LAPACK
3.4.2
LAPACK: Linear Algebra PACKage

Functions/Subroutines  
subroutine  zlagge (M, N, KL, KU, D, A, LDA, ISEED, WORK, INFO) 
ZLAGGE  
subroutine  zlaghe (N, K, D, A, LDA, ISEED, WORK, INFO) 
ZLAGHE  
subroutine  zlagsy (N, K, D, A, LDA, ISEED, WORK, INFO) 
ZLAGSY  
subroutine  zlahilb (N, NRHS, A, LDA, X, LDX, B, LDB, WORK, INFO, PATH) 
ZLAHILB  
subroutine  zlakf2 (M, N, A, LDA, B, D, E, Z, LDZ) 
ZLAKF2  
subroutine  zlarge (N, A, LDA, ISEED, WORK, INFO) 
ZLARGE  
COMPLEX *16 function  zlarnd (IDIST, ISEED) 
ZLARND  
subroutine  zlaror (SIDE, INIT, M, N, A, LDA, ISEED, X, INFO) 
ZLAROR  
subroutine  zlarot (LROWS, LLEFT, LRIGHT, NL, C, S, A, LDA, XLEFT, XRIGHT) 
ZLAROT  
subroutine  zlatm1 (MODE, COND, IRSIGN, IDIST, ISEED, D, N, INFO) 
ZLATM1  
COMPLEX *16 function  zlatm2 (M, N, I, J, KL, KU, IDIST, ISEED, D, IGRADE, DL, DR, IPVTNG, IWORK, SPARSE) 
ZLATM2  
COMPLEX *16 function  zlatm3 (M, N, I, J, ISUB, JSUB, KL, KU, IDIST, ISEED, D, IGRADE, DL, DR, IPVTNG, IWORK, SPARSE) 
ZLATM3  
subroutine  zlatm5 (PRTYPE, M, N, A, LDA, B, LDB, C, LDC, D, LDD, E, LDE, F, LDF, R, LDR, L, LDL, ALPHA, QBLCKA, QBLCKB) 
ZLATM5  
subroutine  zlatm6 (TYPE, N, A, LDA, B, X, LDX, Y, LDY, ALPHA, BETA, WX, WY, S, DIF) 
ZLATM6  
subroutine  zlatme (N, DIST, ISEED, D, MODE, COND, DMAX, RSIGN, UPPER, SIM, DS, MODES, CONDS, KL, KU, ANORM, A, LDA, WORK, INFO) 
ZLATME  
subroutine  zlatmr (M, N, DIST, ISEED, SYM, D, MODE, COND, DMAX, RSIGN, GRADE, DL, MODEL, CONDL, DR, MODER, CONDR, PIVTNG, IPIVOT, KL, KU, SPARSE, ANORM, PACK, A, LDA, IWORK, INFO) 
ZLATMR  
subroutine  zlatms (M, N, DIST, ISEED, SYM, D, MODE, COND, DMAX, KL, KU, PACK, A, LDA, WORK, INFO) 
ZLATMS  
subroutine  zlatmt (M, N, DIST, ISEED, SYM, D, MODE, COND, DMAX, RANK, KL, KU, PACK, A, LDA, WORK, INFO) 
ZLATMT 
This is the group of complex16 LAPACK TESTING MATGEN routines.
subroutine zlagge  (  integer  M, 
integer  N,  
integer  KL,  
integer  KU,  
double precision, dimension( * )  D,  
complex*16, dimension( lda, * )  A,  
integer  LDA,  
integer, dimension( 4 )  ISEED,  
complex*16, dimension( * )  WORK,  
integer  INFO  
) 
ZLAGGE
ZLAGGE generates a complex general m by n matrix A, by pre and post multiplying a real diagonal matrix D with random unitary matrices: A = U*D*V. The lower and upper bandwidths may then be reduced to kl and ku by additional unitary transformations.
[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]  KL  KL is INTEGER The number of nonzero subdiagonals within the band of A. 0 <= KL <= M1. 
[in]  KU  KU is INTEGER The number of nonzero superdiagonals within the band of A. 0 <= KU <= N1. 
[in]  D  D is DOUBLE PRECISION array, dimension (min(M,N)) The diagonal elements of the diagonal matrix D. 
[out]  A  A is COMPLEX*16 array, dimension (LDA,N) The generated m by n matrix A. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= M. 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator; the array elements must be between 0 and 4095, and ISEED(4) must be odd. On exit, the seed is updated. 
[out]  WORK  WORK is COMPLEX*16 array, dimension (M+N) 
[out]  INFO  INFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value 
Definition at line 115 of file zlagge.f.
subroutine zlaghe  (  integer  N, 
integer  K,  
double precision, dimension( * )  D,  
complex*16, dimension( lda, * )  A,  
integer  LDA,  
integer, dimension( 4 )  ISEED,  
complex*16, dimension( * )  WORK,  
integer  INFO  
) 
ZLAGHE
ZLAGHE generates a complex hermitian matrix A, by pre and post multiplying a real diagonal matrix D with a random unitary matrix: A = U*D*U'. The semibandwidth may then be reduced to k by additional unitary transformations.
[in]  N  N is INTEGER The order of the matrix A. N >= 0. 
[in]  K  K is INTEGER The number of nonzero subdiagonals within the band of A. 0 <= K <= N1. 
[in]  D  D is DOUBLE PRECISION array, dimension (N) The diagonal elements of the diagonal matrix D. 
[out]  A  A is COMPLEX*16 array, dimension (LDA,N) The generated n by n hermitian matrix A (the full matrix is stored). 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= N. 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator; the array elements must be between 0 and 4095, and ISEED(4) must be odd. On exit, the seed is updated. 
[out]  WORK  WORK is COMPLEX*16 array, dimension (2*N) 
[out]  INFO  INFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value 
Definition at line 103 of file zlaghe.f.
subroutine zlagsy  (  integer  N, 
integer  K,  
double precision, dimension( * )  D,  
complex*16, dimension( lda, * )  A,  
integer  LDA,  
integer, dimension( 4 )  ISEED,  
complex*16, dimension( * )  WORK,  
integer  INFO  
) 
ZLAGSY
ZLAGSY generates a complex symmetric matrix A, by pre and post multiplying a real diagonal matrix D with a random unitary matrix: A = U*D*U**T. The semibandwidth may then be reduced to k by additional unitary transformations.
[in]  N  N is INTEGER The order of the matrix A. N >= 0. 
[in]  K  K is INTEGER The number of nonzero subdiagonals within the band of A. 0 <= K <= N1. 
[in]  D  D is DOUBLE PRECISION array, dimension (N) The diagonal elements of the diagonal matrix D. 
[out]  A  A is COMPLEX*16 array, dimension (LDA,N) The generated n by n symmetric matrix A (the full matrix is stored). 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= N. 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator; the array elements must be between 0 and 4095, and ISEED(4) must be odd. On exit, the seed is updated. 
[out]  WORK  WORK is COMPLEX*16 array, dimension (2*N) 
[out]  INFO  INFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value 
Definition at line 103 of file zlagsy.f.
subroutine zlahilb  (  integer  N, 
integer  NRHS,  
complex*16, dimension(lda,n)  A,  
integer  LDA,  
complex*16, dimension(ldx, nrhs)  X,  
integer  LDX,  
complex*16, dimension(ldb, nrhs)  B,  
integer  LDB,  
double precision, dimension(n)  WORK,  
integer  INFO,  
character*3  PATH  
) 
ZLAHILB
ZLAHILB generates an N by N scaled Hilbert matrix in A along with NRHS righthand sides in B and solutions in X such that A*X=B. The Hilbert matrix is scaled by M = LCM(1, 2, ..., 2*N1) so that all entries are integers. The righthand sides are the first NRHS columns of M * the identity matrix, and the solutions are the first NRHS columns of the inverse Hilbert matrix. The condition number of the Hilbert matrix grows exponentially with its size, roughly as O(e ** (3.5*N)). Additionally, the inverse Hilbert matrices beyond a relatively small dimension cannot be generated exactly without extra precision. Precision is exhausted when the largest entry in the inverse Hilbert matrix is greater than 2 to the power of the number of bits in the fraction of the data type used plus one, which is 24 for single precision. In single, the generated solution is exact for N <= 6 and has small componentwise error for 7 <= N <= 11.
[in]  N  N is INTEGER The dimension of the matrix A. 
[in]  NRHS  NRHS is INTEGER The requested number of righthand sides. 
[out]  A  A is COMPLEX array, dimension (LDA, N) The generated scaled Hilbert matrix. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= N. 
[out]  X  X is COMPLEX array, dimension (LDX, NRHS) The generated exact solutions. Currently, the first NRHS columns of the inverse Hilbert matrix. 
[in]  LDX  LDX is INTEGER The leading dimension of the array X. LDX >= N. 
[out]  B  B is REAL array, dimension (LDB, NRHS) The generated righthand sides. Currently, the first NRHS columns of LCM(1, 2, ..., 2*N1) * the identity matrix. 
[in]  LDB  LDB is INTEGER The leading dimension of the array B. LDB >= N. 
[out]  WORK  WORK is REAL array, dimension (N) 
[out]  INFO  INFO is INTEGER = 0: successful exit = 1: N is too large; the data is still generated but may not be not exact. < 0: if INFO = i, the ith argument had an illegal value 
[in]  PATH  PATH is CHARACTER*3 The LAPACK path name. 
Definition at line 134 of file zlahilb.f.
subroutine zlakf2  (  integer  M, 
integer  N,  
complex*16, dimension( lda, * )  A,  
integer  LDA,  
complex*16, dimension( lda, * )  B,  
complex*16, dimension( lda, * )  D,  
complex*16, dimension( lda, * )  E,  
complex*16, dimension( ldz, * )  Z,  
integer  LDZ  
) 
ZLAKF2
Form the 2*M*N by 2*M*N matrix Z = [ kron(In, A) kron(B', Im) ] [ kron(In, D) kron(E', Im) ], where In is the identity matrix of size n and X' is the transpose of X. kron(X, Y) is the Kronecker product between the matrices X and Y.
[in]  M  M is INTEGER Size of matrix, must be >= 1. 
[in]  N  N is INTEGER Size of matrix, must be >= 1. 
[in]  A  A is COMPLEX*16, dimension ( LDA, M ) The matrix A in the output matrix Z. 
[in]  LDA  LDA is INTEGER The leading dimension of A, B, D, and E. ( LDA >= M+N ) 
[in]  B  B is COMPLEX*16, dimension ( LDA, N ) 
[in]  D  D is COMPLEX*16, dimension ( LDA, M ) 
[in]  E  E is COMPLEX*16, dimension ( LDA, N ) The matrices used in forming the output matrix Z. 
