NAG Library Routine Document
F08FCF (DSYEVD)
1 Purpose
F08FCF (DSYEVD) computes all the eigenvalues and, optionally, all the eigenvectors of a real symmetric matrix.
If the eigenvectors are requested, then it uses a divide-and-conquer algorithm to compute eigenvalues and eigenvectors. However, if only eigenvalues are required, then it uses the Pal–Walker–Kahan variant of the or algorithm.
2 Specification
SUBROUTINE F08FCF ( |
JOB, UPLO, N, A, LDA, W, WORK, LWORK, IWORK, LIWORK, INFO) |
INTEGER |
N, LDA, LWORK, IWORK(max(1,LIWORK)), LIWORK, INFO |
REAL (KIND=nag_wp) |
A(LDA,*), W(*), WORK(max(1,LWORK)) |
CHARACTER(1) |
JOB, UPLO |
|
The routine may be called by its
LAPACK
name dsyevd.
3 Description
F08FCF (DSYEVD) computes all the eigenvalues and, optionally, all the eigenvectors of a real symmetric matrix
.
In other words, it can compute the spectral factorization of
as
where
is a diagonal matrix whose diagonal elements are the eigenvalues
, and
is the orthogonal matrix whose columns are the eigenvectors
. Thus
4 References
Anderson E, Bai Z, Bischof C, Blackford S, Demmel J, Dongarra J J, Du Croz J J, Greenbaum A, Hammarling S, McKenney A and Sorensen D (1999)
LAPACK Users' Guide (3rd Edition) SIAM, Philadelphia
http://www.netlib.org/lapack/lug
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore
5 Parameters
- 1: – CHARACTER(1)Input
-
On entry: indicates whether eigenvectors are computed.
- Only eigenvalues are computed.
- Eigenvalues and eigenvectors are computed.
Constraint:
or .
- 2: – CHARACTER(1)Input
-
On entry: indicates whether the upper or lower triangular part of
is stored.
- The upper triangular part of is stored.
- The lower triangular part of is stored.
Constraint:
or .
- 3: – INTEGERInput
-
On entry: , the order of the matrix .
Constraint:
.
- 4: – REAL (KIND=nag_wp) arrayInput/Output
-
Note: the second dimension of the array
A
must be at least
.
On entry: the
by
symmetric matrix
.
- If , the upper triangular part of must be stored and the elements of the array below the diagonal are not referenced.
- If , the lower triangular part of must be stored and the elements of the array above the diagonal are not referenced.
On exit: if
,
A is overwritten by the orthogonal matrix
which contains the eigenvectors of
.
- 5: – INTEGERInput
-
On entry: the first dimension of the array
A as declared in the (sub)program from which F08FCF (DSYEVD) is called.
Constraint:
.
- 6: – REAL (KIND=nag_wp) arrayOutput
-
Note: the dimension of the array
W
must be at least
.
On exit: the eigenvalues of the matrix in ascending order.
- 7: – REAL (KIND=nag_wp) arrayWorkspace
-
On exit: if
,
contains the required minimal size of
LWORK.
- 8: – INTEGERInput
-
On entry: the dimension of the array
WORK as declared in the (sub)program from which F08FCF (DSYEVD) is called.
If
, a workspace query is assumed; the routine only calculates the minimum dimension of the
WORK array, returns this value as the first entry of the
WORK array, and no error message related to
LWORK is issued.
Constraints:
- if , or ;
- if and , or ;
- if and , or .
- 9: – INTEGER arrayWorkspace
-
On exit: if
,
contains the required minimal size of
LIWORK.
- 10: – INTEGERInput
-
On entry: the dimension of the array
IWORK as declared in the (sub)program from which F08FCF (DSYEVD) is called.
If
, a workspace query is assumed; the routine only calculates the minimum dimension of the
IWORK array, returns this value as the first entry of the
IWORK array, and no error message related to
LIWORK is issued.
Constraints:
- if , or ;
- if and , or ;
- if and , or .
- 11: – INTEGEROutput
On exit:
unless the routine detects an error (see
Section 6).
6 Error Indicators and Warnings
-
If , argument had an illegal value. An explanatory message is output, and execution of the program is terminated.
-
if and , the algorithm failed to converge; elements of an intermediate tridiagonal form did not converge to zero; if and , then the algorithm failed to compute an eigenvalue while working on the submatrix lying in rows and column through .
7 Accuracy
The computed eigenvalues and eigenvectors are exact for a nearby matrix
, where
and
is the
machine precision. See Section 4.7 of
Anderson et al. (1999) for further details.
8 Parallelism and Performance
F08FCF (DSYEVD) is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
F08FCF (DSYEVD) makes calls to BLAS and/or LAPACK routines, which may be threaded within the vendor library used by this implementation. Consult the documentation for the vendor library for further information.
Please consult the
X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this routine. Please also consult the
Users' Note for your implementation for any additional implementation-specific information.
The complex analogue of this routine is
F08FQF (ZHEEVD).
10 Example
This example computes all the eigenvalues and eigenvectors of the symmetric matrix
, where
10.1 Program Text
Program Text (f08fcfe.f90)
10.2 Program Data
Program Data (f08fcfe.d)
10.3 Program Results
Program Results (f08fcfe.r)