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ZHEEVR(l)			       )			     ZHEEVR(l)

NAME
       ZHEEVR  - compute selected eigenvalues and, optionally, eigenvectors of
       a complex Hermitian matrix T

SYNOPSIS
       SUBROUTINE ZHEEVR( JOBZ, RANGE, UPLO,  N,  A,  LDA,  VL,	 VU,  IL,  IU,
			  ABSTOL,  M,  W,  Z, LDZ, ISUPPZ, WORK, LWORK, RWORK,
			  LRWORK, IWORK, LIWORK, INFO )

	   CHARACTER	  JOBZ, RANGE, UPLO

	   INTEGER	  IL, INFO, IU, LDA, LDZ, LIWORK, LRWORK, LWORK, M, N

	   DOUBLE	  PRECISION ABSTOL, VL, VU

	   INTEGER	  ISUPPZ( * ), IWORK( * )

	   DOUBLE	  PRECISION RWORK( * ), W( * )

	   COMPLEX*16	  A( LDA, * ), WORK( * ), Z( LDZ, * )

PURPOSE
       ZHEEVR computes selected eigenvalues and, optionally, eigenvectors of a
       complex	Hermitian  matrix  T.  Eigenvalues  and	 eigenvectors  can  be
       selected by specifying either a range of values or a range  of  indices
       for the desired eigenvalues.

       Whenever possible, ZHEEVR calls ZSTEGR to compute the
       eigenspectrum using Relatively Robust Representations.  ZSTEGR computes
       eigenvalues by the dqds algorithm, while	 orthogonal  eigenvectors  are
       computed	 from  various	"good"	L D L^T representations (also known as
       Relatively Robust Representations). Gram-Schmidt	 orthogonalization  is
       avoided as far as possible. More specifically, the various steps of the
       algorithm are as follows. For the i-th unreduced block of T,
	  (a) Compute T - sigma_i = L_i D_i L_i^T, such that L_i D_i L_i^T
	       is a relatively robust representation,
	  (b) Compute the eigenvalues, lambda_j, of L_i D_i L_i^T to high
	      relative accuracy by the dqds algorithm,
	  (c) If there is a cluster of close eigenvalues, "choose" sigma_i
	      close to the cluster, and go to step (a),
	  (d) Given the approximate eigenvalue lambda_j of L_i D_i L_i^T,
	      compute the corresponding eigenvector by forming a
	      rank-revealing twisted factorization.
       The desired accuracy of the output can be specified by the input param‐
       eter ABSTOL.

       For  more details, see "A new O(n^2) algorithm for the symmetric tridi‐
       agonal eigenvalue/eigenvector problem", by Inderjit  Dhillon,  Computer
       Science Division Technical Report No. UCB//CSD-97-971, UC Berkeley, May
       1997.

       Note 1 : ZHEEVR calls ZSTEGR when the full  spectrum  is	 requested  on
       machines which conform to the ieee-754 floating point standard.	ZHEEVR
       calls DSTEBZ and ZSTEIN on non-ieee machines and
       when partial spectrum requests are made.

       Normal execution of ZSTEGR may create NaNs and infinities and hence may
       abort  due  to  a floating point exception in environments which do not
       handle NaNs and infinities in the ieee standard default manner.

ARGUMENTS
       JOBZ    (input) CHARACTER*1
	       = 'N':  Compute eigenvalues only;
	       = 'V':  Compute eigenvalues and eigenvectors.

       RANGE   (input) CHARACTER*1
	       = 'A': all eigenvalues will be found.
	       = 'V': all eigenvalues in the half-open interval	 (VL,VU]  will
	       be  found.   = 'I': the IL-th through IU-th eigenvalues will be
	       found.

       UPLO    (input) CHARACTER*1
	       = 'U':  Upper triangle of A is stored;
	       = 'L':  Lower triangle of A is stored.

       N       (input) INTEGER
	       The order of the matrix A.  N >= 0.

       A       (input/output) COMPLEX*16 array, dimension (LDA, N)
	       On entry, the Hermitian matrix A.  If UPLO = 'U',  the  leading
	       N-by-N upper triangular part of A contains the upper triangular
	       part of the matrix A.  If UPLO = 'L', the leading N-by-N	 lower
	       triangular  part of A contains the lower triangular part of the
	       matrix A.  On exit, the lower triangle  (if  UPLO='L')  or  the
	       upper  triangle	(if UPLO='U') of A, including the diagonal, is
	       destroyed.

       LDA     (input) INTEGER
	       The leading dimension of the array A.  LDA >= max(1,N).

       VL      (input) DOUBLE PRECISION
	       VU      (input) DOUBLE PRECISION If RANGE='V',  the  lower  and
	       upper bounds of the interval to be searched for eigenvalues. VL
	       < VU.  Not referenced if RANGE = 'A' or 'I'.

       IL      (input) INTEGER
	       IU      (input) INTEGER If RANGE='I', the indices (in ascending
	       order)  of the smallest and largest eigenvalues to be returned.
	       1 <= IL <= IU <= N, if N > 0; IL = 1 and IU = 0 if N = 0.   Not
	       referenced if RANGE = 'A' or 'V'.