[out]  Z  Z is COMPLEX*16, dimension ( LDZ, 2*M*N ) The resultant Kronecker M*N*2 by M*N*2 matrix (see above.) 
[in]  LDZ  LDZ is INTEGER The leading dimension of Z. ( LDZ >= 2*M*N ) 
Definition at line 106 of file zlakf2.f.
subroutine zlarge  (  integer  N, 
complex*16, dimension( lda, * )  A,  
integer  LDA,  
integer, dimension( 4 )  ISEED,  
complex*16, dimension( * )  WORK,  
integer  INFO  
) 
ZLARGE
ZLARGE pre and postmultiplies a complex general n by n matrix A with a random unitary matrix: A = U*D*U'.
[in]  N  N is INTEGER The order of the matrix A. N >= 0. 
[in,out]  A  A is COMPLEX*16 array, dimension (LDA,N) On entry, the original n by n matrix A. On exit, A is overwritten by U*A*U' for some random unitary matrix U. 
[in]  LDA  LDA is INTEGER The leading dimension of the array A. LDA >= N. 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator; the array elements must be between 0 and 4095, and ISEED(4) must be odd. On exit, the seed is updated. 
[out]  WORK  WORK is COMPLEX*16 array, dimension (2*N) 
[out]  INFO  INFO is INTEGER = 0: successful exit < 0: if INFO = i, the ith argument had an illegal value 
Definition at line 88 of file zlarge.f.
COMPLEX*16 function zlarnd  (  integer  IDIST, 
integer, dimension( 4 )  ISEED  
) 
ZLARND
ZLARND returns a random complex number from a uniform or normal distribution.
[in]  IDIST  IDIST is INTEGER Specifies the distribution of the random numbers: = 1: real and imaginary parts each uniform (0,1) = 2: real and imaginary parts each uniform (1,1) = 3: real and imaginary parts each normal (0,1) = 4: uniformly distributed on the disc abs(z) <= 1 = 5: uniformly distributed on the circle abs(z) = 1 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry, the seed of the random number generator; the array elements must be between 0 and 4095, and ISEED(4) must be odd. On exit, the seed is updated. 
This routine calls the auxiliary routine DLARAN to generate a random real number from a uniform (0,1) distribution. The BoxMuller method is used to transform numbers from a uniform to a normal distribution.
Definition at line 76 of file zlarnd.f.
subroutine zlaror  (  character  SIDE, 
character  INIT,  
integer  M,  
integer  N,  
complex*16, dimension( lda, * )  A,  
integer  LDA,  
integer, dimension( 4 )  ISEED,  
complex*16, dimension( * )  X,  
integer  INFO  
) 
ZLAROR
ZLAROR pre or postmultiplies an M by N matrix A by a random unitary matrix U, overwriting A. A may optionally be initialized to the identity matrix before multiplying by U. U is generated using the method of G.W. Stewart ( SIAM J. Numer. Anal. 17, 1980, pp. 403409 ). (BLAS2 version)
[in]  SIDE  SIDE is CHARACTER*1 SIDE specifies whether A is multiplied on the left or right by U. SIDE = 'L' Multiply A on the left (premultiply) by U SIDE = 'R' Multiply A on the right (postmultiply) by UC> SIDE = 'C' Multiply A on the left by U and the right by UC> SIDE = 'T' Multiply A on the left by U and the right by U' Not modified. 
[in]  INIT  INIT is CHARACTER*1 INIT specifies whether or not A should be initialized to the identity matrix. INIT = 'I' Initialize A to (a section of) the identity matrix before applying U. INIT = 'N' No initialization. Apply U to the input matrix A. INIT = 'I' may be used to generate square (i.e., unitary) or rectangular orthogonal matrices (orthogonality being in the sense of ZDOTC): For square matrices, M=N, and SIDE many be either 'L' or 'R'; the rows will be orthogonal to each other, as will the columns. For rectangular matrices where M < N, SIDE = 'R' will produce a dense matrix whose rows will be orthogonal and whose columns will not, while SIDE = 'L' will produce a matrix whose rows will be orthogonal, and whose first M columns will be orthogonal, the remaining columns being zero. For matrices where M > N, just use the previous explanation, interchanging 'L' and 'R' and "rows" and "columns". Not modified. 
[in]  M  M is INTEGER Number of rows of A. Not modified. 
[in]  N  N is INTEGER Number of columns of A. Not modified. 
[in,out]  A  A is COMPLEX*16 array, dimension ( LDA, N ) Input and output array. Overwritten by U A ( if SIDE = 'L' ) or by A U ( if SIDE = 'R' ) or by U A U* ( if SIDE = 'C') or by U A U' ( if SIDE = 'T') on exit. 
[in]  LDA  LDA is INTEGER Leading dimension of A. Must be at least MAX ( 1, M ). Not modified. 
[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 ZLAROR to continue the same random number sequence. Modified. 
[out]  X  X is COMPLEX*16 array, dimension ( 3*MAX( M, N ) ) Workspace. Of length: 2*M + N if SIDE = 'L', 2*N + M if SIDE = 'R', 3*N if SIDE = 'C' or 'T'. Modified. 
[out]  INFO  INFO is INTEGER An error flag. It is set to: 0 if no error. 1 if ZLARND returned a bad random number (installation problem) 1 if SIDE is not L, R, C, or T. 3 if M is negative. 4 if N is negative or if SIDE is C or T and N is not equal to M. 6 if LDA is less than M. 
Definition at line 159 of file zlaror.f.
subroutine zlarot  (  logical  LROWS, 
logical  LLEFT,  
logical  LRIGHT,  
integer  NL,  
complex*16  C,  
complex*16  S,  
complex*16, dimension( * )  A,  
integer  LDA,  
complex*16  XLEFT,  
complex*16  XRIGHT  
) 
ZLAROT
ZLAROT applies a (Givens) rotation to two adjacent rows or columns, where one element of the first and/or last column/row for use on matrices stored in some format other than GE, so that elements of the matrix may be used or modified for which no array element is provided. One example is a symmetric matrix in SB format (bandwidth=4), for which UPLO='L': Two adjacent rows will have the format: row j: C> C> C> C> C> . . . . row j+1: C> C> C> C> C> . . . . '*' indicates elements for which storage is provided, '.' indicates elements for which no storage is provided, but are not necessarily zero; their values are determined by symmetry. ' ' indicates elements which are necessarily zero, and have no storage provided. Those columns which have two '*'s can be handled by DROT. Those columns which have no '*'s can be ignored, since as long as the Givens rotations are carefully applied to preserve symmetry, their values are determined. Those columns which have one '*' have to be handled separately, by using separate variables "p" and "q": row j: C> C> C> C> C> p . . . row j+1: q C> C> C> C> C> . . . . The element p would have to be set correctly, then that column is rotated, setting p to its new value. The next call to ZLAROT would rotate columns j and j+1, using p, and restore symmetry. The element q would start out being zero, and be made nonzero by the rotation. Later, rotations would presumably be chosen to zero q out. Typical Calling Sequences: rotating the ith and (i+1)st rows.    General dense matrix: CALL ZLAROT(.TRUE.,.FALSE.,.FALSE., N, C,S, A(i,1),LDA, DUMMY, DUMMY) General banded matrix in GB format: j = MAX(1, iKL ) NL = MIN( N, i+KU+1 ) + 1j CALL ZLAROT( .TRUE., iKL.GE.1, i+KU.LT.N, NL, C,S, A(KU+i+1j,j),LDA1, XLEFT, XRIGHT ) [ note that i+1j is just MIN(i,KL+1) ] Symmetric banded matrix in SY format, bandwidth K, lower triangle only: j = MAX(1, iK ) NL = MIN( K+1, i ) + 1 CALL ZLAROT( .TRUE., iK.GE.1, .TRUE., NL, C,S, A(i,j), LDA, XLEFT, XRIGHT ) Same, but upper triangle only: NL = MIN( K+1, Ni ) + 1 CALL ZLAROT( .TRUE., .TRUE., i+K.LT.N, NL, C,S, A(i,i), LDA, XLEFT, XRIGHT ) Symmetric banded matrix in SB format, bandwidth K, lower triangle only: [ same as for SY, except:] . . . . A(i+1j,j), LDA1, XLEFT, XRIGHT ) [ note that i+1j is just MIN(i,K+1) ] Same, but upper triangle only: . . . A(K+1,i), LDA1, XLEFT, XRIGHT ) Rotating columns is just the transpose of rotating rows, except for GB and SB: (rotating columns i and i+1) GB: j = MAX(1, iKU ) NL = MIN( N, i+KL+1 ) + 1j CALL ZLAROT( .TRUE., iKU.GE.1, i+KL.LT.N, NL, C,S, A(KU+j+1i,i),LDA1, XTOP, XBOTTM ) [note that KU+j+1i is just MAX(1,KU+2i)] SB: (upper triangle) . . . . . . A(K+j+1i,i),LDA1, XTOP, XBOTTM ) SB: (lower triangle) . . . . . . A(1,i),LDA1, XTOP, XBOTTM )
LROWS  LOGICAL If .TRUE., then ZLAROT will rotate two rows. If .FALSE., then it will rotate two columns. Not modified. LLEFT  LOGICAL If .TRUE., then XLEFT will be used instead of the corresponding element of A for the first element in the second row (if LROWS=.FALSE.) or column (if LROWS=.TRUE.) If .FALSE., then the corresponding element of A will be used. Not modified. LRIGHT  LOGICAL If .TRUE., then XRIGHT will be used instead of the corresponding element of A for the last element in the first row (if LROWS=.FALSE.) or column (if LROWS=.TRUE.) If .FALSE., then the corresponding element of A will be used. Not modified. NL  INTEGER The length of the rows (if LROWS=.TRUE.) or columns (if LROWS=.FALSE.) to be rotated. If XLEFT and/or XRIGHT are used, the columns/rows they are in should be included in NL, e.g., if LLEFT = LRIGHT = .TRUE., then NL must be at least 2. The number of rows/columns to be rotated exclusive of those involving XLEFT and/or XRIGHT may not be negative, i.e., NL minus how many of LLEFT and LRIGHT are .TRUE. must be at least zero; if not, XERBLA will be called. Not modified. C, S  COMPLEX*16 Specify the Givens rotation to be applied. If LROWS is true, then the matrix ( c s ) ( _ _ ) (s c ) is applied from the left; if false, then the transpose (not conjugated) thereof is applied from the right. Note that in contrast to the output of ZROTG or to most versions of ZROT, both C and S are complex. For a Givens rotation, C**2 + S**2 should be 1, but this is not checked. Not modified. A  COMPLEX*16 array. The array containing the rows/columns to be rotated. The first element of A should be the upper left element to be rotated. Read and modified. LDA  INTEGER The "effective" leading dimension of A. If A contains a matrix stored in GE, HE, or SY format, then this is just the leading dimension of A as dimensioned in the calling routine. If A contains a matrix stored in band (GB, HB, or SB) format, then this should be *one less* than the leading dimension used in the calling routine. Thus, if A were dimensioned A(LDA,*) in ZLAROT, then A(1,j) would be the jth element in the first of the two rows to be rotated, and A(2,j) would be the jth in the second, regardless of how the array may be stored in the calling routine. [A cannot, however, actually be dimensioned thus, since for band format, the row number may exceed LDA, which is not legal FORTRAN.] If LROWS=.TRUE., then LDA must be at least 1, otherwise it must be at least NL minus the number of .TRUE. values in XLEFT and XRIGHT. Not modified. XLEFT  COMPLEX*16 If LLEFT is .TRUE., then XLEFT will be used and modified instead of A(2,1) (if LROWS=.TRUE.) or A(1,2) (if LROWS=.FALSE.). Read and modified. XRIGHT  COMPLEX*16 If LRIGHT is .TRUE., then XRIGHT will be used and modified instead of A(1,NL) (if LROWS=.TRUE.) or A(NL,1) (if LROWS=.FALSE.). Read and modified.
