NAG FL Interface
f08gnf (zhpev)

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1 Purpose

f08gnf computes all the eigenvalues and, optionally, all the eigenvectors of a complex n×n Hermitian matrix A in packed storage.

2 Specification

Fortran Interface
Subroutine f08gnf ( jobz, uplo, n, ap, w, z, ldz, work, rwork, info)
Integer, Intent (In) :: n, ldz
Integer, Intent (Out) :: info
Real (Kind=nag_wp), Intent (Out) :: w(n), rwork(3*n-2)
Complex (Kind=nag_wp), Intent (Inout) :: ap(*), z(ldz,*)
Complex (Kind=nag_wp), Intent (Out) :: work(2*n-1)
Character (1), Intent (In) :: jobz, uplo
C Header Interface
#include <nag.h>
void  f08gnf_ (const char *jobz, const char *uplo, const Integer *n, Complex ap[], double w[], Complex z[], const Integer *ldz, Complex work[], double rwork[], Integer *info, const Charlen length_jobz, const Charlen length_uplo)
The routine may be called by the names f08gnf, nagf_lapackeig_zhpev or its LAPACK name zhpev.

3 Description

The Hermitian matrix A is first reduced to real tridiagonal form, using unitary similarity transformations, and then the QR 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
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore

5 Arguments

1: jobz Character(1) Input
On entry: indicates whether eigenvectors are computed.
Only eigenvalues are computed.
Eigenvalues and eigenvectors are computed.
Constraint: jobz='N' or 'V'.
2: uplo Character(1) Input
On entry: if uplo='U', the upper triangular part of A is stored.
If uplo='L', the lower triangular part of A is stored.
Constraint: uplo='U' or 'L'.
3: n Integer Input
On entry: n, the order of the matrix A.
Constraint: n0.
4: ap(*) Complex (Kind=nag_wp) array Input/Output
Note: the dimension of the array ap must be at least max(1,n×(n+1)/2).
On entry: the upper or lower triangle of the n×n Hermitian matrix A, packed by columns.
More precisely,
  • if uplo='U', the upper triangle of A must be stored with element Aij in ap(i+j(j-1)/2) for ij;
  • if uplo='L', the lower triangle of A must be stored with element Aij in ap(i+(2n-j)(j-1)/2) for ij.
On exit: ap is overwritten by the values generated during the reduction to tridiagonal form. The elements of the diagonal and the off-diagonal of the tridiagonal matrix overwrite the corresponding elements of A.
5: w(n) Real (Kind=nag_wp) array Output
On exit: the eigenvalues in ascending order.
6: z(ldz,*) Complex (Kind=nag_wp) array Output
Note: the second dimension of the array z must be at least max(1,n) if jobz='V', and at least 1 otherwise.
On exit: if jobz='V', z contains the orthonormal eigenvectors of the matrix A, with the ith column of Z holding the eigenvector associated with w(i).
If jobz='N', z is not referenced.
7: ldz Integer Input
On entry: the first dimension of the array z as declared in the (sub)program from which f08gnf is called.
  • if jobz='V', ldz max(1,n) ;
  • otherwise ldz1.
8: work(2×n-1) Complex (Kind=nag_wp) array Workspace
9: rwork(3×n-2) Real (Kind=nag_wp) array Workspace
10: info Integer Output
On exit: info=0 unless the routine detects an error (see Section 6).

6 Error Indicators and Warnings

If info=-i, argument i had an illegal value. An explanatory message is output, and execution of the program is terminated.
The algorithm failed to converge; value 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 (A+E), where
E2 = O(ε) A2 ,  
and ε is the machine precision. See Section 4.7 of Anderson et al. (1999) for further details.

8 Parallelism and Performance

Background information to multithreading can be found in the Multithreading documentation.
f08gnf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f08gnf 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.

9 Further Comments

Each eigenvector is normalized so that the element of largest absolute value is real.
The total number of floating-point operations is proportional to n3.
The real analogue of this routine is f08gaf.

10 Example

This example finds all the eigenvalues of the Hermitian matrix
A = ( 1 2-i 3-i 4-i 2+i 2 3-2i 4-2i 3+i 3+2i 3 4-3i 4+i 4+2i 4+3i 4 ) ,  
together with approximate error bounds for the computed eigenvalues.

10.1 Program Text

Program Text (f08gnfe.f90)

10.2 Program Data

Program Data (f08gnfe.d)

10.3 Program Results

Program Results (f08gnfe.r)