dstedc(3F)

DSTEDC - compute all eigenvalues and, optionally, eigenvectors of a symmetric tridiagonal matrix using the divide and conquer method

Showing IRIX 6.5.30 (default release). Unchanged since IRIX 6.5.

NAME
     DSTEDC - compute all eigenvalues and, optionally, eigenvectors of a
     symmetric tridiagonal matrix using the divide and conquer method

SYNOPSIS
     SUBROUTINE DSTEDC( COMPZ, N, D, E, Z, LDZ, WORK, LWORK, IWORK, LIWORK,
                        INFO )

         CHARACTER      COMPZ

         INTEGER        INFO, LDZ, LIWORK, LWORK, N

         INTEGER        IWORK( * )

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

PURPOSE
     DSTEDC computes all eigenvalues and, optionally, eigenvectors of a
     symmetric tridiagonal matrix using the divide and conquer method.  The
     eigenvectors of a full or band real symmetric matrix can also be found if
     DSYTRD or DSPTRD or DSBTRD has been used to reduce this matrix to
     tridiagonal form.

     This code makes very mild assumptions about floating point arithmetic. It
     will work on machines with a guard digit in add/subtract, or on those
     binary machines without guard digits which subtract like the Cray X-MP,
     Cray Y-MP, Cray C-90, or Cray-2.  It could conceivably fail on
     hexadecimal or decimal machines without guard digits, but we know of
     none.  See DLAED3 for details.


ARGUMENTS
     COMPZ   (input) CHARACTER*1
             = 'N':  Compute eigenvalues only.
             = 'I':  Compute eigenvectors of tridiagonal matrix also.
             = 'V':  Compute eigenvectors of original dense symmetric matrix
             also.  On entry, Z contains the orthogonal matrix used to reduce
             the original matrix to tridiagonal form.

     N       (input) INTEGER
             The dimension of the symmetric tridiagonal matrix.  N >= 0.

     D       (input/output) DOUBLE PRECISION array, dimension (N)
             On entry, the diagonal elements of the tridiagonal matrix.  On
             exit, if INFO = 0, the eigenvalues in ascending order.

     E       (input/output) DOUBLE PRECISION array, dimension (N-1)
             On entry, the subdiagonal elements of the tridiagonal matrix.  On
             exit, E has been destroyed.
     Z       (input/output) DOUBLE PRECISION array, dimension (LDZ,N)
             On entry, if COMPZ = 'V', then Z contains the orthogonal matrix
             used in the reduction to tridiagonal form.  On exit, if INFO = 0,
             then if COMPZ = 'V', Z contains the orthonormal eigenvectors of
             the original symmetric matrix, and if COMPZ = 'I', Z contains the
             orthonormal eigenvectors of the symmetric tridiagonal matrix.  If
             COMPZ = 'N', then Z is not referenced.

     LDZ     (input) INTEGER
             The leading dimension of the array Z.  LDZ >= 1.  If eigenvectors
             are desired, then LDZ >= max(1,N).

     WORK    (workspace/output) DOUBLE PRECISION array,
             dimension (LWORK) On exit, if LWORK > 0, WORK(1) returns the
             optimal LWORK.

     LWORK   (input) INTEGER
             The dimension of the array WORK.  If COMPZ = 'N' or N <= 1 then
             LWORK must be at least 1.  If COMPZ = 'V' and N > 1 then LWORK
             must be at least ( 1 + 3*N + 2*N*lg N + 3*N**2 ), where lg( N ) =
             smallest integer k such that 2**k >= N.  If COMPZ = 'I' and N > 1
             then LWORK must be at least ( 1 + 3*N + 2*N*lg N + 2*N**2 ).

     IWORK   (workspace/output) INTEGER array, dimension (LIWORK)
             On exit, if LIWORK > 0, IWORK(1) returns the optimal LIWORK.

     LIWORK  (input) INTEGER
             The dimension of the array IWORK.  If COMPZ = 'N' or N <= 1 then
             LIWORK must be at least 1.  If COMPZ = 'V' and N > 1 then LIWORK
             must be at least ( 6 + 6*N + 5*N*lg N ).  If COMPZ = 'I' and N >
             1 then LIWORK must be at least ( 2 + 5*N ).

     INFO    (output) INTEGER
             = 0:  successful exit.
             < 0:  if INFO = -i, the i-th argument had an illegal value.
             > 0:  The algorithm failed to compute an eigenvalue while working
             on the submatrix lying in rows and columns INFO/(N+1) through
             mod(INFO,N+1).