Definition at line 229 of file zlarot.f.
subroutine zlatm1  (  integer  MODE, 
double precision  COND,  
integer  IRSIGN,  
integer  IDIST,  
integer, dimension( 4 )  ISEED,  
complex*16, dimension( * )  D,  
integer  N,  
integer  INFO  
) 
ZLATM1
ZLATM1 computes the entries of D(1..N) as specified by MODE, COND and IRSIGN. IDIST and ISEED determine the generation of random numbers. ZLATM1 is called by CLATMR to generate random test matrices for LAPACK programs.
[in]  MODE  MODE is INTEGER On entry describes how D is to be computed: MODE = 0 means do not change D. MODE = 1 sets D(1)=1 and D(2:N)=1.0/COND MODE = 2 sets D(1:N1)=1 and D(N)=1.0/COND MODE = 3 sets D(I)=COND**((I1)/(N1)) MODE = 4 sets D(i)=1  (i1)/(N1)*(1  1/COND) MODE = 5 sets D to random numbers in the range ( 1/COND , 1 ) such that their logarithms are uniformly distributed. MODE = 6 set D to random numbers from same distribution as the rest of the matrix. MODE < 0 has the same meaning as ABS(MODE), except that the order of the elements of D is reversed. Thus if MODE is positive, D has entries ranging from 1 to 1/COND, if negative, from 1/COND to 1, Not modified. 
[in]  COND  COND is DOUBLE PRECISION On entry, used as described under MODE above. If used, it must be >= 1. Not modified. 
[in]  IRSIGN  IRSIGN is INTEGER On entry, if MODE neither 6, 0 nor 6, determines sign of entries of D 0 => leave entries of D unchanged 1 => multiply each entry of D by random complex number uniformly distributed with absolute value 1 
[in]  IDIST  IDIST is CHARACTER*1 On entry, IDIST specifies the type of distribution to be used to generate a random matrix . 1 => real and imaginary parts each UNIFORM( 0, 1 ) 2 => real and imaginary parts each UNIFORM( 1, 1 ) 3 => real and imaginary parts each NORMAL( 0, 1 ) 4 => complex number uniform in DISK( 0, 1 ) Not modified. 
[in,out]  ISEED  ISEED is INTEGER array, dimension ( 4 ) On entry ISEED specifies the seed of the random number generator. 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 ZLATM1 to continue the same random number sequence. Changed on exit. 
[in,out]  D  D is COMPLEX*16 array, dimension ( MIN( M , N ) ) Array to be computed according to MODE, COND and IRSIGN. May be changed on exit if MODE is nonzero. 
[in]  N  N is INTEGER Number of entries of D. Not modified. 
[out]  INFO  INFO is INTEGER 0 => normal termination 1 => if MODE not in range 6 to 6 2 => if MODE neither 6, 0 nor 6, and IRSIGN neither 0 nor 1 3 => if MODE neither 6, 0 nor 6 and COND less than 1 4 => if MODE equals 6 or 6 and IDIST not in range 1 to 4 7 => if N negative 
Definition at line 138 of file zlatm1.f.
COMPLEX*16 function zlatm2  (  integer  M, 
integer  N,  
integer  I,  
integer  J,  
integer  KL,  
integer  KU,  
integer  IDIST,  
integer, dimension( 4 )  ISEED,  
complex*16, dimension( * )  D,  
integer  IGRADE,  
complex*16, dimension( * )  DL,  
complex*16, dimension( * )  DR,  
integer  IPVTNG,  
integer, dimension( * )  IWORK,  
double precision  SPARSE  
) 
ZLATM2
ZLATM2 returns the (I,J) entry of a random matrix of dimension (M, N) described by the other paramters. It is called by the ZLATMR routine in order to build random test matrices. No error checking on parameters is done, because this routine is called in a tight loop by ZLATMR which has already checked the parameters. Use of ZLATM2 differs from CLATM3 in the order in which the random number generator is called to fill in random matrix entries. With ZLATM2, the generator is called to fill in the pivoted matrix columnwise. With ZLATM3, the generator is called to fill in the matrix columnwise, after which it is pivoted. Thus, ZLATM3 can be used to construct random matrices which differ only in their order of rows and/or columns. ZLATM2 is used to construct band matrices while avoiding calling the random number generator for entries outside the band (and therefore generating random numbers The matrix whose (I,J) entry is returned is constructed as follows (this routine only computes one entry): If I is outside (1..M) or J is outside (1..N), return zero (this is convenient for generating matrices in band format). Generate a matrix A with random entries of distribution IDIST. Set the diagonal to D. Grade the matrix, if desired, from the left (by DL) and/or from the right (by DR or DL) as specified by IGRADE. Permute, if desired, the rows and/or columns as specified by IPVTNG and IWORK. Band the matrix to have lower bandwidth KL and upper bandwidth KU. Set random entries to zero as specified by SPARSE.
[in]  M  M is INTEGER Number of rows of matrix. Not modified. 
[in]  N  N is INTEGER Number of columns of matrix. Not modified. 
[in]  I  I is INTEGER Row of entry to be returned. Not modified. 
[in]  J  J is INTEGER Column of entry to be returned. Not modified. 
[in]  KL  KL is INTEGER Lower bandwidth. Not modified. 
[in]  KU  KU is INTEGER Upper bandwidth. Not modified. 
[in]  IDIST  IDIST is INTEGER On entry, IDIST specifies the type of distribution to be used to generate a random matrix . 1 => real and imaginary parts each UNIFORM( 0, 1 ) 2 => real and imaginary parts each UNIFORM( 1, 1 ) 3 => real and imaginary parts each NORMAL( 0, 1 ) 4 => complex number uniform in DISK( 0 , 1 ) Not modified. 
[in,out]  ISEED  ISEED is INTEGER array of dimension ( 4 ) Seed for random number generator. Changed on exit. 
[in]  D  D is COMPLEX*16 array of dimension ( MIN( I , J ) ) Diagonal entries of matrix. Not modified. 
[in]  IGRADE  IGRADE is INTEGER Specifies grading of matrix as follows: 0 => no grading 1 => matrix premultiplied by diag( DL ) 2 => matrix postmultiplied by diag( DR ) 3 => matrix premultiplied by diag( DL ) and postmultiplied by diag( DR ) 4 => matrix premultiplied by diag( DL ) and postmultiplied by inv( diag( DL ) ) 5 => matrix premultiplied by diag( DL ) and postmultiplied by diag( CONJG(DL) ) 6 => matrix premultiplied by diag( DL ) and postmultiplied by diag( DL ) Not modified. 
[in]  DL  DL is COMPLEX*16 array ( I or J, as appropriate ) Left scale factors for grading matrix. Not modified. 
[in]  DR  DR is COMPLEX*16 array ( I or J, as appropriate ) Right scale factors for grading matrix. Not modified. 
[in]  IPVTNG  IPVTNG is INTEGER On entry specifies pivoting permutations as follows: 0 => none. 1 => row pivoting. 2 => column pivoting. 3 => full pivoting, i.e., on both sides. Not modified. 
[out]  IWORK  IWORK is INTEGER array ( I or J, as appropriate ) This array specifies the permutation used. The row (or column) in position K was originally in position IWORK( K ). This differs from IWORK for ZLATM3. Not modified. 
[in]  SPARSE  SPARSE is DOUBLE PRECISION between 0. and 1. On entry specifies the sparsity of the matrix if sparse matix is to be generated. SPARSE should lie between 0 and 1. A uniform ( 0, 1 ) random number x is generated and compared to SPARSE; if x is larger the matrix entry is unchanged and if x is smaller the entry is set to zero. Thus on the average a fraction SPARSE of the entries will be set to zero. Not modified. 
Definition at line 211 of file zlatm2.f.
COMPLEX*16 function zlatm3  (  integer  M, 
integer  N,  
integer  I,  
integer  J,  
integer  ISUB,  
integer  JSUB,  
integer  KL,  
integer  KU,  
integer  IDIST,  
integer, dimension( 4 )  ISEED,  
complex*16, dimension( * )  D,  
integer  IGRADE,  
complex*16, dimension( * )  DL,  
complex*16, dimension( * )  DR,  
integer  IPVTNG,  
integer, dimension( * )  IWORK,  
double precision  SPARSE  
) 
ZLATM3
ZLATM3 returns the (ISUB,JSUB) entry of a random matrix of dimension (M, N) described by the other paramters. (ISUB,JSUB) is the final position of the (I,J) entry after pivoting according to IPVTNG and IWORK. ZLATM3 is called by the ZLATMR routine in order to build random test matrices. No error checking on parameters is done, because this routine is called in a tight loop by ZLATMR which has already checked the parameters. Use of ZLATM3 differs from CLATM2 in the order in which the random number generator is called to fill in random matrix entries. With ZLATM2, the generator is called to fill in the pivoted matrix columnwise. With ZLATM3, the generator is called to fill in the matrix columnwise, after which it is pivoted. Thus, ZLATM3 can be used to construct random matrices which differ only in their order of rows and/or columns. ZLATM2 is used to construct band matrices while avoiding calling the random number generator for entries outside the band (and therefore generating random numbers in different orders for different pivot orders). The matrix whose (ISUB,JSUB) entry is returned is constructed as follows (this routine only computes one entry): If ISUB is outside (1..M) or JSUB is outside (1..N), return zero (this is convenient for generating matrices in band format). Generate a matrix A with random entries of distribution IDIST. Set the diagonal to D. Grade the matrix, if desired, from the left (by DL) and/or from the right (by DR or DL) as specified by IGRADE. Permute, if desired, the rows and/or columns as specified by IPVTNG and IWORK. Band the matrix to have lower bandwidth KL and upper bandwidth KU. Set random entries to zero as specified by SPARSE.
