Previous: dstev Up: ../lapack-d.html Next: dsycon


dstevx


 NAME
      DSTEVX - compute selected eigenvalues and, optionally,
      eigenvectors of a real symmetric tridiagonal matrix A

 SYNOPSIS
      SUBROUTINE DSTEVX( JOBZ, RANGE, N, D, E, VL, VU, IL, IU,
                         ABSTOL, M, W, Z, LDZ, WORK, IWORK, IFAIL,
                         INFO )

          CHARACTER      JOBZ, RANGE

          INTEGER        IL, INFO, IU, LDZ, M, N

          DOUBLE         PRECISION ABSTOL, VL, VU

          INTEGER        IFAIL( * ), IWORK( * )

          DOUBLE         PRECISION D( * ), E( * ), W( * ), WORK( *
                         ), Z( LDZ, * )

 PURPOSE
      DSTEVX computes selected eigenvalues and, optionally, eigen-
      vectors of a real symmetric tridiagonal matrix A.
      Eigenvalues/vectors can be selected by specifying either a
      range of values or a range of indices for the desired eigen-
      values.

 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.

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

      D       (input/output) DOUBLE PRECISION array, dimension (N)
              On entry, the n diagonal elements of the tridiagonal
              matrix A.  On exit, D may be multiplied by a con-
              stant factor chosen to avoid over/underflow in com-
              puting the eigenvalues.

      E       (input/output) DOUBLE PRECISION array, dimension (N)
              On entry, the (n-1) subdiagonal elements of the tri-
              diagonal matrix A in elements 1 to N-1 of E; E(N)
              need not be set.  On exit, E may be multiplied by a

              constant factor chosen to avoid over/underflow in
              computing the eigenvalues.

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

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

      IL      (input) INTEGER
              If RANGE='I', the index (from smallest to largest)
              of the smallest eigenvalue to be returned.  IL >= 1.
              Not referenced if RANGE = 'A' or 'V'.

      IU      (input) INTEGER
              If RANGE='I', the index (from smallest to largest)
              of the largest eigenvalue to be returned.  IL <= IU
              <= N.  Not referenced if RANGE = 'A' or 'V'.

      ABSTOL  (input) DOUBLE PRECISION
              The absolute error tolerance for the eigenvalues.
              An approximate 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.

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

      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)
              On normal exit, the first M entries contain the
              selected eigenvalues in ascending order.

 )
      Z       (output) DOUBLE PRECISION array, dimension (LDZ, max(1,M)
              If JOBZ = 'V', then if INFO = 0, the first M columns

              of Z contain 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 an eigenvector fails to
              converge (INFO > 0), then that column of Z contains
              the latest approximation to the eigenvector, and the
              index of the eigenvector is returned in IFAIL.  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).

      WORK    (workspace) DOUBLE PRECISION array, dimension (5*N)

      IWORK   (workspace) INTEGER array, dimension (5*N)

      IFAIL   (output) INTEGER array, dimension (N)
              If JOBZ = 'V', then if INFO = 0, the first M ele-
              ments of IFAIL are zero.  If INFO > 0, then IFAIL
              contains the indices of the eigenvectors that failed
              to converge.  If JOBZ = 'N', then IFAIL is not
              referenced.

      INFO    (output) INTEGER
              = 0:  successful exit
              < 0:  if INFO = -i, the i-th argument had an illegal
              value
              > 0:  if INFO = i, then i eigenvectors failed to
              converge.  Their indices are stored in array IFAIL.