       ABSTOL  (input) DOUBLE PRECISION
	       The  absolute error tolerance for the eigenvalues.  An approxi‐
	       mate eigenvalue is accepted as converged when it is  determined
	       to lie in an interval [a,b] of width less than or equal to

	       ABSTOL + EPS *	max( |a|,|b| ) ,

	       where  EPS is the machine precision.  If ABSTOL is less than or
	       equal to zero, then  EPS*|T|  will be used in its place,	 where
	       |T|  is the 1-norm of the tridiagonal matrix obtained by reduc‐
	       ing A to tridiagonal form.

	       See "Computing Small Singular  Values  of  Bidiagonal  Matrices
	       with  Guaranteed	 High Relative Accuracy," by Demmel and Kahan,
	       LAPACK Working Note #3.

	       If high relative accuracy is important, set ABSTOL  to  DLAMCH(
	       'Safe minimum' ).  Doing so will guarantee that eigenvalues are
	       computed to high relative  accuracy  when  possible  in	future
	       releases.   The current code does not make any guarantees about
	       high relative accuracy, but furutre releases will. See J.  Bar‐
	       low  and	 J. Demmel, "Computing Accurate Eigensystems of Scaled
	       Diagonally Dominant Matrices", LAPACK Working Note  #7,	for  a
	       discussion  of  which matrices define their eigenvalues to high
	       relative accuracy.

       M       (output) INTEGER
	       The total number of eigenvalues found.  0 <= M <= N.  If	 RANGE
	       = 'A', M = N, and if RANGE = 'I', M = IU-IL+1.

       W       (output) DOUBLE PRECISION array, dimension (N)
	       The  first  M  elements	contain	 the  selected	eigenvalues in
	       ascending order.

       Z       (output) COMPLEX*16 array, dimension (LDZ, max(1,M))
	       If JOBZ = 'V', then if INFO = 0, the first M columns of Z  con‐
	       tain the orthonormal eigenvectors of the matrix A corresponding
	       to the selected eigenvalues, with the i-th column of Z  holding
	       the eigenvector associated with W(i).  If JOBZ = 'N', then Z is
	       not referenced.	Note: the  user	 must  ensure  that  at	 least
	       max(1,M)	 columns  are supplied in the array Z; if RANGE = 'V',
	       the exact value of M is not known in advance and an upper bound
	       must be used.

       LDZ     (input) INTEGER
	       The  leading dimension of the array Z.  LDZ >= 1, and if JOBZ =
	       'V', LDZ >= max(1,N).

       ISUPPZ  (output) INTEGER ARRAY, dimension ( 2*max(1,M) )
	       The support of the eigenvectors in Z, i.e., the	indices	 indi‐
	       cating  the  nonzero  elements  in  Z.  The i-th eigenvector is
	       nonzero only in elements ISUPPZ( 2*i-1 ) through ISUPPZ( 2*i ).

       WORK    (workspace/output) COMPLEX*16 array, dimension (LWORK)
	       On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

       LWORK   (input) INTEGER
	       The length of the array WORK.  LWORK >= max(1,2*N).  For	 opti‐
	       mal  efficiency,	 LWORK >= (NB+1)*N, where NB is the max of the
	       blocksize for ZHETRD and for ZUNMTR as returned by ILAENV.

	       If LWORK = -1, then a workspace query is assumed;  the  routine
	       only  calculates	 the  optimal  size of the WORK array, returns
	       this value as the first entry of the WORK array, and  no	 error
	       message related to LWORK is issued by XERBLA.

       RWORK   (workspace/output) DOUBLE PRECISION array, dimension (LRWORK)
	       On  exit,  if INFO = 0, RWORK(1) returns the optimal (and mini‐
	       mal) LRWORK.

	       The length of the array RWORK.  LRWORK >= max(1,24*N).

	       If LRWORK = -1, then a workspace query is assumed; the  routine
	       only  calculates	 the  optimal size of the RWORK array, returns
	       this value as the first entry of the RWORK array, and no	 error
	       message related to LRWORK is issued by XERBLA.

       IWORK   (workspace/output) INTEGER array, dimension (LIWORK)
	       On  exit,  if INFO = 0, IWORK(1) returns the optimal (and mini‐
	       mal) LIWORK.

	       The dimension of the array IWORK.  LIWORK >= max(1,10*N).

	       If LIWORK = -1, then a workspace query is assumed; the  routine
	       only  calculates	 the  optimal size of the IWORK array, returns
	       this value as the first entry of the IWORK array, and no	 error
	       message related to LIWORK is issued by XERBLA.

       INFO    (output) INTEGER
	       = 0:  successful exit
	       < 0:  if INFO = -i, the i-th argument had an illegal value
	       > 0:  Internal error

FURTHER DETAILS
       Based on contributions by
	  Inderjit Dhillon, IBM Almaden, USA
	  Osni Marques, LBNL/NERSC, USA
	  Ken Stanley, Computer Science Division, University of
	    California at Berkeley, USA

LAPACK version 3.0		 15 June 2000			     ZHEEVR(l)
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