[in]  M  M is INTEGER Number of rows of matrix. Not modified. 
[in]  N  N is INTEGER Number of columns of matrix. Not modified. 
[in]  I  I is INTEGER Row of unpivoted entry to be returned. Not modified. 
[in]  J  J is INTEGER Column of unpivoted entry to be returned. Not modified. 
[in,out]  ISUB  ISUB is INTEGER Row of pivoted entry to be returned. Changed on exit. 
[in,out]  JSUB  JSUB is INTEGER Column of pivoted entry to be returned. Changed on exit. 
[in]  KL  KL is INTEGER Lower bandwidth. Not modified. 
[in]  KU  KU is INTEGER Upper bandwidth. Not modified. 
[in]  IDIST  IDIST is INTEGER On entry, IDIST specifies the type of distribution to be used to generate a random matrix . 1 => real and imaginary parts each UNIFORM( 0, 1 ) 2 => real and imaginary parts each UNIFORM( 1, 1 ) 3 => real and imaginary parts each NORMAL( 0, 1 ) 4 => complex number uniform in DISK( 0 , 1 ) Not modified. 
[in,out]  ISEED  ISEED is INTEGER array of dimension ( 4 ) Seed for random number generator. Changed on exit. 
[in]  D  D is COMPLEX*16 array of dimension ( MIN( I , J ) ) Diagonal entries of matrix. Not modified. 
[in]  IGRADE  IGRADE is INTEGER Specifies grading of matrix as follows: 0 => no grading 1 => matrix premultiplied by diag( DL ) 2 => matrix postmultiplied by diag( DR ) 3 => matrix premultiplied by diag( DL ) and postmultiplied by diag( DR ) 4 => matrix premultiplied by diag( DL ) and postmultiplied by inv( diag( DL ) ) 5 => matrix premultiplied by diag( DL ) and postmultiplied by diag( CONJG(DL) ) 6 => matrix premultiplied by diag( DL ) and postmultiplied by diag( DL ) Not modified. 
[in]  DL  DL is COMPLEX*16 array ( I or J, as appropriate ) Left scale factors for grading matrix. Not modified. 
[in]  DR  DR is COMPLEX*16 array ( I or J, as appropriate ) Right scale factors for grading matrix. Not modified. 
[in]  IPVTNG  IPVTNG is INTEGER On entry specifies pivoting permutations as follows: 0 => none. 1 => row pivoting. 2 => column pivoting. 3 => full pivoting, i.e., on both sides. Not modified. 
[in]  IWORK  IWORK is INTEGER array ( I or J, as appropriate ) This array specifies the permutation used. The row (or column) originally in position K is in position IWORK( K ) after pivoting. This differs from IWORK for ZLATM2. Not modified. 
[in]  SPARSE  SPARSE is DOUBLE PRECISION between 0. and 1. On entry specifies the sparsity of the matrix if sparse matix is to be generated. SPARSE should lie between 0 and 1. A uniform ( 0, 1 ) random number x is generated and compared to SPARSE; if x is larger the matrix entry is unchanged and if x is smaller the entry is set to zero. Thus on the average a fraction SPARSE of the entries will be set to zero. Not modified. 
Definition at line 228 of file zlatm3.f.
subroutine zlatm5  (  integer  PRTYPE, 
integer  M,  
integer  N,  
complex*16, dimension( lda, * )  A,  
integer  LDA,  
complex*16, dimension( ldb, * )  B,  
integer  LDB,  
complex*16, dimension( ldc, * )  C,  
integer  LDC,  
complex*16, dimension( ldd, * )  D,  
integer  LDD,  
complex*16, dimension( lde, * )  E,  
integer  LDE,  
complex*16, dimension( ldf, * )  F,  
integer  LDF,  
complex*16, dimension( ldr, * )  R,  
integer  LDR,  
complex*16, dimension( ldl, * )  L,  
integer  LDL,  
double precision  ALPHA,  
integer  QBLCKA,  
integer  QBLCKB  
) 
ZLATM5
ZLATM5 generates matrices involved in the Generalized Sylvester equation: A * R  L * B = C D * R  L * E = F They also satisfy (the diagonalization condition) [ I L ] ( [ A C ], [ D F ] ) [ I R ] = ( [ A ], [ D ] ) [ I ] ( [ B ] [ E ] ) [ I ] ( [ B ] [ E ] )
[in]  PRTYPE  PRTYPE is INTEGER "Points" to a certian type of the matrices to generate (see futher details). 
[in]  M  M is INTEGER Specifies the order of A and D and the number of rows in C, F, R and L. 
[in]  N  N is INTEGER Specifies the order of B and E and the number of columns in C, F, R and L. 
[out]  A  A is COMPLEX*16 array, dimension (LDA, M). On exit A MbyM is initialized according to PRTYPE. 
[in]  LDA  LDA is INTEGER The leading dimension of A. 
[out]  B  B is COMPLEX*16 array, dimension (LDB, N). On exit B NbyN is initialized according to PRTYPE. 
[in]  LDB  LDB is INTEGER The leading dimension of B. 
[out]  C  C is COMPLEX*16 array, dimension (LDC, N). On exit C MbyN is initialized according to PRTYPE. 
[in]  LDC  LDC is INTEGER The leading dimension of C. 
[out]  D  D is COMPLEX*16 array, dimension (LDD, M). On exit D MbyM is initialized according to PRTYPE. 
[in]  LDD  LDD is INTEGER The leading dimension of D. 
[out]  E  E is COMPLEX*16 array, dimension (LDE, N). On exit E NbyN is initialized according to PRTYPE. 
[in]  LDE  LDE is INTEGER The leading dimension of E. 
[out]  F  F is COMPLEX*16 array, dimension (LDF, N). On exit F MbyN is initialized according to PRTYPE. 
[in]  LDF  LDF is INTEGER The leading dimension of F. 
[out]  R  R is COMPLEX*16 array, dimension (LDR, N). On exit R MbyN is initialized according to PRTYPE. 
[in]  LDR  LDR is INTEGER The leading dimension of R. 
[out]  L  L is COMPLEX*16 array, dimension (LDL, N). On exit L MbyN is initialized according to PRTYPE. 
[in]  LDL  LDL is INTEGER The leading dimension of L. 
[in]  ALPHA  ALPHA is DOUBLE PRECISION Parameter used in generating PRTYPE = 1 and 5 matrices. 
[in]  QBLCKA  QBLCKA is INTEGER When PRTYPE = 3, specifies the distance between 2by2 blocks on the diagonal in A. Otherwise, QBLCKA is not referenced. QBLCKA > 1. 
[in]  QBLCKB  QBLCKB is INTEGER When PRTYPE = 3, specifies the distance between 2by2 blocks on the diagonal in B. Otherwise, QBLCKB is not referenced. QBLCKB > 1. 
PRTYPE = 1: A and B are Jordan blocks, D and E are identity matrices A : if (i == j) then A(i, j) = 1.0 if (j == i + 1) then A(i, j) = 1.0 else A(i, j) = 0.0, i, j = 1...M B : if (i == j) then B(i, j) = 1.0  ALPHA if (j == i + 1) then B(i, j) = 1.0 else B(i, j) = 0.0, i, j = 1...N D : if (i == j) then D(i, j) = 1.0 else D(i, j) = 0.0, i, j = 1...M E : if (i == j) then E(i, j) = 1.0 else E(i, j) = 0.0, i, j = 1...N L = R are chosen from [10...10], which specifies the right hand sides (C, F). PRTYPE = 2 or 3: Triangular and/or quasi triangular. A : if (i <= j) then A(i, j) = [1...1] else A(i, j) = 0.0, i, j = 1...M if (PRTYPE = 3) then A(k + 1, k + 1) = A(k, k) A(k + 1, k) = [1...1] sign(A(k, k + 1) = (sin(A(k + 1, k)) k = 1, M  1, QBLCKA B : if (i <= j) then B(i, j) = [1...1] else B(i, j) = 0.0, i, j = 1...N if (PRTYPE = 3) then B(k + 1, k + 1) = B(k, k) B(k + 1, k) = [1...1] sign(B(k, k + 1) = (sign(B(k + 1, k)) k = 1, N  1, QBLCKB D : if (i <= j) then D(i, j) = [1...1]. else D(i, j) = 0.0, i, j = 1...M E : if (i <= j) then D(i, j) = [1...1] else E(i, j) = 0.0, i, j = 1...N L, R are chosen from [10...10], which specifies the right hand sides (C, F). PRTYPE = 4 Full A(i, j) = [10...10] D(i, j) = [1...1] i,j = 1...M B(i, j) = [10...10] E(i, j) = [1...1] i,j = 1...N R(i, j) = [10...10] L(i, j) = [1...1] i = 1..M ,j = 1...N L, R specifies the right hand sides (C, F). PRTYPE = 5 special case common and/or close eigs.
Definition at line 267 of file zlatm5.f.
subroutine zlatm6  (  integer  TYPE, 
integer  N,  
complex*16, dimension( lda, * )  A,  
integer  LDA,  
complex*16, dimension( lda, * )  B,  
complex*16, dimension( ldx, * )  X,  
integer  LDX,  
complex*16, dimension( ldy, * )  Y,  
integer  LDY,  
complex*16  ALPHA,  
complex*16  BETA,  
complex*16  WX,  
complex*16  WY,  
double precision, dimension( * )  S,  
double precision, dimension( * )  DIF  
) 
ZLATM6
ZLATM6 generates test matrices for the generalized eigenvalue problem, their corresponding right and left eigenvector matrices, and also reciprocal condition numbers for all eigenvalues and the reciprocal condition numbers of eigenvectors corresponding to the 1th and 5th eigenvalues. Test Matrices ============= Two kinds of test matrix pairs (A, B) = inverse(YH) * (Da, Db) * inverse(X) are used in the tests: Type 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 Type 2: Da = 1+i 0 0 0 0 Db = 1 0 0 0 0 0 1i 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)i 0 0 0 0 1 0 0 0 0 0 (1+a)(1+b)i, 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.
[in]  TYPE  TYPE is INTEGER Specifies the problem type (see futher details). 
