  A  A is REAL array, dimension (NMAX*NMAX) 
[out]  AF  AF is REAL array, dimension (NMAX*NMAX) 
[out]  B  B is REAL array, dimension (NMAX*NMAX) 
[out]  BF  BF is REAL array, dimension (NMAX*NMAX) 
[out]  U  U is REAL array, dimension (NMAX*NMAX) 
[out]  V  V is REAL array, dimension (NMAX*NMAX) 
[out]  Q  Q is REAL array, dimension (NMAX*NMAX) 
[out]  ALPHA  ALPHA is REAL array, dimension (NMAX) 
[out]  BETA  BETA is REAL array, dimension (NMAX) 
[out]  R  R is REAL array, dimension (NMAX*NMAX) 
[out]  IWORK  IWORK is INTEGER array, dimension (NMAX) 
[out]  WORK  WORK is REAL array, dimension (NMAX*NMAX) 
[out]  RWORK  RWORK is REAL array, dimension (NMAX) 
[in]  NIN  NIN is INTEGER The unit number for input. 
[in]  NOUT  NOUT is INTEGER The unit number for output. 
[out]  INFO  INFO is INTEGER = 0 : successful exit > 0 : If SLATMS returns an error code, the absolute value of it is returned. 
Definition at line 197 of file sckgsv.f.
subroutine scklse  (  integer  NN, 
integer, dimension( * )  MVAL,  
integer, dimension( * )  PVAL,  
integer, dimension( * )  NVAL,  
integer  NMATS,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NMAX,  
real, dimension( * )  A,  
real, dimension( * )  AF,  
real, dimension( * )  B,  
real, dimension( * )  BF,  
real, dimension( * )  X,  
real, dimension( * )  WORK,  
real, dimension( * )  RWORK,  
integer  NIN,  
integer  NOUT,  
integer  INFO  
) 
SCKLSE
SCKLSE tests SGGLSE  a subroutine for solving linear equality constrained least square problem (LSE).
[in]  NN  NN is INTEGER The number of values of (M,P,N) contained in the vectors (MVAL, PVAL, NVAL). 
[in]  MVAL  MVAL is INTEGER array, dimension (NN) The values of the matrix row(column) dimension M. 
[in]  PVAL  PVAL is INTEGER array, dimension (NN) The values of the matrix row(column) dimension P. 
[in]  NVAL  NVAL is INTEGER array, dimension (NN) The values of the matrix column(row) dimension N. 
[in]  NMATS  NMATS is INTEGER The number of matrix types to be tested for each combination of matrix dimensions. If NMATS >= NTYPES (the maximum number of matrix types), then all the different types are generated for testing. If NMATS < NTYPES, another input line is read to get the numbers of the matrix types to be used. 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator. The array elements should be between 0 and 4095, otherwise they will be reduced mod 4096, and ISEED(4) must be odd. On exit, the next seed in the random number sequence after all the test matrices have been generated. 
[in]  THRESH  THRESH is REAL The threshold value for the test ratios. A result is included in the output file if RESULT >= THRESH. To have every test ratio printed, use THRESH = 0. 
[in]  NMAX  NMAX is INTEGER The maximum value permitted for M or N, used in dimensioning the work arrays. 
[out]  A  A is REAL array, dimension (NMAX*NMAX) 
[out]  AF  AF is REAL array, dimension (NMAX*NMAX) 
[out]  B  B is REAL array, dimension (NMAX*NMAX) 
[out]  BF  BF is REAL array, dimension (NMAX*NMAX) 
[out]  X  X is REAL array, dimension (5*NMAX) 
[out]  WORK  WORK is REAL array, dimension (NMAX*NMAX) 
[out]  RWORK  RWORK is REAL array, dimension (NMAX) 
[in]  NIN  NIN is INTEGER The unit number for input. 
[in]  NOUT  NOUT is INTEGER The unit number for output. 
[out]  INFO  INFO is INTEGER = 0 : successful exit > 0 : If SLATMS returns an error code, the absolute value of it is returned. 
Definition at line 166 of file scklse.f.
subroutine scsdts  (  integer  M, 
integer  P,  
integer  Q,  
real, dimension( ldx, * )  X,  
real, dimension( ldx, * )  XF,  
integer  LDX,  
real, dimension( ldu1, * )  U1,  
integer  LDU1,  
real, dimension( ldu2, * )  U2,  
integer  LDU2,  
real, dimension( ldv1t, * )  V1T,  
integer  LDV1T,  
real, dimension( ldv2t, * )  V2T,  
integer  LDV2T,  
real, dimension( * )  THETA,  
integer, dimension( * )  IWORK,  
real, dimension( lwork )  WORK,  
integer  LWORK,  
real, dimension( * )  RWORK,  
real, dimension( 9 )  RESULT  
) 
SCSDTS
SCSDTS tests SORCSD, which, given an MbyM partitioned orthogonal matrix X, Q MQ X = [ X11 X12 ] P , [ X21 X22 ] MP computes the CSD [ U1 ]**T * [ X11 X12 ] * [ V1 ] [ U2 ] [ X21 X22 ] [ V2 ] [ I 0 0  0 0 0 ] [ 0 C 0  0 S 0 ] [ 0 0 0  0 0 I ] = [] = [ D11 D12 ] . [ 0 0 0  I 0 0 ] [ D21 D22 ] [ 0 S 0  0 C 0 ] [ 0 0 I  0 0 0 ]
[in]  M  M is INTEGER The number of rows of the matrix X. M >= 0. 
[in]  P  P is INTEGER The number of rows of the matrix X11. P >= 0. 
[in]  Q  Q is INTEGER The number of columns of the matrix X11. Q >= 0. 
[in]  X  X is REAL array, dimension (LDX,M) The MbyM matrix X. 
[out]  XF  XF is REAL array, dimension (LDX,M) Details of the CSD of X, as returned by SORCSD; see SORCSD for further details. 
[in]  LDX  LDX is INTEGER The leading dimension of the arrays X and XF. LDX >= max( 1,M ). 
[out]  U1  U1 is REAL array, dimension(LDU1,P) The PbyP orthogonal matrix U1. 
[in]  LDU1  LDU1 is INTEGER The leading dimension of the array U1. LDU >= max(1,P). 
[out]  U2  U2 is REAL array, dimension(LDU2,MP) The (MP)by(MP) orthogonal matrix U2. 
[in]  LDU2  LDU2 is INTEGER The leading dimension of the array U2. LDU >= max(1,MP). 
[out]  V1T  V1T is REAL array, dimension(LDV1T,Q) The QbyQ orthogonal matrix V1T. 
[in]  LDV1T  LDV1T is INTEGER The leading dimension of the array V1T. LDV1T >= max(1,Q). 
[out]  V2T  V2T is REAL array, dimension(LDV2T,MQ) The (MQ)by(MQ) orthogonal matrix V2T. 
[in]  LDV2T  LDV2T is INTEGER The leading dimension of the array V2T. LDV2T >= max(1,MQ). 
[out]  THETA  THETA is REAL array, dimension MIN(P,MP,Q,MQ) The CS values of X; the essentially diagonal matrices C and S are constructed from THETA; see subroutine SORCSD for details. 
[out]  IWORK  IWORK is INTEGER array, dimension (M) 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The dimension of the array WORK 
[out]  RWORK  RWORK is REAL array 
[out]  RESULT  RESULT is REAL array, dimension (9) The test ratios: RESULT(1) = norm( U1'*X11*V1  D11 ) / ( MAX(1,P,Q)*EPS2 ) RESULT(2) = norm( U1'*X12*V2  D12 ) / ( MAX(1,P,MQ)*EPS2 ) RESULT(3) = norm( U2'*X21*V1  D21 ) / ( MAX(1,MP,Q)*EPS2 ) RESULT(4) = norm( U2'*X22*V2  D22 ) / ( MAX(1,MP,MQ)*EPS2 ) RESULT(5) = norm( I  U1'*U1 ) / ( MAX(1,P)*ULP ) RESULT(6) = norm( I  U2'*U2 ) / ( MAX(1,MP)*ULP ) RESULT(7) = norm( I  V1T'*V1T ) / ( MAX(1,Q)*ULP ) RESULT(8) = norm( I  V2T'*V2T ) / ( MAX(1,MQ)*ULP ) RESULT(9) = 0 if THETA is in increasing order and all angles are in [0,pi/2]; = ULPINV otherwise. ( EPS2 = MAX( norm( I  X'*X ) / M, ULP ). ) 
Definition at line 203 of file scsdts.f.
subroutine sdrges  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  B,  
real, dimension( lda, * )  S,  
real, dimension( lda, * )  T,  
real, dimension( ldq, * )  Q,  
integer  LDQ,  
real, dimension( ldq, * )  Z,  
real, dimension( * )  ALPHAR,  
real, dimension( * )  ALPHAI,  
real, dimension( * )  BETA,  
real, dimension( * )  WORK,  
integer  LWORK,  
real, dimension( 13 )  RESULT,  
logical, dimension( * )  BWORK,  
integer  INFO  
) 
SDRGES
SDRGES checks the nonsymmetric generalized eigenvalue (Schur form) problem driver SGGES. SGGES 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 SDRGES 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. quasitriangular 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 jth and j+1th 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. quasitriangular 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 jth and j+1th 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=(N1)/2 (7) ( D, I ) where D is diag( 0, 1,..., N1 ) (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, ..., N3, 0 ) and D2 is diag( 0, N3, N4,..., 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, ..., N3, 0 ) and diag(T2) = ( 0, N3, N4,..., 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, 1d, ..., 1(N5)*d=s, 0 ) diag(T2) = ( 0, 1, 0, 1, ..., 1, 0 ) N5 (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(N4), 0 ) diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 ) where r1,..., r(N4) are random. (22) Q ( big*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (23) Q ( small*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (24) Q ( small*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (25) Q ( big*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (26) Q ( T1, T2 ) Z where T1 and T2 are random uppertriangular matrices.
[in]  NSIZES  NSIZES is INTEGER The number of sizes of matrices to use. If it is zero, SDRGES does nothing. NSIZES >= 0. 
[in]  NN  NN is INTEGER array, dimension (NSIZES) An array containing the sizes to be used for the matrices. Zero values will be skipped. NN >= 0. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. If it is zero, SDRGES 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. . 
[in]  DOTYPE  DOTYPE is 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. 
[in,out]  ISEED  ISEED is 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 SDRGES to continue the same random number sequence. 
[in]  THRESH  THRESH is 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. THRESH >= 0. 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) 
[in,out]  A  A is REAL 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. 
[in]  LDA  LDA is INTEGER The leading dimension of A, B, S, and T. It must be at least 1 and at least max( NN ). 
[in,out]  B  B is REAL 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. 
[out]  S  S is REAL array, dimension (LDA, max(NN)) The Schur form matrix computed from A by SGGES. On exit, S contains the Schur form matrix corresponding to the matrix in A. 
[out]  T  T is REAL array, dimension (LDA, max(NN)) The upper triangular matrix computed from B by SGGES. 
[out]  Q  Q is REAL array, dimension (LDQ, max(NN)) The (left) orthogonal matrix computed by SGGES. 
[in]  LDQ  LDQ is INTEGER The leading dimension of Q and Z. It must be at least 1 and at least max( NN ). 
[out]  Z  Z is REAL array, dimension( LDQ, max(NN) ) The (right) orthogonal matrix computed by SGGES. 
[out]  ALPHAR  ALPHAR is REAL array, dimension (max(NN)) 
[out]  ALPHAI  ALPHAI is REAL array, dimension (max(NN)) 
[out]  BETA  BETA is REAL array, dimension (max(NN)) The generalized eigenvalues of (A,B) computed by SGGES. ( ALPHAR(k)+ALPHAI(k)*i ) / BETA(k) is the kth generalized eigenvalue of A and B. 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The dimension of the array WORK. LWORK >= MAX( 10*(N+1), 3*N*N ), where N is the largest matrix dimension. 
[out]  RESULT  RESULT is REAL array, dimension (15) The values computed by the tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  BWORK  BWORK is LOGICAL array, dimension (N) 
[out]  INFO  INFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value. > 0: A routine returned an error code. INFO is the absolute value of the INFO value returned. 
Definition at line 401 of file sdrges.f.
subroutine sdrgev  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  B,  
real, dimension( lda, * )  S,  
real, dimension( lda, * )  T,  
real, dimension( ldq, * )  Q,  
integer  LDQ,  
real, dimension( ldq, * )  Z,  
real, dimension( ldqe, * )  QE,  
integer  LDQE,  
real, dimension( * )  ALPHAR,  
real, dimension( * )  ALPHAI,  
real, dimension( * )  BETA,  
real, dimension( * )  ALPHR1,  
real, dimension( * )  ALPHI1,  
real, dimension( * )  BETA1,  
real, dimension( * )  WORK,  
integer  LWORK,  
real, dimension( * )  RESULT,  
integer  INFO  
) 
SDRGEV
SDRGEV checks the nonsymmetric generalized eigenvalue problem driver routine SGGEV. SGGEV computes for a pair of nbyn 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 conjugatetranspose of l. When SDRGEV 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 SGGEV: (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 conjugatetranspose of VL. (2)  VL(i)  1  / ulp and whether largest component real VL(i) denotes the ith 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 ith 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=(N1)/2 (7) ( D, I ) where D is diag( 0, 1,..., N1 ) (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, ..., N3, 0 ) and D2 is diag( 0, N3, N4,..., 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, ..., N3, 0 ) and diag(T2) = ( 0, N3, N4,..., 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, 1d, ..., 1(N5)*d=s, 0 ) diag(T2) = ( 0, 1, 0, 1, ..., 1, 0 ) N5 (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(N4), 0 ) diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 ) where r1,..., r(N4) are random. (22) Q ( big*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (23) Q ( small*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (24) Q ( small*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (25) Q ( big*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (26) Q ( T1, T2 ) Z where T1 and T2 are random uppertriangular matrices.
[in]  NSIZES  NSIZES is INTEGER The number of sizes of matrices to use. If it is zero, SDRGES does nothing. NSIZES >= 0. 
[in]  NN  NN is INTEGER array, dimension (NSIZES) An array containing the sizes to be used for the matrices. Zero values will be skipped. NN >= 0. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. If it is zero, SDRGES 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. . 
[in]  DOTYPE  DOTYPE is 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. 
[in,out]  ISEED  ISEED is 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 SDRGES to continue the same random number sequence. 
[in]  THRESH  THRESH is 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. 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IERR not equal to 0.) 
[in,out]  A  A is REAL 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. 
[in]  LDA  LDA is INTEGER The leading dimension of A, B, S, and T. It must be at least 1 and at least max( NN ). 
[in,out]  B  B is REAL 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. 
[out]  S  S is REAL array, dimension (LDA, max(NN)) The Schur form matrix computed from A by SGGES. On exit, S contains the Schur form matrix corresponding to the matrix in A. 
[out]  T  T is REAL array, dimension (LDA, max(NN)) The upper triangular matrix computed from B by SGGES. 
[out]  Q  Q is REAL array, dimension (LDQ, max(NN)) The (left) eigenvectors matrix computed by SGGEV. 
[in]  LDQ  LDQ is INTEGER The leading dimension of Q and Z. It must be at least 1 and at least max( NN ). 
[out]  Z  Z is REAL array, dimension( LDQ, max(NN) ) The (right) orthogonal matrix computed by SGGES. 
[out]  QE  QE is REAL array, dimension( LDQ, max(NN) ) QE holds the computed right or left eigenvectors. 
[in]  LDQE  LDQE is INTEGER The leading dimension of QE. LDQE >= max(1,max(NN)). 
[out]  ALPHAR  ALPHAR is REAL array, dimension (max(NN)) 
[out]  ALPHAI  ALPHAI is REAL array, dimension (max(NN)) 
[out]  BETA  BETA is REAL array, dimension (max(NN)) \verbatim The generalized eigenvalues of (A,B) computed by SGGEV. ( ALPHAR(k)+ALPHAI(k)*i ) / BETA(k) is the kth generalized eigenvalue of A and B. 
[out]  ALPHR1  ALPHR1 is REAL array, dimension (max(NN)) 
[out]  ALPHI1  ALPHI1 is REAL array, dimension (max(NN)) 
[out]  BETA1  BETA1 is REAL array, dimension (max(NN)) Like ALPHAR, ALPHAI, BETA, these arrays contain the eigenvalues of A and B, but those computed when SGGEV only computes a partial eigendecomposition, i.e. not the eigenvalues and left and right eigenvectors. 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The number of entries in WORK. LWORK >= MAX( 8*N, N*(N+1) ). 
[out]  RESULT  RESULT is REAL array, dimension (2) The values computed by the tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  INFO  INFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value. > 0: A routine returned an error code. INFO is the absolute value of the INFO value returned. 
Definition at line 406 of file sdrgev.f.
subroutine sdrgsx  (  integer  NSIZE, 
integer  NCMAX,  
real  THRESH,  
integer  NIN,  
integer  NOUT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  B,  
real, dimension( lda, * )  AI,  
real, dimension( lda, * )  BI,  
real, dimension( lda, * )  Z,  
real, dimension( lda, * )  Q,  
real, dimension( * )  ALPHAR,  
real, dimension( * )  ALPHAI,  
real, dimension( * )  BETA,  
real, dimension( ldc, * )  C,  
integer  LDC,  
real, dimension( * )  S,  
real, dimension( * )  WORK,  
integer  LWORK,  
integer, dimension( * )  IWORK,  
integer  LIWORK,  
logical, dimension( * )  BWORK,  
integer  INFO  
) 
SDRGSX
SDRGSX checks the nonsymmetric generalized eigenvalue (Schur form) problem expert driver SGGESX. SGGESX 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(1),beta(1)), ..., (alpha(n),beta(n)). Thus, w(j) = alpha(j)/beta(j) is a root of the characteristic equation det( A  w(j) B ) = 0 Optionally it also reorders the eigenvalues so that a selected cluster of eigenvalues appears in the leading diagonal block of the Schur forms; computes a reciprocal condition number for the average of the selected eigenvalues; and computes a reciprocal condition number for the right and left deflating subspaces corresponding to the selected eigenvalues. When SDRGSX is called with NSIZE > 0, five (5) types of builtin matrix pairs are used to test the routine SGGESX. When SDRGSX is called with NSIZE = 0, it reads in test matrix data to test SGGESX. For each matrix pair, the following tests will be performed and compared with the threshhold THRESH except for the tests (7) and (9): (1)  A  Q S Z'  / ( A n ulp ) (2)  B  Q T Z'  / ( B n ulp ) (3)  I  QQ'  / ( n ulp ) (4)  I  ZZ'  / ( n ulp ) (5) if A is in Schur form (i.e. quasitriangular form) (6) 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 jth and j+1th eigenvalues. (7) if sorting worked and SDIM is the number of eigenvalues which were selected. (8) the estimated value DIF does not differ from the true values of Difu and Difl more than a factor 10*THRESH. If the estimate DIF equals zero the corresponding true values of Difu and Difl should be less than EPS*norm(A, B). If the true value of Difu and Difl equal zero, the estimate DIF should be less than EPS*norm(A, B). (9) If INFO = N+3 is returned by SGGESX, the reordering "failed" and we check that DIF = PL = PR = 0 and that the true value of Difu and Difl is < EPS*norm(A, B). We count the events when INFO=N+3. For readin test matrices, the above tests are run except that the exact value for DIF (and PL) is input data. Additionally, there is one more test run for readin test matrices: (10) the estimated value PL does not differ from the true value of PLTRU more than a factor THRESH. If the estimate PL equals zero the corresponding true value of PLTRU should be less than EPS*norm(A, B). If the true value of PLTRU equal zero, the estimate PL should be less than EPS*norm(A, B). Note that for the builtin tests, a total of 10*NSIZE*(NSIZE1) matrix pairs are generated and tested. NSIZE should be kept small. SVD (routine SGESVD) is used for computing the true value of DIF_u and DIF_l when testing the builtin test problems. Builtin Test Matrices ====================== All builtin test matrices are the 2 by 2 block of triangular matrices A = [ A11 A12 ] and B = [ B11 B12 ] [ A22 ] [ B22 ] where for different type of A11 and A22 are given as the following. A12 and B12 are chosen so that the generalized Sylvester equation A11*R  L*A22 = A12 B11*R  L*B22 = B12 have prescribed solution R and L. Type 1: A11 = J_m(1,1) and A_22 = J_k(1a,1). B11 = I_m, B22 = I_k where J_k(a,b) is the kbyk Jordan block with ``a'' on diagonal and ``b'' on superdiagonal. Type 2: A11 = (a_ij) = ( 2(.5sin(i)) ) and B11 = (b_ij) = ( 2(.5sin(ij)) ) for i=1,...,m, j=i,...,m A22 = (a_ij) = ( 2(.5sin(i+j)) ) and B22 = (b_ij) = ( 2(.5sin(ij)) ) for i=m+1,...,k, j=i,...,k Type 3: A11, A22 and B11, B22 are chosen as for Type 2, but each second diagonal block in A_11 and each third diagonal block in A_22 are made as 2 by 2 blocks. Type 4: A11 = ( 20(.5  sin(ij)) ) and B22 = ( 2(.5  sin(i+j)) ) for i=1,...,m, j=1,...,m and A22 = ( 20(.5  sin(i+j)) ) and B22 = ( 2(.5  sin(ij)) ) for i=m+1,...,k, j=m+1,...,k Type 5: (A,B) and have potentially close or common eigenvalues and very large departure from block diagonality A_11 is chosen as the m x m leading submatrix of A_1:  1 b   b 1   1+d b   b 1+d  A_1 =  d 1   1 d   d 1   1 d   1  and A_22 is chosen as the k x k leading submatrix of A_2:  1 b   b 1   1d b   b 1d  A_2 =  d 1+b   1b d   d 1+b   1+b d   1d  and matrix B are chosen as identity matrices (see SLATM5).
[in]  NSIZE  NSIZE is INTEGER The maximum size of the matrices to use. NSIZE >= 0. If NSIZE = 0, no builtin tests matrices are used, but readin test matrices are used to test SGGESX. 
[in]  NCMAX  NCMAX is INTEGER Maximum allowable NMAX for generating Kroneker matrix in call to SLAKF2 
[in]  THRESH  THRESH is 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. THRESH >= 0. 
[in]  NIN  NIN is INTEGER The FORTRAN unit number for reading in the data file of problems to solve. 
[in]  NOUT  NOUT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) 
[out]  A  A is REAL array, dimension (LDA, NSIZE) Used to store the matrix whose eigenvalues are to be computed. On exit, A contains the last matrix actually used. 
[in]  LDA  LDA is INTEGER The leading dimension of A, B, AI, BI, Z and Q, LDA >= max( 1, NSIZE ). For the readin test, LDA >= max( 1, N ), N is the size of the test matrices. 
[out]  B  B is REAL array, dimension (LDA, NSIZE) Used to store the matrix whose eigenvalues are to be computed. On exit, B contains the last matrix actually used. 
[out]  AI  AI is REAL array, dimension (LDA, NSIZE) Copy of A, modified by SGGESX. 
[out]  BI  BI is REAL array, dimension (LDA, NSIZE) Copy of B, modified by SGGESX. 
[out]  Z  Z is REAL array, dimension (LDA, NSIZE) Z holds the left Schur vectors computed by SGGESX. 
[out]  Q  Q is REAL array, dimension (LDA, NSIZE) Q holds the right Schur vectors computed by SGGESX. 
[out]  ALPHAR  ALPHAR is REAL array, dimension (NSIZE) 
[out]  ALPHAI  ALPHAI is REAL array, dimension (NSIZE) 
[out]  BETA  BETA is REAL array, dimension (NSIZE) \verbatim On exit, (ALPHAR + ALPHAI*i)/BETA are the eigenvalues. 
[out]  C  C is REAL array, dimension (LDC, LDC) Store the matrix generated by subroutine SLAKF2, this is the matrix formed by Kronecker products used for estimating DIF. 
[in]  LDC  LDC is INTEGER The leading dimension of C. LDC >= max(1, LDA*LDA/2 ). 
[out]  S  S is REAL array, dimension (LDC) Singular values of C 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The dimension of the array WORK. LWORK >= MAX( 5*NSIZE*NSIZE/2  2, 10*(NSIZE+1) ) 
[out]  IWORK  IWORK is INTEGER array, dimension (LIWORK) 
[in]  LIWORK  LIWORK is INTEGER The dimension of the array IWORK. LIWORK >= NSIZE + 6. 
[out]  BWORK  BWORK is LOGICAL array, dimension (LDA) 
[out]  INFO  INFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value. > 0: A routine returned an error code. 
Definition at line 358 of file sdrgsx.f.
subroutine sdrgvx  (  integer  NSIZE, 
real  THRESH,  
integer  NIN,  
integer  NOUT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  B,  
real, dimension( lda, * )  AI,  
real, dimension( lda, * )  BI,  
real, dimension( * )  ALPHAR,  
real, dimension( * )  ALPHAI,  
real, dimension( * )  BETA,  
real, dimension( lda, * )  VL,  
real, dimension( lda, * )  VR,  
integer  ILO,  
integer  IHI,  
real, dimension( * )  LSCALE,  
real, dimension( * )  RSCALE,  
real, dimension( * )  S,  
real, dimension( * )  STRU,  
real, dimension( * )  DIF,  
real, dimension( * )  DIFTRU,  
real, dimension( * )  WORK,  
integer  LWORK,  
integer, dimension( * )  IWORK,  
integer  LIWORK,  
real, dimension( 4 )  RESULT,  
logical, dimension( * )  BWORK,  
integer  INFO  
) 
SDRGVX
SDRGVX checks the nonsymmetric generalized eigenvalue problem expert driver SGGEVX. SGGEVX computes the generalized eigenvalues, (optionally) the left and/or right eigenvectors, (optionally) computes a balancing transformation to improve the conditioning, and (optionally) reciprocal condition numbers for the eigenvalues and eigenvectors. When SDRGVX is called with NSIZE > 0, two types of test matrix pairs are generated by the subroutine SLATM6 and test the driver SGGEVX. The test matrices have the known exact condition numbers for eigenvalues. For the condition numbers of the eigenvectors corresponding the first and last eigenvalues are also know ``exactly'' (see SLATM6). For each matrix pair, the following tests will be performed and compared with the threshhold THRESH. (1) 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. (2) max over all right eigenvalue/vector pairs (beta/alpha,r) of  (beta A  alpha B) r  / ( ulp max( beta A, alpha B ) ) (3) The condition number S(i) of eigenvalues computed by SGGEVX differs less than a factor THRESH from the exact S(i) (see SLATM6). (4) DIF(i) computed by STGSNA differs less than a factor 10*THRESH from the exact value (for the 1st and 5th vectors only). Test Matrices ============= Two kinds of test matrix pairs (A, B) = inverse(YH) * (Da, Db) * inverse(X) are used in the tests: 1: Da = 1+a 0 0 0 0 Db = 1 0 0 0 0 0 2+a 0 0 0 0 1 0 0 0 0 0 3+a 0 0 0 0 1 0 0 0 0 0 4+a 0 0 0 0 1 0 0 0 0 0 5+a , 0 0 0 0 1 , and 2: Da = 1 1 0 0 0 Db = 1 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1+a 1+b 0 0 0 1 0 0 0 0 1b 1+a , 0 0 0 0 1 . In both cases the same inverse(YH) and inverse(X) are used to compute (A, B), giving the exact eigenvectors to (A,B) as (YH, X): YH: = 1 0 y y y X = 1 0 x x x 0 1 y y y 0 1 x x x 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1, 0 0 0 0 1 , where a, b, x and y will have all values independently of each other from { sqrt(sqrt(ULP)), 0.1, 1, 10, 1/sqrt(sqrt(ULP)) }.
