DSYEVD man page on IRIX

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DSYEVD(3F)							    DSYEVD(3F)

NAME
     DSYEVD - compute all eigenvalues and, optionally, eigenvectors of a real
     symmetric matrix A

SYNOPSIS
     SUBROUTINE DSYEVD( JOBZ, UPLO, N, A, LDA, W, WORK, LWORK, IWORK, LIWORK,
			INFO )

	 CHARACTER	JOBZ, UPLO

	 INTEGER	INFO, LDA, LIWORK, LWORK, N

	 INTEGER	IWORK( * )

	 DOUBLE		PRECISION A( LDA, * ), W( * ), WORK( * )

PURPOSE
     DSYEVD computes all eigenvalues and, optionally, eigenvectors of a real
     symmetric matrix A. If eigenvectors are desired, it uses a divide and
     conquer algorithm.

     The divide and conquer algorithm 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.

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

     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) DOUBLE PRECISION array, dimension (LDA, N)
	     On entry, the symmetric 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, if JOBZ = 'V', then if INFO = 0, A contains
	     the orthonormal eigenvectors of the matrix A.  If JOBZ = 'N',
	     then on exit the lower triangle (if UPLO='L') or the upper
	     triangle (if UPLO='U') of A, including the diagonal, is
	     destroyed.

									Page 1

DSYEVD(3F)							    DSYEVD(3F)

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

     W	     (output) DOUBLE PRECISION array, dimension (N)
	     If INFO = 0, the eigenvalues in ascending order.

     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 N <= 1,		LWORK
	     must be at least 1.  If JOBZ = 'N' and N > 1, LWORK must be at
	     least 2*N+1.  If JOBZ = 'V' and N > 1, LWORK must be at least 1 +
	     5*N + 2*N*lg N + 3*N**2, where lg( N ) = smallest integer k such
	     that 2**k >= N.

     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 N <= 1,
	     LIWORK must be at least 1.	 If JOBZ  = 'N' and N > 1, LIWORK must
	     be at least 1.  If JOBZ  = 'V' and N > 1, 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:  if INFO = i, the algorithm failed to converge; i off-
	     diagonal elements of an intermediate tridiagonal form did not
	     converge to zero.

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