[in]  N  N is INTEGER Size of the matrices A and B. 
[out]  A  A is COMPLEX*16 array, dimension (LDA, N). On exit A NbyN is initialized according to TYPE. 
[in]  LDA  LDA is INTEGER The leading dimension of A and of B. 
[out]  B  B is COMPLEX*16 array, dimension (LDA, N). On exit B NbyN is initialized according to TYPE. 
[out]  X  X is COMPLEX*16 array, dimension (LDX, N). On exit X is the NbyN matrix of right eigenvectors. 
[in]  LDX  LDX is INTEGER The leading dimension of X. 
[out]  Y  Y is COMPLEX*16 array, dimension (LDY, N). On exit Y is the NbyN matrix of left eigenvectors. 
[in]  LDY  LDY is INTEGER The leading dimension of Y. 
[in]  ALPHA  ALPHA is COMPLEX*16 
[in]  BETA  BETA is COMPLEX*16 \verbatim Weighting constants for matrix A. 
[in]  WX  WX is COMPLEX*16 Constant for right eigenvector matrix. 
[in]  WY  WY is COMPLEX*16 Constant for left eigenvector matrix. 
[out]  S  S is DOUBLE PRECISION array, dimension (N) S(i) is the reciprocal condition number for eigenvalue i. 
[out]  DIF  DIF is DOUBLE PRECISION array, dimension (N) DIF(i) is the reciprocal condition number for eigenvector i. 
Definition at line 174 of file zlatm6.f.
subroutine zlatme  (  integer  N, 
character  DIST,  
integer, dimension( 4 )  ISEED,  
complex*16, dimension( * )  D,  
integer  MODE,  
double precision  COND,  
complex*16  DMAX,  
character  RSIGN,  
character  UPPER,  
character  SIM,  
double precision, dimension( * )  DS,  
integer  MODES,  
double precision  CONDS,  
integer  KL,  
integer  KU,  
double precision  ANORM,  
complex*16, dimension( lda, * )  A,  
integer  LDA,  
complex*16, dimension( * )  WORK,  
integer  INFO  
) 
ZLATME
ZLATME generates random nonsymmetric square matrices with specified eigenvalues for testing LAPACK programs. ZLATME operates by applying the following sequence of operations: 1. Set the diagonal to D, where D may be input or computed according to MODE, COND, DMAX, and RSIGN as described below. 2. If UPPER='T', the upper triangle of A is set to random values out of distribution DIST. 3. If SIM='T', A is multiplied on the left by a random matrix X, whose singular values are specified by DS, MODES, and CONDS, and on the right by X inverse. 4. If KL < N1, the lower bandwidth is reduced to KL using Householder transformations. If KU < N1, the upper bandwidth is reduced to KU. 5. If ANORM is not negative, the matrix is scaled to have maximumelementnorm ANORM. (Note: since the matrix cannot be reduced beyond Hessenberg form, no packing options are available.)
[in]  N  N is INTEGER The number of columns (or rows) of A. Not modified. 
[in]  DIST  DIST is CHARACTER*1 On entry, DIST specifies the type of distribution to be used to generate the random eigen/singular values, and on the upper triangle (see UPPER). 'U' => UNIFORM( 0, 1 ) ( 'U' for uniform ) 'S' => UNIFORM( 1, 1 ) ( 'S' for symmetric ) 'N' => NORMAL( 0, 1 ) ( 'N' for normal ) 'D' => uniform on the complex disc z < 1. Not modified. 
[in,out]  ISEED  ISEED is INTEGER array, dimension ( 4 ) On entry ISEED specifies the seed of the random number generator. They should lie between 0 and 4095 inclusive, and ISEED(4) should 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 ZLATME to continue the same random number sequence. Changed on exit. 
[in,out]  D  D is COMPLEX*16 array, dimension ( N ) This array is used to specify the eigenvalues of A. If MODE=0, then D is assumed to contain the eigenvalues otherwise they will be computed according to MODE, COND, DMAX, and RSIGN and placed in D. Modified if MODE is nonzero. 
[in]  MODE  MODE is INTEGER On entry this describes how the eigenvalues are to be specified: MODE = 0 means use D as input MODE = 1 sets D(1)=1 and D(2:N)=1.0/COND MODE = 2 sets D(1:N1)=1 and D(N)=1.0/COND MODE = 3 sets D(I)=COND**((I1)/(N1)) MODE = 4 sets D(i)=1  (i1)/(N1)*(1  1/COND) MODE = 5 sets D to random numbers in the range ( 1/COND , 1 ) such that their logarithms are uniformly distributed. MODE = 6 set D to random numbers from same distribution as the rest of the matrix. MODE < 0 has the same meaning as ABS(MODE), except that the order of the elements of D is reversed. Thus if MODE is between 1 and 4, D has entries ranging from 1 to 1/COND, if between 1 and 4, D has entries ranging from 1/COND to 1, Not modified. 
[in]  COND  COND is DOUBLE PRECISION On entry, this is used as described under MODE above. If used, it must be >= 1. Not modified. 
[in]  DMAX  DMAX is COMPLEX*16 If MODE is neither 6, 0 nor 6, the contents of D, as computed according to MODE and COND, will be scaled by DMAX / max(abs(D(i))). Note that DMAX need not be positive or real: if DMAX is negative or complex (or zero), D will be scaled by a negative or complex number (or zero). If RSIGN='F' then the largest (absolute) eigenvalue will be equal to DMAX. Not modified. 
[in]  RSIGN  RSIGN is CHARACTER*1 If MODE is not 0, 6, or 6, and RSIGN='T', then the elements of D, as computed according to MODE and COND, will be multiplied by a random complex number from the unit circle z = 1. If RSIGN='F', they will not be. RSIGN may only have the values 'T' or 'F'. Not modified. 
[in]  UPPER  UPPER is CHARACTER*1 If UPPER='T', then the elements of A above the diagonal will be set to random numbers out of DIST. If UPPER='F', they will not. UPPER may only have the values 'T' or 'F'. Not modified. 
[in]  SIM  SIM is CHARACTER*1 If SIM='T', then A will be operated on by a "similarity transform", i.e., multiplied on the left by a matrix X and on the right by X inverse. X = U S V, where U and V are random unitary matrices and S is a (diagonal) matrix of singular values specified by DS, MODES, and CONDS. If SIM='F', then A will not be transformed. Not modified. 
[in,out]  DS  DS is DOUBLE PRECISION array, dimension ( N ) This array is used to specify the singular values of X, in the same way that D specifies the eigenvalues of A. If MODE=0, the DS contains the singular values, which may not be zero. Modified if MODE is nonzero. 
[in]  MODES  MODES is INTEGER 
[in]  CONDS  CONDS is DOUBLE PRECISION Similar to MODE and COND, but for specifying the diagonal of S. MODES=6 and +6 are not allowed (since they would result in randomly illconditioned eigenvalues.) 
[in]  KL  KL is INTEGER This specifies the lower bandwidth of the matrix. KL=1 specifies upper Hessenberg form. If KL is at least N1, then A will have full lower bandwidth. Not modified. 
[in]  KU  KU is INTEGER This specifies the upper bandwidth of the matrix. KU=1 specifies lower Hessenberg form. If KU is at least N1, then A will have full upper bandwidth; if KU and KL are both at least N1, then A will be dense. Only one of KU and KL may be less than N1. Not modified. 
[in]  ANORM  ANORM is DOUBLE PRECISION If ANORM is not negative, then A will be scaled by a non negative real number to make the maximumelementnorm of A to be ANORM. Not modified. 
[out]  A  A is COMPLEX*16 array, dimension ( LDA, N ) On exit A is the desired test matrix. Modified. 
[in]  LDA  LDA is INTEGER LDA specifies the first dimension of A as declared in the calling program. LDA must be at least M. Not modified. 
[out]  WORK  WORK is COMPLEX*16 array, dimension ( 3*N ) Workspace. Modified. 
[out]  INFO  INFO is INTEGER Error code. On exit, INFO will be set to one of the following values: 0 => normal return 1 => N negative 2 => DIST illegal string 5 => MODE not in range 6 to 6 6 => COND less than 1.0, and MODE neither 6, 0 nor 6 9 => RSIGN is not 'T' or 'F' 10 => UPPER is not 'T' or 'F' 11 => SIM is not 'T' or 'F' 12 => MODES=0 and DS has a zero singular value. 13 => MODES is not in the range 5 to 5. 14 => MODES is nonzero and CONDS is less than 1. 15 => KL is less than 1. 16 => KU is less than 1, or KL and KU are both less than N1. 19 => LDA is less than M. 1 => Error return from ZLATM1 (computing D) 2 => Cannot scale to DMAX (max. eigenvalue is 0) 3 => Error return from DLATM1 (computing DS) 4 => Error return from ZLARGE 5 => Zero singular value from DLATM1. 
Definition at line 298 of file zlatme.f.
subroutine zlatmr  (  integer  M, 
integer  N,  
character  DIST,  
integer, dimension( 4 )  ISEED,  
character  SYM,  
complex*16, dimension( * )  D,  
integer  MODE,  
double precision  COND,  
complex*16  DMAX,  
character  RSIGN,  
character  GRADE,  
complex*16, dimension( * )  DL,  
integer  MODEL,  
double precision  CONDL,  
complex*16, dimension( * )  DR,  
integer  MODER,  
double precision  CONDR,  
character  PIVTNG,  
integer, dimension( * )  IPIVOT,  
integer  KL,  
integer  KU,  
double precision  SPARSE,  
double precision  ANORM,  
character  PACK,  
complex*16, dimension( lda, * )  A,  
integer  LDA,  
integer, dimension( * )  IWORK,  
integer  INFO  
) 
ZLATMR
ZLATMR generates random matrices of various types for testing LAPACK programs. ZLATMR operates by applying the following sequence of operations: Generate a matrix A with random entries of distribution DIST which is symmetric if SYM='S', Hermitian if SYM='H', and nonsymmetric if SYM='N'. Set the diagonal to D, where D may be input or computed according to MODE, COND, DMAX and RSIGN as described below. Grade the matrix, if desired, from the left and/or right as specified by GRADE. The inputs DL, MODEL, CONDL, DR, MODER and CONDR also determine the grading as described below. Permute, if desired, the rows and/or columns as specified by PIVTNG and IPIVOT. Set random entries to zero, if desired, to get a random sparse matrix as specified by SPARSE. Make A a band matrix, if desired, by zeroing out the matrix outside a band of lower bandwidth KL and upper bandwidth KU. Scale A, if desired, to have maximum entry ANORM. Pack the matrix if desired. Options specified by PACK are: no packing zero out upper half (if symmetric or Hermitian) zero out lower half (if symmetric or Hermitian) store the upper half columnwise (if symmetric or Hermitian or square upper triangular) store the lower half columnwise (if symmetric or Hermitian or square lower triangular) same as upper half rowwise if symmetric same as conjugate upper half rowwise if Hermitian store the lower triangle in banded format (if symmetric or Hermitian) store the upper triangle in banded format (if symmetric or Hermitian) store the entire matrix in banded format Note: If two calls to ZLATMR differ only in the PACK parameter, they will generate mathematically equivalent matrices. If two calls to ZLATMR both have full bandwidth (KL = M1 and KU = N1), and differ only in the PIVTNG and PACK parameters, then the matrices generated will differ only in the order of the rows and/or columns, and otherwise contain the same data. This consistency cannot be and is not maintained with less than full bandwidth.