[in]  NSIZE  NSIZE is INTEGER The number of sizes of matrices to use. NSIZE must be at least zero. If it is zero, no randomly generated matrices are tested, but any test matrices read from NIN will be tested. 
[in]  THRESH  THRESH is 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. 
[in]  NIN  NIN is INTEGER The FORTRAN unit number for reading in the data file of problems to solve. 
[in]  NOUT  NOUT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) 
[out]  A  A is REAL array, dimension (LDA, NSIZE) Used to hold the matrix whose eigenvalues are to be computed. On exit, A contains the last matrix actually used. 
[in]  LDA  LDA is INTEGER The leading dimension of A, B, AI, BI, Ao, and Bo. It must be at least 1 and at least NSIZE. 
[out]  B  B is REAL array, dimension (LDA, NSIZE) Used to hold the matrix whose eigenvalues are to be computed. On exit, B contains the last matrix actually used. 
[out]  AI  AI is REAL array, dimension (LDA, NSIZE) Copy of A, modified by SGGEVX. 
[out]  BI  BI is REAL array, dimension (LDA, NSIZE) Copy of B, modified by SGGEVX. 
[out]  ALPHAR  ALPHAR is REAL array, dimension (NSIZE) 
[out]  ALPHAI  ALPHAI is REAL array, dimension (NSIZE) 
[out]  BETA  BETA is REAL array, dimension (NSIZE) On exit, (ALPHAR + ALPHAI*i)/BETA are the eigenvalues. 
[out]  VL  VL is REAL array, dimension (LDA, NSIZE) VL holds the left eigenvectors computed by SGGEVX. 
[out]  VR  VR is REAL array, dimension (LDA, NSIZE) VR holds the right eigenvectors computed by SGGEVX. 
[out]  ILO  ILO is INTEGER 
[out]  IHI  IHI is INTEGER 
[out]  LSCALE  LSCALE is REAL array, dimension (N) 
[out]  RSCALE  RSCALE is REAL array, dimension (N) 
[out]  S  S is REAL array, dimension (N) 
[out]  STRU  STRU is REAL array, dimension (N) 
[out]  DIF  DIF is REAL array, dimension (N) 
[out]  DIFTRU  DIFTRU is REAL array, dimension (N) 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER Leading dimension of WORK. LWORK >= 2*N*N+12*N+16. 
[out]  IWORK  IWORK is INTEGER array, dimension (LIWORK) 
[in]  LIWORK  LIWORK is INTEGER Leading dimension of IWORK. Must be at least N+6. 
[out]  RESULT  RESULT is REAL array, dimension (4) 
[out]  BWORK  BWORK is LOGICAL array, dimension (N) 
[out]  INFO  INFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value. > 0: A routine returned an error code. 
Definition at line 299 of file sdrgvx.f.
subroutine sdrvbd  (  integer  NSIZES, 
integer, dimension( * )  MM,  
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldvt, * )  VT,  
integer  LDVT,  
real, dimension( lda, * )  ASAV,  
real, dimension( ldu, * )  USAV,  
real, dimension( ldvt, * )  VTSAV,  
real, dimension( * )  S,  
real, dimension( * )  SSAV,  
real, dimension( * )  E,  
real, dimension( * )  WORK,  
integer  LWORK,  
integer, dimension( * )  IWORK,  
integer  NOUT,  
integer  INFO  
) 
SDRVBD
SDRVBD checks the singular value decomposition (SVD) drivers SGESVD, SGESDD, SGESVJ, and SGEJSV. Both SGESVD and SGESDD factor A = U diag(S) VT, where U and VT are orthogonal and diag(S) is diagonal with the entries of the array S on its diagonal. The entries of S are the singular values, nonnegative and stored in decreasing order. U and VT can be optionally not computed, overwritten on A, or computed partially. A is M by N. Let MNMIN = min( M, N ). S has dimension MNMIN. U can be M by M or M by MNMIN. VT can be N by N or MNMIN by N. When SDRVBD is called, a number of matrix "sizes" (M's and N's) and a number of matrix "types" are specified. For each size (M,N) and each type of matrix, and for the minimal workspace as well as workspace adequate to permit blocking, an M x N matrix "A" will be generated and used to test the SVD routines. For each matrix, A will be factored as A = U diag(S) VT and the following 12 tests computed: Test for SGESVD: (1)  A  U diag(S) VT  / ( A max(M,N) ulp ) (2)  I  U'U  / ( M ulp ) (3)  I  VT VT'  / ( N ulp ) (4) S contains MNMIN nonnegative values in decreasing order. (Return 0 if true, 1/ULP if false.) (5)  U  Upartial  / ( M ulp ) where Upartial is a partially computed U. (6)  VT  VTpartial  / ( N ulp ) where VTpartial is a partially computed VT. (7)  S  Spartial  / ( MNMIN ulp S ) where Spartial is the vector of singular values from the partial SVD Test for SGESDD: (8)  A  U diag(S) VT  / ( A max(M,N) ulp ) (9)  I  U'U  / ( M ulp ) (10)  I  VT VT'  / ( N ulp ) (11) S contains MNMIN nonnegative values in decreasing order. (Return 0 if true, 1/ULP if false.) (12)  U  Upartial  / ( M ulp ) where Upartial is a partially computed U. (13)  VT  VTpartial  / ( N ulp ) where VTpartial is a partially computed VT. (14)  S  Spartial  / ( MNMIN ulp S ) where Spartial is the vector of singular values from the partial SVD Test for SGESVJ: (15)  A  U diag(S) VT  / ( A max(M,N) ulp ) (16)  I  U'U  / ( M ulp ) (17)  I  VT VT'  / ( N ulp ) (18) S contains MNMIN nonnegative values in decreasing order. (Return 0 if true, 1/ULP if false.) Test for SGEJSV: (19)  A  U diag(S) VT  / ( A max(M,N) ulp ) (20)  I  U'U  / ( M ulp ) (21)  I  VT VT'  / ( N ulp ) (22) S contains MNMIN nonnegative values in decreasing order. (Return 0 if true, 1/ULP if false.) The "sizes" are specified by the arrays MM(1:NSIZES) and NN(1:NSIZES); the value of each element pair (MM(j),NN(j)) specifies one size. The "types" are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. Currently, the list of possible types is: (1) The zero matrix. (2) The identity matrix. (3) A matrix of the form U D V, where U and V are orthogonal and D has evenly spaced entries 1, ..., ULP with random signs on the diagonal. (4) Same as (3), but multiplied by the underflowthreshold / ULP. (5) Same as (3), but multiplied by the overflowthreshold * ULP.
[in]  NSIZES  NSIZES is INTEGER The number of matrix sizes (M,N) contained in the vectors MM and NN. 
[in]  MM  MM is INTEGER array, dimension (NSIZES) The values of the matrix row dimension M. 
[in]  NN  NN is INTEGER array, dimension (NSIZES) The values of the matrix column dimension N. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. If it is zero, SDRVBD 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 matrices are in A and B. This is only useful if DOTYPE(1:MAXTYP) is .FALSE. and DOTYPE(MAXTYP+1) is .TRUE. . 
[in]  DOTYPE  DOTYPE is LOGICAL array, dimension (NTYPES) If DOTYPE(j) is .TRUE., then for each size (m,n), a matrix 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. 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry, 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. On exit, ISEED is changed and can be used in the next call to SDRVBD to continue the same random number sequence. 
[in]  THRESH  THRESH is REAL The threshold value for the test ratios. A result is included in the output file if RESULT >= THRESH. The test ratios are scaled to be O(1), so THRESH should be a small multiple of 1, e.g., 10 or 100. To have every test ratio printed, use THRESH = 0. 
[out]  A  A is REAL array, dimension (LDA,NMAX) where NMAX is the maximum value of N in NN. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= max(1,MMAX), where MMAX is the maximum value of M in MM. 
[out]  U  U is REAL array, dimension (LDU,MMAX) 
[in]  LDU  LDU is INTEGER The leading dimension of the array U. LDU >= max(1,MMAX). 
[out]  VT  VT is REAL array, dimension (LDVT,NMAX) 
[in]  LDVT  LDVT is INTEGER The leading dimension of the array VT. LDVT >= max(1,NMAX). 
[out]  ASAV  ASAV is REAL array, dimension (LDA,NMAX) 
[out]  USAV  USAV is REAL array, dimension (LDU,MMAX) 
[out]  VTSAV  VTSAV is REAL array, dimension (LDVT,NMAX) 
[out]  S  S is REAL array, dimension (max(min(MM,NN))) 
[out]  SSAV  SSAV is REAL array, dimension (max(min(MM,NN))) 
[out]  E  E is REAL array, dimension (max(min(MM,NN))) 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The number of entries in WORK. This must be at least max(3*MN+MX,5*MN4)+2*MN**2 for all pairs pairs (MN,MX)=( min(MM(j),NN(j), max(MM(j),NN(j)) ) 
[out]  IWORK  IWORK is INTEGER array, dimension at least 8*min(M,N) 
[in]  NOUT  NOUT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) 
[out]  INFO  INFO is INTEGER If 0, then everything ran OK. 1: NSIZES < 0 2: Some MM(j) < 0 3: Some NN(j) < 0 4: NTYPES < 0 7: THRESH < 0 10: LDA < 1 or LDA < MMAX, where MMAX is max( MM(j) ). 12: LDU < 1 or LDU < MMAX. 14: LDVT < 1 or LDVT < NMAX, where NMAX is max( NN(j) ). 21: LWORK too small. If SLATMS, or SGESVD returns an error code, the absolute value of it is returned. 
Definition at line 318 of file sdrvbd.f.
subroutine sdrves  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  H,  
real, dimension( lda, * )  HT,  
real, dimension( * )  WR,  
real, dimension( * )  WI,  
real, dimension( * )  WRT,  
real, dimension( * )  WIT,  
real, dimension( ldvs, * )  VS,  
integer  LDVS,  
real, dimension( 13 )  RESULT,  
real, dimension( * )  WORK,  
integer  NWORK,  
integer, dimension( * )  IWORK,  
logical, dimension( * )  BWORK,  
integer  INFO  
) 
SDRVES
SDRVES checks the nonsymmetric eigenvalue (Schur form) problem driver SGEES. When SDRVES 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, 13 tests will be performed: (1) 0 if T is in Schur form, 1/ulp otherwise (no sorting of eigenvalues) (2)  A  VS T VS'  / ( n A ulp ) Here VS is the matrix of Schur eigenvectors, and T is in Schur form (no sorting of eigenvalues). (3)  I  VS VS'  / ( n ulp ) (no sorting of eigenvalues). (4) 0 if WR+sqrt(1)*WI are eigenvalues of T 1/ulp otherwise (no sorting of eigenvalues) (5) 0 if T(with VS) = T(without VS), 1/ulp otherwise (no sorting of eigenvalues) (6) 0 if eigenvalues(with VS) = eigenvalues(without VS), 1/ulp otherwise (no sorting of eigenvalues) (7) 0 if T is in Schur form, 1/ulp otherwise (with sorting of eigenvalues) (8)  A  VS T VS'  / ( n A ulp ) Here VS is the matrix of Schur eigenvectors, and T is in Schur form (with sorting of eigenvalues). (9)  I  VS VS'  / ( n ulp ) (with sorting of eigenvalues). (10) 0 if WR+sqrt(1)*WI are eigenvalues of T 1/ulp otherwise (with sorting of eigenvalues) (11) 0 if T(with VS) = T(without VS), 1/ulp otherwise (with sorting of eigenvalues) (12) 0 if eigenvalues(with VS) = eigenvalues(without VS), 1/ulp otherwise (with sorting of eigenvalues) (13) if sorting worked and SDIM is the number of eigenvalues which were SELECTed The "sizes" are specified by an array NN(1:NSIZES); the value of each element NN(j) specifies one size. The "types" are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. Currently, the list of possible types is: (1) The zero matrix. (2) The identity matrix. (3) A (transposed) Jordan block, with 1's on the diagonal. (4) A diagonal matrix with evenly spaced entries 1, ..., ULP and random signs. (ULP = (first number larger than 1)  1 ) (5) A diagonal matrix with geometrically spaced entries 1, ..., ULP and random signs. (6) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP and random signs. (7) Same as (4), but multiplied by a constant near the overflow threshold (8) Same as (4), but multiplied by a constant near the underflow threshold (9) A matrix of the form U' T U, where U is orthogonal and T has evenly spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (10) A matrix of the form U' T U, where U is orthogonal and T has geometrically spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (11) A matrix of the form U' T U, where U is orthogonal and T has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (12) A matrix of the form U' T U, where U is orthogonal and T has real or complex conjugate paired eigenvalues randomly chosen from ( ULP, 1 ) and random O(1) entries in the upper triangle. (13) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has evenly spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (14) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has geometrically spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (15) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (16) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has real or complex conjugate paired eigenvalues randomly chosen from ( ULP, 1 ) and random O(1) entries in the upper triangle. (17) Same as (16), but multiplied by a constant near the overflow threshold (18) Same as (16), but multiplied by a constant near the underflow threshold (19) Nonsymmetric matrix with random entries chosen from (1,1). If N is at least 4, all entries in first two rows and last row, and first column and last two columns are zero. (20) Same as (19), but multiplied by a constant near the overflow threshold (21) Same as (19), but multiplied by a constant near the underflow threshold
[in]  NSIZES  NSIZES is INTEGER The number of sizes of matrices to use. If it is zero, SDRVES does nothing. It must be at least zero. 
[in]  NN  NN is 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. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. If it is zero, SDRVES 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. . 
[in]  DOTYPE  DOTYPE is 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. 
[in,out]  ISEED  ISEED is 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 SDRVES to continue the same random number sequence. 
[in]  THRESH  THRESH is 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. 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns INFO not equal to 0.) 
[out]  A  A is REAL array, dimension (LDA, max(NN)) Used to hold the matrix whose eigenvalues are to be computed. On exit, A contains the last matrix actually used. 
[in]  LDA  LDA is INTEGER The leading dimension of A, and H. LDA must be at least 1 and at least max(NN). 
[out]  H  H is REAL array, dimension (LDA, max(NN)) Another copy of the test matrix A, modified by SGEES. 
[out]  HT  HT is REAL array, dimension (LDA, max(NN)) Yet another copy of the test matrix A, modified by SGEES. 
[out]  WR  WR is REAL array, dimension (max(NN)) 
[out]  WI  WI is REAL array, dimension (max(NN)) The real and imaginary parts of the eigenvalues of A. On exit, WR + WI*i are the eigenvalues of the matrix in A. 
[out]  WRT  WRT is REAL array, dimension (max(NN)) 
[out]  WIT  WIT is REAL array, dimension (max(NN)) Like WR, WI, these arrays contain the eigenvalues of A, but those computed when SGEES only computes a partial eigendecomposition, i.e. not Schur vectors 
[out]  VS  VS is REAL array, dimension (LDVS, max(NN)) VS holds the computed Schur vectors. 
[in]  LDVS  LDVS is INTEGER Leading dimension of VS. Must be at least max(1,max(NN)). 
[out]  RESULT  RESULT is REAL array, dimension (13) The values computed by the 13 tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  WORK  WORK is REAL array, dimension (NWORK) 
[in]  NWORK  NWORK is INTEGER The number of entries in WORK. This must be at least 5*NN(j)+2*NN(j)**2 for all j. 
[out]  IWORK  IWORK is INTEGER array, dimension (max(NN)) 
[out]  BWORK  BWORK is LOGICAL array, dimension (max(NN)) 
[out]  INFO  INFO is INTEGER If 0, then everything ran OK. 1: NSIZES < 0 2: Some NN(j) < 0 3: NTYPES < 0 6: THRESH < 0 9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ). 17: LDVS < 1 or LDVS < NMAX, where NMAX is max( NN(j) ). 20: NWORK too small. If SLATMR, SLATMS, SLATME or SGEES returns an error code, the absolute value of it is returned.  Some Local Variables and Parameters:      ZERO, ONE Real 0 and 1. MAXTYP The number of types defined. NMAX Largest value in NN. NERRS The number of tests which have exceeded THRESH COND, CONDS, IMODE Values to be passed to the matrix generators. ANORM Norm of A; passed to matrix generators. OVFL, UNFL Overflow and underflow thresholds. ULP, ULPINV Finest relative precision and its inverse. RTULP, RTULPI Square roots of the previous 4 values. The following four arrays decode JTYPE: KTYPE(j) The general type (110) for type "j". KMODE(j) The MODE value to be passed to the matrix generator for type "j". KMAGN(j) The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) ) KCONDS(j) Selectw whether CONDS is to be 1 or 1/sqrt(ulp). (0 means irrelevant.) 
Definition at line 387 of file sdrves.f.
subroutine sdrvev  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  H,  
real, dimension( * )  WR,  
real, dimension( * )  WI,  
real, dimension( * )  WR1,  
real, dimension( * )  WI1,  
real, dimension( ldvl, * )  VL,  
integer  LDVL,  
real, dimension( ldvr, * )  VR,  
integer  LDVR,  
real, dimension( ldlre, * )  LRE,  
integer  LDLRE,  
real, dimension( 7 )  RESULT,  
real, dimension( * )  WORK,  
integer  NWORK,  
integer, dimension( * )  IWORK,  
integer  INFO  
) 
SDRVEV
SDRVEV checks the nonsymmetric eigenvalue problem driver SGEEV. When SDRVEV is called, a number of matrix "sizes" ("n's") and a number of matrix "types" are specified. For each size ("n") and each type of matrix, one matrix will be generated and used to test the nonsymmetric eigenroutines. For each matrix, 7 tests will be performed: (1)  A * VR  VR * W  / ( n A ulp ) Here VR is the matrix of unit right eigenvectors. W is a block diagonal matrix, with a 1x1 block for each real eigenvalue and a 2x2 block for each complex conjugate pair. If eigenvalues j and j+1 are a complex conjugate pair, so WR(j) = WR(j+1) = wr and WI(j) =  WI(j+1) = wi, then the 2 x 2 block corresponding to the pair will be: ( wr wi ) ( wi wr ) Such a block multiplying an n x 2 matrix ( ur ui ) on the right will be the same as multiplying ur + i*ui by wr + i*wi. (2)  A**H * VL  VL * W**H  / ( n A ulp ) Here VL is the matrix of unit left eigenvectors, A**H is the conjugate transpose of A, and W is as above. (3)  VR(i)  1  / ulp and whether largest component real VR(i) denotes the ith column of VR. (4)  VL(i)  1  / ulp and whether largest component real VL(i) denotes the ith column of VL. (5) W(full) = W(partial) W(full) denotes the eigenvalues computed when both VR and VL are also computed, and W(partial) denotes the eigenvalues computed when only W, only W and VR, or only W and VL are computed. (6) VR(full) = VR(partial) VR(full) denotes the right eigenvectors computed when both VR and VL are computed, and VR(partial) denotes the result when only VR is computed. (7) VL(full) = VL(partial) VL(full) denotes the left eigenvectors computed when both VR and VL are also computed, and VL(partial) denotes the result when only VL is computed. The "sizes" are specified by an array NN(1:NSIZES); the value of each element NN(j) specifies one size. The "types" are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. Currently, the list of possible types is: (1) The zero matrix. (2) The identity matrix. (3) A (transposed) Jordan block, with 1's on the diagonal. (4) A diagonal matrix with evenly spaced entries 1, ..., ULP and random signs. (ULP = (first number larger than 1)  1 ) (5) A diagonal matrix with geometrically spaced entries 1, ..., ULP and random signs. (6) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP and random signs. (7) Same as (4), but multiplied by a constant near the overflow threshold (8) Same as (4), but multiplied by a constant near the underflow threshold (9) A matrix of the form U' T U, where U is orthogonal and T has evenly spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (10) A matrix of the form U' T U, where U is orthogonal and T has geometrically spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (11) A matrix of the form U' T U, where U is orthogonal and T has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (12) A matrix of the form U' T U, where U is orthogonal and T has real or complex conjugate paired eigenvalues randomly chosen from ( ULP, 1 ) and random O(1) entries in the upper triangle. (13) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has evenly spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (14) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has geometrically spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (15) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (16) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has real or complex conjugate paired eigenvalues randomly chosen from ( ULP, 1 ) and random O(1) entries in the upper triangle. (17) Same as (16), but multiplied by a constant near the overflow threshold (18) Same as (16), but multiplied by a constant near the underflow threshold (19) Nonsymmetric matrix with random entries chosen from (1,1). If N is at least 4, all entries in first two rows and last row, and first column and last two columns are zero. (20) Same as (19), but multiplied by a constant near the overflow threshold (21) Same as (19), but multiplied by a constant near the underflow threshold
[in]  NSIZES  NSIZES is INTEGER The number of sizes of matrices to use. If it is zero, SDRVEV does nothing. It must be at least zero. 
[in]  NN  NN is 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. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. If it is zero, SDRVEV 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. . 
[in]  DOTYPE  DOTYPE is 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. 
[in,out]  ISEED  ISEED is 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 SDRVEV to continue the same random number sequence. 
[in]  THRESH  THRESH is 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. 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns INFO not equal to 0.) 
[out]  A  A is REAL array, dimension (LDA, max(NN)) Used to hold the matrix whose eigenvalues are to be computed. On exit, A contains the last matrix actually used. 
[in]  LDA  LDA is INTEGER The leading dimension of A, and H. LDA must be at least 1 and at least max(NN). 
[out]  H  H is REAL array, dimension (LDA, max(NN)) Another copy of the test matrix A, modified by SGEEV. 
[out]  WR  WR is REAL array, dimension (max(NN)) 
[out]  WI  WI is REAL array, dimension (max(NN)) The real and imaginary parts of the eigenvalues of A. On exit, WR + WI*i are the eigenvalues of the matrix in A. 
[out]  WR1  WR1 is REAL array, dimension (max(NN)) 
[out]  WI1  WI1 is REAL array, dimension (max(NN)) Like WR, WI, these arrays contain the eigenvalues of A, but those computed when SGEEV only computes a partial eigendecomposition, i.e. not the eigenvalues and left and right eigenvectors. 
[out]  VL  VL is REAL array, dimension (LDVL, max(NN)) VL holds the computed left eigenvectors. 
[in]  LDVL  LDVL is INTEGER Leading dimension of VL. Must be at least max(1,max(NN)). 
[out]  VR  VR is REAL array, dimension (LDVR, max(NN)) VR holds the computed right eigenvectors. 
[in]  LDVR  LDVR is INTEGER Leading dimension of VR. Must be at least max(1,max(NN)). 
[out]  LRE  LRE is REAL array, dimension (LDLRE,max(NN)) LRE holds the computed right or left eigenvectors. 
[in]  LDLRE  LDLRE is INTEGER Leading dimension of LRE. Must be at least max(1,max(NN)). 
[out]  RESULT  RESULT is REAL array, dimension (7) The values computed by the seven tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  WORK  WORK is REAL array, dimension (NWORK) 
[in]  NWORK  NWORK is INTEGER The number of entries in WORK. This must be at least 5*NN(j)+2*NN(j)**2 for all j. 
[out]  IWORK  IWORK is INTEGER array, dimension (max(NN)) 
[out]  INFO  INFO is INTEGER If 0, then everything ran OK. 1: NSIZES < 0 2: Some NN(j) < 0 3: NTYPES < 0 6: THRESH < 0 9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ). 16: LDVL < 1 or LDVL < NMAX, where NMAX is max( NN(j) ). 18: LDVR < 1 or LDVR < NMAX, where NMAX is max( NN(j) ). 20: LDLRE < 1 or LDLRE < NMAX, where NMAX is max( NN(j) ). 23: NWORK too small. If SLATMR, SLATMS, SLATME or SGEEV returns an error code, the absolute value of it is returned.  Some Local Variables and Parameters:      ZERO, ONE Real 0 and 1. MAXTYP The number of types defined. NMAX Largest value in NN. NERRS The number of tests which have exceeded THRESH COND, CONDS, IMODE Values to be passed to the matrix generators. ANORM Norm of A; passed to matrix generators. OVFL, UNFL Overflow and underflow thresholds. ULP, ULPINV Finest relative precision and its inverse. RTULP, RTULPI Square roots of the previous 4 values. The following four arrays decode JTYPE: KTYPE(j) The general type (110) for type "j". KMODE(j) The MODE value to be passed to the matrix generator for type "j". KMAGN(j) The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) ) KCONDS(j) Selectw whether CONDS is to be 1 or 1/sqrt(ulp). (0 means irrelevant.) 
Definition at line 404 of file sdrvev.f.
subroutine sdrvgg  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
real  THRSHN,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  B,  
real, dimension( lda, * )  S,  
real, dimension( lda, * )  T,  
real, dimension( lda, * )  S2,  
real, dimension( lda, * )  T2,  
real, dimension( ldq, * )  Q,  
integer  LDQ,  
real, dimension( ldq, * )  Z,  
real, dimension( * )  ALPHR1,  
real, dimension( * )  ALPHI1,  
real, dimension( * )  BETA1,  
real, dimension( * )  ALPHR2,  
real, dimension( * )  ALPHI2,  
real, dimension( * )  BETA2,  
real, dimension( ldq, * )  VL,  
real, dimension( ldq, * )  VR,  
real, dimension( * )  WORK,  
integer  LWORK,  
real, dimension( * )  RESULT,  
integer  INFO  
) 
SDRVGG
SDRVGG checks the nonsymmetric generalized eigenvalue driver routines. T T T SGEGS 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(1),beta(1)), ..., (alpha(n),beta(n)), where alpha(j)=S(j,j) and beta(j)=P(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 SGEGV 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 SDRVGG 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 SGEGS: T (1)  A  Q S Z  / ( A n ulp ) T (2)  B  Q T Z  / ( B n ulp ) T (3)  I  QQ  / ( n ulp ) T (4)  I  ZZ  / ( n ulp ) (5) 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 jth eigenvalue. Results from SGEGV: (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=(N1)/2 (7) ( D, I ) where D is diag( 0, 1,..., N1 ) (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, ..., N3, 0 ) and D2 is diag( 0, N3, N4,..., 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, ..., N3, 0 ) and diag(T2) = ( 0, N3, N4,..., 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, 1d, ..., 1(N5)*d=s, 0 ) diag(T2) = ( 0, 1, 0, 1, ..., 1, 0 ) N5 (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(N4), 0 ) diag(T2) = ( 0, 1, 0, 1, ..., 1, 0, 0 ) where r1,..., r(N4) are random. (22) Q ( big*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (23) Q ( small*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (24) Q ( small*T1, small*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (25) Q ( big*T1, big*T2 ) Z diag(T1) = ( 0, 0, 1, ..., N3, 0 ) diag(T2) = ( 0, 1, ..., 1, 0, 0 ) (26) Q ( T1, T2 ) Z where T1 and T2 are random uppertriangular matrices.
