NAG Library Routine Document
F08FAF (DSYEV)
1 Purpose
F08FAF (DSYEV) computes all the eigenvalues and, optionally, all the eigenvectors of a real by symmetric matrix .
2 Specification
INTEGER |
N, LDA, LWORK, INFO |
REAL (KIND=nag_wp) |
A(LDA,*), W(N), WORK(max(1,LWORK)) |
CHARACTER(1) |
JOBZ, UPLO |
|
The routine may be called by its
LAPACK
name dsyev.
3 Description
The symmetric matrix is first reduced to tridiagonal form, using orthogonal similarity transformations, and then the algorithm is applied to the tridiagonal matrix to compute the eigenvalues and (optionally) the eigenvectors.
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: if
, the upper triangular part of
is stored.
If , 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
, then
A contains the orthonormal eigenvectors of the matrix
.
If
, then on exit the lower triangle (if
) or the upper triangle (if
) of
A, including the diagonal, is overwritten.
- 5: – INTEGERInput
-
On entry: the first dimension of the array
A as declared in the (sub)program from which F08FAF (DSYEV) is called.
Constraint:
.
- 6: – REAL (KIND=nag_wp) arrayOutput
-
On exit: the eigenvalues in ascending order.
- 7: – REAL (KIND=nag_wp) arrayWorkspace
-
On exit: if
,
contains the minimum value of
LWORK required for optimal performance.
- 8: – INTEGERInput
-
On entry: the dimension of the array
WORK as declared in the (sub)program from which F08FAF (DSYEV) is called.
If
, 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.
Suggested value:
for optimal performance,
, where
is the optimal
block size for
F08FEF (DSYTRD).
Constraint:
.
- 9: – 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 , the algorithm failed to converge; off-diagonal elements of an intermediate tridiagonal form did not converge to zero.
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
F08FAF (DSYEV) is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
F08FAF (DSYEV) 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 total number of floating-point operations is proportional to .
The complex analogue of this routine is
F08FNF (ZHEEV).
10 Example
This example finds all the eigenvalues and eigenvectors of the symmetric matrix
together with approximate error bounds for the computed eigenvalues and eigenvectors.
10.1 Program Text
Program Text (f08fafe.f90)
10.2 Program Data
Program Data (f08fafe.d)
10.3 Program Results
Program Results (f08fafe.r)