[in]  M  M is INTEGER Number of rows of A. Not modified. 
[in]  N  N is INTEGER Number of columns of A. Not modified. 
[in]  DIST  DIST is CHARACTER*1 On entry, DIST specifies the type of distribution to be used to generate a random matrix . 'U' => real and imaginary parts are independent UNIFORM( 0, 1 ) ( 'U' for uniform ) 'S' => real and imaginary parts are independent UNIFORM( 1, 1 ) ( 'S' for symmetric ) 'N' => real and imaginary parts are independent NORMAL( 0, 1 ) ( 'N' for normal ) 'D' => uniform on interior of unit disk ( 'D' for disk ) Not modified. 
[in,out]  ISEED  ISEED is INTEGER array, dimension (4) On entry ISEED specifies the seed of the random number generator. They should lie between 0 and 4095 inclusive, and ISEED(4) should 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 ZLATMR to continue the same random number sequence. Changed on exit. 
[in]  SYM  SYM is CHARACTER*1 If SYM='S', generated matrix is symmetric. If SYM='H', generated matrix is Hermitian. If SYM='N', generated matrix is nonsymmetric. Not modified. 
[in,out]  D  D is COMPLEX*16 array, dimension (min(M,N)) On entry this array specifies the diagonal entries of the diagonal of A. D may either be specified on entry, or set according to MODE and COND as described below. If the matrix is Hermitian, the real part of D will be taken. May be changed on exit if MODE is nonzero. 
[in]  MODE  MODE is INTEGER On entry describes how D is to be used: MODE = 0 means use D as input MODE = 1 sets D(1)=1 and D(2:N)=1.0/COND MODE = 2 sets D(1:N1)=1 and D(N)=1.0/COND MODE = 3 sets D(I)=COND**((I1)/(N1)) MODE = 4 sets D(i)=1  (i1)/(N1)*(1  1/COND) MODE = 5 sets D to random numbers in the range ( 1/COND , 1 ) such that their logarithms are uniformly distributed. MODE = 6 set D to random numbers from same distribution as the rest of the matrix. MODE < 0 has the same meaning as ABS(MODE), except that the order of the elements of D is reversed. Thus if MODE is positive, D has entries ranging from 1 to 1/COND, if negative, from 1/COND to 1, Not modified. 
[in]  COND  COND is DOUBLE PRECISION On entry, used as described under MODE above. If used, it must be >= 1. Not modified. 
[in]  DMAX  DMAX is COMPLEX*16 If MODE neither 6, 0 nor 6, the diagonal is scaled by DMAX / max(abs(D(i))), so that maximum absolute entry of diagonal is abs(DMAX). If DMAX is complex (or zero), diagonal will be scaled by a complex number (or zero). 
[in]  RSIGN  RSIGN is CHARACTER*1 If MODE neither 6, 0 nor 6, specifies sign of diagonal as follows: 'T' => diagonal entries are multiplied by a random complex number uniformly distributed with absolute value 1 'F' => diagonal unchanged Not modified. 
[in]  GRADE  GRADE is CHARACTER*1 Specifies grading of matrix as follows: 'N' => no grading 'L' => matrix premultiplied by diag( DL ) (only if matrix nonsymmetric) 'R' => matrix postmultiplied by diag( DR ) (only if matrix nonsymmetric) 'B' => matrix premultiplied by diag( DL ) and postmultiplied by diag( DR ) (only if matrix nonsymmetric) 'H' => matrix premultiplied by diag( DL ) and postmultiplied by diag( CONJG(DL) ) (only if matrix Hermitian or nonsymmetric) 'S' => matrix premultiplied by diag( DL ) and postmultiplied by diag( DL ) (only if matrix symmetric or nonsymmetric) 'E' => matrix premultiplied by diag( DL ) and postmultiplied by inv( diag( DL ) ) ( 'S' for similarity ) (only if matrix nonsymmetric) Note: if GRADE='S', then M must equal N. Not modified. 
[in,out]  DL  DL is COMPLEX*16 array, dimension (M) If MODEL=0, then on entry this array specifies the diagonal entries of a diagonal matrix used as described under GRADE above. If MODEL is not zero, then DL will be set according to MODEL and CONDL, analogous to the way D is set according to MODE and COND (except there is no DMAX parameter for DL). If GRADE='E', then DL cannot have zero entries. Not referenced if GRADE = 'N' or 'R'. Changed on exit. 
[in]  MODEL  MODEL is INTEGER This specifies how the diagonal array DL is to be computed, just as MODE specifies how D is to be computed. Not modified. 
[in]  CONDL  CONDL is DOUBLE PRECISION When MODEL is not zero, this specifies the condition number of the computed DL. Not modified. 
[in,out]  DR  DR is COMPLEX*16 array, dimension (N) If MODER=0, then on entry this array specifies the diagonal entries of a diagonal matrix used as described under GRADE above. If MODER is not zero, then DR will be set according to MODER and CONDR, analogous to the way D is set according to MODE and COND (except there is no DMAX parameter for DR). Not referenced if GRADE = 'N', 'L', 'H' or 'S'. Changed on exit. 
[in]  MODER  MODER is INTEGER This specifies how the diagonal array DR is to be computed, just as MODE specifies how D is to be computed. Not modified. 
[in]  CONDR  CONDR is DOUBLE PRECISION When MODER is not zero, this specifies the condition number of the computed DR. Not modified. 
[in]  PIVTNG  PIVTNG is CHARACTER*1 On entry specifies pivoting permutations as follows: 'N' or ' ' => none. 'L' => left or row pivoting (matrix must be nonsymmetric). 'R' => right or column pivoting (matrix must be nonsymmetric). 'B' or 'F' => both or full pivoting, i.e., on both sides. In this case, M must equal N If two calls to ZLATMR both have full bandwidth (KL = M1 and KU = N1), and differ only in the PIVTNG and PACK parameters, then the matrices generated will differ only in the order of the rows and/or columns, and otherwise contain the same data. This consistency cannot be maintained with less than full bandwidth. 
[in]  IPIVOT  IPIVOT is INTEGER array, dimension (N or M) This array specifies the permutation used. After the basic matrix is generated, the rows, columns, or both are permuted. If, say, row pivoting is selected, ZLATMR starts with the *last* row and interchanges the Mth and IPIVOT(M)th rows, then moves to the nexttolast row, interchanging the (M1)th and the IPIVOT(M1)th rows, and so on. In terms of "2cycles", the permutation is (1 IPIVOT(1)) (2 IPIVOT(2)) ... (M IPIVOT(M)) where the rightmost cycle is applied first. This is the *inverse* of the effect of pivoting in LINPACK. The idea is that factoring (with pivoting) an identity matrix which has been inversepivoted in this way should result in a pivot vector identical to IPIVOT. Not referenced if PIVTNG = 'N'. Not modified. 
[in]  SPARSE  SPARSE is DOUBLE PRECISION On entry specifies the sparsity of the matrix if a sparse matrix is to be generated. SPARSE should lie between 0 and 1. To generate a sparse matrix, for each matrix entry a uniform ( 0, 1 ) random number x is generated and compared to SPARSE; if x is larger the matrix entry is unchanged and if x is smaller the entry is set to zero. Thus on the average a fraction SPARSE of the entries will be set to zero. Not modified. 
[in]  KL  KL is INTEGER On entry specifies the lower bandwidth of the matrix. For example, KL=0 implies upper triangular, KL=1 implies upper Hessenberg, and KL at least M1 implies the matrix is not banded. Must equal KU if matrix is symmetric or Hermitian. Not modified. 
[in]  KU  KU is INTEGER On entry specifies the upper bandwidth of the matrix. For example, KU=0 implies lower triangular, KU=1 implies lower Hessenberg, and KU at least N1 implies the matrix is not banded. Must equal KL if matrix is symmetric or Hermitian. Not modified. 
[in]  ANORM  ANORM is DOUBLE PRECISION On entry specifies maximum entry of output matrix (output matrix will by multiplied by a constant so that its largest absolute entry equal ANORM) if ANORM is nonnegative. If ANORM is negative no scaling is done. Not modified. 
[in]  PACK  PACK is CHARACTER*1 On entry specifies packing of matrix as follows: 'N' => no packing 'U' => zero out all subdiagonal entries (if symmetric or Hermitian) 'L' => zero out all superdiagonal entries (if symmetric or Hermitian) 'C' => store the upper triangle columnwise (only if matrix symmetric or Hermitian or square upper triangular) 'R' => store the lower triangle columnwise (only if matrix symmetric or Hermitian or square lower triangular) (same as upper half rowwise if symmetric) (same as conjugate upper half rowwise if Hermitian) 'B' => store the lower triangle in band storage scheme (only if matrix symmetric or Hermitian) 'Q' => store the upper triangle in band storage scheme (only if matrix symmetric or Hermitian) 'Z' => store the entire matrix in band storage scheme (pivoting can be provided for by using this option to store A in the trailing rows of the allocated storage) Using these options, the various LAPACK packed and banded storage schemes can be obtained: GB  use 'Z' PB, HB or TB  use 'B' or 'Q' PP, HP or TP  use 'C' or 'R' If two calls to ZLATMR differ only in the PACK parameter, they will generate mathematically equivalent matrices. Not modified. 
[in,out]  A  A is COMPLEX*16 array, dimension (LDA,N) On exit A is the desired test matrix. Only those entries of A which are significant on output will be referenced (even if A is in packed or band storage format). The 'unoccupied corners' of A in band format will be zeroed out. 
[in]  LDA  LDA is INTEGER on entry LDA specifies the first dimension of A as declared in the calling program. If PACK='N', 'U' or 'L', LDA must be at least max ( 1, M ). If PACK='C' or 'R', LDA must be at least 1. If PACK='B', or 'Q', LDA must be MIN ( KU+1, N ) If PACK='Z', LDA must be at least KUU+KLL+1, where KUU = MIN ( KU, N1 ) and KLL = MIN ( KL, N1 ) Not modified. 