[in]  NSIZES  NSIZES is INTEGER The number of sizes of matrices to use. If it is zero, SDRVGG does nothing. It must be at least zero. 
[in]  NN  NN is 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. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. If it is zero, SDRVGG 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. . 
[in]  DOTYPE  DOTYPE is 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. 
[in,out]  ISEED  ISEED is 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 SDRVGG to continue the same random number sequence. 
[in]  THRESH  THRESH is 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. 
[in]  THRSHN  THRSHN is 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 510.) 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) 
[in,out]  A  A is REAL 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. 
[in]  LDA  LDA is INTEGER The leading dimension of A, B, S, T, S2, and T2. It must be at least 1 and at least max( NN ). 
[in,out]  B  B is REAL 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. 
[out]  S  S is REAL array, dimension (LDA, max(NN)) The Schur form matrix computed from A by SGEGS. On exit, S contains the Schur form matrix corresponding to the matrix in A. 
[out]  T  T is REAL array, dimension (LDA, max(NN)) The upper triangular matrix computed from B by SGEGS. 
[out]  S2  S2 is REAL array, dimension (LDA, max(NN)) The matrix computed from A by SGEGV. This will be the Schur form of some matrix related to A, but will not, in general, be the same as S. 
[out]  T2  T2 is REAL array, dimension (LDA, max(NN)) The matrix computed from B by SGEGV. This will be the Schur form of some matrix related to B, but will not, in general, be the same as T. 
[out]  Q  Q is REAL array, dimension (LDQ, max(NN)) The (left) orthogonal matrix computed by SGEGS. 
[in]  LDQ  LDQ is INTEGER The leading dimension of Q, Z, VL, and VR. It must be at least 1 and at least max( NN ). 
[out]  Z  Z is REAL array of dimension( LDQ, max(NN) ) The (right) orthogonal matrix computed by SGEGS. 
[out]  ALPHR1  ALPHR1 is REAL array, dimension (max(NN)) 
[out]  ALPHI1  ALPHI1 is REAL array, dimension (max(NN)) 
[out]  BETA1  BETA1 is REAL array, dimension (max(NN)) The generalized eigenvalues of (A,B) computed by SGEGS. ( ALPHR1(k)+ALPHI1(k)*i ) / BETA1(k) is the kth generalized eigenvalue of the matrices in A and B. 
[out]  ALPHR2  ALPHR2 is REAL array, dimension (max(NN)) 
[out]  ALPHI2  ALPHI2 is REAL array, dimension (max(NN)) 
[out]  BETA2  BETA2 is REAL array, dimension (max(NN)) The generalized eigenvalues of (A,B) computed by SGEGV. ( ALPHR2(k)+ALPHI2(k)*i ) / BETA2(k) is the kth generalized eigenvalue of the matrices in A and B. 
[out]  VL  VL is REAL array, dimension (LDQ, max(NN)) The (block lower triangular) left eigenvector matrix for the matrices in A and B. (See STGEVC for the format.) 
[out]  VR  VR is REAL array, dimension (LDQ, max(NN)) The (block upper triangular) right eigenvector matrix for the matrices in A and B. (See STGEVC for the format.) 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The number of entries in WORK. This must be at least 2*N + MAX( 6*N, N*(NB+1), (k+1)*(2*k+N+1) ), where "k" is the sum of the blocksize and numberofshifts for SHGEQZ, and NB is the greatest of the blocksizes for SGEQRF, SORMQR, and SORGQR. (The blocksizes and the numberofshifts are retrieved through calls to ILAENV.) 
[out]  RESULT  RESULT is REAL array, dimension (15) The values computed by the tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  INFO  INFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value. > 0: A routine returned an error code. INFO is the absolute value of the INFO value returned. 
Definition at line 450 of file sdrvgg.f.
subroutine sdrvsg  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldb, * )  B,  
integer  LDB,  
real, dimension( * )  D,  
real, dimension( ldz, * )  Z,  
integer  LDZ,  
real, dimension( lda, * )  AB,  
real, dimension( ldb, * )  BB,  
real, dimension( * )  AP,  
real, dimension( * )  BP,  
real, dimension( * )  WORK,  
integer  NWORK,  
integer, dimension( * )  IWORK,  
integer  LIWORK,  
real, dimension( * )  RESULT,  
integer  INFO  
) 
SDRVSG
SDRVSG checks the real symmetric generalized eigenproblem drivers. SSYGV computes all eigenvalues and, optionally, eigenvectors of a real symmetricdefinite generalized eigenproblem. SSYGVD computes all eigenvalues and, optionally, eigenvectors of a real symmetricdefinite generalized eigenproblem using a divide and conquer algorithm. SSYGVX computes selected eigenvalues and, optionally, eigenvectors of a real symmetricdefinite generalized eigenproblem. SSPGV computes all eigenvalues and, optionally, eigenvectors of a real symmetricdefinite generalized eigenproblem in packed storage. SSPGVD computes all eigenvalues and, optionally, eigenvectors of a real symmetricdefinite generalized eigenproblem in packed storage using a divide and conquer algorithm. SSPGVX computes selected eigenvalues and, optionally, eigenvectors of a real symmetricdefinite generalized eigenproblem in packed storage. SSBGV computes all eigenvalues and, optionally, eigenvectors of a real symmetricdefinite banded generalized eigenproblem. SSBGVD computes all eigenvalues and, optionally, eigenvectors of a real symmetricdefinite banded generalized eigenproblem using a divide and conquer algorithm. SSBGVX computes selected eigenvalues and, optionally, eigenvectors of a real symmetricdefinite banded generalized eigenproblem. When SDRVSG 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 A of the given type will be generated; a random wellconditioned matrix B is also generated and the pair (A,B) is used to test the drivers. For each pair (A,B), the following tests are performed: (1) SSYGV with ITYPE = 1 and UPLO ='U':  A Z  B Z D  / ( A Z n ulp ) (2) as (1) but calling SSPGV (3) as (1) but calling SSBGV (4) as (1) but with UPLO = 'L' (5) as (4) but calling SSPGV (6) as (4) but calling SSBGV (7) SSYGV with ITYPE = 2 and UPLO ='U':  A B Z  Z D  / ( A Z n ulp ) (8) as (7) but calling SSPGV (9) as (7) but with UPLO = 'L' (10) as (9) but calling SSPGV (11) SSYGV with ITYPE = 3 and UPLO ='U':  B A Z  Z D  / ( A Z n ulp ) (12) as (11) but calling SSPGV (13) as (11) but with UPLO = 'L' (14) as (13) but calling SSPGV SSYGVD, SSPGVD and SSBGVD performed the same 14 tests. SSYGVX, SSPGVX and SSBGVX performed the above 14 tests with the parameter RANGE = 'A', 'N' and 'I', respectively. The "sizes" are specified by an array NN(1:NSIZES); the value of each element NN(j) specifies one size. The "types" are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. This type is used for the matrix A which has halfbandwidth KA. B is generated as a wellconditioned positive definite matrix with halfbandwidth KB (<= KA). Currently, the list of possible types for A is: (1) The zero matrix. (2) The identity matrix. (3) A diagonal matrix with evenly spaced entries 1, ..., ULP and random signs. (ULP = (first number larger than 1)  1 ) (4) A diagonal matrix with geometrically spaced entries 1, ..., ULP and random signs. (5) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP and random signs. (6) Same as (4), but multiplied by SQRT( overflow threshold ) (7) Same as (4), but multiplied by SQRT( underflow threshold ) (8) A matrix of the form U* D U, where U is orthogonal and D has evenly spaced entries 1, ..., ULP with random signs on the diagonal. (9) A matrix of the form U* D U, where U is orthogonal and D has geometrically spaced entries 1, ..., ULP with random signs on the diagonal. (10) A matrix of the form U* D U, where U is orthogonal and D has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal. (11) Same as (8), but multiplied by SQRT( overflow threshold ) (12) Same as (8), but multiplied by SQRT( underflow threshold ) (13) symmetric matrix with random entries chosen from (1,1). (14) Same as (13), but multiplied by SQRT( overflow threshold ) (15) Same as (13), but multiplied by SQRT( underflow threshold) (16) Same as (8), but with KA = 1 and KB = 1 (17) Same as (8), but with KA = 2 and KB = 1 (18) Same as (8), but with KA = 2 and KB = 2 (19) Same as (8), but with KA = 3 and KB = 1 (20) Same as (8), but with KA = 3 and KB = 2 (21) Same as (8), but with KA = 3 and KB = 3
NSIZES INTEGER The number of sizes of matrices to use. If it is zero, SDRVSG does nothing. It must be at least zero. Not modified. NN 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. Not modified. NTYPES INTEGER The number of elements in DOTYPE. If it is zero, SDRVSG 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. . Not modified. DOTYPE 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. Not modified. ISEED 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 SDRVSG to continue the same random number sequence. Modified. THRESH 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. Not modified. NOUNIT INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) Not modified. A REAL array, dimension (LDA , max(NN)) Used to hold the matrix whose eigenvalues are to be computed. On exit, A contains the last matrix actually used. Modified. LDA INTEGER The leading dimension of A and AB. It must be at least 1 and at least max( NN ). Not modified. B REAL array, dimension (LDB , max(NN)) Used to hold the symmetric positive definite matrix for the generailzed problem. On exit, B contains the last matrix actually used. Modified. LDB INTEGER The leading dimension of B and BB. It must be at least 1 and at least max( NN ). Not modified. D REAL array, dimension (max(NN)) The eigenvalues of A. On exit, the eigenvalues in D correspond with the matrix in A. Modified. Z REAL array, dimension (LDZ, max(NN)) The matrix of eigenvectors. Modified. LDZ INTEGER The leading dimension of Z. It must be at least 1 and at least max( NN ). Not modified. AB REAL array, dimension (LDA, max(NN)) Workspace. Modified. BB REAL array, dimension (LDB, max(NN)) Workspace. Modified. AP REAL array, dimension (max(NN)**2) Workspace. Modified. BP REAL array, dimension (max(NN)**2) Workspace. Modified. WORK REAL array, dimension (NWORK) Workspace. Modified. NWORK INTEGER The number of entries in WORK. This must be at least 1+5*N+2*N*lg(N)+3*N**2 where N = max( NN(j) ) and lg( N ) = smallest integer k such that 2**k >= N. Not modified. IWORK INTEGER array, dimension (LIWORK) Workspace. Modified. LIWORK INTEGER The number of entries in WORK. This must be at least 6*N. Not modified. RESULT REAL array, dimension (70) The values computed by the 70 tests described above. Modified. INFO INTEGER If 0, then everything ran OK. 1: NSIZES < 0 2: Some NN(j) < 0 3: NTYPES < 0 5: THRESH < 0 9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ). 16: LDZ < 1 or LDZ < NMAX. 21: NWORK too small. 23: LIWORK too small. If SLATMR, SLATMS, SSYGV, SSPGV, SSBGV, SSYGVD, SSPGVD, SSBGVD, SSYGVX, SSPGVX or SSBGVX returns an error code, the absolute value of it is returned. Modified.  Some Local Variables and Parameters:      ZERO, ONE Real 0 and 1. MAXTYP The number of types defined. NTEST The number of tests that have been run on this matrix. NTESTT The total number of tests for this call. NMAX Largest value in NN. NMATS The number of matrices generated so far. NERRS The number of tests which have exceeded THRESH so far (computed by SLAFTS). COND, IMODE Values to be passed to the matrix generators. ANORM Norm of A; passed to matrix generators. OVFL, UNFL Overflow and underflow thresholds. ULP, ULPINV Finest relative precision and its inverse. RTOVFL, RTUNFL Square roots of the previous 2 values. The following four arrays decode JTYPE: KTYPE(j) The general type (110) for type "j". KMODE(j) The MODE value to be passed to the matrix generator for type "j". KMAGN(j) The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) )
Definition at line 354 of file sdrvsg.f.
subroutine sdrvst  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( * )  D1,  
real, dimension( * )  D2,  
real, dimension( * )  D3,  
real, dimension( * )  D4,  
real, dimension( * )  EVEIGS,  
real, dimension( * )  WA1,  
real, dimension( * )  WA2,  
real, dimension( * )  WA3,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldu, * )  V,  
real, dimension( * )  TAU,  
real, dimension( ldu, * )  Z,  
real, dimension( * )  WORK,  
integer  LWORK,  
integer, dimension( * )  IWORK,  
integer  LIWORK,  
real, dimension( * )  RESULT,  
integer  INFO  
) 
SDRVST
SDRVST checks the symmetric eigenvalue problem drivers. SSTEV computes all eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix. SSTEVX computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix. SSTEVR computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix using the Relatively Robust Representation where it can. SSYEV computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix. SSYEVX computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix. SSYEVR computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix using the Relatively Robust Representation where it can. SSPEV computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix in packed storage. SSPEVX computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix in packed storage. SSBEV computes all eigenvalues and, optionally, eigenvectors of a real symmetric band matrix. SSBEVX computes selected eigenvalues and, optionally, eigenvectors of a real symmetric band matrix. SSYEVD computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix using a divide and conquer algorithm. SSPEVD computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix in packed storage, using a divide and conquer algorithm. SSBEVD computes all eigenvalues and, optionally, eigenvectors of a real symmetric band matrix, using a divide and conquer algorithm. When SDRVST 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 appropriate drivers. For each matrix and each driver routine called, the following tests will be performed: (1)  A  Z D Z'  / ( A n ulp ) (2)  I  Z Z'  / ( n ulp ) (3)  D1  D2  / ( D1 ulp ) where Z is the matrix of eigenvectors returned when the eigenvector option is given and D1 and D2 are the eigenvalues returned with and without the eigenvector option. The "sizes" are specified by an array NN(1:NSIZES); the value of each element NN(j) specifies one size. The "types" are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. Currently, the list of possible types is: (1) The zero matrix. (2) The identity matrix. (3) A diagonal matrix with evenly spaced eigenvalues 1, ..., ULP and random signs. (ULP = (first number larger than 1)  1 ) (4) A diagonal matrix with geometrically spaced eigenvalues 1, ..., ULP and random signs. (5) A diagonal matrix with "clustered" eigenvalues 1, ULP, ..., ULP and random signs. (6) Same as (4), but multiplied by SQRT( overflow threshold ) (7) Same as (4), but multiplied by SQRT( underflow threshold ) (8) A matrix of the form U' D U, where U is orthogonal and D has evenly spaced entries 1, ..., ULP with random signs on the diagonal. (9) A matrix of the form U' D U, where U is orthogonal and D has geometrically spaced entries 1, ..., ULP with random signs on the diagonal. (10) A matrix of the form U' D U, where U is orthogonal and D has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal. (11) Same as (8), but multiplied by SQRT( overflow threshold ) (12) Same as (8), but multiplied by SQRT( underflow threshold ) (13) Symmetric matrix with random entries chosen from (1,1). (14) Same as (13), but multiplied by SQRT( overflow threshold ) (15) Same as (13), but multiplied by SQRT( underflow threshold ) (16) A band matrix with half bandwidth randomly chosen between 0 and N1, with evenly spaced eigenvalues 1, ..., ULP with random signs. (17) Same as (16), but multiplied by SQRT( overflow threshold ) (18) Same as (16), but multiplied by SQRT( underflow threshold )
NSIZES INTEGER The number of sizes of matrices to use. If it is zero, SDRVST does nothing. It must be at least zero. Not modified. NN 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. Not modified. NTYPES INTEGER The number of elements in DOTYPE. If it is zero, SDRVST 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. . Not modified. DOTYPE 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. Not modified. ISEED 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 SDRVST to continue the same random number sequence. Modified. THRESH 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. Not modified. NOUNIT INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns IINFO not equal to 0.) Not modified. A REAL array, dimension (LDA , max(NN)) Used to hold the matrix whose eigenvalues are to be computed. On exit, A contains the last matrix actually used. Modified. LDA INTEGER The leading dimension of A. It must be at least 1 and at least max( NN ). Not modified. D1 REAL array, dimension (max(NN)) The eigenvalues of A, as computed by SSTEQR simlutaneously with Z. On exit, the eigenvalues in D1 correspond with the matrix in A. Modified. D2 REAL array, dimension (max(NN)) The eigenvalues of A, as computed by SSTEQR if Z is not computed. On exit, the eigenvalues in D2 correspond with the matrix in A. Modified. D3 REAL array, dimension (max(NN)) The eigenvalues of A, as computed by SSTERF. On exit, the eigenvalues in D3 correspond with the matrix in A. Modified. D4 REAL array, dimension EVEIGS REAL array, dimension (max(NN)) The eigenvalues as computed by SSTEV('N', ... ) (I reserve the right to change this to the output of whichever algorithm computes the most accurate eigenvalues). WA1 REAL array, dimension WA2 REAL array, dimension WA3 REAL array, dimension U REAL array, dimension (LDU, max(NN)) The orthogonal matrix computed by SSYTRD + SORGTR. Modified. LDU INTEGER The leading dimension of U, Z, and V. It must be at least 1 and at least max( NN ). Not modified. V REAL array, dimension (LDU, max(NN)) The Housholder vectors computed by SSYTRD in reducing A to tridiagonal form. Modified. TAU REAL array, dimension (max(NN)) The Householder factors computed by SSYTRD in reducing A to tridiagonal form. Modified. Z REAL array, dimension (LDU, max(NN)) The orthogonal matrix of eigenvectors computed by SSTEQR, SPTEQR, and SSTEIN. Modified. WORK REAL array, dimension (LWORK) Workspace. Modified. LWORK INTEGER The number of entries in WORK. This must be at least 1 + 4 * Nmax + 2 * Nmax * lg Nmax + 4 * Nmax**2 where Nmax = max( NN(j), 2 ) and lg = log base 2. Not modified. IWORK INTEGER array, dimension (6 + 6*Nmax + 5 * Nmax * lg Nmax ) where Nmax = max( NN(j), 2 ) and lg = log base 2. Workspace. Modified. RESULT REAL array, dimension (105) The values computed by the tests described above. The values are currently limited to 1/ulp, to avoid overflow. Modified. INFO INTEGER If 0, then everything ran OK. 1: NSIZES < 0 2: Some NN(j) < 0 3: NTYPES < 0 5: THRESH < 0 9: LDA < 1 or LDA < NMAX, where NMAX is max( NN(j) ). 16: LDU < 1 or LDU < NMAX. 21: LWORK too small. If SLATMR, SLATMS, SSYTRD, SORGTR, SSTEQR, SSTERF, or SORMTR returns an error code, the absolute value of it is returned. Modified.  Some Local Variables and Parameters:      ZERO, ONE Real 0 and 1. MAXTYP The number of types defined. NTEST The number of tests performed, or which can be performed so far, for the current matrix. NTESTT The total number of tests performed so far. NMAX Largest value in NN. NMATS The number of matrices generated so far. NERRS The number of tests which have exceeded THRESH so far (computed by SLAFTS). COND, IMODE Values to be passed to the matrix generators. ANORM Norm of A; passed to matrix generators. OVFL, UNFL Overflow and underflow thresholds. ULP, ULPINV Finest relative precision and its inverse. RTOVFL, RTUNFL Square roots of the previous 2 values. The following four arrays decode JTYPE: KTYPE(j) The general type (110) for type "j". KMODE(j) The MODE value to be passed to the matrix generator for type "j". KMAGN(j) The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) ) The tests performed are: Routine tested 1=  A  U S U'  / ( A n ulp ) SSTEV('V', ... ) 2=  I  U U'  / ( n ulp ) SSTEV('V', ... ) 3= D(with Z)  D(w/o Z) / (D ulp) SSTEV('N', ... ) 4=  A  U S U'  / ( A n ulp ) SSTEVX('V','A', ... ) 5=  I  U U'  / ( n ulp ) SSTEVX('V','A', ... ) 6= D(with Z)  EVEIGS / (D ulp) SSTEVX('N','A', ... ) 7=  A  U S U'  / ( A n ulp ) SSTEVR('V','A', ... ) 8=  I  U U'  / ( n ulp ) SSTEVR('V','A', ... ) 9= D(with Z)  EVEIGS / (D ulp) SSTEVR('N','A', ... ) 10=  A  U S U'  / ( A n ulp ) SSTEVX('V','I', ... ) 11=  I  U U'  / ( n ulp ) SSTEVX('V','I', ... ) 12= D(with Z)  D(w/o Z) / (D ulp) SSTEVX('N','I', ... ) 13=  A  U S U'  / ( A n ulp ) SSTEVX('V','V', ... ) 14=  I  U U'  / ( n ulp ) SSTEVX('V','V', ... ) 15= D(with Z)  D(w/o Z) / (D ulp) SSTEVX('N','V', ... ) 16=  A  U S U'  / ( A n ulp ) SSTEVD('V', ... ) 17=  I  U U'  / ( n ulp ) SSTEVD('V', ... ) 18= D(with Z)  EVEIGS / (D ulp) SSTEVD('N', ... ) 19=  A  U S U'  / ( A n ulp ) SSTEVR('V','I', ... ) 20=  I  U U'  / ( n ulp ) SSTEVR('V','I', ... ) 21= D(with Z)  D(w/o Z) / (D ulp) SSTEVR('N','I', ... ) 22=  A  U S U'  / ( A n ulp ) SSTEVR('V','V', ... ) 23=  I  U U'  / ( n ulp ) SSTEVR('V','V', ... ) 24= D(with Z)  D(w/o Z) / (D ulp) SSTEVR('N','V', ... ) 25=  A  U S U'  / ( A n ulp ) SSYEV('L','V', ... ) 26=  I  U U'  / ( n ulp ) SSYEV('L','V', ... ) 27= D(with Z)  D(w/o Z) / (D ulp) SSYEV('L','N', ... ) 28=  A  U S U'  / ( A n ulp ) SSYEVX('L','V','A', ... ) 29=  I  U U'  / ( n ulp ) SSYEVX('L','V','A', ... ) 30= D(with Z)  D(w/o Z) / (D ulp) SSYEVX('L','N','A', ... ) 31=  A  U S U'  / ( A n ulp ) SSYEVX('L','V','I', ... ) 32=  I  U U'  / ( n ulp ) SSYEVX('L','V','I', ... ) 33= D(with Z)  D(w/o Z) / (D ulp) SSYEVX('L','N','I', ... ) 34=  A  U S U'  / ( A n ulp ) SSYEVX('L','V','V', ... ) 35=  I  U U'  / ( n ulp ) SSYEVX('L','V','V', ... ) 36= D(with Z)  D(w/o Z) / (D ulp) SSYEVX('L','N','V', ... ) 37=  A  U S U'  / ( A n ulp ) SSPEV('L','V', ... ) 38=  I  U U'  / ( n ulp ) SSPEV('L','V', ... ) 39= D(with Z)  D(w/o Z) / (D ulp) SSPEV('L','N', ... ) 40=  A  U S U'  / ( A n ulp ) SSPEVX('L','V','A', ... ) 41=  I  U U'  / ( n ulp ) SSPEVX('L','V','A', ... ) 42= D(with Z)  D(w/o Z) / (D ulp) SSPEVX('L','N','A', ... ) 43=  A  U S U'  / ( A n ulp ) SSPEVX('L','V','I', ... ) 44=  I  U U'  / ( n ulp ) SSPEVX('L','V','I', ... ) 45= D(with Z)  D(w/o Z) / (D ulp) SSPEVX('L','N','I', ... ) 46=  A  U S U'  / ( A n ulp ) SSPEVX('L','V','V', ... ) 47=  I  U U'  / ( n ulp ) SSPEVX('L','V','V', ... ) 48= D(with Z)  D(w/o Z) / (D ulp) SSPEVX('L','N','V', ... ) 49=  A  U S U'  / ( A n ulp ) SSBEV('L','V', ... ) 50=  I  U U'  / ( n ulp ) SSBEV('L','V', ... ) 51= D(with Z)  D(w/o Z) / (D ulp) SSBEV('L','N', ... ) 52=  A  U S U'  / ( A n ulp ) SSBEVX('L','V','A', ... ) 53=  I  U U'  / ( n ulp ) SSBEVX('L','V','A', ... ) 54= D(with Z)  D(w/o Z) / (D ulp) SSBEVX('L','N','A', ... ) 55=  A  U S U'  / ( A n ulp ) SSBEVX('L','V','I', ... ) 56=  I  U U'  / ( n ulp ) SSBEVX('L','V','I', ... ) 57= D(with Z)  D(w/o Z) / (D ulp) SSBEVX('L','N','I', ... ) 58=  A  U S U'  / ( A n ulp ) SSBEVX('L','V','V', ... ) 59=  I  U U'  / ( n ulp ) SSBEVX('L','V','V', ... ) 60= D(with Z)  D(w/o Z) / (D ulp) SSBEVX('L','N','V', ... ) 61=  A  U S U'  / ( A n ulp ) SSYEVD('L','V', ... ) 62=  I  U U'  / ( n ulp ) SSYEVD('L','V', ... ) 63= D(with Z)  D(w/o Z) / (D ulp) SSYEVD('L','N', ... ) 64=  A  U S U'  / ( A n ulp ) SSPEVD('L','V', ... ) 65=  I  U U'  / ( n ulp ) SSPEVD('L','V', ... ) 66= D(with Z)  D(w/o Z) / (D ulp) SSPEVD('L','N', ... ) 67=  A  U S U'  / ( A n ulp ) SSBEVD('L','V', ... ) 68=  I  U U'  / ( n ulp ) SSBEVD('L','V', ... ) 69= D(with Z)  D(w/o Z) / (D ulp) SSBEVD('L','N', ... ) 70=  A  U S U'  / ( A n ulp ) SSYEVR('L','V','A', ... ) 71=  I  U U'  / ( n ulp ) SSYEVR('L','V','A', ... ) 72= D(with Z)  D(w/o Z) / (D ulp) SSYEVR('L','N','A', ... ) 73=  A  U S U'  / ( A n ulp ) SSYEVR('L','V','I', ... ) 74=  I  U U'  / ( n ulp ) SSYEVR('L','V','I', ... ) 75= D(with Z)  D(w/o Z) / (D ulp) SSYEVR('L','N','I', ... ) 76=  A  U S U'  / ( A n ulp ) SSYEVR('L','V','V', ... ) 77=  I  U U'  / ( n ulp ) SSYEVR('L','V','V', ... ) 78= D(with Z)  D(w/o Z) / (D ulp) SSYEVR('L','N','V', ... ) Tests 25 through 78 are repeated (as tests 79 through 132) with UPLO='U' To be added in 1999 79=  A  U S U'  / ( A n ulp ) SSPEVR('L','V','A', ... ) 80=  I  U U'  / ( n ulp ) SSPEVR('L','V','A', ... ) 81= D(with Z)  D(w/o Z) / (D ulp) SSPEVR('L','N','A', ... ) 82=  A  U S U'  / ( A n ulp ) SSPEVR('L','V','I', ... ) 83=  I  U U'  / ( n ulp ) SSPEVR('L','V','I', ... ) 84= D(with Z)  D(w/o Z) / (D ulp) SSPEVR('L','N','I', ... ) 85=  A  U S U'  / ( A n ulp ) SSPEVR('L','V','V', ... ) 86=  I  U U'  / ( n ulp ) SSPEVR('L','V','V', ... ) 87= D(with Z)  D(w/o Z) / (D ulp) SSPEVR('L','N','V', ... ) 88=  A  U S U'  / ( A n ulp ) SSBEVR('L','V','A', ... ) 89=  I  U U'  / ( n ulp ) SSBEVR('L','V','A', ... ) 90= D(with Z)  D(w/o Z) / (D ulp) SSBEVR('L','N','A', ... ) 91=  A  U S U'  / ( A n ulp ) SSBEVR('L','V','I', ... ) 92=  I  U U'  / ( n ulp ) SSBEVR('L','V','I', ... ) 93= D(with Z)  D(w/o Z) / (D ulp) SSBEVR('L','N','I', ... ) 94=  A  U S U'  / ( A n ulp ) SSBEVR('L','V','V', ... ) 95=  I  U U'  / ( n ulp ) SSBEVR('L','V','V', ... ) 96= D(with Z)  D(w/o Z) / (D ulp) SSBEVR('L','N','V', ... )
Definition at line 451 of file sdrvst.f.
