man dsyevd (Fonctions bibliothèques) - compute all eigenvalues and, optionally, eigenvectors of a real symmetric matrix A
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.
Because of large use of BLAS of level 3, DSYEVD needs N**2 more
workspace than DSYEVX.
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.
- 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 INFO = 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 + 6*N + 2*N**2.
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.
- IWORK (workspace/output) INTEGER array, dimension (LIWORK)
- On exit, if INFO = 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 3 + 5*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: if INFO = i, the algorithm failed to converge; i off-diagonal elements of an intermediate tridiagonal form did not converge to zero.
FURTHER DETAILS
Based on contributions by
Jeff Rutter, Computer Science Division, University of California
at Berkeley, USA
Modified by Francoise Tisseur, University of Tennessee.