NAME

dlaed0 - compute all eigenvalues and corresponding eigenvectors of a symmetric tridiagonal matrix using the divide and conquer method

SYNOPSIS

SUBROUTINE DLAED0(
ICOMPQ, QSIZ, N, D, E, Q, LDQ, QSTORE, LDQS, WORK, IWORK, INFO )

void dlaed0(long int icompq, long int qsiz, long int n, double
∗d, double ∗e, double ∗q, long int ldq, double ∗qstore, long int ldqs, long int ∗info)

INTEGER ICOMPQ, INFO, LDQ, LDQS, N, QSIZ

INTEGER IWORK( ∗ )

DOUBLE PRECISION D( ∗ ), E( ∗ ), Q( LDQ, ∗ ), QSTORE( LDQS, ∗ ), WORK( ∗ )

PURPOSE

DLAED0 computes all eigenvalues and corresponding eigenvectors of a symmetric tridiagonal matrix using the divide and conquer method. 
 

ARGUMENTS

ICOMPQ  (input) INTEGER
= 0:  Compute eigenvalues only.
= 1:  Compute eigenvectors of original dense symmetric matrix also.  On entry, Q contains the orthogonal matrix used to reduce the original matrix to tridiagonal form. = 2:  Compute eigenvalues and eigenvectors of tridiagonal matrix.

QSIZ   (input) INTEGER
The dimension of the orthogonal matrix used to reduce the full matrix to tridiagonal form.  QSIZ >= N if ICOMPQ = 1.

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

D      (input/output) DOUBLE PRECISION array, dimension (N)
On entry, the main diagonal of the tridiagonal matrix. On exit, its eigenvalues.

E      (input) DOUBLE PRECISION array, dimension (N-1)
The off-diagonal elements of the tridiagonal matrix. On exit, E has been destroyed.

Q      (input/output) DOUBLE PRECISION array, dimension (LDQ, N)
On entry, Q must contain an N-by-N orthogonal matrix. If ICOMPQ = 0    Q is not referenced. If ICOMPQ = 1    On entry, Q is a subset of the columns of the orthogonal matrix used to reduce the full matrix to tridiagonal form corresponding to the subset of the full matrix which is being decomposed at this time. If ICOMPQ = 2    On entry, Q will be the identity matrix. On exit, Q contains the eigenvectors of the tridiagonal matrix.

LDQ    (input) INTEGER
The leading dimension of the array Q.  If eigenvectors are desired, then  LDQ >= max(1,N).  In any case,  LDQ >= 1.
 
QSTORE (workspace) DOUBLE PRECISION array, dimension (LDQS, N) Referenced only when ICOMPQ = 1.  Used to store parts of the eigenvector matrix when the updating matrix multiplies take place.

LDQS   (input) INTEGER
The leading dimension of the array QSTORE.  If ICOMPQ = 1, then  LDQS >= max(1,N).  In any case,  LDQS >= 1.

WORK   (workspace) DOUBLE PRECISION array,
dimension (1 + 3∗N + 2∗N∗lg N + 2∗N∗∗2) ( lg( N ) = smallest integer k such that 2^k >= N )

IWORK  (workspace) INTEGER array,
If ICOMPQ = 0 or 1, the dimension of IWORK must be at least 6 + 6∗N + 5∗N∗lg N. ( lg( N ) = smallest integer k such that 2^k >= N ) If ICOMPQ = 2, the dimension of IWORK 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).

Sun, Inc.  —  Last change: 20 Sep 1996