subroutine sdrvsx  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NIUNIT,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  H,  
real, dimension( lda, * )  HT,  
real, dimension( * )  WR,  
real, dimension( * )  WI,  
real, dimension( * )  WRT,  
real, dimension( * )  WIT,  
real, dimension( * )  WRTMP,  
real, dimension( * )  WITMP,  
real, dimension( ldvs, * )  VS,  
integer  LDVS,  
real, dimension( ldvs, * )  VS1,  
real, dimension( 17 )  RESULT,  
real, dimension( * )  WORK,  
integer  LWORK,  
integer, dimension( * )  IWORK,  
logical, dimension( * )  BWORK,  
integer  INFO  
) 
SDRVSX
SDRVSX checks the nonsymmetric eigenvalue (Schur form) problem expert driver SGEESX. SDRVSX uses both test matrices generated randomly depending on data supplied in the calling sequence, as well as on data read from an input file and including precomputed condition numbers to which it compares the ones it computes. When SDRVSX 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, 15 tests will be performed: (1) 0 if T is in Schur form, 1/ulp otherwise (no sorting of eigenvalues) (2)  A  VS T VS'  / ( n A ulp ) Here VS is the matrix of Schur eigenvectors, and T is in Schur form (no sorting of eigenvalues). (3)  I  VS VS'  / ( n ulp ) (no sorting of eigenvalues). (4) 0 if WR+sqrt(1)*WI are eigenvalues of T 1/ulp otherwise (no sorting of eigenvalues) (5) 0 if T(with VS) = T(without VS), 1/ulp otherwise (no sorting of eigenvalues) (6) 0 if eigenvalues(with VS) = eigenvalues(without VS), 1/ulp otherwise (no sorting of eigenvalues) (7) 0 if T is in Schur form, 1/ulp otherwise (with sorting of eigenvalues) (8)  A  VS T VS'  / ( n A ulp ) Here VS is the matrix of Schur eigenvectors, and T is in Schur form (with sorting of eigenvalues). (9)  I  VS VS'  / ( n ulp ) (with sorting of eigenvalues). (10) 0 if WR+sqrt(1)*WI are eigenvalues of T 1/ulp otherwise If workspace sufficient, also compare WR, WI with and without reciprocal condition numbers (with sorting of eigenvalues) (11) 0 if T(with VS) = T(without VS), 1/ulp otherwise If workspace sufficient, also compare T with and without reciprocal condition numbers (with sorting of eigenvalues) (12) 0 if eigenvalues(with VS) = eigenvalues(without VS), 1/ulp otherwise If workspace sufficient, also compare VS with and without reciprocal condition numbers (with sorting of eigenvalues) (13) if sorting worked and SDIM is the number of eigenvalues which were SELECTed If workspace sufficient, also compare SDIM with and without reciprocal condition numbers (14) if RCONDE the same no matter if VS and/or RCONDV computed (15) if RCONDV the same no matter if VS and/or RCONDE computed The "sizes" are specified by an array NN(1:NSIZES); the value of each element NN(j) specifies one size. The "types" are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. Currently, the list of possible types is: (1) The zero matrix. (2) The identity matrix. (3) A (transposed) Jordan block, with 1's on the diagonal. (4) A diagonal matrix with evenly spaced entries 1, ..., ULP and random signs. (ULP = (first number larger than 1)  1 ) (5) A diagonal matrix with geometrically spaced entries 1, ..., ULP and random signs. (6) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP and random signs. (7) Same as (4), but multiplied by a constant near the overflow threshold (8) Same as (4), but multiplied by a constant near the underflow threshold (9) A matrix of the form U' T U, where U is orthogonal and T has evenly spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (10) A matrix of the form U' T U, where U is orthogonal and T has geometrically spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (11) A matrix of the form U' T U, where U is orthogonal and T has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (12) A matrix of the form U' T U, where U is orthogonal and T has real or complex conjugate paired eigenvalues randomly chosen from ( ULP, 1 ) and random O(1) entries in the upper triangle. (13) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has evenly spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (14) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has geometrically spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (15) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (16) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has real or complex conjugate paired eigenvalues randomly chosen from ( ULP, 1 ) and random O(1) entries in the upper triangle. (17) Same as (16), but multiplied by a constant near the overflow threshold (18) Same as (16), but multiplied by a constant near the underflow threshold (19) Nonsymmetric matrix with random entries chosen from (1,1). If N is at least 4, all entries in first two rows and last row, and first column and last two columns are zero. (20) Same as (19), but multiplied by a constant near the overflow threshold (21) Same as (19), but multiplied by a constant near the underflow threshold In addition, an input file will be read from logical unit number NIUNIT. The file contains matrices along with precomputed eigenvalues and reciprocal condition numbers for the eigenvalue average and right invariant subspace. For these matrices, in addition to tests (1) to (15) we will compute the following two tests: (16) RCONDE  RCDEIN / cond(RCONDE) RCONDE is the reciprocal average eigenvalue condition number computed by SGEESX and RCDEIN (the precomputed true value) is supplied as input. cond(RCONDE) is the condition number of RCONDE, and takes errors in computing RCONDE into account, so that the resulting quantity should be O(ULP). cond(RCONDE) is essentially given by norm(A)/RCONDV. (17) RCONDV  RCDVIN / cond(RCONDV) RCONDV is the reciprocal right invariant subspace condition number computed by SGEESX and RCDVIN (the precomputed true value) is supplied as input. cond(RCONDV) is the condition number of RCONDV, and takes errors in computing RCONDV into account, so that the resulting quantity should be O(ULP). cond(RCONDV) is essentially given by norm(A)/RCONDE.
[in]  NSIZES  NSIZES is INTEGER The number of sizes of matrices to use. NSIZES must be at least zero. If it is zero, no randomly generated matrices are tested, but any test matrices read from NIUNIT will be tested. 
[in]  NN  NN is 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. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. NTYPES must be at least zero. If it is zero, no randomly generated test matrices are tested, but and test matrices read from NIUNIT will be tested. 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. . 
[in]  DOTYPE  DOTYPE is 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. 
[in,out]  ISEED  ISEED is 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 SDRVSX to continue the same random number sequence. 
[in]  THRESH  THRESH is 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. 
[in]  NIUNIT  NIUNIT is INTEGER The FORTRAN unit number for reading in the data file of problems to solve. 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns INFO not equal to 0.) 
[out]  A  A is REAL array, dimension (LDA, max(NN)) Used to hold the matrix whose eigenvalues are to be computed. On exit, A contains the last matrix actually used. 
[in]  LDA  LDA is INTEGER The leading dimension of A, and H. LDA must be at least 1 and at least max( NN ). 
[out]  H  H is REAL array, dimension (LDA, max(NN)) Another copy of the test matrix A, modified by SGEESX. 
[out]  HT  HT is REAL array, dimension (LDA, max(NN)) Yet another copy of the test matrix A, modified by SGEESX. 
[out]  WR  WR is REAL array, dimension (max(NN)) 
[out]  WI  WI is REAL array, dimension (max(NN)) The real and imaginary parts of the eigenvalues of A. On exit, WR + WI*i are the eigenvalues of the matrix in A. 
[out]  WRT  WRT is REAL array, dimension (max(NN)) 
[out]  WIT  WIT is REAL array, dimension (max(NN)) Like WR, WI, these arrays contain the eigenvalues of A, but those computed when SGEESX only computes a partial eigendecomposition, i.e. not Schur vectors 
[out]  WRTMP  WRTMP is REAL array, dimension (max(NN)) 
[out]  WITMP  WITMP is REAL array, dimension (max(NN)) More temporary storage for eigenvalues. 
[out]  VS  VS is REAL array, dimension (LDVS, max(NN)) VS holds the computed Schur vectors. 
[in]  LDVS  LDVS is INTEGER Leading dimension of VS. Must be at least max(1,max(NN)). 
[out]  VS1  VS1 is REAL array, dimension (LDVS, max(NN)) VS1 holds another copy of the computed Schur vectors. 
[out]  RESULT  RESULT is REAL array, dimension (17) The values computed by the 17 tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The number of entries in WORK. This must be at least max(3*NN(j),2*NN(j)**2) for all j. 
[out]  IWORK  IWORK is INTEGER array, dimension (max(NN)*max(NN)) 
[out]  BWORK  BWORK is LOGICAL array, dimension (max(NN)) 
[out]  INFO  INFO is INTEGER If 0, successful exit. <0, input parameter INFO is incorrect >0, SLATMR, SLATMS, SLATME or SGET24 returned an error code and INFO is its absolute value  Some Local Variables and Parameters:      ZERO, ONE Real 0 and 1. MAXTYP The number of types defined. NMAX Largest value in NN. NERRS The number of tests which have exceeded THRESH COND, CONDS, IMODE Values to be passed to the matrix generators. ANORM Norm of A; passed to matrix generators. OVFL, UNFL Overflow and underflow thresholds. ULP, ULPINV Finest relative precision and its inverse. RTULP, RTULPI Square roots of the previous 4 values. The following four arrays decode JTYPE: KTYPE(j) The general type (110) for type "j". KMODE(j) The MODE value to be passed to the matrix generator for type "j". KMAGN(j) The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) ) KCONDS(j) Selectw whether CONDS is to be 1 or 1/sqrt(ulp). (0 means irrelevant.) 
Definition at line 452 of file sdrvsx.f.
subroutine sdrvvx  (  integer  NSIZES, 
integer, dimension( * )  NN,  
integer  NTYPES,  
logical, dimension( * )  DOTYPE,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  NIUNIT,  
integer  NOUNIT,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  H,  
real, dimension( * )  WR,  
real, dimension( * )  WI,  
real, dimension( * )  WR1,  
real, dimension( * )  WI1,  
real, dimension( ldvl, * )  VL,  
integer  LDVL,  
real, dimension( ldvr, * )  VR,  
integer  LDVR,  
real, dimension( ldlre, * )  LRE,  
integer  LDLRE,  
real, dimension( * )  RCONDV,  
real, dimension( * )  RCNDV1,  
real, dimension( * )  RCDVIN,  
real, dimension( * )  RCONDE,  
real, dimension( * )  RCNDE1,  
real, dimension( * )  RCDEIN,  
real, dimension( * )  SCALE,  
real, dimension( * )  SCALE1,  
real, dimension( 11 )  RESULT,  
real, dimension( * )  WORK,  
integer  NWORK,  
integer, dimension( * )  IWORK,  
integer  INFO  
) 
SDRVVX
SDRVVX checks the nonsymmetric eigenvalue problem expert driver SGEEVX. SDRVVX uses both test matrices generated randomly depending on data supplied in the calling sequence, as well as on data read from an input file and including precomputed condition numbers to which it compares the ones it computes. When SDRVVX is called, a number of matrix "sizes" ("n's") and a number of matrix "types" are specified in the calling sequence. For each size ("n") and each type of matrix, one matrix will be generated and used to test the nonsymmetric eigenroutines. For each matrix, 9 tests will be performed: (1)  A * VR  VR * W  / ( n A ulp ) Here VR is the matrix of unit right eigenvectors. W is a block diagonal matrix, with a 1x1 block for each real eigenvalue and a 2x2 block for each complex conjugate pair. If eigenvalues j and j+1 are a complex conjugate pair, so WR(j) = WR(j+1) = wr and WI(j) =  WI(j+1) = wi, then the 2 x 2 block corresponding to the pair will be: ( wr wi ) ( wi wr ) Such a block multiplying an n x 2 matrix ( ur ui ) on the right will be the same as multiplying ur + i*ui by wr + i*wi. (2)  A**H * VL  VL * W**H  / ( n A ulp ) Here VL is the matrix of unit left eigenvectors, A**H is the conjugate transpose of A, and W is as above. (3)  VR(i)  1  / ulp and largest component real VR(i) denotes the ith column of VR. (4)  VL(i)  1  / ulp and largest component real VL(i) denotes the ith column of VL. (5) W(full) = W(partial) W(full) denotes the eigenvalues computed when VR, VL, RCONDV and RCONDE are also computed, and W(partial) denotes the eigenvalues computed when only some of VR, VL, RCONDV, and RCONDE are computed. (6) VR(full) = VR(partial) VR(full) denotes the right eigenvectors computed when VL, RCONDV and RCONDE are computed, and VR(partial) denotes the result when only some of VL and RCONDV are computed. (7) VL(full) = VL(partial) VL(full) denotes the left eigenvectors computed when VR, RCONDV and RCONDE are computed, and VL(partial) denotes the result when only some of VR and RCONDV are computed. (8) 0 if SCALE, ILO, IHI, ABNRM (full) = SCALE, ILO, IHI, ABNRM (partial) 1/ulp otherwise SCALE, ILO, IHI and ABNRM describe how the matrix is balanced. (full) is when VR, VL, RCONDE and RCONDV are also computed, and (partial) is when some are not computed. (9) RCONDV(full) = RCONDV(partial) RCONDV(full) denotes the reciprocal condition numbers of the right eigenvectors computed when VR, VL and RCONDE are also computed. RCONDV(partial) denotes the reciprocal condition numbers when only some of VR, VL and RCONDE are computed. The "sizes" are specified by an array NN(1:NSIZES); the value of each element NN(j) specifies one size. The "types" are specified by a logical array DOTYPE( 1:NTYPES ); if DOTYPE(j) is .TRUE., then matrix type "j" will be generated. Currently, the list of possible types is: (1) The zero matrix. (2) The identity matrix. (3) A (transposed) Jordan block, with 1's on the diagonal. (4) A diagonal matrix with evenly spaced entries 1, ..., ULP and random signs. (ULP = (first number larger than 1)  1 ) (5) A diagonal matrix with geometrically spaced entries 1, ..., ULP and random signs. (6) A diagonal matrix with "clustered" entries 1, ULP, ..., ULP and random signs. (7) Same as (4), but multiplied by a constant near the overflow threshold (8) Same as (4), but multiplied by a constant near the underflow threshold (9) A matrix of the form U' T U, where U is orthogonal and T has evenly spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (10) A matrix of the form U' T U, where U is orthogonal and T has geometrically spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (11) A matrix of the form U' T U, where U is orthogonal and T has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (12) A matrix of the form U' T U, where U is orthogonal and T has real or complex conjugate paired eigenvalues randomly chosen from ( ULP, 1 ) and random O(1) entries in the upper triangle. (13) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has evenly spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (14) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has geometrically spaced entries 1, ..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (15) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has "clustered" entries 1, ULP,..., ULP with random signs on the diagonal and random O(1) entries in the upper triangle. (16) A matrix of the form X' T X, where X has condition SQRT( ULP ) and T has real or complex conjugate paired eigenvalues randomly chosen from ( ULP, 1 ) and random O(1) entries in the upper triangle. (17) Same as (16), but multiplied by a constant near the overflow threshold (18) Same as (16), but multiplied by a constant near the underflow threshold (19) Nonsymmetric matrix with random entries chosen from (1,1). If N is at least 4, all entries in first two rows and last row, and first column and last two columns are zero. (20) Same as (19), but multiplied by a constant near the overflow threshold (21) Same as (19), but multiplied by a constant near the underflow threshold In addition, an input file will be read from logical unit number NIUNIT. The file contains matrices along with precomputed eigenvalues and reciprocal condition numbers for the eigenvalues and right eigenvectors. For these matrices, in addition to tests (1) to (9) we will compute the following two tests: (10) RCONDV  RCDVIN / cond(RCONDV) RCONDV is the reciprocal right eigenvector condition number computed by SGEEVX and RCDVIN (the precomputed true value) is supplied as input. cond(RCONDV) is the condition number of RCONDV, and takes errors in computing RCONDV into account, so that the resulting quantity should be O(ULP). cond(RCONDV) is essentially given by norm(A)/RCONDE. (11) RCONDE  RCDEIN / cond(RCONDE) RCONDE is the reciprocal eigenvalue condition number computed by SGEEVX and RCDEIN (the precomputed true value) is supplied as input. cond(RCONDE) is the condition number of RCONDE, and takes errors in computing RCONDE into account, so that the resulting quantity should be O(ULP). cond(RCONDE) is essentially given by norm(A)/RCONDV.
[in]  NSIZES  NSIZES is INTEGER The number of sizes of matrices to use. NSIZES must be at least zero. If it is zero, no randomly generated matrices are tested, but any test matrices read from NIUNIT will be tested. 
[in]  NN  NN is 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. 
[in]  NTYPES  NTYPES is INTEGER The number of elements in DOTYPE. NTYPES must be at least zero. If it is zero, no randomly generated test matrices are tested, but and test matrices read from NIUNIT will be tested. 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. . 
[in]  DOTYPE  DOTYPE is 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. 
[in,out]  ISEED  ISEED is 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 SDRVVX to continue the same random number sequence. 
[in]  THRESH  THRESH is 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. 
[in]  NIUNIT  NIUNIT is INTEGER The FORTRAN unit number for reading in the data file of problems to solve. 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns INFO not equal to 0.) 
[out]  A  A is REAL array, dimension (LDA, max(NN,12)) Used to hold the matrix whose eigenvalues are to be computed. On exit, A contains the last matrix actually used. 
[in]  LDA  LDA is INTEGER The leading dimension of the arrays A and H. LDA >= max(NN,12), since 12 is the dimension of the largest matrix in the precomputed input file. 
[out]  H  H is REAL array, dimension (LDA, max(NN,12)) Another copy of the test matrix A, modified by SGEEVX. 
[out]  WR  WR is REAL array, dimension (max(NN)) 
[out]  WI  WI is REAL array, dimension (max(NN)) The real and imaginary parts of the eigenvalues of A. On exit, WR + WI*i are the eigenvalues of the matrix in A. 
[out]  WR1  WR1 is REAL array, dimension (max(NN,12)) 
[out]  WI1  WI1 is REAL array, dimension (max(NN,12)) Like WR, WI, these arrays contain the eigenvalues of A, but those computed when SGEEVX only computes a partial eigendecomposition, i.e. not the eigenvalues and left and right eigenvectors. 
[out]  VL  VL is REAL array, dimension (LDVL, max(NN,12)) VL holds the computed left eigenvectors. 
[in]  LDVL  LDVL is INTEGER Leading dimension of VL. Must be at least max(1,max(NN,12)). 
[out]  VR  VR is REAL array, dimension (LDVR, max(NN,12)) VR holds the computed right eigenvectors. 
[in]  LDVR  LDVR is INTEGER Leading dimension of VR. Must be at least max(1,max(NN,12)). 
[out]  LRE  LRE is REAL array, dimension (LDLRE, max(NN,12)) LRE holds the computed right or left eigenvectors. 
[in]  LDLRE  LDLRE is INTEGER Leading dimension of LRE. Must be at least max(1,max(NN,12)) 
[out]  RCONDV  RCONDV is REAL array, dimension (N) RCONDV holds the computed reciprocal condition numbers for eigenvectors. 
[out]  RCNDV1  RCNDV1 is REAL array, dimension (N) RCNDV1 holds more computed reciprocal condition numbers for eigenvectors. 
[out]  RCDVIN  RCDVIN is REAL array, dimension (N) When COMP = .TRUE. RCDVIN holds the precomputed reciprocal condition numbers for eigenvectors to be compared with RCONDV. 
[out]  RCONDE  RCONDE is REAL array, dimension (N) RCONDE holds the computed reciprocal condition numbers for eigenvalues. 
[out]  RCNDE1  RCNDE1 is REAL array, dimension (N) RCNDE1 holds more computed reciprocal condition numbers for eigenvalues. 
[out]  RCDEIN  RCDEIN is REAL array, dimension (N) When COMP = .TRUE. RCDEIN holds the precomputed reciprocal condition numbers for eigenvalues to be compared with RCONDE. 
[out]  SCALE  SCALE is REAL array, dimension (N) Holds information describing balancing of matrix. 
[out]  SCALE1  SCALE1 is REAL array, dimension (N) Holds information describing balancing of matrix. 
[out]  RESULT  RESULT is REAL array, dimension (11) The values computed by the seven tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  WORK  WORK is REAL array, dimension (NWORK) 
[in]  NWORK  NWORK is INTEGER The number of entries in WORK. This must be at least max(6*12+2*12**2,6*NN(j)+2*NN(j)**2) = max( 360 ,6*NN(j)+2*NN(j)**2) for all j. 
[out]  IWORK  IWORK is INTEGER array, dimension (2*max(NN,12)) 
[out]  INFO  INFO is INTEGER If 0, then successful exit. If <0, then input paramter INFO is incorrect. If >0, SLATMR, SLATMS, SLATME or SGET23 returned an error code, and INFO is its absolute value.  Some Local Variables and Parameters:      ZERO, ONE Real 0 and 1. MAXTYP The number of types defined. NMAX Largest value in NN or 12. NERRS The number of tests which have exceeded THRESH COND, CONDS, IMODE Values to be passed to the matrix generators. ANORM Norm of A; passed to matrix generators. OVFL, UNFL Overflow and underflow thresholds. ULP, ULPINV Finest relative precision and its inverse. RTULP, RTULPI Square roots of the previous 4 values. The following four arrays decode JTYPE: KTYPE(j) The general type (110) for type "j". KMODE(j) The MODE value to be passed to the matrix generator for type "j". KMAGN(j) The order of magnitude ( O(1), O(overflow^(1/2) ), O(underflow^(1/2) ) KCONDS(j) Selectw whether CONDS is to be 1 or 1/sqrt(ulp). (0 means irrelevant.) 
Definition at line 517 of file sdrvvx.f.
subroutine serrbd  (  character*3  PATH, 
integer  NUNIT  
) 
SERRBD
SERRBD tests the error exits for SGEBRD, SORGBR, SORMBR, SBDSQR and SBDSDC.
[in]  PATH  PATH is CHARACTER*3 The LAPACK path name for the routines to be tested. 
[in]  NUNIT  NUNIT is INTEGER The unit number for output. 
Definition at line 56 of file serrbd.f.
subroutine serrec  (  character*3  PATH, 
integer  NUNIT  
) 
SERREC
SERREC tests the error exits for the routines for eigen condition estimation for REAL matrices: STRSYL, STREXC, STRSNA and STRSEN.
[in]  PATH  PATH is CHARACTER*3 The LAPACK path name for the routines to be tested. 
[in]  NUNIT  NUNIT is INTEGER The unit number for output. 
Definition at line 57 of file serrec.f.
subroutine serred  (  character*3  PATH, 
integer  NUNIT  
) 
SERRED
SERRED tests the error exits for the eigenvalue driver routines for REAL matrices: PATH driver description    SEV SGEEV find eigenvalues/eigenvectors for nonsymmetric A SES SGEES find eigenvalues/Schur form for nonsymmetric A SVX SGEEVX SGEEV + balancing and condition estimation SSX SGEESX SGEES + balancing and condition estimation SBD SGESVD compute SVD of an MbyN matrix A SGESDD compute SVD of an MbyN matrix A (by divide and conquer) SGEJSV compute SVD of an MbyN matrix A where M >= N
[in]  PATH  PATH is CHARACTER*3 The LAPACK path name for the routines to be tested. 
[in]  NUNIT  NUNIT is INTEGER The unit number for output. 
Definition at line 67 of file serred.f.
subroutine serrgg  (  character*3  PATH, 
integer  NUNIT  
) 
SERRGG
SERRGG tests the error exits for SGGES, SGGESX, SGGEV, SGGEVX, SGGGLM, SGGHRD, SGGLSE, SGGQRF, SGGRQF, SGGSVD, SGGSVP, SHGEQZ, SORCSD, STGEVC, STGEXC, STGSEN, STGSJA, STGSNA, and STGSYL.
[in]  PATH  PATH is CHARACTER*3 The LAPACK path name for the routines to be tested. 
[in]  NUNIT  NUNIT is INTEGER The unit number for output. 
Definition at line 57 of file serrgg.f.
subroutine serrhs  (  character*3  PATH, 
integer  NUNIT  
) 
SERRHS
SERRHS tests the error exits for SGEBAK, SGEBAL, SGEHRD, SORGHR, SORMHR, SHSEQR, SHSEIN, and STREVC.
[in]  PATH  PATH is CHARACTER*3 The LAPACK path name for the routines to be tested. 
[in]  NUNIT  NUNIT is INTEGER The unit number for output. 
Definition at line 56 of file serrhs.f.
subroutine serrst  (  character*3  PATH, 
integer  NUNIT  
) 
SERRST
SERRST tests the error exits for SSYTRD, SORGTR, SORMTR, SSPTRD, SOPGTR, SOPMTR, SSTEQR, SSTERF, SSTEBZ, SSTEIN, SPTEQR, SSBTRD, SSYEV, SSYEVX, SSYEVD, SSBEV, SSBEVX, SSBEVD, SSPEV, SSPEVX, SSPEVD, SSTEV, SSTEVX, SSTEVD, and SSTEDC.
[in]  PATH  PATH is CHARACTER*3 The LAPACK path name for the routines to be tested. 
[in]  NUNIT  NUNIT is INTEGER The unit number for output. 
Definition at line 58 of file serrst.f.
subroutine sget02  (  character  TRANS, 
integer  M,  
integer  N,  
integer  NRHS,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldx, * )  X,  
integer  LDX,  
real, dimension( ldb, * )  B,  
integer  LDB,  
real, dimension( * )  RWORK,  
real  RESID  
) 
SGET02
SGET02 computes the residual for a solution of a system of linear equations A*x = b or A'*x = b: RESID = norm(B  A*X) / ( norm(A) * norm(X) * EPS ), where EPS is the machine epsilon.
[in]  TRANS  TRANS is CHARACTER*1 Specifies the form of the system of equations: = 'N': A *x = b = 'T': A'*x = b, where A' is the transpose of A = 'C': A'*x = b, where A' is the transpose of A 
[in]  M  M is INTEGER The number of rows of the matrix A. M >= 0. 
[in]  N  N is INTEGER The number of columns of the matrix A. N >= 0. 