[out]  IWORK  IWORK is INTEGER array, dimension (N or M) Workspace. Not referenced if PIVTNG = 'N'. Changed on exit. 
[out]  INFO  INFO is INTEGER Error parameter on exit: 0 => normal return 1 => M negative or unequal to N and SYM='S' or 'H' 2 => N negative 3 => DIST illegal string 5 => SYM illegal string 7 => MODE not in range 6 to 6 8 => COND less than 1.0, and MODE neither 6, 0 nor 6 10 => MODE neither 6, 0 nor 6 and RSIGN illegal string 11 => GRADE illegal string, or GRADE='E' and M not equal to N, or GRADE='L', 'R', 'B', 'S' or 'E' and SYM = 'H', or GRADE='L', 'R', 'B', 'H' or 'E' and SYM = 'S' 12 => GRADE = 'E' and DL contains zero 13 => MODEL not in range 6 to 6 and GRADE= 'L', 'B', 'H', 'S' or 'E' 14 => CONDL less than 1.0, GRADE='L', 'B', 'H', 'S' or 'E', and MODEL neither 6, 0 nor 6 16 => MODER not in range 6 to 6 and GRADE= 'R' or 'B' 17 => CONDR less than 1.0, GRADE='R' or 'B', and MODER neither 6, 0 nor 6 18 => PIVTNG illegal string, or PIVTNG='B' or 'F' and M not equal to N, or PIVTNG='L' or 'R' and SYM='S' or 'H' 19 => IPIVOT contains out of range number and PIVTNG not equal to 'N' 20 => KL negative 21 => KU negative, or SYM='S' or 'H' and KU not equal to KL 22 => SPARSE not in range 0. to 1. 24 => PACK illegal string, or PACK='U', 'L', 'B' or 'Q' and SYM='N', or PACK='C' and SYM='N' and either KL not equal to 0 or N not equal to M, or PACK='R' and SYM='N', and either KU not equal to 0 or N not equal to M 26 => LDA too small 1 => Error return from ZLATM1 (computing D) 2 => Cannot scale diagonal to DMAX (max. entry is 0) 3 => Error return from ZLATM1 (computing DL) 4 => Error return from ZLATM1 (computing DR) 5 => ANORM is positive, but matrix constructed prior to attempting to scale it to have norm ANORM, is zero 
Definition at line 488 of file zlatmr.f.
subroutine zlatms  (  integer  M, 
integer  N,  
character  DIST,  
integer, dimension( 4 )  ISEED,  
character  SYM,  
double precision, dimension( * )  D,  
integer  MODE,  
double precision  COND,  
double precision  DMAX,  
integer  KL,  
integer  KU,  
character  PACK,  
complex*16, dimension( lda, * )  A,  
integer  LDA,  
complex*16, dimension( * )  WORK,  
integer  INFO  
) 
ZLATMS
ZLATMS generates random matrices with specified singular values (or hermitian with specified eigenvalues) for testing LAPACK programs. ZLATMS operates by applying the following sequence of operations: Set the diagonal to D, where D may be input or computed according to MODE, COND, DMAX, and SYM as described below. Generate a matrix with the appropriate band structure, by one of two methods: Method A: Generate a dense M x N matrix by multiplying D on the left and the right by random unitary matrices, then: Reduce the bandwidth according to KL and KU, using Householder transformations. Method B: Convert the bandwidth0 (i.e., diagonal) matrix to a bandwidth1 matrix using Givens rotations, "chasing" outofband elements back, much as in QR; then convert the bandwidth1 to a bandwidth2 matrix, etc. Note that for reasonably small bandwidths (relative to M and N) this requires less storage, as a dense matrix is not generated. Also, for hermitian or symmetric matrices, only one triangle is generated. Method A is chosen if the bandwidth is a large fraction of the order of the matrix, and LDA is at least M (so a dense matrix can be stored.) Method B is chosen if the bandwidth is small (< 1/2 N for hermitian or symmetric, < .3 N+M for nonsymmetric), or LDA is less than M and not less than the bandwidth. Pack the matrix if desired. Options specified by PACK are: no packing zero out upper half (if hermitian) zero out lower half (if hermitian) store the upper half columnwise (if hermitian or upper triangular) store the lower half columnwise (if hermitian or lower triangular) store the lower triangle in banded format (if hermitian or lower triangular) store the upper triangle in banded format (if hermitian or upper triangular) store the entire matrix in banded format If Method B is chosen, and band format is specified, then the matrix will be generated in the band format, so no repacking will be necessary.
[in]  M  M is INTEGER The number of rows of A. Not modified. 
[in]  N  N is INTEGER The number of columns of A. N must equal M if the matrix is symmetric or hermitian (i.e., if SYM is not 'N') Not modified. 
[in]  DIST  DIST is CHARACTER*1 On entry, DIST specifies the type of distribution to be used to generate the random eigen/singular values. 'U' => UNIFORM( 0, 1 ) ( 'U' for uniform ) 'S' => UNIFORM( 1, 1 ) ( 'S' for symmetric ) 'N' => NORMAL( 0, 1 ) ( 'N' for normal ) Not modified. 
[in,out]  ISEED  ISEED is INTEGER array, dimension ( 4 ) On entry ISEED specifies the seed of the random number generator. They should lie between 0 and 4095 inclusive, and ISEED(4) should 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 ZLATMS to continue the same random number sequence. Changed on exit. 
[in]  SYM  SYM is CHARACTER*1 If SYM='H', the generated matrix is hermitian, with eigenvalues specified by D, COND, MODE, and DMAX; they may be positive, negative, or zero. If SYM='P', the generated matrix is hermitian, with eigenvalues (= singular values) specified by D, COND, MODE, and DMAX; they will not be negative. If SYM='N', the generated matrix is nonsymmetric, with singular values specified by D, COND, MODE, and DMAX; they will not be negative. If SYM='S', the generated matrix is (complex) symmetric, with singular values specified by D, COND, MODE, and DMAX; they will not be negative. Not modified. 
[in,out]  D  D is DOUBLE PRECISION array, dimension ( MIN( M, N ) ) This array is used to specify the singular values or eigenvalues of A (see SYM, above.) If MODE=0, then D is assumed to contain the singular/eigenvalues, otherwise they will be computed according to MODE, COND, and DMAX, and placed in D. Modified if MODE is nonzero. 
[in]  MODE  MODE is INTEGER On entry this describes how the singular/eigenvalues are to be specified: MODE = 0 means use D as input MODE = 1 sets D(1)=1 and D(2:N)=1.0/COND MODE = 2 sets D(1:N1)=1 and D(N)=1.0/COND MODE = 3 sets D(I)=COND**((I1)/(N1)) MODE = 4 sets D(i)=1  (i1)/(N1)*(1  1/COND) MODE = 5 sets D to random numbers in the range ( 1/COND , 1 ) such that their logarithms are uniformly distributed. MODE = 6 set D to random numbers from same distribution as the rest of the matrix. MODE < 0 has the same meaning as ABS(MODE), except that the order of the elements of D is reversed. Thus if MODE is positive, D has entries ranging from 1 to 1/COND, if negative, from 1/COND to 1, If SYM='H', and MODE is neither 0, 6, nor 6, then the elements of D will also be multiplied by a random sign (i.e., +1 or 1.) Not modified. 
[in]  COND  COND is DOUBLE PRECISION On entry, this is used as described under MODE above. If used, it must be >= 1. Not modified. 
[in]  DMAX  DMAX is DOUBLE PRECISION If MODE is neither 6, 0 nor 6, the contents of D, as computed according to MODE and COND, will be scaled by DMAX / max(abs(D(i))); thus, the maximum absolute eigen or singular value (which is to say the norm) will be abs(DMAX). Note that DMAX need not be positive: if DMAX is negative (or zero), D will be scaled by a negative number (or zero). Not modified. 
[in]  KL  KL is INTEGER This specifies the lower bandwidth of the matrix. For example, KL=0 implies upper triangular, KL=1 implies upper Hessenberg, and KL being at least M1 means that the matrix has full lower bandwidth. KL must equal KU if the matrix is symmetric or hermitian. Not modified. 
[in]  KU  KU is INTEGER This specifies the upper bandwidth of the matrix. For example, KU=0 implies lower triangular, KU=1 implies lower Hessenberg, and KU being at least N1 means that the matrix has full upper bandwidth. KL must equal KU if the matrix is symmetric or hermitian. Not modified. 
[in]  PACK  PACK is CHARACTER*1 This specifies packing of matrix as follows: 'N' => no packing 'U' => zero out all subdiagonal entries (if symmetric or hermitian) 'L' => zero out all superdiagonal entries (if symmetric or hermitian) 'C' => store the upper triangle columnwise (only if the matrix is symmetric, hermitian, or upper triangular) 'R' => store the lower triangle columnwise (only if the matrix is symmetric, hermitian, or lower triangular) 'B' => store the lower triangle in band storage scheme (only if the matrix is symmetric, hermitian, or lower triangular) 'Q' => store the upper triangle in band storage scheme (only if the matrix is symmetric, hermitian, or upper triangular) 'Z' => store the entire matrix in band storage scheme (pivoting can be provided for by using this option to store A in the trailing rows of the allocated storage) Using these options, the various LAPACK packed and banded storage schemes can be obtained: GB  use 'Z' PB, SB, HB, or TB  use 'B' or 'Q' PP, SP, HB, or TP  use 'C' or 'R' If two calls to ZLATMS differ only in the PACK parameter, they will generate mathematically equivalent matrices. Not modified. 
[in,out]  A  A is COMPLEX*16 array, dimension ( LDA, N ) On exit A is the desired test matrix. A is first generated in full (unpacked) form, and then packed, if so specified by PACK. Thus, the first M elements of the first N columns will always be modified. If PACK specifies a packed or banded storage scheme, all LDA elements of the first N columns will be modified; the elements of the array which do not correspond to elements of the generated matrix are set to zero. Modified. 
[in]  LDA  LDA is INTEGER LDA specifies the first dimension of A as declared in the calling program. If PACK='N', 'U', 'L', 'C', or 'R', then LDA must be at least M. If PACK='B' or 'Q', then LDA must be at least MIN( KL, M1) (which is equal to MIN(KU,N1)). If PACK='Z', LDA must be large enough to hold the packed array: MIN( KU, N1) + MIN( KL, M1) + 1. Not modified. 
[out]  WORK  WORK is COMPLEX*16 array, dimension ( 3*MAX( N, M ) ) Workspace. Modified. 
