The routine may be called by the names f08uqf, nagf_lapackeig_zhbgvd or its LAPACK name zhbgvd.
3Description
The generalized Hermitian-definite band problem
is first reduced to a standard band Hermitian problem
where is a Hermitian band matrix, using Wilkinson's modification to Crawford's algorithm (see Crawford (1973) and Wilkinson (1977)).
The Hermitian eigenvalue problem is then solved for the eigenvalues and the eigenvectors, if required, which are then backtransformed to the eigenvectors of the original problem.
The eigenvectors are normalized so that the matrix of eigenvectors, , satisfies
where is the diagonal matrix whose diagonal elements are the eigenvalues.
4References
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 https://www.netlib.org/lapack/lug
Crawford C R (1973) Reduction of a band-symmetric generalized eigenvalue problem Comm. ACM16 41–44
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore
Wilkinson J H (1977) Some recent advances in numerical linear algebra The State of the Art in Numerical Analysis (ed D A H Jacobs) Academic Press
5Arguments
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 triangles of and are stored.
If , the lower triangles of and are stored.
Constraint:
or .
3: – IntegerInput
On entry: , the order of the matrices and .
Constraint:
.
4: – IntegerInput
On entry: if , the number of superdiagonals, , of the matrix .
If , the number of subdiagonals, , of the matrix .
Constraint:
.
5: – IntegerInput
On entry: if , the number of superdiagonals, , of the matrix .
If , the number of subdiagonals, , of the matrix .
Constraint:
.
6: – Complex (Kind=nag_wp) arrayInput/Output
Note: the second dimension of the array ab
must be at least
.
On entry: the upper or lower triangle of the Hermitian band matrix .
The matrix is stored in rows to , more precisely,
if , the elements of the upper triangle of within the band must be stored with element in ;
if , the elements of the lower triangle of within the band must be stored with element in
On entry: the first dimension of the array ab as declared in the (sub)program from which f08uqf is called.
Constraint:
.
8: – Complex (Kind=nag_wp) arrayInput/Output
Note: the second dimension of the array bb
must be at least
.
On entry: the upper or lower triangle of the Hermitian band matrix .
The matrix is stored in rows to , more precisely,
if , the elements of the upper triangle of within the band must be stored with element in ;
if , the elements of the lower triangle of within the band must be stored with element in
On exit: the factor from the split Cholesky factorization , as returned by f08utf.
9: – IntegerInput
On entry: the first dimension of the array bb as declared in the (sub)program from which f08uqf is called.
Constraint:
.
10: – Real (Kind=nag_wp) arrayOutput
On exit: the eigenvalues in ascending order.
11: – Complex (Kind=nag_wp) arrayOutput
Note: the second dimension of the array z
must be at least
if , and at least otherwise.
On exit: if , z contains the matrix of eigenvectors, with the th column of holding the eigenvector associated with . The eigenvectors are normalized so that .
On entry: the first dimension of the array z as declared in the (sub)program from which f08uqf is called.
Constraints:
if , ;
otherwise .
13: – Complex (Kind=nag_wp) arrayWorkspace
On exit: if , the real part of contains the minimum value of lwork required for optimal performance.
14: – IntegerInput
On entry: the dimension of the array work as declared in the (sub)program from which f08uqf is called.
If , a workspace query is assumed; the routine only calculates the optimal sizes of the work, rwork and iwork arrays, returns these values as the first entries of the work, rwork and iwork arrays, and no error message related to lwork, lrwork or liwork is issued.
On entry: the first dimension of the array rwork as declared in the (sub)program from which f08uqf is called.
If , a workspace query is assumed; the routine only calculates the optimal sizes of the work, rwork and iwork arrays, returns these values as the first entries of the work, rwork and iwork arrays, and no error message related to lwork, lrwork or liwork is issued.
On entry: the dimension of the array iwork as declared in the (sub)program from which f08uqf is called.
If , a workspace query is assumed; the routine only calculates the optimal sizes of the work, rwork and iwork arrays, returns these values as the first entries of the work, rwork and iwork arrays, and no error message related to lwork, lrwork or liwork is issued.
Constraints:
if or , ;
if and , .
19: – IntegerOutput
On exit: unless the routine detects an error (see Section 6).
6Error Indicators and Warnings
If , argument had an illegal value. An explanatory message is output, and execution of the program is terminated.
The algorithm failed to converge; off-diagonal elements of an intermediate tridiagonal form did not converge to zero.
If , for , f08utf returned : is not positive definite. The factorization of could not be completed and no eigenvalues or eigenvectors were computed.
7Accuracy
If is ill-conditioned with respect to inversion, then the error bounds for the computed eigenvalues and vectors may be large, although when the diagonal elements of differ widely in magnitude the eigenvalues and eigenvectors may be less sensitive than the condition of would suggest. See Section 4.10 of Anderson et al. (1999) for details of the error bounds.
8Parallelism and Performance
f08uqf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f08uqf 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.
9Further Comments
The total number of floating-point operations is proportional to if and, assuming that , is approximately proportional to otherwise.