[in]  NRHS  NRHS is INTEGER The number of columns of B, the matrix of right hand sides. NRHS >= 0. 
[in]  A  A is REAL array, dimension (LDA,N) The original M x N matrix A. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M). 
[in]  X  X is REAL array, dimension (LDX,NRHS) The computed solution vectors for the system of linear equations. 
[in]  LDX  LDX is INTEGER The leading dimension of the array X. If TRANS = 'N', LDX >= max(1,N); if TRANS = 'T' or 'C', LDX >= max(1,M). 
[in,out]  B  B is REAL array, dimension (LDB,NRHS) On entry, the right hand side vectors for the system of linear equations. On exit, B is overwritten with the difference B  A*X. 
[in]  LDB  LDB is INTEGER The leading dimension of the array B. IF TRANS = 'N', LDB >= max(1,M); if TRANS = 'T' or 'C', LDB >= max(1,N). 
[out]  RWORK  RWORK is REAL array, dimension (M) 
[out]  RESID  RESID is REAL The maximum over the number of right hand sides of norm(B  A*X) / ( norm(A) * norm(X) * EPS ). 
Definition at line 133 of file sget02.f.
subroutine sget10  (  integer  M, 
integer  N,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldb, * )  B,  
integer  LDB,  
real, dimension( * )  WORK,  
real  RESULT  
) 
SGET10
SGET10 compares two matrices A and B and computes the ratio RESULT = norm( A  B ) / ( norm(A) * M * EPS )
[in]  M  M is INTEGER The number of rows of the matrices A and B. 
[in]  N  N is INTEGER The number of columns of the matrices A and B. 
[in]  A  A is REAL array, dimension (LDA,N) The m by n matrix A. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M). 
[in]  B  B is REAL array, dimension (LDB,N) The m by n matrix B. 
[in]  LDB  LDB is INTEGER The leading dimension of the array B. LDB >= max(1,M). 
[out]  WORK  WORK is REAL array, dimension (M) 
[out]  RESULT  RESULT is REAL RESULT = norm( A  B ) / ( norm(A) * M * EPS ) 
Definition at line 94 of file sget10.f.
subroutine sget22  (  character  TRANSA, 
character  TRANSE,  
character  TRANSW,  
integer  N,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lde, * )  E,  
integer  LDE,  
real, dimension( * )  WR,  
real, dimension( * )  WI,  
real, dimension( * )  WORK,  
real, dimension( 2 )  RESULT  
) 
SGET22
SGET22 does an eigenvector check. The basic test is: RESULT(1) =  A E  E W  / ( A E ulp ) using the 1norm. It also tests the normalization of E: RESULT(2) = max  mnorm(E(j))  1  / ( n ulp ) j where E(j) is the jth eigenvector, and mnorm is the maxnorm of a vector. If an eigenvector is complex, as determined from WI(j) nonzero, then the maxnorm of the vector ( er + i*ei ) is the maximum of er(1) + ei(1), ... , er(n) + ei(n) W is a block diagonal matrix, with a 1 by 1 block for each real eigenvalue and a 2 by 2 block for each complex conjugate pair. If eigenvalues j and j+1 are a complex conjugate pair, so that WR(j) = WR(j+1) = wr and WI(j) =  WI(j+1) = wi, then the 2 by 2 block corresponding to the pair will be: ( wr wi ) ( wi wr ) Such a block multiplying an n by 2 matrix ( ur ui ) on the right will be the same as multiplying ur + i*ui by wr + i*wi. To handle various schemes for storage of left eigenvectors, there are options to use Atranspose instead of A, Etranspose instead of E, and/or Wtranspose instead of W.
[in]  TRANSA  TRANSA is CHARACTER*1 Specifies whether or not A is transposed. = 'N': No transpose = 'T': Transpose = 'C': Conjugate transpose (= Transpose) 
[in]  TRANSE  TRANSE is CHARACTER*1 Specifies whether or not E is transposed. = 'N': No transpose, eigenvectors are in columns of E = 'T': Transpose, eigenvectors are in rows of E = 'C': Conjugate transpose (= Transpose) 
[in]  TRANSW  TRANSW is CHARACTER*1 Specifies whether or not W is transposed. = 'N': No transpose = 'T': Transpose, use WI(j) instead of WI(j) = 'C': Conjugate transpose, use WI(j) instead of WI(j) 
[in]  N  N is INTEGER The order of the matrix A. N >= 0. 
[in]  A  A is REAL array, dimension (LDA,N) The matrix whose eigenvectors are in E. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= max(1,N). 
[in]  E  E is REAL array, dimension (LDE,N) The matrix of eigenvectors. If TRANSE = 'N', the eigenvectors are stored in the columns of E, if TRANSE = 'T' or 'C', the eigenvectors are stored in the rows of E. 
[in]  LDE  LDE is INTEGER The leading dimension of the array E. LDE >= max(1,N). 
[in]  WR  WR is REAL array, dimension (N) 
[in]  WI  WI is REAL array, dimension (N) The real and imaginary parts of the eigenvalues of A. Purely real eigenvalues are indicated by WI(j) = 0. Complex conjugate pairs are indicated by WR(j)=WR(j+1) and WI(j) =  WI(j+1) nonzero; the real part is assumed to be stored in the jth row/column and the imaginary part in the (j+1)th row/column. 
[out]  WORK  WORK is REAL array, dimension (N*(N+1)) 
[out]  RESULT  RESULT is REAL array, dimension (2) RESULT(1) =  A E  E W  / ( A E ulp ) RESULT(2) = max  mnorm(E(j))  1  / ( n ulp ) 
Definition at line 167 of file sget22.f.
subroutine sget23  (  logical  COMP, 
character  BALANC,  
integer  JTYPE,  
real  THRESH,  
integer, dimension( 4 )  ISEED,  
integer  NOUNIT,  
integer  N,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  H,  
real, dimension( * )  WR,  
real, dimension( * )  WI,  
real, dimension( * )  WR1,  
real, dimension( * )  WI1,  
real, dimension( ldvl, * )  VL,  
integer  LDVL,  
real, dimension( ldvr, * )  VR,  
integer  LDVR,  
real, dimension( ldlre, * )  LRE,  
integer  LDLRE,  
real, dimension( * )  RCONDV,  
real, dimension( * )  RCNDV1,  
real, dimension( * )  RCDVIN,  
real, dimension( * )  RCONDE,  
real, dimension( * )  RCNDE1,  
real, dimension( * )  RCDEIN,  
real, dimension( * )  SCALE,  
real, dimension( * )  SCALE1,  
real, dimension( 11 )  RESULT,  
real, dimension( * )  WORK,  
integer  LWORK,  
integer, dimension( * )  IWORK,  
integer  INFO  
) 
SGET23
SGET23 checks the nonsymmetric eigenvalue problem driver SGEEVX. If COMP = .FALSE., the first 8 of the following tests will be performed on the input matrix A, and also test 9 if LWORK is sufficiently large. if COMP is .TRUE. all 11 tests will be performed. (1)  A * VR  VR * W  / ( n A ulp ) Here VR is the matrix of unit right eigenvectors. W is a block diagonal matrix, with a 1x1 block for each real eigenvalue and a 2x2 block for each complex conjugate pair. If eigenvalues j and j+1 are a complex conjugate pair, so WR(j) = WR(j+1) = wr and WI(j) =  WI(j+1) = wi, then the 2 x 2 block corresponding to the pair will be: ( wr wi ) ( wi wr ) Such a block multiplying an n x 2 matrix ( ur ui ) on the right will be the same as multiplying ur + i*ui by wr + i*wi. (2)  A**H * VL  VL * W**H  / ( n A ulp ) Here VL is the matrix of unit left eigenvectors, A**H is the conjugate transpose of A, and W is as above. (3)  VR(i)  1  / ulp and largest component real VR(i) denotes the ith column of VR. (4)  VL(i)  1  / ulp and largest component real VL(i) denotes the ith column of VL. (5) 0 if W(full) = W(partial), 1/ulp otherwise W(full) denotes the eigenvalues computed when VR, VL, RCONDV and RCONDE are also computed, and W(partial) denotes the eigenvalues computed when only some of VR, VL, RCONDV, and RCONDE are computed. (6) 0 if VR(full) = VR(partial), 1/ulp otherwise VR(full) denotes the right eigenvectors computed when VL, RCONDV and RCONDE are computed, and VR(partial) denotes the result when only some of VL and RCONDV are computed. (7) 0 if VL(full) = VL(partial), 1/ulp otherwise VL(full) denotes the left eigenvectors computed when VR, RCONDV and RCONDE are computed, and VL(partial) denotes the result when only some of VR and RCONDV are computed. (8) 0 if SCALE, ILO, IHI, ABNRM (full) = SCALE, ILO, IHI, ABNRM (partial) 1/ulp otherwise SCALE, ILO, IHI and ABNRM describe how the matrix is balanced. (full) is when VR, VL, RCONDE and RCONDV are also computed, and (partial) is when some are not computed. (9) 0 if RCONDV(full) = RCONDV(partial), 1/ulp otherwise RCONDV(full) denotes the reciprocal condition numbers of the right eigenvectors computed when VR, VL and RCONDE are also computed. RCONDV(partial) denotes the reciprocal condition numbers when only some of VR, VL and RCONDE are computed. (10) RCONDV  RCDVIN / cond(RCONDV) RCONDV is the reciprocal right eigenvector condition number computed by SGEEVX and RCDVIN (the precomputed true value) is supplied as input. cond(RCONDV) is the condition number of RCONDV, and takes errors in computing RCONDV into account, so that the resulting quantity should be O(ULP). cond(RCONDV) is essentially given by norm(A)/RCONDE. (11) RCONDE  RCDEIN / cond(RCONDE) RCONDE is the reciprocal eigenvalue condition number computed by SGEEVX and RCDEIN (the precomputed true value) is supplied as input. cond(RCONDE) is the condition number of RCONDE, and takes errors in computing RCONDE into account, so that the resulting quantity should be O(ULP). cond(RCONDE) is essentially given by norm(A)/RCONDV.
[in]  COMP  COMP is LOGICAL COMP describes which input tests to perform: = .FALSE. if the computed condition numbers are not to be tested against RCDVIN and RCDEIN = .TRUE. if they are to be compared 
[in]  BALANC  BALANC is CHARACTER Describes the balancing option to be tested. = 'N' for no permuting or diagonal scaling = 'P' for permuting but no diagonal scaling = 'S' for no permuting but diagonal scaling = 'B' for permuting and diagonal scaling 
[in]  JTYPE  JTYPE is INTEGER Type of input matrix. Used to label output if error occurs. 
[in]  THRESH  THRESH is 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. 
[in]  ISEED  ISEED is INTEGER array, dimension (4) If COMP = .FALSE., the random number generator seed used to produce matrix. If COMP = .TRUE., ISEED(1) = the number of the example. Used to label output if error occurs. 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns INFO not equal to 0.) 
[in]  N  N is INTEGER The dimension of A. N must be at least 0. 
[in,out]  A  A is REAL array, dimension (LDA,N) Used to hold the matrix whose eigenvalues are to be computed. 
[in]  LDA  LDA is INTEGER The leading dimension of A, and H. LDA must be at least 1 and at least N. 
[out]  H  H is REAL array, dimension (LDA,N) Another copy of the test matrix A, modified by SGEEVX. 
[out]  WR  WR is REAL array, dimension (N) 
[out]  WI  WI is REAL array, dimension (N) The real and imaginary parts of the eigenvalues of A. On exit, WR + WI*i are the eigenvalues of the matrix in A. 
[out]  WR1  WR1 is REAL array, dimension (N) 
[out]  WI1  WI1 is REAL array, dimension (N) Like WR, WI, these arrays contain the eigenvalues of A, but those computed when SGEEVX only computes a partial eigendecomposition, i.e. not the eigenvalues and left and right eigenvectors. 
[out]  VL  VL is REAL array, dimension (LDVL,N) VL holds the computed left eigenvectors. 
[in]  LDVL  LDVL is INTEGER Leading dimension of VL. Must be at least max(1,N). 
[out]  VR  VR is REAL array, dimension (LDVR,N) VR holds the computed right eigenvectors. 
[in]  LDVR  LDVR is INTEGER Leading dimension of VR. Must be at least max(1,N). 
[out]  LRE  LRE is REAL array, dimension (LDLRE,N) LRE holds the computed right or left eigenvectors. 
[in]  LDLRE  LDLRE is INTEGER Leading dimension of LRE. Must be at least max(1,N). 
[out]  RCONDV  RCONDV is REAL array, dimension (N) RCONDV holds the computed reciprocal condition numbers for eigenvectors. 
[out]  RCNDV1  RCNDV1 is REAL array, dimension (N) RCNDV1 holds more computed reciprocal condition numbers for eigenvectors. 
[in]  RCDVIN  RCDVIN is REAL array, dimension (N) When COMP = .TRUE. RCDVIN holds the precomputed reciprocal condition numbers for eigenvectors to be compared with RCONDV. 
[out]  RCONDE  RCONDE is REAL array, dimension (N) RCONDE holds the computed reciprocal condition numbers for eigenvalues. 
[out]  RCNDE1  RCNDE1 is REAL array, dimension (N) RCNDE1 holds more computed reciprocal condition numbers for eigenvalues. 
[in]  RCDEIN  RCDEIN is REAL array, dimension (N) When COMP = .TRUE. RCDEIN holds the precomputed reciprocal condition numbers for eigenvalues to be compared with RCONDE. 
[out]  SCALE  SCALE is REAL array, dimension (N) Holds information describing balancing of matrix. 
[out]  SCALE1  SCALE1 is REAL array, dimension (N) Holds information describing balancing of matrix. 
[out]  RESULT  RESULT is REAL array, dimension (11) The values computed by the 11 tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The number of entries in WORK. This must be at least 3*N, and 6*N+N**2 if tests 9, 10 or 11 are to be performed. 
[out]  IWORK  IWORK is INTEGER array, dimension (2*N) 
[out]  INFO  INFO is INTEGER If 0, successful exit. If <0, input parameter INFO had an incorrect value. If >0, SGEEVX returned an error code, the absolute value of which is returned. 
Definition at line 375 of file sget23.f.
subroutine sget24  (  logical  COMP, 
integer  JTYPE,  
real  THRESH,  
integer, dimension( 4 )  ISEED,  
integer  NOUNIT,  
integer  N,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( lda, * )  H,  
real, dimension( lda, * )  HT,  
real, dimension( * )  WR,  
real, dimension( * )  WI,  
real, dimension( * )  WRT,  
real, dimension( * )  WIT,  
real, dimension( * )  WRTMP,  
real, dimension( * )  WITMP,  
real, dimension( ldvs, * )  VS,  
integer  LDVS,  
real, dimension( ldvs, * )  VS1,  
real  RCDEIN,  
real  RCDVIN,  
integer  NSLCT,  
integer, dimension( * )  ISLCT,  
real, dimension( 17 )  RESULT,  
real, dimension( * )  WORK,  
integer  LWORK,  
integer, dimension( * )  IWORK,  
logical, dimension( * )  BWORK,  
integer  INFO  
) 
SGET24
SGET24 checks the nonsymmetric eigenvalue (Schur form) problem expert driver SGEESX. If COMP = .FALSE., the first 13 of the following tests will be be performed on the input matrix A, and also tests 14 and 15 if LWORK is sufficiently large. If COMP = .TRUE., all 17 test will be performed. (1) 0 if T is in Schur form, 1/ulp otherwise (no sorting of eigenvalues) (2)  A  VS T VS'  / ( n A ulp ) Here VS is the matrix of Schur eigenvectors, and T is in Schur form (no sorting of eigenvalues). (3)  I  VS VS'  / ( n ulp ) (no sorting of eigenvalues). (4) 0 if WR+sqrt(1)*WI are eigenvalues of T 1/ulp otherwise (no sorting of eigenvalues) (5) 0 if T(with VS) = T(without VS), 1/ulp otherwise (no sorting of eigenvalues) (6) 0 if eigenvalues(with VS) = eigenvalues(without VS), 1/ulp otherwise (no sorting of eigenvalues) (7) 0 if T is in Schur form, 1/ulp otherwise (with sorting of eigenvalues) (8)  A  VS T VS'  / ( n A ulp ) Here VS is the matrix of Schur eigenvectors, and T is in Schur form (with sorting of eigenvalues). (9)  I  VS VS'  / ( n ulp ) (with sorting of eigenvalues). (10) 0 if WR+sqrt(1)*WI are eigenvalues of T 1/ulp otherwise If workspace sufficient, also compare WR, WI with and without reciprocal condition numbers (with sorting of eigenvalues) (11) 0 if T(with VS) = T(without VS), 1/ulp otherwise If workspace sufficient, also compare T with and without reciprocal condition numbers (with sorting of eigenvalues) (12) 0 if eigenvalues(with VS) = eigenvalues(without VS), 1/ulp otherwise If workspace sufficient, also compare VS with and without reciprocal condition numbers (with sorting of eigenvalues) (13) if sorting worked and SDIM is the number of eigenvalues which were SELECTed If workspace sufficient, also compare SDIM with and without reciprocal condition numbers (14) if RCONDE the same no matter if VS and/or RCONDV computed (15) if RCONDV the same no matter if VS and/or RCONDE computed (16) RCONDE  RCDEIN / cond(RCONDE) RCONDE is the reciprocal average eigenvalue condition number computed by SGEESX and RCDEIN (the precomputed true value) is supplied as input. cond(RCONDE) is the condition number of RCONDE, and takes errors in computing RCONDE into account, so that the resulting quantity should be O(ULP). cond(RCONDE) is essentially given by norm(A)/RCONDV. (17) RCONDV  RCDVIN / cond(RCONDV) RCONDV is the reciprocal right invariant subspace condition number computed by SGEESX and RCDVIN (the precomputed true value) is supplied as input. cond(RCONDV) is the condition number of RCONDV, and takes errors in computing RCONDV into account, so that the resulting quantity should be O(ULP). cond(RCONDV) is essentially given by norm(A)/RCONDE.
[in]  COMP  COMP is LOGICAL COMP describes which input tests to perform: = .FALSE. if the computed condition numbers are not to be tested against RCDVIN and RCDEIN = .TRUE. if they are to be compared 
[in]  JTYPE  JTYPE is INTEGER Type of input matrix. Used to label output if error occurs. 
[in]  ISEED  ISEED is INTEGER array, dimension (4) If COMP = .FALSE., the random number generator seed used to produce matrix. If COMP = .TRUE., ISEED(1) = the number of the example. Used to label output if error occurs. 
[in]  THRESH  THRESH is 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. 
[in]  NOUNIT  NOUNIT is INTEGER The FORTRAN unit number for printing out error messages (e.g., if a routine returns INFO not equal to 0.) 
[in]  N  N is INTEGER The dimension of A. N must be at least 0. 
[in,out]  A  A is REAL array, dimension (LDA, N) Used to hold the matrix whose eigenvalues are to be computed. 
[in]  LDA  LDA is INTEGER The leading dimension of A, and H. LDA must be at least 1 and at least N. 
[out]  H  H is REAL array, dimension (LDA, N) Another copy of the test matrix A, modified by SGEESX. 
[out]  HT  HT is REAL array, dimension (LDA, N) Yet another copy of the test matrix A, modified by SGEESX. 
[out]  WR  WR is REAL array, dimension (N) 
[out]  WI  WI is REAL array, dimension (N) The real and imaginary parts of the eigenvalues of A. On exit, WR + WI*i are the eigenvalues of the matrix in A. 
[out]  WRT  WRT is REAL array, dimension (N) 
[out]  WIT  WIT is REAL array, dimension (N) Like WR, WI, these arrays contain the eigenvalues of A, but those computed when SGEESX only computes a partial eigendecomposition, i.e. not Schur vectors 
[out]  WRTMP  WRTMP is REAL array, dimension (N) 
[out]  WITMP  WITMP is REAL array, dimension (N) Like WR, WI, these arrays contain the eigenvalues of A, but sorted by increasing real part. 
[out]  VS  VS is REAL array, dimension (LDVS, N) VS holds the computed Schur vectors. 
[in]  LDVS  LDVS is INTEGER Leading dimension of VS. Must be at least max(1, N). 
[out]  VS1  VS1 is REAL array, dimension (LDVS, N) VS1 holds another copy of the computed Schur vectors. 
[in]  RCDEIN  RCDEIN is REAL When COMP = .TRUE. RCDEIN holds the precomputed reciprocal condition number for the average of selected eigenvalues. 
[in]  RCDVIN  RCDVIN is REAL When COMP = .TRUE. RCDVIN holds the precomputed reciprocal condition number for the selected right invariant subspace. 
[in]  NSLCT  NSLCT is INTEGER When COMP = .TRUE. the number of selected eigenvalues corresponding to the precomputed values RCDEIN and RCDVIN. 
[in]  ISLCT  ISLCT is INTEGER array, dimension (NSLCT) When COMP = .TRUE. ISLCT selects the eigenvalues of the input matrix corresponding to the precomputed values RCDEIN and RCDVIN. For I=1, ... ,NSLCT, if ISLCT(I) = J, then the eigenvalue with the Jth largest real part is selected. Not referenced if COMP = .FALSE. 
[out]  RESULT  RESULT is REAL array, dimension (17) The values computed by the 17 tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The number of entries in WORK to be passed to SGEESX. This must be at least 3*N, and N+N**2 if tests 1416 are to be performed. 
[out]  IWORK  IWORK is INTEGER array, dimension (N*N) 
[out]  BWORK  BWORK is LOGICAL array, dimension (N) 
[out]  INFO  INFO is INTEGER If 0, successful exit. If <0, input parameter INFO had an incorrect value. If >0, SGEESX returned an error code, the absolute value of which is returned. 
Definition at line 341 of file sget24.f.
subroutine sget31  (  real  RMAX, 
integer  LMAX,  
integer, dimension( 2 )  NINFO,  
integer  KNT  
) 
SGET31
SGET31 tests SLALN2, a routine for solving (ca A  w D)X = sB where A is an NA by NA matrix (NA=1 or 2 only), w is a real (NW=1) or complex (NW=2) constant, ca is a real constant, D is an NA by NA real diagonal matrix, and B is an NA by NW matrix (when NW=2 the second column of B contains the imaginary part of the solution). The code returns X and s, where s is a scale factor, less than or equal to 1, which is chosen to avoid overflow in X. If any singular values of ca Aw D are less than another input parameter SMIN, they are perturbed up to SMIN. The test condition is that the scaled residual norm( (ca Aw D)*X  s*B ) / ( max( ulp*norm(ca Aw D), SMIN )*norm(X) ) should be on the order of 1. Here, ulp is the machine precision. Also, it is verified that SCALE is less than or equal to 1, and that XNORM = infinitynorm(X).
[out]  RMAX  RMAX is REAL Value of the largest test ratio. 
[out]  LMAX  LMAX is INTEGER Example number where largest test ratio achieved. 
[out]  NINFO  NINFO is INTEGER array, dimension (3) NINFO(1) = number of examples with INFO less than 0 NINFO(2) = number of examples with INFO greater than 0 
[out]  KNT  KNT is INTEGER Total number of examples tested. 
Definition at line 92 of file sget31.f.
subroutine sget32  (  real  RMAX, 
integer  LMAX,  
integer  NINFO,  
integer  KNT  
) 
SGET32
SGET32 tests SLASY2, a routine for solving op(TL)*X + ISGN*X*op(TR) = SCALE*B where TL is N1 by N1, TR is N2 by N2, and N1,N2 =1 or 2 only. X and B are N1 by N2, op() is an optional transpose, an ISGN = 1 or 1. SCALE is chosen less than or equal to 1 to avoid overflow in X. The test condition is that the scaled residual norm( op(TL)*X + ISGN*X*op(TR) = SCALE*B ) / ( max( ulp*norm(TL), ulp*norm(TR)) * norm(X), SMLNUM ) should be on the order of 1. Here, ulp is the machine precision. Also, it is verified that SCALE is less than or equal to 1, and that XNORM = infinitynorm(X).
[out]  RMAX  RMAX is REAL Value of the largest test ratio. 
[out]  LMAX  LMAX is INTEGER Example number where largest test ratio achieved. 
[out]  NINFO  NINFO is INTEGER Number of examples returned with INFO.NE.0. 
[out]  KNT  KNT is INTEGER Total number of examples tested. 
Definition at line 83 of file sget32.f.
subroutine sget33  (  real  RMAX, 
integer  LMAX,  
integer  NINFO,  
integer  KNT  
) 
SGET33
SGET33 tests SLANV2, a routine for putting 2 by 2 blocks into standard form. In other words, it computes a two by two rotation [[C,S];[S,C]] where in [ C S ][T(1,1) T(1,2)][ C S ] = [ T11 T12 ] [S C ][T(2,1) T(2,2)][ S C ] [ T21 T22 ] either 1) T21=0 (real eigenvalues), or 2) T11=T22 and T21*T12<0 (complex conjugate eigenvalues). We also verify that the residual is small.
[out]  RMAX  RMAX is REAL Value of the largest test ratio. 
[out]  LMAX  LMAX is INTEGER Example number where largest test ratio achieved. 
[out]  NINFO  NINFO is INTEGER Number of examples returned with INFO .NE. 0. 
[out]  KNT  KNT is INTEGER Total number of examples tested. 
Definition at line 77 of file sget33.f.
subroutine sget34  (  real  RMAX, 
integer  LMAX,  
integer, dimension( 2 )  NINFO,  
integer  KNT  
) 
SGET34
SGET34 tests SLAEXC, a routine for swapping adjacent blocks (either 1 by 1 or 2 by 2) on the diagonal of a matrix in real Schur form. Thus, SLAEXC computes an orthogonal matrix Q such that Q' * [ A B ] * Q = [ C1 B1 ] [ 0 C ] [ 0 A1 ] where C1 is similar to C and A1 is similar to A. Both A and C are assumed to be in standard form (equal diagonal entries and offdiagonal with differing signs) and A1 and C1 are returned with the same properties. The test code verifies these last last assertions, as well as that the residual in the above equation is small.
[out]  RMAX  RMAX is REAL Value of the largest test ratio. 
[out]  LMAX  LMAX is INTEGER Example number where largest test ratio achieved. 
[out]  NINFO  NINFO is INTEGER array, dimension (2) NINFO(J) is the number of examples where INFO=J occurred. 
[out]  KNT  KNT is INTEGER Total number of examples tested. 
Definition at line 83 of file sget34.f.
subroutine sget35  (  real  RMAX, 
integer  LMAX,  
integer  NINFO,  
integer  KNT  
) 
SGET35
SGET35 tests STRSYL, a routine for solving the Sylvester matrix equation op(A)*X + ISGN*X*op(B) = scale*C, A and B are assumed to be in Schur canonical form, op() represents an optional transpose, and ISGN can be 1 or +1. Scale is an output less than or equal to 1, chosen to avoid overflow in X. The test code verifies that the following residual is order 1: norm(op(A)*X + ISGN*X*op(B)  scale*C) / (EPS*max(norm(A),norm(B))*norm(X))
[out]  RMAX  RMAX is REAL Value of the largest test ratio. 