[out]  INFO  INFO is INTEGER Error code. On exit, INFO will be set to one of the following values: 0 => normal return 1 => M negative or unequal to N and SYM='S', 'H', or 'P' 2 => N negative 3 => DIST illegal string 5 => SYM illegal string 7 => MODE not in range 6 to 6 8 => COND less than 1.0, and MODE neither 6, 0 nor 6 10 => KL negative 11 => KU negative, or SYM is not 'N' and KU is not equal to KL 12 => PACK illegal string, or PACK='U' or 'L', and SYM='N'; or PACK='C' or 'Q' and SYM='N' and KL is not zero; or PACK='R' or 'B' and SYM='N' and KU is not zero; or PACK='U', 'L', 'C', 'R', 'B', or 'Q', and M is not N. 14 => LDA is less than M, or PACK='Z' and LDA is less than MIN(KU,N1) + MIN(KL,M1) + 1. 1 => Error return from DLATM1 2 => Cannot scale to DMAX (max. sing. value is 0) 3 => Error return from ZLAGGE, CLAGHE or CLAGSY 
Definition at line 332 of file zlatms.f.
subroutine zlatmt  (  integer  M, 
integer  N,  
character  DIST,  
integer, dimension( 4 )  ISEED,  
character  SYM,  
double precision, dimension( * )  D,  
integer  MODE,  
double precision  COND,  
double precision  DMAX,  
integer  RANK,  
integer  KL,  
integer  KU,  
character  PACK,  
complex*16, dimension( lda, * )  A,  
integer  LDA,  
complex*16, dimension( * )  WORK,  
integer  INFO  
) 
ZLATMT
ZLATMT generates random matrices with specified singular values (or hermitian with specified eigenvalues) for testing LAPACK programs. ZLATMT operates by applying the following sequence of operations: Set the diagonal to D, where D may be input or computed according to MODE, COND, DMAX, and SYM as described below. Generate a matrix with the appropriate band structure, by one of two methods: Method A: Generate a dense M x N matrix by multiplying D on the left and the right by random unitary matrices, then: Reduce the bandwidth according to KL and KU, using Householder transformations. Method B: Convert the bandwidth0 (i.e., diagonal) matrix to a bandwidth1 matrix using Givens rotations, "chasing" outofband elements back, much as in QR; then convert the bandwidth1 to a bandwidth2 matrix, etc. Note that for reasonably small bandwidths (relative to M and N) this requires less storage, as a dense matrix is not generated. Also, for hermitian or symmetric matrices, only one triangle is generated. Method A is chosen if the bandwidth is a large fraction of the order of the matrix, and LDA is at least M (so a dense matrix can be stored.) Method B is chosen if the bandwidth is small (< 1/2 N for hermitian or symmetric, < .3 N+M for nonsymmetric), or LDA is less than M and not less than the bandwidth. Pack the matrix if desired. Options specified by PACK are: no packing zero out upper half (if hermitian) zero out lower half (if hermitian) store the upper half columnwise (if hermitian or upper triangular) store the lower half columnwise (if hermitian or lower triangular) store the lower triangle in banded format (if hermitian or lower triangular) store the upper triangle in banded format (if hermitian or upper triangular) store the entire matrix in banded format If Method B is chosen, and band format is specified, then the matrix will be generated in the band format, so no repacking will be necessary.
[in]  M  M is INTEGER The number of rows of A. Not modified. 
[in]  N  N is INTEGER The number of columns of A. N must equal M if the matrix is symmetric or hermitian (i.e., if SYM is not 'N') Not modified. 
[in]  DIST  DIST is CHARACTER*1 On entry, DIST specifies the type of distribution to be used to generate the random eigen/singular values. 'U' => UNIFORM( 0, 1 ) ( 'U' for uniform ) 'S' => UNIFORM( 1, 1 ) ( 'S' for symmetric ) 'N' => NORMAL( 0, 1 ) ( 'N' for normal ) Not modified. 
[in,out]  ISEED  ISEED is INTEGER array, dimension ( 4 ) On entry ISEED specifies the seed of the random number generator. They should lie between 0 and 4095 inclusive, and ISEED(4) should 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 ZLATMT to continue the same random number sequence. Changed on exit. 
[in]  SYM  SYM is CHARACTER*1 If SYM='H', the generated matrix is hermitian, with eigenvalues specified by D, COND, MODE, and DMAX; they may be positive, negative, or zero. If SYM='P', the generated matrix is hermitian, with eigenvalues (= singular values) specified by D, COND, MODE, and DMAX; they will not be negative. If SYM='N', the generated matrix is nonsymmetric, with singular values specified by D, COND, MODE, and DMAX; they will not be negative. If SYM='S', the generated matrix is (complex) symmetric, with singular values specified by D, COND, MODE, and DMAX; they will not be negative. Not modified. 
[in,out]  D  D is DOUBLE PRECISION array, dimension ( MIN( M, N ) ) This array is used to specify the singular values or eigenvalues of A (see SYM, above.) If MODE=0, then D is assumed to contain the singular/eigenvalues, otherwise they will be computed according to MODE, COND, and DMAX, and placed in D. Modified if MODE is nonzero. 
[in]  MODE  MODE is INTEGER On entry this describes how the singular/eigenvalues are to be specified: MODE = 0 means use D as input MODE = 1 sets D(1)=1 and D(2:RANK)=1.0/COND MODE = 2 sets D(1:RANK1)=1 and D(RANK)=1.0/COND MODE = 3 sets D(I)=COND**((I1)/(RANK1)) MODE = 4 sets D(i)=1  (i1)/(N1)*(1  1/COND) MODE = 5 sets D to random numbers in the range ( 1/COND , 1 ) such that their logarithms are uniformly distributed. MODE = 6 set D to random numbers from same distribution as the rest of the matrix. MODE < 0 has the same meaning as ABS(MODE), except that the order of the elements of D is reversed. Thus if MODE is positive, D has entries ranging from 1 to 1/COND, if negative, from 1/COND to 1, If SYM='H', and MODE is neither 0, 6, nor 6, then the elements of D will also be multiplied by a random sign (i.e., +1 or 1.) Not modified. 
[in]  COND  COND is DOUBLE PRECISION On entry, this is used as described under MODE above. If used, it must be >= 1. Not modified. 
[in]  DMAX  DMAX is DOUBLE PRECISION If MODE is neither 6, 0 nor 6, the contents of D, as computed according to MODE and COND, will be scaled by DMAX / max(abs(D(i))); thus, the maximum absolute eigen or singular value (which is to say the norm) will be abs(DMAX). Note that DMAX need not be positive: if DMAX is negative (or zero), D will be scaled by a negative number (or zero). Not modified. 
[in]  RANK  RANK is INTEGER The rank of matrix to be generated for modes 1,2,3 only. D( RANK+1:N ) = 0. Not modified. 
[in]  KL  KL is INTEGER This specifies the lower bandwidth of the matrix. For example, KL=0 implies upper triangular, KL=1 implies upper Hessenberg, and KL being at least M1 means that the matrix has full lower bandwidth. KL must equal KU if the matrix is symmetric or hermitian. Not modified. 
[in]  KU  KU is INTEGER This specifies the upper bandwidth of the matrix. For example, KU=0 implies lower triangular, KU=1 implies lower Hessenberg, and KU being at least N1 means that the matrix has full upper bandwidth. KL must equal KU if the matrix is symmetric or hermitian. Not modified. 
[in]  PACK  PACK is CHARACTER*1 This specifies packing of matrix as follows: 'N' => no packing 'U' => zero out all subdiagonal entries (if symmetric or hermitian) 'L' => zero out all superdiagonal entries (if symmetric or hermitian) 'C' => store the upper triangle columnwise (only if the matrix is symmetric, hermitian, or upper triangular) 'R' => store the lower triangle columnwise (only if the matrix is symmetric, hermitian, or lower triangular) 'B' => store the lower triangle in band storage scheme (only if the matrix is symmetric, hermitian, or lower triangular) 'Q' => store the upper triangle in band storage scheme (only if the matrix is symmetric, hermitian, or upper triangular) 'Z' => store the entire matrix in band storage scheme (pivoting can be provided for by using this option to store A in the trailing rows of the allocated storage) Using these options, the various LAPACK packed and banded storage schemes can be obtained: GB  use 'Z' PB, SB, HB, or TB  use 'B' or 'Q' PP, SP, HB, or TP  use 'C' or 'R' If two calls to ZLATMT differ only in the PACK parameter, they will generate mathematically equivalent matrices. Not modified. 
[in,out]  A  A is COMPLEX*16 array, dimension ( LDA, N ) On exit A is the desired test matrix. A is first generated in full (unpacked) form, and then packed, if so specified by PACK. Thus, the first M elements of the first N columns will always be modified. If PACK specifies a packed or banded storage scheme, all LDA elements of the first N columns will be modified; the elements of the array which do not correspond to elements of the generated matrix are set to zero. Modified. 
[in]  LDA  LDA is INTEGER LDA specifies the first dimension of A as declared in the calling program. If PACK='N', 'U', 'L', 'C', or 'R', then LDA must be at least M. If PACK='B' or 'Q', then LDA must be at least MIN( KL, M1) (which is equal to MIN(KU,N1)). If PACK='Z', LDA must be large enough to hold the packed array: MIN( KU, N1) + MIN( KL, M1) + 1. Not modified. 
[out]  WORK  WORK is COMPLEX*16 array, dimension ( 3*MAX( N, M ) ) Workspace. Modified. 
[out]  INFO  INFO is INTEGER Error code. On exit, INFO will be set to one of the following values: 0 => normal return 1 => M negative or unequal to N and SYM='S', 'H', or 'P' 2 => N negative 3 => DIST illegal string 5 => SYM illegal string 7 => MODE not in range 6 to 6 8 => COND less than 1.0, and MODE neither 6, 0 nor 6 10 => KL negative 11 => KU negative, or SYM is not 'N' and KU is not equal to KL 12 => PACK illegal string, or PACK='U' or 'L', and SYM='N'; or PACK='C' or 'Q' and SYM='N' and KL is not zero; or PACK='R' or 'B' and SYM='N' and KU is not zero; or PACK='U', 'L', 'C', 'R', 'B', or 'Q', and M is not N. 14 => LDA is less than M, or PACK='Z' and LDA is less than MIN(KU,N1) + MIN(KL,M1) + 1. 1 => Error return from DLATM7 2 => Cannot scale to DMAX (max. sing. value is 0) 3 => Error return from ZLAGGE, ZLAGHE or ZLAGSY 
Definition at line 340 of file zlatmt.f.