[out]  LMAX  LMAX is INTEGER Example number where largest test ratio achieved. 
[out]  NINFO  NINFO is INTEGER Number of examples where INFO is nonzero. 
[out]  KNT  KNT is INTEGER Total number of examples tested. 
Definition at line 79 of file sget35.f.
subroutine sget36  (  real  RMAX, 
integer  LMAX,  
integer, dimension( 3 )  NINFO,  
integer  KNT,  
integer  NIN  
) 
SGET36
SGET36 tests STREXC, a routine for moving blocks (either 1 by 1 or 2 by 2) on the diagonal of a matrix in real Schur form. Thus, SLAEXC computes an orthogonal matrix Q such that Q' * T1 * Q = T2 and where one of the diagonal blocks of T1 (the one at row IFST) has been moved to position ILST. The test code verifies that the residual Q'*T1*QT2 is small, that T2 is in Schur form, and that the final position of the IFST block is ILST (within +1). The test matrices are read from a file with logical unit number NIN.
[out]  RMAX  RMAX is REAL Value of the largest test ratio. 
[out]  LMAX  LMAX is INTEGER Example number where largest test ratio achieved. 
[out]  NINFO  NINFO is INTEGER array, dimension (3) NINFO(J) is the number of examples where INFO=J. 
[out]  KNT  KNT is INTEGER Total number of examples tested. 
[in]  NIN  NIN is INTEGER Input logical unit number. 
Definition at line 89 of file sget36.f.
subroutine sget37  (  real, dimension( 3 )  RMAX, 
integer, dimension( 3 )  LMAX,  
integer, dimension( 3 )  NINFO,  
integer  KNT,  
integer  NIN  
) 
SGET37
SGET37 tests STRSNA, a routine for estimating condition numbers of eigenvalues and/or right eigenvectors of a matrix. The test matrices are read from a file with logical unit number NIN.
[out]  RMAX  RMAX is REAL array, dimension (3) Value of the largest test ratio. RMAX(1) = largest ratio comparing different calls to STRSNA RMAX(2) = largest error in reciprocal condition numbers taking their conditioning into account RMAX(3) = largest error in reciprocal condition numbers not taking their conditioning into account (may be larger than RMAX(2)) 
[out]  LMAX  LMAX is INTEGER array, dimension (3) LMAX(i) is example number where largest test ratio RMAX(i) is achieved. Also: If SGEHRD returns INFO nonzero on example i, LMAX(1)=i If SHSEQR returns INFO nonzero on example i, LMAX(2)=i If STRSNA returns INFO nonzero on example i, LMAX(3)=i 
[out]  NINFO  NINFO is INTEGER array, dimension (3) NINFO(1) = No. of times SGEHRD returned INFO nonzero NINFO(2) = No. of times SHSEQR returned INFO nonzero NINFO(3) = No. of times STRSNA returned INFO nonzero 
[out]  KNT  KNT is INTEGER Total number of examples tested. 
[in]  NIN  NIN is INTEGER Input logical unit number 
Definition at line 91 of file sget37.f.
subroutine sget38  (  real, dimension( 3 )  RMAX, 
integer, dimension( 3 )  LMAX,  
integer, dimension( 3 )  NINFO,  
integer  KNT,  
integer  NIN  
) 
SGET38
SGET38 tests STRSEN, a routine for estimating condition numbers of a cluster of eigenvalues and/or its associated right invariant subspace The test matrices are read from a file with logical unit number NIN.
[out]  RMAX  RMAX is REAL array, dimension (3) Values of the largest test ratios. RMAX(1) = largest residuals from SHST01 or comparing different calls to STRSEN RMAX(2) = largest error in reciprocal condition numbers taking their conditioning into account RMAX(3) = largest error in reciprocal condition numbers not taking their conditioning into account (may be larger than RMAX(2)) 
[out]  LMAX  LMAX is INTEGER array, dimension (3) LMAX(i) is example number where largest test ratio RMAX(i) is achieved. Also: If SGEHRD returns INFO nonzero on example i, LMAX(1)=i If SHSEQR returns INFO nonzero on example i, LMAX(2)=i If STRSEN returns INFO nonzero on example i, LMAX(3)=i 
[out]  NINFO  NINFO is INTEGER array, dimension (3) NINFO(1) = No. of times SGEHRD returned INFO nonzero NINFO(2) = No. of times SHSEQR returned INFO nonzero NINFO(3) = No. of times STRSEN returned INFO nonzero 
[out]  KNT  KNT is INTEGER Total number of examples tested. 
[in]  NIN  NIN is INTEGER Input logical unit number. 
Definition at line 92 of file sget38.f.
subroutine sget39  (  real  RMAX, 
integer  LMAX,  
integer  NINFO,  
integer  KNT  
) 
SGET39
SGET39 tests SLAQTR, a routine for solving the real or special complex quasi upper triangular system op(T)*p = scale*c, or op(T + iB)*(p+iq) = scale*(c+id), in real arithmetic. T is upper quasitriangular. If it is complex, then the first diagonal block of T must be 1 by 1, B has the special structure B = [ b(1) b(2) ... b(n) ] [ w ] [ w ] [ . ] [ w ] op(A) = A or A', where A' denotes the conjugate transpose of the matrix A. On input, X = [ c ]. On output, X = [ p ]. [ d ] [ q ] Scale is an output less than or equal to 1, chosen to avoid overflow in X. This subroutine is specially designed for the condition number estimation in the eigenproblem routine STRSNA. The test code verifies that the following residual is order 1: (T+i*B)*(x1+i*x2)  scale*(d1+i*d2)  max(ulp*(T+B)*(x1+x2), (T+B)*smlnum/ulp, smlnum) (The (T+B)*smlnum/ulp term accounts for possible (gradual or nongradual) underflow in x1 and x2.)
[out]  RMAX  RMAX is REAL Value of the largest test ratio. 
[out]  LMAX  LMAX is INTEGER Example number where largest test ratio achieved. 
[out]  NINFO  NINFO is INTEGER Number of examples where INFO is nonzero. 
[out]  KNT  KNT is INTEGER Total number of examples tested. 
Definition at line 104 of file sget39.f.
subroutine sget51  (  integer  ITYPE, 
integer  N,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldb, * )  B,  
integer  LDB,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldv, * )  V,  
integer  LDV,  
real, dimension( * )  WORK,  
real  RESULT  
) 
SGET51
SGET51 generally checks a decomposition of the form A = U B V' where ' means transpose and U and V are orthogonal. Specifically, if ITYPE=1 RESULT =  A  U B V'  / ( A n ulp ) If ITYPE=2, then: RESULT =  A  B  / ( A n ulp ) If ITYPE=3, then: RESULT =  I  UU'  / ( n ulp )
[in]  ITYPE  ITYPE is INTEGER Specifies the type of tests to be performed. =1: RESULT =  A  U B V'  / ( A n ulp ) =2: RESULT =  A  B  / ( A n ulp ) =3: RESULT =  I  UU'  / ( n ulp ) 
[in]  N  N is INTEGER The size of the matrix. If it is zero, SGET51 does nothing. It must be at least zero. 
[in]  A  A is REAL array, dimension (LDA, N) The original (unfactored) matrix. 
[in]  LDA  LDA is INTEGER The leading dimension of A. It must be at least 1 and at least N. 
[in]  B  B is REAL array, dimension (LDB, N) The factored matrix. 
[in]  LDB  LDB is INTEGER The leading dimension of B. It must be at least 1 and at least N. 
[in]  U  U is REAL array, dimension (LDU, N) The orthogonal matrix on the lefthand side in the decomposition. Not referenced if ITYPE=2 
[in]  LDU  LDU is INTEGER The leading dimension of U. LDU must be at least N and at least 1. 
[in]  V  V is REAL array, dimension (LDV, N) The orthogonal matrix on the lefthand side in the decomposition. Not referenced if ITYPE=2 
[in]  LDV  LDV is INTEGER The leading dimension of V. LDV must be at least N and at least 1. 
[out]  WORK  WORK is REAL array, dimension (2*N**2) 
[out]  RESULT  RESULT is REAL The values computed by the test specified by ITYPE. The value is currently limited to 1/ulp, to avoid overflow. Errors are flagged by RESULT=10/ulp. 
Definition at line 149 of file sget51.f.
subroutine sget52  (  logical  LEFT, 
integer  N,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldb, * )  B,  
integer  LDB,  
real, dimension( lde, * )  E,  
integer  LDE,  
real, dimension( * )  ALPHAR,  
real, dimension( * )  ALPHAI,  
real, dimension( * )  BETA,  
real, dimension( * )  WORK,  
real, dimension( 2 )  RESULT  
) 
SGET52
SGET52 does an eigenvector check for the generalized eigenvalue problem. The basic test for right eigenvectors is:  b(j) A E(j)  a(j) B E(j)  RESULT(1) = max  j n ulp max( b(j) A, a(j) B ) using the 1norm. Here, a(j)/b(j) = w is the jth generalized eigenvalue of A  w B, or, equivalently, b(j)/a(j) = m is the jth generalized eigenvalue of m A  B. For real eigenvalues, the test is straightforward. For complex eigenvalues, E(j) and a(j) are complex, represented by Er(j) + i*Ei(j) and ar(j) + i*ai(j), resp., so the test for that eigenvector becomes max( Wr, Wi )  n ulp max( b(j) A, (ar(j)+ai(j)) B ) where Wr = b(j) A Er(j)  ar(j) B Er(j) + ai(j) B Ei(j) Wi = b(j) A Ei(j)  ai(j) B Er(j)  ar(j) B Ei(j) T T _ For left eigenvectors, A , B , a, and b are used. SGET52 also tests the normalization of E. Each eigenvector is supposed to be normalized so that the maximum "absolute value" of its elements is 1, where in this case, "absolute value" of a complex value x is Re(x) + Im(x) ; let us call this maximum "absolute value" norm of a vector v M(v). if a(j)=b(j)=0, then the eigenvector is set to be the jth coordinate vector. The normalization test is: RESULT(2) = max  M(v(j))  1  / ( n ulp ) eigenvectors v(j)
[in]  LEFT  LEFT is LOGICAL =.TRUE.: The eigenvectors in the columns of E are assumed to be *left* eigenvectors. =.FALSE.: The eigenvectors in the columns of E are assumed to be *right* eigenvectors. 
[in]  N  N is INTEGER The size of the matrices. If it is zero, SGET52 does nothing. It must be at least zero. 
[in]  A  A is REAL array, dimension (LDA, N) The matrix A. 
[in]  LDA  LDA is INTEGER The leading dimension of A. It must be at least 1 and at least N. 
[in]  B  B is REAL array, dimension (LDB, N) The matrix B. 
[in]  LDB  LDB is INTEGER The leading dimension of B. It must be at least 1 and at least N. 
[in]  E  E is REAL array, dimension (LDE, N) The matrix of eigenvectors. It must be O( 1 ). Complex eigenvalues and eigenvectors always come in pairs, the eigenvalue and its conjugate being stored in adjacent elements of ALPHAR, ALPHAI, and BETA. Thus, if a(j)/b(j) and a(j+1)/b(j+1) are a complex conjugate pair of generalized eigenvalues, then E(,j) contains the real part of the eigenvector and E(,j+1) contains the imaginary part. Note that whether E(,j) is a real eigenvector or part of a complex one is specified by whether ALPHAI(j) is zero or not. 
[in]  LDE  LDE is INTEGER The leading dimension of E. It must be at least 1 and at least N. 
[in]  ALPHAR  ALPHAR is REAL array, dimension (N) The real parts of the values a(j) as described above, which, along with b(j), define the generalized eigenvalues. Complex eigenvalues always come in complex conjugate pairs a(j)/b(j) and a(j+1)/b(j+1), which are stored in adjacent elements in ALPHAR, ALPHAI, and BETA. Thus, if the jth and (j+1)st eigenvalues form a pair, ALPHAR(j+1)/BETA(j+1) is assumed to be equal to ALPHAR(j)/BETA(j). 
[in]  ALPHAI  ALPHAI is REAL array, dimension (N) The imaginary parts of the values a(j) as described above, which, along with b(j), define the generalized eigenvalues. If ALPHAI(j)=0, then the eigenvalue is real, otherwise it is part of a complex conjugate pair. Complex eigenvalues always come in complex conjugate pairs a(j)/b(j) and a(j+1)/b(j+1), which are stored in adjacent elements in ALPHAR, ALPHAI, and BETA. Thus, if the jth and (j+1)st eigenvalues form a pair, ALPHAI(j+1)/BETA(j+1) is assumed to be equal to ALPHAI(j)/BETA(j). Also, nonzero values in ALPHAI are assumed to always come in adjacent pairs. 
[in]  BETA  BETA is REAL array, dimension (N) The values b(j) as described above, which, along with a(j), define the generalized eigenvalues. 
[out]  WORK  WORK is REAL array, dimension (N**2+N) 
[out]  RESULT  RESULT is REAL array, dimension (2) The values computed by the test described above. If A E or B E is likely to overflow, then RESULT(1:2) is set to 10 / ulp. 
Definition at line 199 of file sget52.f.
subroutine sget53  (  real, dimension( lda, * )  A, 
integer  LDA,  
real, dimension( ldb, * )  B,  
integer  LDB,  
real  SCALE,  
real  WR,  
real  WI,  
real  RESULT,  
integer  INFO  
) 
SGET53
SGET53 checks the generalized eigenvalues computed by SLAG2. The basic test for an eigenvalue is:  det( s A  w B )  RESULT =  ulp max( s norm(A), w norm(B) )*norm( s A  w B ) Two "safety checks" are performed: (1) ulp*max( s*norm(A), w*norm(B) ) must be at least safe_minimum. This insures that the test performed is not essentially det(0*A + 0*B)=0. (2) s*norm(A) + w*norm(B) must be less than 1/safe_minimum. This insures that s*A  w*B will not overflow. If these tests are not passed, then s and w are scaled and tested anyway, if this is possible.
[in]  A  A is REAL array, dimension (LDA, 2) The 2x2 matrix A. 
[in]  LDA  LDA is INTEGER The leading dimension of A. It must be at least 2. 
[in]  B  B is REAL array, dimension (LDB, N) The 2x2 uppertriangular matrix B. 
[in]  LDB  LDB is INTEGER The leading dimension of B. It must be at least 2. 
[in]  SCALE  SCALE is REAL The "scale factor" s in the formula s A  w B . It is assumed to be nonnegative. 
[in]  WR  WR is REAL The real part of the eigenvalue w in the formula s A  w B . 
[in]  WI  WI is REAL The imaginary part of the eigenvalue w in the formula s A  w B . 
[out]  RESULT  RESULT is REAL If INFO is 2 or less, the value computed by the test described above. If INFO=3, this will just be 1/ulp. 
[out]  INFO  INFO is INTEGER =0: The input data pass the "safety checks". =1: s*norm(A) + w*norm(B) > 1/safe_minimum. =2: ulp*max( s*norm(A), w*norm(B) ) < safe_minimum =3: same as INFO=2, but s and w could not be scaled so as to compute the test. 
Definition at line 127 of file sget53.f.
subroutine sget54  (  integer  N, 
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldb, * )  B,  
integer  LDB,  
real, dimension( lds, * )  S,  
integer  LDS,  
real, dimension( ldt, * )  T,  
integer  LDT,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldv, * )  V,  
integer  LDV,  
real, dimension( * )  WORK,  
real  RESULT  
) 
SGET54
SGET54 checks a generalized decomposition of the form A = U*S*V' and B = U*T* V' where ' means transpose and U and V are orthogonal. Specifically, RESULT = ( A  U*S*V', B  U*T*V' ) / (( A, B )*n*ulp )
[in]  N  N is INTEGER The size of the matrix. If it is zero, SGET54 does nothing. It must be at least zero. 
[in]  A  A is REAL array, dimension (LDA, N) The original (unfactored) matrix A. 
[in]  LDA  LDA is INTEGER The leading dimension of A. It must be at least 1 and at least N. 
[in]  B  B is REAL array, dimension (LDB, N) The original (unfactored) matrix B. 
[in]  LDB  LDB is INTEGER The leading dimension of B. It must be at least 1 and at least N. 
[in]  S  S is REAL array, dimension (LDS, N) The factored matrix S. 
[in]  LDS  LDS is INTEGER The leading dimension of S. It must be at least 1 and at least N. 
[in]  T  T is REAL array, dimension (LDT, N) The factored matrix T. 
[in]  LDT  LDT is INTEGER The leading dimension of T. It must be at least 1 and at least N. 
[in]  U  U is REAL array, dimension (LDU, N) The orthogonal matrix on the lefthand side in the decomposition. 
[in]  LDU  LDU is INTEGER The leading dimension of U. LDU must be at least N and at least 1. 
[in]  V  V is REAL array, dimension (LDV, N) The orthogonal matrix on the lefthand side in the decomposition. 
[in]  LDV  LDV is INTEGER The leading dimension of V. LDV must be at least N and at least 1. 
[out]  WORK  WORK is REAL array, dimension (3*N**2) 
[out]  RESULT  RESULT is REAL The value RESULT, It is currently limited to 1/ulp, to avoid overflow. Errors are flagged by RESULT=10/ulp. 
Definition at line 156 of file sget54.f.
subroutine sglmts  (  integer  N, 
integer  M,  
integer  P,  
real, dimension( lda, * )  A,  
real, dimension( lda, * )  AF,  
integer  LDA,  
real, dimension( ldb, * )  B,  
real, dimension( ldb, * )  BF,  
integer  LDB,  
real, dimension( * )  D,  
real, dimension( * )  DF,  
real, dimension( * )  X,  
real, dimension( * )  U,  
real, dimension( lwork )  WORK,  
integer  LWORK,  
real, dimension( * )  RWORK,  
real  RESULT  
) 
SGLMTS
SGLMTS tests SGGGLM  a subroutine for solving the generalized linear model problem.
[in]  N  N is INTEGER The number of rows of the matrices A and B. N >= 0. 
[in]  M  M is INTEGER The number of columns of the matrix A. M >= 0. 
[in]  P  P is INTEGER The number of columns of the matrix B. P >= 0. 
[in]  A  A is REAL array, dimension (LDA,M) The NbyM matrix A. 
[out]  AF  AF is REAL array, dimension (LDA,M) 
[in]  LDA  LDA is INTEGER The leading dimension of the arrays A, AF. LDA >= max(M,N). 
[in]  B  B is REAL array, dimension (LDB,P) The NbyP matrix A. 
[out]  BF  BF is REAL array, dimension (LDB,P) 
[in]  LDB  LDB is INTEGER The leading dimension of the arrays B, BF. LDB >= max(P,N). 
[in]  D  D is REAL array, dimension( N ) On input, the left hand side of the GLM. 
[out]  DF  DF is REAL array, dimension( N ) 
[out]  X  X is REAL array, dimension( M ) solution vector X in the GLM problem. 
[out]  U  U is REAL array, dimension( P ) solution vector U in the GLM problem. 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The dimension of the array WORK. 
[out]  RWORK  RWORK is REAL array, dimension (M) 
[out]  RESULT  RESULT is REAL The test ratio: norm( d  A*x  B*u ) RESULT =  (norm(A)+norm(B))*(norm(x)+norm(u))*EPS 
Definition at line 149 of file sglmts.f.
subroutine sgqrts  (  integer  N, 
integer  M,  
integer  P,  
real, dimension( lda, * )  A,  
real, dimension( lda, * )  AF,  
real, dimension( lda, * )  Q,  
real, dimension( lda, * )  R,  
integer  LDA,  
real, dimension( * )  TAUA,  
real, dimension( ldb, * )  B,  
real, dimension( ldb, * )  BF,  
real, dimension( ldb, * )  Z,  
real, dimension( ldb, * )  T,  
real, dimension( ldb, * )  BWK,  
integer  LDB,  
real, dimension( * )  TAUB,  
real, dimension( lwork )  WORK,  
integer  LWORK,  
real, dimension( * )  RWORK,  
real, dimension( 4 )  RESULT  
) 
SGQRTS
SGQRTS tests SGGQRF, which computes the GQR factorization of an NbyM matrix A and a NbyP matrix B: A = Q*R and B = Q*T*Z.
[in]  N  N is INTEGER The number of rows of the matrices A and B. N >= 0. 
[in]  M  M is INTEGER The number of columns of the matrix A. M >= 0. 
[in]  P  P is INTEGER The number of columns of the matrix B. P >= 0. 
[in]  A  A is REAL array, dimension (LDA,M) The NbyM matrix A. 
[out]  AF  AF is REAL array, dimension (LDA,N) Details of the GQR factorization of A and B, as returned by SGGQRF, see SGGQRF for further details. 
[out]  Q  Q is REAL array, dimension (LDA,N) The MbyM orthogonal matrix Q. 
[out]  R  R is REAL array, dimension (LDA,MAX(M,N)) 
[in]  LDA  LDA is INTEGER The leading dimension of the arrays A, AF, R and Q. LDA >= max(M,N). 
[out]  TAUA  TAUA is REAL array, dimension (min(M,N)) The scalar factors of the elementary reflectors, as returned by SGGQRF. 
[in]  B  B is REAL array, dimension (LDB,P) On entry, the NbyP matrix A. 
[out]  BF  BF is REAL array, dimension (LDB,N) Details of the GQR factorization of A and B, as returned by SGGQRF, see SGGQRF for further details. 
[out]  Z  Z is REAL array, dimension (LDB,P) The PbyP orthogonal matrix Z. 
[out]  T  T is REAL array, dimension (LDB,max(P,N)) 
[out]  BWK  BWK is REAL array, dimension (LDB,N) 
[in]  LDB  LDB is INTEGER The leading dimension of the arrays B, BF, Z and T. LDB >= max(P,N). 
[out]  TAUB  TAUB is REAL array, dimension (min(P,N)) The scalar factors of the elementary reflectors, as returned by SGGRQF. 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The dimension of the array WORK, LWORK >= max(N,M,P)**2. 
[out]  RWORK  RWORK is REAL array, dimension (max(N,M,P)) 
[out]  RESULT  RESULT is REAL array, dimension (4) The test ratios: RESULT(1) = norm( R  Q'*A ) / ( MAX(M,N)*norm(A)*ULP) RESULT(2) = norm( T*Z  Q'*B ) / (MAX(P,N)*norm(B)*ULP) RESULT(3) = norm( I  Q'*Q ) / ( M*ULP ) RESULT(4) = norm( I  Z'*Z ) / ( P*ULP ) 
Definition at line 176 of file sgqrts.f.
subroutine sgrqts  (  integer  M, 
integer  P,  
integer  N,  
real, dimension( lda, * )  A,  
real, dimension( lda, * )  AF,  
real, dimension( lda, * )  Q,  
real, dimension( lda, * )  R,  
integer  LDA,  
real, dimension( * )  TAUA,  
real, dimension( ldb, * )  B,  
real, dimension( ldb, * )  BF,  
real, dimension( ldb, * )  Z,  
real, dimension( ldb, * )  T,  
real, dimension( ldb, * )  BWK,  
integer  LDB,  
real, dimension( * )  TAUB,  
real, dimension( lwork )  WORK,  
integer  LWORK,  
real, dimension( * )  RWORK,  
real, dimension( 4 )  RESULT  
) 
SGRQTS
SGRQTS tests SGGRQF, which computes the GRQ factorization of an MbyN matrix A and a PbyN matrix B: A = R*Q and B = Z*T*Q.
[in]  M  M is INTEGER The number of rows of the matrix A. M >= 0. 
[in]  P  P is INTEGER The number of rows of the matrix B. P >= 0. 
[in]  N  N is INTEGER The number of columns of the matrices A and B. N >= 0. 
[in]  A  A is REAL array, dimension (LDA,N) The MbyN matrix A. 
[out]  AF  AF is REAL array, dimension (LDA,N) Details of the GRQ factorization of A and B, as returned by SGGRQF, see SGGRQF for further details. 
[out]  Q  Q is REAL array, dimension (LDA,N) The NbyN orthogonal matrix Q. 
[out]  R  R is REAL array, dimension (LDA,MAX(M,N)) 
[in]  LDA  LDA is INTEGER The leading dimension of the arrays A, AF, R and Q. LDA >= max(M,N). 
[out]  TAUA  TAUA is REAL array, dimension (min(M,N)) The scalar factors of the elementary reflectors, as returned by SGGQRC. 
[in]  B  B is REAL array, dimension (LDB,N) On entry, the PbyN matrix A. 
[out]  BF  BF is REAL array, dimension (LDB,N) Details of the GQR factorization of A and B, as returned by SGGRQF, see SGGRQF for further details. 
[out]  Z  Z is REAL array, dimension (LDB,P) The PbyP orthogonal matrix Z. 
[out]  T  T is REAL array, dimension (LDB,max(P,N)) 
[out]  BWK  BWK is REAL array, dimension (LDB,N) 
[in]  LDB  LDB is INTEGER The leading dimension of the arrays B, BF, Z and T. LDB >= max(P,N). 
[out]  TAUB  TAUB is REAL array, dimension (min(P,N)) The scalar factors of the elementary reflectors, as returned by SGGRQF. 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The dimension of the array WORK, LWORK >= max(M,P,N)**2. 
[out]  RWORK  RWORK is REAL array, dimension (M) 
[out]  RESULT  RESULT is REAL array, dimension (4) The test ratios: RESULT(1) = norm( R  A*Q' ) / ( MAX(M,N)*norm(A)*ULP) RESULT(2) = norm( T*Q  Z'*B ) / (MAX(P,N)*norm(B)*ULP) RESULT(3) = norm( I  Q'*Q ) / ( N*ULP ) RESULT(4) = norm( I  Z'*Z ) / ( P*ULP ) 
Definition at line 177 of file sgrqts.f.
subroutine sgsvts  (  integer  M, 
integer  P,  
integer  N,  
real, dimension( lda, * )  A,  
real, dimension( lda, * )  AF,  
integer  LDA,  
real, dimension( ldb, * )  B,  
real, dimension( ldb, * )  BF,  
integer  LDB,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldv, * )  V,  
integer  LDV,  
real, dimension( ldq, * )  Q,  
integer  LDQ,  
real, dimension( * )  ALPHA,  
real, dimension( * )  BETA,  
real, dimension( ldr, * )  R,  
integer  LDR,  
integer, dimension( * )  IWORK,  
real, dimension( lwork )  WORK,  
integer  LWORK,  
real, dimension( * )  RWORK,  
real, dimension( 6 )  RESULT  
) 
SGSVTS
SGSVTS tests SGGSVD, which computes the GSVD of an MbyN matrix A and a PbyN matrix B: U'*A*Q = D1*R and V'*B*Q = D2*R.
[in]  M  M is INTEGER The number of rows of the matrix A. M >= 0. 
[in]  P  P is INTEGER The number of rows of the matrix B. P >= 0. 
[in]  N  N is INTEGER The number of columns of the matrices A and B. N >= 0. 
[in]  A  A is REAL array, dimension (LDA,M) The MbyN matrix A. 
[out]  AF  AF is REAL array, dimension (LDA,N) Details of the GSVD of A and B, as returned by SGGSVD, see SGGSVD for further details. 
[in]  LDA  LDA is INTEGER The leading dimension of the arrays A and AF. LDA >= max( 1,M ). 
[in]  B  B is REAL array, dimension (LDB,P) On entry, the PbyN matrix B. 
[out]  BF  BF is REAL array, dimension (LDB,N) Details of the GSVD of A and B, as returned by SGGSVD, see SGGSVD for further details. 
[in]  LDB  LDB is INTEGER The leading dimension of the arrays B and BF. LDB >= max(1,P). 
[out]  U  U is REAL array, dimension(LDU,M) The M by M orthogonal matrix U. 
[in]  LDU  LDU is INTEGER The leading dimension of the array U. LDU >= max(1,M). 
[out]  V  V is REAL array, dimension(LDV,M) The P by P orthogonal matrix V. 
[in]  LDV  LDV is INTEGER The leading dimension of the array V. LDV >= max(1,P). 
[out]  Q  Q is REAL array, dimension(LDQ,N) The N by N orthogonal matrix Q. 
[in]  LDQ  LDQ is INTEGER The leading dimension of the array Q. LDQ >= max(1,N). 
[out]  ALPHA  ALPHA is REAL array, dimension (N) 
[out]  BETA  BETA is REAL array, dimension (N) The generalized singular value pairs of A and B, the ``diagonal'' matrices D1 and D2 are constructed from ALPHA and BETA, see subroutine SGGSVD for details. 
[out]  R  R is REAL array, dimension(LDQ,N) The upper triangular matrix R. 
[in]  LDR  LDR is INTEGER The leading dimension of the array R. LDR >= max(1,N). 
[out]  IWORK  IWORK is INTEGER array, dimension (N) 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The dimension of the array WORK, LWORK >= max(M,P,N)*max(M,P,N). 
[out]  RWORK  RWORK is REAL array, dimension (max(M,P,N)) 
[out]  RESULT  RESULT is REAL array, dimension (6) The test ratios: RESULT(1) = norm( U'*A*Q  D1*R ) / ( MAX(M,N)*norm(A)*ULP) RESULT(2) = norm( V'*B*Q  D2*R ) / ( MAX(P,N)*norm(B)*ULP) RESULT(3) = norm( I  U'*U ) / ( M*ULP ) RESULT(4) = norm( I  V'*V ) / ( P*ULP ) RESULT(5) = norm( I  Q'*Q ) / ( N*ULP ) RESULT(6) = 0 if ALPHA is in decreasing order; = ULPINV otherwise. 
Definition at line 209 of file sgsvts.f.
subroutine shst01  (  integer  N, 
integer  ILO,  
integer  IHI,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldh, * )  H,  
integer  LDH,  
real, dimension( ldq, * )  Q,  
integer  LDQ,  
real, dimension( lwork )  WORK,  
integer  LWORK,  
real, dimension( 2 )  RESULT  
) 
SHST01
SHST01 tests the reduction of a general matrix A to upper Hessenberg form: A = Q*H*Q'. Two test ratios are computed; RESULT(1) = norm( A  Q*H*Q' ) / ( norm(A) * N * EPS ) RESULT(2) = norm( I  Q'*Q ) / ( N * EPS ) The matrix Q is assumed to be given explicitly as it would be following SGEHRD + SORGHR. In this version, ILO and IHI are not used and are assumed to be 1 and N, respectively.
[in]  N  N is INTEGER The order of the matrix A. N >= 0. 
[in]  ILO  ILO is INTEGER 
[in]  IHI  IHI is INTEGER A is assumed to be upper triangular in rows and columns 1:ILO1 and IHI+1:N, so Q differs from the identity only in rows and columns ILO+1:IHI. 
[in]  A  A is REAL array, dimension (LDA,N) The original n by n matrix A. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= max(1,N). 
[in]  H  H is REAL array, dimension (LDH,N) The upper Hessenberg matrix H from the reduction A = Q*H*Q' as computed by SGEHRD. H is assumed to be zero below the first subdiagonal. 
[in]  LDH  LDH is INTEGER The leading dimension of the array H. LDH >= max(1,N). 
[in]  Q  Q is REAL array, dimension (LDQ,N) The orthogonal matrix Q from the reduction A = Q*H*Q' as computed by SGEHRD + SORGHR. 
[in]  LDQ  LDQ is INTEGER The leading dimension of the array Q. LDQ >= max(1,N). 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The length of the array WORK. LWORK >= 2*N*N. 
[out]  RESULT  RESULT is REAL array, dimension (2) RESULT(1) = norm( A  Q*H*Q' ) / ( norm(A) * N * EPS ) RESULT(2) = norm( I  Q'*Q ) / ( N * EPS ) 
Definition at line 134 of file shst01.f.
subroutine slafts  (  character*3  TYPE, 
integer  M,  
integer  N,  
integer  IMAT,  
integer  NTESTS,  
real, dimension( * )  RESULT,  
integer, dimension( 4 )  ISEED,  
real  THRESH,  
integer  IOUNIT,  
integer  IE  
) 
SLAFTS
SLAFTS tests the result vector against the threshold value to see which tests for this matrix type failed to pass the threshold. Output is to the file given by unit IOUNIT.
TYPE  CHARACTER*3 On entry, TYPE specifies the matrix type to be used in the printed messages. Not modified. N  INTEGER On entry, N specifies the order of the test matrix. Not modified. IMAT  INTEGER On entry, IMAT specifies the type of the test matrix. A listing of the different types is printed by SLAHD2 to the output file if a test fails to pass the threshold. Not modified. NTESTS  INTEGER On entry, NTESTS is the number of tests performed on the subroutines in the path given by TYPE. Not modified. RESULT  REAL array of dimension( NTESTS ) On entry, RESULT contains the test ratios from the tests performed in the calling program. Not modified. ISEED  INTEGER array of dimension( 4 ) Contains the random seed that generated the matrix used for the tests whose ratios are in RESULT. Not modified. THRESH  REAL On entry, THRESH specifies the acceptable threshold of the test ratios. If RESULT( K ) > THRESH, then the Kth test did not pass the threshold and a message will be printed. Not modified. IOUNIT  INTEGER On entry, IOUNIT specifies the unit number of the file to which the messages are printed. Not modified. IE  INTEGER On entry, IE contains the number of tests which have failed to pass the threshold so far. Updated on exit if any of the ratios in RESULT also fail.
Definition at line 99 of file slafts.f.
subroutine slahd2  (  integer  IOUNIT, 
character*3  PATH  
) 
SLAHD2
SLAHD2 prints header information for the different test paths.
[in]  IOUNIT  IOUNIT is INTEGER. On entry, IOUNIT specifies the unit number to which the header information should be printed. 
[in]  PATH  PATH is CHARACTER*3. On entry, PATH contains the name of the path for which the header information is to be printed. Current paths are SHS, CHS: Nonsymmetric eigenproblem. SST, CST: Symmetric eigenproblem. SSG, CSG: Symmetric Generalized eigenproblem. SBD, CBD: Singular Value Decomposition (SVD) SBB, CBB: General Banded reduction to bidiagonal form These paths also are supplied in double precision (replace leading S by D and leading C by Z in path names). 
Definition at line 66 of file slahd2.f.
subroutine slarfy  (  character  UPLO, 
integer  N,  
real, dimension( * )  V,  
integer  INCV,  
real  TAU,  
real, dimension( ldc, * )  C,  
integer  LDC,  
real, dimension( * )  WORK  
) 
SLARFY
SLARFY applies an elementary reflector, or Householder matrix, H, to an n x n symmetric matrix C, from both the left and the right. H is represented in the form H = I  tau * v * v' where tau is a scalar and v is a vector. If tau is zero, then H is taken to be the unit matrix.
[in]  UPLO  UPLO is CHARACTER*1 Specifies whether the upper or lower triangular part of the symmetric matrix C is stored. = 'U': Upper triangle = 'L': Lower triangle 
[in]  N  N is INTEGER The number of rows and columns of the matrix C. N >= 0. 
[in]  V  V is REAL array, dimension (1 + (N1)*abs(INCV)) The vector v as described above. 
[in]  INCV  INCV is INTEGER The increment between successive elements of v. INCV must not be zero. 
[in]  TAU  TAU is REAL The value tau as described above. 
[in,out]  C  C is REAL array, dimension (LDC, N) On entry, the matrix C. On exit, C is overwritten by H * C * H'. 
[in]  LDC  LDC is INTEGER The leading dimension of the array C. LDC >= max( 1, N ). 
[out]  WORK  WORK is REAL array, dimension (N) 
Definition at line 109 of file slarfy.f.
subroutine slarhs  (  character*3  PATH, 
character  XTYPE,  
character  UPLO,  
character  TRANS,  
integer  M,  
integer  N,  
integer  KL,  
integer  KU,  
integer  NRHS,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldx, * )  X,  
integer  LDX,  
real, dimension( ldb, * )  B,  
integer  LDB,  
integer, dimension( 4 )  ISEED,  
integer  INFO  
) 
SLARHS
SLARHS chooses a set of NRHS random solution vectors and sets up the right hand sides for the linear system op( A ) * X = B, where op( A ) may be A or A' (transpose of A).
[in]  PATH  PATH is CHARACTER*3 The type of the real matrix A. PATH may be given in any combination of upper and lower case. Valid types include xGE: General m x n matrix xGB: General banded matrix xPO: Symmetric positive definite, 2D storage xPP: Symmetric positive definite packed xPB: Symmetric positive definite banded xSY: Symmetric indefinite, 2D storage xSP: Symmetric indefinite packed xSB: Symmetric indefinite banded xTR: Triangular xTP: Triangular packed xTB: Triangular banded xQR: General m x n matrix xLQ: General m x n matrix xQL: General m x n matrix xRQ: General m x n matrix where the leading character indicates the precision. 
[in]  XTYPE  XTYPE is CHARACTER*1 Specifies how the exact solution X will be determined: = 'N': New solution; generate a random X. = 'C': Computed; use value of X on entry. 
[in]  UPLO  UPLO is CHARACTER*1 Specifies whether the upper or lower triangular part of the matrix A is stored, if A is symmetric. = 'U': Upper triangular = 'L': Lower triangular 
[in]  TRANS  TRANS is CHARACTER*1 Specifies the operation applied to the matrix A. = 'N': System is A * x = b = 'T': System is A'* x = b = 'C': System is A'* x = b 
[in]  M  M is INTEGER The number or rows of the matrix A. M >= 0. 
[in]  N  N is INTEGER The number of columns of the matrix A. N >= 0. 
[in]  KL  KL is INTEGER Used only if A is a band matrix; specifies the number of subdiagonals of A if A is a general band matrix or if A is symmetric or triangular and UPLO = 'L'; specifies the number of superdiagonals of A if A is symmetric or triangular and UPLO = 'U'. 0 <= KL <= M1. 
[in]  KU  KU is INTEGER Used only if A is a general band matrix or if A is triangular. If PATH = xGB, specifies the number of superdiagonals of A, and 0 <= KU <= N1. If PATH = xTR, xTP, or xTB, specifies whether or not the matrix has unit diagonal: = 1: matrix has nonunit diagonal (default) = 2: matrix has unit diagonal 
[in]  NRHS  NRHS is INTEGER The number of right hand side vectors in the system A*X = B. 
[in]  A  A is REAL array, dimension (LDA,N) The test matrix whose type is given by PATH. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. If PATH = xGB, LDA >= KL+KU+1. If PATH = xPB, xSB, xHB, or xTB, LDA >= KL+1. Otherwise, LDA >= max(1,M). 
[in,out]  X  X is or output) REAL array, dimension(LDX,NRHS) On entry, if XTYPE = 'C' (for 'Computed'), then X contains the exact solution to the system of linear equations. On exit, if XTYPE = 'N' (for 'New'), then X is initialized with random values. 
[in]  LDX  LDX is INTEGER The leading dimension of the array X. If TRANS = 'N', LDX >= max(1,N); if TRANS = 'T', LDX >= max(1,M). 
[out]  B  B is REAL array, dimension (LDB,NRHS) The right hand side vector(s) for the system of equations, computed from B = op(A) * X, where op(A) is determined by TRANS. 
[in]  LDB  LDB is INTEGER The leading dimension of the array B. If TRANS = 'N', LDB >= max(1,M); if TRANS = 'T', LDB >= max(1,N). 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) The seed vector for the random number generator (used in SLATMS). Modified on exit. 
[out]  INFO  INFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value 
Definition at line 204 of file slarhs.f.
subroutine slatb9  (  character*3  PATH, 
integer  IMAT,  
integer  M,  
integer  P,  
integer  N,  
character  TYPE,  
integer  KLA,  
integer  KUA,  
integer  KLB,  
integer  KUB,  
real  ANORM,  
real  BNORM,  
integer  MODEA,  
integer  MODEB,  
real  CNDNMA,  
real  CNDNMB,  
character  DISTA,  
character  DISTB  
) 
SLATB9
SLATB9 sets parameters for the matrix generator based on the type of matrix to be generated.
[in]  PATH  PATH is CHARACTER*3 The LAPACK path name. 
[in]  IMAT  IMAT is INTEGER An integer key describing which matrix to generate for this path. = 1: A: diagonal, B: upper triangular = 2: A: upper triangular, B: upper triangular = 3: A: lower triangular, B: upper triangular Else: A: general dense, B: general dense 
[in]  M  M is INTEGER The number of rows in the matrix to be generated. 
[in]  P  P is INTEGER 
[in]  N  N is INTEGER The number of columns in the matrix to be generated. 
[out]  TYPE  TYPE is CHARACTER*1 The type of the matrix to be generated: = 'S': symmetric matrix; = 'P': symmetric positive (semi)definite matrix; = 'N': nonsymmetric matrix. 
[out]  KLA  KLA is INTEGER The lower band width of the matrix to be generated. 
[out]  KUA  KUA is INTEGER The upper band width of the matrix to be generated. 
[out]  KLB  KLB is INTEGER The lower band width of the matrix to be generated. 
[out]  KUB  KUA is INTEGER The upper band width of the matrix to be generated. 
[out]  ANORM  ANORM is REAL The desired norm of the matrix to be generated. The diagonal matrix of singular values or eigenvalues is scaled by this value. 
[out]  BNORM  BNORM is REAL The desired norm of the matrix to be generated. The diagonal matrix of singular values or eigenvalues is scaled by this value. 
[out]  MODEA  MODEA is INTEGER A key indicating how to choose the vector of eigenvalues. 
[out]  MODEB  MODEB is INTEGER A key indicating how to choose the vector of eigenvalues. 
[out]  CNDNMA  CNDNMA is REAL The desired condition number. 
[out]  CNDNMB  CNDNMB is REAL The desired condition number. 
[out]  DISTA  DISTA is CHARACTER*1 The type of distribution to be used by the random number generator. 
[out]  DISTB  DISTB is CHARACTER*1 The type of distribution to be used by the random number generator. 
Definition at line 169 of file slatb9.f.
subroutine slatm4  (  integer  ITYPE, 
integer  N,  
integer  NZ1,  
integer  NZ2,  
integer  ISIGN,  
real  AMAGN,  
real  RCOND,  
real  TRIANG,  
integer  IDIST,  
integer, dimension( 4 )  ISEED,  
real, dimension( lda, * )  A,  
integer  LDA  
) 
SLATM4
SLATM4 generates basic square matrices, which may later be multiplied by others in order to produce test matrices. It is intended mainly to be used to test the generalized eigenvalue routines. It first generates the diagonal and (possibly) subdiagonal, according to the value of ITYPE, NZ1, NZ2, ISIGN, AMAGN, and RCOND. It then fills in the upper triangle with random numbers, if TRIANG is nonzero.
[in]  ITYPE  ITYPE is INTEGER The "type" of matrix on the diagonal and subdiagonal. If ITYPE < 0, then type abs(ITYPE) is generated and then swapped end for end (A(I,J) := A'(NJ,NI).) See also the description of AMAGN and ISIGN. Special types: = 0: the zero matrix. = 1: the identity. = 2: a transposed Jordan block. = 3: If N is odd, then a k+1 x k+1 transposed Jordan block followed by a k x k identity block, where k=(N1)/2. If N is even, then k=(N2)/2, and a zero diagonal entry is tacked onto the end. Diagonal types. The diagonal consists of NZ1 zeros, then k=NNZ1NZ2 nonzeros. The subdiagonal is zero. ITYPE specifies the nonzero diagonal entries as follows: = 4: 1, ..., k = 5: 1, RCOND, ..., RCOND = 6: 1, ..., 1, RCOND = 7: 1, a, a^2, ..., a^(k1)=RCOND = 8: 1, 1d, 12*d, ..., 1(k1)*d=RCOND = 9: random numbers chosen from (RCOND,1) = 10: random numbers with distribution IDIST (see SLARND.) 
[in]  N  N is INTEGER The order of the matrix. 
[in]  NZ1  NZ1 is INTEGER If abs(ITYPE) > 3, then the first NZ1 diagonal entries will be zero. 
[in]  NZ2  NZ2 is INTEGER If abs(ITYPE) > 3, then the last NZ2 diagonal entries will be zero. 
[in]  ISIGN  ISIGN is INTEGER = 0: The sign of the diagonal and subdiagonal entries will be left unchanged. = 1: The diagonal and subdiagonal entries will have their sign changed at random. = 2: If ITYPE is 2 or 3, then the same as ISIGN=1. Otherwise, with probability 0.5, oddeven pairs of diagonal entries A(2*j1,2*j1), A(2*j,2*j) will be converted to a 2x2 block by pre and postmultiplying by distinct random orthogonal rotations. The remaining diagonal entries will have their sign changed at random. 
[in]  AMAGN  AMAGN is REAL The diagonal and subdiagonal entries will be multiplied by AMAGN. 
[in]  RCOND  RCOND is REAL If abs(ITYPE) > 4, then the smallest diagonal entry will be entry will be RCOND. RCOND must be between 0 and 1. 
[in]  TRIANG  TRIANG is REAL The entries above the diagonal will be random numbers with magnitude bounded by TRIANG (i.e., random numbers multiplied by TRIANG.) 
[in]  IDIST  IDIST is INTEGER Specifies the type of distribution to be used to generate a random matrix. = 1: UNIFORM( 0, 1 ) = 2: UNIFORM( 1, 1 ) = 3: NORMAL ( 0, 1 ) 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry ISEED specifies the seed of the random number generator. The values of ISEED are changed on exit, and can be used in the next call to SLATM4 to continue the same random number sequence. Note: ISEED(4) should be odd, for the random number generator used at present. 
[out]  A  A is REAL array, dimension (LDA, N) Array to be computed. 
[in]  LDA  LDA is INTEGER Leading dimension of A. Must be at least 1 and at least N. 
Definition at line 175 of file slatm4.f.
LOGICAL function slctes  (  real  ZR, 
real  ZI,  
real  D  
) 
SLCTES
SLCTES returns .TRUE. if the eigenvalue (ZR/D) + sqrt(1)*(ZI/D) is to be selected (specifically, in this subroutine, if the real part of the eigenvalue is negative), and otherwise it returns .FALSE.. It is used by the test routine SDRGES to test whether the driver routine SGGES succesfully sorts eigenvalues.
[in]  ZR  ZR is REAL The numerator of the real part of a complex eigenvalue (ZR/D) + i*(ZI/D). 
[in]  ZI  ZI is REAL The numerator of the imaginary part of a complex eigenvalue (ZR/D) + i*(ZI). 
[in]  D  D is REAL The denominator part of a complex eigenvalue (ZR/D) + i*(ZI/D). 
Definition at line 69 of file slctes.f.
LOGICAL function slctsx  (  real  AR, 
real  AI,  
real  BETA  
) 
SLCTSX
This function is used to determine what eigenvalues will be selected. If this is part of the test driver SDRGSX, do not change the code UNLESS you are testing input examples and not using the builtin examples.
[in]  AR  AR is REAL The numerator of the real part of a complex eigenvalue (AR/BETA) + i*(AI/BETA). 
[in]  AI  AI is REAL The numerator of the imaginary part of a complex eigenvalue (AR/BETA) + i*(AI). 
[in]  BETA  BETA is REAL The denominator part of a complex eigenvalue (AR/BETA) + i*(AI/BETA). 
Definition at line 66 of file slctsx.f.
subroutine slsets  (  integer  M, 
integer  P,  
integer  N,  
real, dimension( lda, * )  A,  
real, dimension( lda, * )  AF,  
integer  LDA,  
real, dimension( ldb, * )  B,  
real, dimension( ldb, * )  BF,  
integer  LDB,  
real, dimension( * )  C,  
real, dimension( * )  CF,  
real, dimension( * )  D,  
real, dimension( * )  DF,  
real, dimension( * )  X,  
real, dimension( lwork )  WORK,  
integer  LWORK,  
real, dimension( * )  RWORK,  
real, dimension( 2 )  RESULT  
) 
SLSETS
SLSETS tests SGGLSE  a subroutine for solving linear equality constrained least square problem (LSE).
[in]  M  M is INTEGER The number of rows of the matrix A. M >= 0. 
[in]  P  P is INTEGER The number of rows of the matrix B. P >= 0. 
[in]  N  N is INTEGER The number of columns of the matrices A and B. N >= 0. 
[in]  A  A is REAL array, dimension (LDA,N) The MbyN matrix A. 
[out]  AF  AF is REAL array, dimension (LDA,N) 
[in]  LDA  LDA is INTEGER The leading dimension of the arrays A, AF, Q and R. LDA >= max(M,N). 
[in]  B  B is REAL array, dimension (LDB,N) The PbyN matrix A. 
[out]  BF  BF is REAL array, dimension (LDB,N) 
[in]  LDB  LDB is INTEGER The leading dimension of the arrays B, BF, V and S. LDB >= max(P,N). 
[in]  C  C is REAL array, dimension( M ) the vector C in the LSE problem. 
[out]  CF  CF is REAL array, dimension( M ) 
[in]  D  D is REAL array, dimension( P ) the vector D in the LSE problem. 
[out]  DF  DF is REAL array, dimension( P ) 
[out]  X  X is REAL array, dimension( N ) solution vector X in the LSE problem. 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The dimension of the array WORK. 
[out]  RWORK  RWORK is REAL array, dimension (M) 
[out]  RESULT  RESULT is REAL array, dimension (2) The test ratios: RESULT(1) = norm( A*x  c )/ norm(A)*norm(X)*EPS RESULT(2) = norm( B*x  d )/ norm(B)*norm(X)*EPS 
Definition at line 155 of file slsets.f.
subroutine sort01  (  character  ROWCOL, 
integer  M,  
integer  N,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( * )  WORK,  
integer  LWORK,  
real  RESID  
) 
SORT01
SORT01 checks that the matrix U is orthogonal by computing the ratio RESID = norm( I  U*U' ) / ( n * EPS ), if ROWCOL = 'R', or RESID = norm( I  U'*U ) / ( m * EPS ), if ROWCOL = 'C'. Alternatively, if there isn't sufficient workspace to form I  U*U' or I  U'*U, the ratio is computed as RESID = abs( I  U*U' ) / ( n * EPS ), if ROWCOL = 'R', or RESID = abs( I  U'*U ) / ( m * EPS ), if ROWCOL = 'C'. where EPS is the machine precision. ROWCOL is used only if m = n; if m > n, ROWCOL is assumed to be 'C', and if m < n, ROWCOL is assumed to be 'R'.
[in]  ROWCOL  ROWCOL is CHARACTER Specifies whether the rows or columns of U should be checked for orthogonality. Used only if M = N. = 'R': Check for orthogonal rows of U = 'C': Check for orthogonal columns of U 
[in]  M  M is INTEGER The number of rows of the matrix U. 
[in]  N  N is INTEGER The number of columns of the matrix U. 
[in]  U  U is REAL array, dimension (LDU,N) The orthogonal matrix U. U is checked for orthogonal columns if m > n or if m = n and ROWCOL = 'C'. U is checked for orthogonal rows if m < n or if m = n and ROWCOL = 'R'. 
[in]  LDU  LDU is INTEGER The leading dimension of the array U. LDU >= max(1,M). 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The length of the array WORK. For best performance, LWORK should be at least N*(N+1) if ROWCOL = 'C' or M*(M+1) if ROWCOL = 'R', but the test will be done even if LWORK is 0. 
[out]  RESID  RESID is REAL RESID = norm( I  U * U' ) / ( n * EPS ), if ROWCOL = 'R', or RESID = norm( I  U' * U ) / ( m * EPS ), if ROWCOL = 'C'. 
Definition at line 117 of file sort01.f.
subroutine sort03  (  character*( * )  RC, 
integer  MU,  
integer  MV,  
integer  N,  
integer  K,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldv, * )  V,  
integer  LDV,  
real, dimension( * )  WORK,  
integer  LWORK,  
real  RESULT,  
integer  INFO  
) 
SORT03
SORT03 compares two orthogonal matrices U and V to see if their corresponding rows or columns span the same spaces. The rows are checked if RC = 'R', and the columns are checked if RC = 'C'. RESULT is the maximum of  V*V'  I  / ( MV ulp ), if RC = 'R', or  V'*V  I  / ( MV ulp ), if RC = 'C', and the maximum over rows (or columns) 1 to K of  U(i)  S*V(i) / ( N ulp ) where S is +1 (chosen to minimize the expression), U(i) is the ith row (column) of U, and V(i) is the ith row (column) of V.
[in]  RC  RC is CHARACTER*1 If RC = 'R' the rows of U and V are to be compared. If RC = 'C' the columns of U and V are to be compared. 
[in]  MU  MU is INTEGER The number of rows of U if RC = 'R', and the number of columns if RC = 'C'. If MU = 0 SORT03 does nothing. MU must be at least zero. 
[in]  MV  MV is INTEGER The number of rows of V if RC = 'R', and the number of columns if RC = 'C'. If MV = 0 SORT03 does nothing. MV must be at least zero. 
[in]  N  N is INTEGER If RC = 'R', the number of columns in the matrices U and V, and if RC = 'C', the number of rows in U and V. If N = 0 SORT03 does nothing. N must be at least zero. 
[in]  K  K is INTEGER The number of rows or columns of U and V to compare. 0 <= K <= max(MU,MV). 
[in]  U  U is REAL array, dimension (LDU,N) The first matrix to compare. If RC = 'R', U is MU by N, and if RC = 'C', U is N by MU. 
[in]  LDU  LDU is INTEGER The leading dimension of U. If RC = 'R', LDU >= max(1,MU), and if RC = 'C', LDU >= max(1,N). 
[in]  V  V is REAL array, dimension (LDV,N) The second matrix to compare. If RC = 'R', V is MV by N, and if RC = 'C', V is N by MV. 
[in]  LDV  LDV is INTEGER The leading dimension of V. If RC = 'R', LDV >= max(1,MV), and if RC = 'C', LDV >= max(1,N). 
[out]  WORK  WORK is REAL array, dimension (LWORK) 
[in]  LWORK  LWORK is INTEGER The length of the array WORK. For best performance, LWORK should be at least N*N if RC = 'C' or M*M if RC = 'R', but the tests will be done even if LWORK is 0. 
[out]  RESULT  RESULT is REAL The value computed by the test described above. RESULT is limited to 1/ulp to avoid overflow. 
[out]  INFO  INFO is INTEGER 0 indicates a successful exit k indicates the kth parameter had an illegal value 
Definition at line 156 of file sort03.f.
subroutine ssbt21  (  character  UPLO, 
integer  N,  
integer  KA,  
integer  KS,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( * )  D,  
real, dimension( * )  E,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( * )  WORK,  
real, dimension( 2 )  RESULT  
) 
SSBT21
SSBT21 generally checks a decomposition of the form A = U S U' where ' means transpose, A is symmetric banded, U is orthogonal, and S is diagonal (if KS=0) or symmetric tridiagonal (if KS=1). Specifically: RESULT(1) =  A  U S U'  / ( A n ulp ) *andC> RESULT(2) =  I  UU'  / ( n ulp )
[in]  UPLO  UPLO is 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. 
[in]  N  N is INTEGER The size of the matrix. If it is zero, SSBT21 does nothing. It must be at least zero. 
[in]  KA  KA is INTEGER The bandwidth of the matrix A. It must be at least zero. If it is larger than N1, then max( 0, N1 ) will be used. 
[in]  KS  KS is INTEGER The bandwidth of the matrix S. It may only be zero or one. If zero, then S is diagonal, and E is not referenced. If one, then S is symmetric tridiagonal. 
[in]  A  A is REAL array, dimension (LDA, N) The original (unfactored) matrix. It is assumed to be symmetric, and only the upper (UPLO='U') or only the lower (UPLO='L') will be referenced. 
[in]  LDA  LDA is INTEGER The leading dimension of A. It must be at least 1 and at least min( KA, N1 ). 
[in]  D  D is REAL array, dimension (N) The diagonal of the (symmetric tri) diagonal matrix S. 
[in]  E  E is REAL array, dimension (N1) The offdiagonal of the (symmetric tri) diagonal matrix S. E(1) is the (1,2) and (2,1) element, E(2) is the (2,3) and (3,2) element, etc. Not referenced if KS=0. 
[in]  U  U is REAL array, dimension (LDU, N) The orthogonal matrix in the decomposition, expressed as a dense matrix (i.e., not as a product of Householder transformations, Givens transformations, etc.) 
[in]  LDU  LDU is INTEGER The leading dimension of U. LDU must be at least N and at least 1. 
[out]  WORK  WORK is REAL array, dimension (N**2+N) 
[out]  RESULT  RESULT is REAL array, dimension (2) The values computed by the two tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
Definition at line 146 of file ssbt21.f.
subroutine ssgt01  (  integer  ITYPE, 
character  UPLO,  
integer  N,  
integer  M,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( ldb, * )  B,  
integer  LDB,  
real, dimension( ldz, * )  Z,  
integer  LDZ,  
real, dimension( * )  D,  
real, dimension( * )  WORK,  
real, dimension( * )  RESULT  
) 
SSGT01
SSGT01 checks a decomposition of the form A Z = B Z D or A B Z = Z D or B A Z = Z D where A is a symmetric matrix, B is symmetric positive definite, Z is orthogonal, and D is diagonal. One of the following test ratios is computed: ITYPE = 1: RESULT(1) =  A Z  B Z D  / ( A Z n ulp ) ITYPE = 2: RESULT(1) =  A B Z  Z D  / ( A Z n ulp ) ITYPE = 3: RESULT(1) =  B A Z  Z D  / ( A Z n ulp )
[in]  ITYPE  ITYPE is INTEGER The form of the symmetric generalized eigenproblem. = 1: A*z = (lambda)*B*z = 2: A*B*z = (lambda)*z = 3: B*A*z = (lambda)*z 
[in]  UPLO  UPLO is CHARACTER*1 Specifies whether the upper or lower triangular part of the symmetric matrices A and B is stored. = 'U': Upper triangular = 'L': Lower triangular 
[in]  N  N is INTEGER The order of the matrix A. N >= 0. 
[in]  M  M is INTEGER The number of eigenvalues found. 0 <= M <= N. 
[in]  A  A is REAL array, dimension (LDA, N) The original symmetric matrix A. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= max(1,N). 
[in]  B  B is REAL array, dimension (LDB, N) The original symmetric positive definite matrix B. 
[in]  LDB  LDB is INTEGER The leading dimension of the array B. LDB >= max(1,N). 
[in]  Z  Z is REAL array, dimension (LDZ, M) The computed eigenvectors of the generalized eigenproblem. 
[in]  LDZ  LDZ is INTEGER The leading dimension of the array Z. LDZ >= max(1,N). 
[in]  D  D is REAL array, dimension (M) The computed eigenvalues of the generalized eigenproblem. 
[out]  WORK  WORK is REAL array, dimension (N*N) 
[out]  RESULT  RESULT is REAL array, dimension (1) The test ratio as described above. 
Definition at line 146 of file ssgt01.f.
LOGICAL function sslect  (  real  ZR, 
real  ZI  
) 
SSLECT
SSLECT returns .TRUE. if the eigenvalue ZR+sqrt(1)*ZI is to be selected, and otherwise it returns .FALSE. It is used by SCHK41 to test if SGEES succesfully sorts eigenvalues, and by SCHK43 to test if SGEESX succesfully sorts eigenvalues. The common block /SSLCT/ controls how eigenvalues are selected. If SELOPT = 0, then SSLECT return .TRUE. when ZR is less than zero, and .FALSE. otherwise. If SELOPT is at least 1, SSLECT returns SELVAL(SELOPT) and adds 1 to SELOPT, cycling back to 1 at SELMAX.
[in]  ZR  ZR is REAL The real part of a complex eigenvalue ZR + i*ZI. 
[in]  ZI  ZI is REAL The imaginary part of a complex eigenvalue ZR + i*ZI. 
Definition at line 63 of file sslect.f.
subroutine sspt21  (  integer  ITYPE, 
character  UPLO,  
integer  N,  
integer  KBAND,  
real, dimension( * )  AP,  
real, dimension( * )  D,  
real, dimension( * )  E,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( * )  VP,  
real, dimension( * )  TAU,  
real, dimension( * )  WORK,  
real, dimension( 2 )  RESULT  
) 
SSPT21
SSPT21 generally checks a decomposition of the form A = U S U' where ' means transpose, A is symmetric (stored in packed format), U is orthogonal, and S is diagonal (if KBAND=0) or symmetric tridiagonal (if KBAND=1). If ITYPE=1, then U is represented as a dense matrix, otherwise the 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 ) *andC> 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  VU'  / ( n ulp ) Packed storage means that, for example, if UPLO='U', then the columns of the upper triangle of A are stored one after another, so that A(1,j+1) immediately follows A(j,j) in the array AP. Similarly, if UPLO='L', then the columns of the lower triangle of A are stored one after another in AP, so that A(j+1,j+1) immediately follows A(n,j) in the array AP. This means that A(i,j) is stored in: AP( i + j*(j1)/2 ) if UPLO='U' AP( i + (2*nj)*(j1)/2 ) if UPLO='L' The array VP bears the same relation to the matrix V that A does to AP. For ITYPE > 1, the transformation U is expressed as a product of Householder transformations: If UPLO='U', then V = H(n1)...H(1), where H(j) = I  tau(j) v(j) v(j)' and the first j1 elements of v(j) are stored in V(1:j1,j+1), (i.e., VP( j*(j+1)/2 + 1 : j*(j+1)/2 + j1 ) ), the jth element is 1, and the last nj elements are 0. If UPLO='L', then V = H(1)...H(n1), where H(j) = I  tau(j) v(j) v(j)' and the first j elements of v(j) are 0, the (j+1)st is 1, and the (j+2)nd through nth elements are stored in V(j+2:n,j) (i.e., in VP( (2*nj)*(j1)/2 + j+2 : (2*nj)*(j1)/2 + n ) .)
[in]  ITYPE  ITYPE is INTEGER Specifies the type of tests to be performed. 1: U expressed as a dense orthogonal matrix: RESULT(1) =  A  U S U'  / ( A n ulp ) *andC> 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 orthogonal matrix and as a product of Housholder transformations: RESULT(1) =  I  VU'  / ( n ulp ) 
[in]  UPLO  UPLO is CHARACTER If UPLO='U', AP and VP are considered to contain the upper triangle of A and V. If UPLO='L', AP and VP are considered to contain the lower triangle of A and V. 
[in]  N  N is INTEGER The size of the matrix. If it is zero, SSPT21 does nothing. It must be at least zero. 
[in]  KBAND  KBAND is 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 tridiagonal. 
[in]  AP  AP is REAL array, dimension (N*(N+1)/2) The original (unfactored) matrix. It is assumed to be symmetric, and contains the columns of just the upper triangle (UPLO='U') or only the lower triangle (UPLO='L'), packed one after another. 
[in]  D  D is REAL array, dimension (N) The diagonal of the (symmetric tri) diagonal matrix. 
[in]  E  E is REAL array, dimension (N1) The offdiagonal 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. 
[in]  U  U is REAL array, dimension (LDU, N) If ITYPE=1 or 3, this contains the orthogonal matrix in the decomposition, expressed as a dense matrix. If ITYPE=2, then it is not referenced. 
[in]  LDU  LDU is INTEGER The leading dimension of U. LDU must be at least N and at least 1. 
[in]  VP  VP is REAL array, dimension (N*(N+1)/2) If ITYPE=2 or 3, the columns of this array contain the Householder vectors used to describe the orthogonal matrix in the decomposition, as described in purpose. *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. 
[in]  TAU  TAU is REAL 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(n2) If ITYPE < 2, then TAU is not referenced. 
[out]  WORK  WORK is REAL array, dimension (N**2+N) Workspace. 
[out]  RESULT  RESULT is REAL 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. 
Definition at line 219 of file sspt21.f.
subroutine sstech  (  integer  N, 
real, dimension( * )  A,  
real, dimension( * )  B,  
real, dimension( * )  EIG,  
real  TOL,  
real, dimension( * )  WORK,  
integer  INFO  
) 
SSTECH
Let T be the tridiagonal matrix with diagonal entries A(1) ,..., A(N) and offdiagonal entries B(1) ,..., B(N1)). SSTECH checks to see if EIG(1) ,..., EIG(N) are indeed accurate eigenvalues of T. It does this by expanding each EIG(I) into an interval [SVD(I)  EPS, SVD(I) + EPS], merging overlapping intervals if any, and using Sturm sequences to count and verify whether each resulting interval has the correct number of eigenvalues (using SSTECT). Here EPS = TOL*MACHEPS*MAXEIG, where MACHEPS is the machine precision and MAXEIG is the absolute value of the largest eigenvalue. If each interval contains the correct number of eigenvalues, INFO = 0 is returned, otherwise INFO is the index of the first eigenvalue in the first bad interval.
[in]  N  N is INTEGER The dimension of the tridiagonal matrix T. 
[in]  A  A is REAL array, dimension (N) The diagonal entries of the tridiagonal matrix T. 
[in]  B  B is REAL array, dimension (N1) The offdiagonal entries of the tridiagonal matrix T. 
[in]  EIG  EIG is REAL array, dimension (N) The purported eigenvalues to be checked. 
[in]  TOL  TOL is REAL Error tolerance for checking, a multiple of the machine precision. 
[out]  WORK  WORK is REAL array, dimension (N) 
[out]  INFO  INFO is INTEGER 0 if the eigenvalues are all correct (to within 1 + TOL*MACHEPS*MAXEIG) >0 if the interval containing the INFOth eigenvalue contains the incorrect number of eigenvalues. 
Definition at line 102 of file sstech.f.
subroutine sstect  (  integer  N, 
real, dimension( * )  A,  
real, dimension( * )  B,  
real  SHIFT,  
integer  NUM  
) 
SSTECT
SSTECT counts the number NUM of eigenvalues of a tridiagonal matrix T which are less than or equal to SHIFT. T has diagonal entries A(1), ... , A(N), and offdiagonal entries B(1), ..., B(N1). See W. Kahan "Accurate Eigenvalues of a Symmetric Tridiagonal Matrix", Report CS41, Computer Science Dept., Stanford University, July 21, 1966
[in]  N  N is INTEGER The dimension of the tridiagonal matrix T. 
[in]  A  A is REAL array, dimension (N) The diagonal entries of the tridiagonal matrix T. 
[in]  B  B is REAL array, dimension (N1) The offdiagonal entries of the tridiagonal matrix T. 
[in]  SHIFT  SHIFT is REAL The shift, used as described under Purpose. 
[out]  NUM  NUM is INTEGER The number of eigenvalues of T less than or equal to SHIFT. 
Definition at line 83 of file sstect.f.
subroutine sstt21  (  integer  N, 
integer  KBAND,  
real, dimension( * )  AD,  
real, dimension( * )  AE,  
real, dimension( * )  SD,  
real, dimension( * )  SE,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( * )  WORK,  
real, dimension( 2 )  RESULT  
) 
SSTT21
SSTT21 checks a decomposition of the form A = U S U' where ' means transpose, A is symmetric tridiagonal, U is orthogonal, and S is diagonal (if KBAND=0) or symmetric tridiagonal (if KBAND=1). Two tests are performed: RESULT(1) =  A  U S U'  / ( A n ulp ) RESULT(2) =  I  UU'  / ( n ulp )
[in]  N  N is INTEGER The size of the matrix. If it is zero, SSTT21 does nothing. It must be at least zero. 
[in]  KBAND  KBAND is INTEGER The bandwidth of the matrix S. It may only be zero or one. If zero, then S is diagonal, and SE is not referenced. If one, then S is symmetric tridiagonal. 
[in]  AD  AD is REAL array, dimension (N) The diagonal of the original (unfactored) matrix A. A is assumed to be symmetric tridiagonal. 
[in]  AE  AE is REAL array, dimension (N1) The offdiagonal of the original (unfactored) matrix A. A is assumed to be symmetric tridiagonal. AE(1) is the (1,2) and (2,1) element, AE(2) is the (2,3) and (3,2) element, etc. 
[in]  SD  SD is REAL array, dimension (N) The diagonal of the (symmetric tri) diagonal matrix S. 
[in]  SE  SE is REAL array, dimension (N1) The offdiagonal of the (symmetric tri) diagonal matrix S. Not referenced if KBSND=0. If KBAND=1, then AE(1) is the (1,2) and (2,1) element, SE(2) is the (2,3) and (3,2) element, etc. 
[in]  U  U is REAL array, dimension (LDU, N) The orthogonal matrix in the decomposition. 
[in]  LDU  LDU is INTEGER The leading dimension of U. LDU must be at least N. 
[out]  WORK  WORK is REAL array, dimension (N*(N+1)) 
[out]  RESULT  RESULT is REAL 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. 
Definition at line 127 of file sstt21.f.
subroutine sstt22  (  integer  N, 
integer  M,  
integer  KBAND,  
real, dimension( * )  AD,  
real, dimension( * )  AE,  
real, dimension( * )  SD,  
real, dimension( * )  SE,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldwork, * )  WORK,  
integer  LDWORK,  
real, dimension( 2 )  RESULT  
) 
SSTT22
SSTT22 checks a set of M eigenvalues and eigenvectors, A U = U S where A is symmetric tridiagonal, the columns of U are orthogonal, and S is diagonal (if KBAND=0) or symmetric tridiagonal (if KBAND=1). Two tests are performed: RESULT(1) =  U' A U  S  / ( A m ulp ) RESULT(2) =  I  U'U  / ( m ulp )
[in]  N  N is INTEGER The size of the matrix. If it is zero, SSTT22 does nothing. It must be at least zero. 
[in]  M  M is INTEGER The number of eigenpairs to check. If it is zero, SSTT22 does nothing. It must be at least zero. 
[in]  KBAND  KBAND is INTEGER The bandwidth of the matrix S. It may only be zero or one. If zero, then S is diagonal, and SE is not referenced. If one, then S is symmetric tridiagonal. 
[in]  AD  AD is REAL array, dimension (N) The diagonal of the original (unfactored) matrix A. A is assumed to be symmetric tridiagonal. 
[in]  AE  AE is REAL array, dimension (N) The offdiagonal of the original (unfactored) matrix A. A is assumed to be symmetric tridiagonal. AE(1) is ignored, AE(2) is the (1,2) and (2,1) element, etc. 
[in]  SD  SD is REAL array, dimension (N) The diagonal of the (symmetric tri) diagonal matrix S. 
[in]  SE  SE is REAL array, dimension (N) The offdiagonal of the (symmetric tri) diagonal matrix S. Not referenced if KBSND=0. If KBAND=1, then AE(1) is ignored, SE(2) is the (1,2) and (2,1) element, etc. 
[in]  U  U is REAL array, dimension (LDU, N) The orthogonal matrix in the decomposition. 
[in]  LDU  LDU is INTEGER The leading dimension of U. LDU must be at least N. 
[out]  WORK  WORK is REAL array, dimension (LDWORK, M+1) 
[in]  LDWORK  LDWORK is INTEGER The leading dimension of WORK. LDWORK must be at least max(1,M). 
[out]  RESULT  RESULT is REAL array, dimension (2) The values computed by the two tests described above. The values are currently limited to 1/ulp, to avoid overflow. 
Definition at line 139 of file sstt22.f.
subroutine ssvdch  (  integer  N, 
real, dimension( * )  S,  
real, dimension( * )  E,  
real, dimension( * )  SVD,  
real  TOL,  
integer  INFO  
) 
SSVDCH
SSVDCH checks to see if SVD(1) ,..., SVD(N) are accurate singular values of the bidiagonal matrix B with diagonal entries S(1) ,..., S(N) and superdiagonal entries E(1) ,..., E(N1)). It does this by expanding each SVD(I) into an interval [SVD(I) * (1EPS) , SVD(I) * (1+EPS)], merging overlapping intervals if any, and using Sturm sequences to count and verify whether each resulting interval has the correct number of singular values (using SSVDCT). Here EPS=TOL*MAX(N/10,1)*MACHEP, where MACHEP is the machine precision. The routine assumes the singular values are sorted with SVD(1) the largest and SVD(N) smallest. If each interval contains the correct number of singular values, INFO = 0 is returned, otherwise INFO is the index of the first singular value in the first bad interval.
[in]  N  N is INTEGER The dimension of the bidiagonal matrix B. 
[in]  S  S is REAL array, dimension (N) The diagonal entries of the bidiagonal matrix B. 
[in]  E  E is REAL array, dimension (N1) The superdiagonal entries of the bidiagonal matrix B. 
[in]  SVD  SVD is REAL array, dimension (N) The computed singular values to be checked. 
[in]  TOL  TOL is REAL Error tolerance for checking, a multiplier of the machine precision. 
[out]  INFO  INFO is INTEGER =0 if the singular values are all correct (to within 1 + TOL*MACHEPS) >0 if the interval containing the INFOth singular value contains the incorrect number of singular values. 
Definition at line 98 of file ssvdch.f.
subroutine ssvdct  (  integer  N, 
real, dimension( * )  S,  
real, dimension( * )  E,  
real  SHIFT,  
integer  NUM  
) 
SSVDCT
SSVDCT counts the number NUM of eigenvalues of a 2*N by 2*N tridiagonal matrix T which are less than or equal to SHIFT. T is formed by putting zeros on the diagonal and making the offdiagonals equal to S(1), E(1), S(2), E(2), ... , E(N1), S(N). If SHIFT is positive, NUM is equal to N plus the number of singular values of a bidiagonal matrix B less than or equal to SHIFT. Here B has diagonal entries S(1), ..., S(N) and superdiagonal entries E(1), ... E(N1). If SHIFT is negative, NUM is equal to the number of singular values of B greater than or equal to SHIFT. See W. Kahan "Accurate Eigenvalues of a Symmetric Tridiagonal Matrix", Report CS41, Computer Science Dept., Stanford University, July 21, 1966
[in]  N  N is INTEGER The dimension of the bidiagonal matrix B. 
[in]  S  S is REAL array, dimension (N) The diagonal entries of the bidiagonal matrix B. 
[in]  E  E is REAL array of dimension (N1) The superdiagonal entries of the bidiagonal matrix B. 
[in]  SHIFT  SHIFT is REAL The shift, used as described under Purpose. 
[out]  NUM  NUM is INTEGER The number of eigenvalues of T less than or equal to SHIFT. 
Definition at line 88 of file ssvdct.f.
REAL function ssxt1  (  integer  IJOB, 
real, dimension( * )  D1,  
integer  N1,  
real, dimension( * )  D2,  
integer  N2,  
real  ABSTOL,  
real  ULP,  
real  UNFL  
) 
SSXT1
SSXT1 computes the difference between a set of eigenvalues. The result is returned as the function value. IJOB = 1: Computes max { min  D1(i)D2(j)  } i j IJOB = 2: Computes max { min  D1(i)D2(j)  / i j ( ABSTOL + D1(i)*ULP ) }
[in]  IJOB  IJOB is INTEGER Specifies the type of tests to be performed. (See above.) 
[in]  D1  D1 is REAL array, dimension (N1) The first array. D1 should be in increasing order, i.e., D1(j) <= D1(j+1). 
[in]  N1  N1 is INTEGER The length of D1. 
[in]  D2  D2 is REAL array, dimension (N2) The second array. D2 should be in increasing order, i.e., D2(j) <= D2(j+1). 
[in]  N2  N2 is INTEGER The length of D2. 
[in]  ABSTOL  ABSTOL is REAL The absolute tolerance, used as a measure of the error. 
[in]  ULP  ULP is REAL Machine precision. 
[in]  UNFL  UNFL is REAL The smallest positive number whose reciprocal does not overflow. 
Definition at line 106 of file ssxt1.f.
subroutine ssyt21  (  integer  ITYPE, 
character  UPLO,  
integer  N,  
integer  KBAND,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( * )  D,  
real, dimension( * )  E,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldv, * )  V,  
integer  LDV,  
real, dimension( * )  TAU,  
real, dimension( * )  WORK,  
real, dimension( 2 )  RESULT  
) 
SSYT21
SSYT21 generally checks a decomposition of the form A = U S U' where ' means transpose, A is symmetric, U is orthogonal, and S is diagonal (if KBAND=0) or 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 ) *andC> 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  VU'  / ( n ulp ) For ITYPE > 1, the transformation U is expressed as a product V = H(1)...H(n2), where H(j) = I  tau(j) v(j) v(j)' and each vector v(j) has its first j elements 0 and the remaining nj elements stored in V(j+1:n,j).
[in]  ITYPE  ITYPE is INTEGER Specifies the type of tests to be performed. 1: U expressed as a dense orthogonal matrix: RESULT(1) =  A  U S U'  / ( A n ulp ) *andC> 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 orthogonal matrix and as a product of Housholder transformations: RESULT(1) =  I  VU'  / ( n ulp ) 
[in]  UPLO  UPLO is 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. 
[in]  N  N is INTEGER The size of the matrix. If it is zero, SSYT21 does nothing. It must be at least zero. 
[in]  KBAND  KBAND is 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 tridiagonal. 
[in]  A  A is REAL array, dimension (LDA, N) The original (unfactored) matrix. It is assumed to be symmetric, and only the upper (UPLO='U') or only the lower (UPLO='L') will be referenced. 
[in]  LDA  LDA is INTEGER The leading dimension of A. It must be at least 1 and at least N. 
[in]  D  D is REAL array, dimension (N) The diagonal of the (symmetric tri) diagonal matrix. 
[in]  E  E is REAL array, dimension (N1) The offdiagonal 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. 
[in]  U  U is REAL array, dimension (LDU, N) If ITYPE=1 or 3, this contains the orthogonal matrix in the decomposition, expressed as a dense matrix. If ITYPE=2, then it is not referenced. 
[in]  LDU  LDU is INTEGER The leading dimension of U. LDU must be at least N and at least 1. 
[in]  V  V is REAL array, dimension (LDV, N) If ITYPE=2 or 3, the columns of this array contain the Householder vectors used to describe the orthogonal 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. 
[in]  LDV  LDV is INTEGER The leading dimension of V. LDV must be at least N and at least 1. 
[in]  TAU  TAU is REAL 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(n2) If ITYPE < 2, then TAU is not referenced. 
[out]  WORK  WORK is REAL array, dimension (2*N**2) 
[out]  RESULT  RESULT is REAL 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. 
Definition at line 205 of file ssyt21.f.
subroutine ssyt22  (  integer  ITYPE, 
character  UPLO,  
integer  N,  
integer  M,  
integer  KBAND,  
real, dimension( lda, * )  A,  
integer  LDA,  
real, dimension( * )  D,  
real, dimension( * )  E,  
real, dimension( ldu, * )  U,  
integer  LDU,  
real, dimension( ldv, * )  V,  
integer  LDV,  
real, dimension( * )  TAU,  
real, dimension( * )  WORK,  
real, dimension( 2 )  RESULT  
) 
SSYT22
SSYT22 generally checks a decomposition of the form A U = U S where A is symmetric, the columns of U are orthonormal, and S is diagonal (if KBAND=0) or symmetric tridiagonal (if KBAND=1). If ITYPE=1, then U is represented as a dense matrix, otherwise the 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) =  U' A U  S  / ( A m ulp ) *andC> RESULT(2) =  I  U'U  / ( m ulp )
ITYPE INTEGER Specifies the type of tests to be performed. 1: U expressed as a dense orthogonal matrix: RESULT(1) =  A  U S U'  / ( A n ulp ) *andC> RESULT(2) =  I  UU'  / ( n ulp ) UPLO CHARACTER If UPLO='U', the upper triangle of A will be used and the (strictly) lower triangle will not be referenced. If UPLO='L', the lower triangle of A will be used and the (strictly) upper triangle will not be referenced. Not modified. N INTEGER The size of the matrix. If it is zero, SSYT22 does nothing. It must be at least zero. Not modified. M INTEGER The number of columns of U. If it is zero, SSYT22 does nothing. It must be at least zero. Not modified. KBAND 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 tridiagonal. Not modified. A REAL array, dimension (LDA , N) The original (unfactored) matrix. It is assumed to be symmetric, and only the upper (UPLO='U') or only the lower (UPLO='L') will be referenced. Not modified. LDA INTEGER The leading dimension of A. It must be at least 1 and at least N. Not modified. D REAL array, dimension (N) The diagonal of the (symmetric tri) diagonal matrix. Not modified. E REAL array, dimension (N) The offdiagonal of the (symmetric tri) diagonal matrix. E(1) is ignored, E(2) is the (1,2) and (2,1) element, etc. Not referenced if KBAND=0. Not modified. U REAL array, dimension (LDU, N) If ITYPE=1 or 3, this contains the orthogonal matrix in the decomposition, expressed as a dense matrix. If ITYPE=2, then it is not referenced. Not modified. LDU INTEGER The leading dimension of U. LDU must be at least N and at least 1. Not modified. V REAL array, dimension (LDV, N) If ITYPE=2 or 3, the lower triangle of this array contains the Householder vectors used to describe the orthogonal matrix in the decomposition. If ITYPE=1, then it is not referenced. Not modified. LDV INTEGER The leading dimension of V. LDV must be at least N and at least 1. Not modified. TAU REAL 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(n2) If ITYPE < 2, then TAU is not referenced. Not modified. WORK REAL array, dimension (2*N**2) Workspace. Modified. RESULT REAL 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 LDU is at least N. Modified.
Definition at line 155 of file ssyt22.f.