?hbgst

Developer Reference for Intel® oneAPI Math Kernel Library for C

Download PDF

ID 766684

Date 3/22/2024

Version

Public

A newer version of this document is available. Customers should click here to go to the newest version.

Visible to Intel only — GUID: GUID-85306E5E-A6A8-4EA7-949D-E1ABD828DD22

View Details

?hbgst

Reduces a complex Hermitian positive-definite generalized eigenproblem for banded matrices to the standard form using the factorization performed by ?pbstf.

Syntax

lapack_int LAPACKE_chbgst (int matrix_layout, char vect, char uplo, lapack_int n, lapack_int ka, lapack_int kb, lapack_complex_float* ab, lapack_int ldab, const lapack_complex_float* bb, lapack_int ldbb, lapack_complex_float* x, lapack_int ldx);

lapack_int LAPACKE_zhbgst (int matrix_layout, char vect, char uplo, lapack_int n, lapack_int ka, lapack_int kb, lapack_complex_double* ab, lapack_int ldab, const lapack_complex_double* bb, lapack_int ldbb, lapack_complex_double* x, lapack_int ldx);

Include Files

mkl.h

Description

To reduce the complex Hermitian positive-definite generalized eigenproblem A*z = λ*B*z to the standard form C*x = λ*y, where A, B and C are banded, this routine must be preceded by a call to pbstf/pbstf, which computes the split Cholesky factorization of the positive-definite matrix B: B = S^H*S. The split Cholesky factorization, compared with the ordinary Cholesky factorization, allows the work to be approximately halved.

This routine overwrites A with C = X^H*A*X, where X = inv(S)*Q, and Q is a unitary matrix chosen (implicitly) to preserve the bandwidth of A. The routine also has an option to allow the accumulation of X, and then, if z is an eigenvector of C, X*z is an eigenvector of the original system.

Input Parameters

matrix_layout

Specifies whether matrix storage layout is row major (LAPACK_ROW_MAJOR) or column major (LAPACK_COL_MAJOR).

vect

Must be 'N' or 'V'.

If vect = 'N', then matrix X is not returned;

If vect = 'V', then matrix X is returned.

uplo

Must be 'U' or 'L'.

If uplo = 'U', ab stores the upper triangular part of A.

If uplo = 'L', ab stores the lower triangular part of A.

n

The order of the matrices A and B (n≥ 0).

ka

The number of super- or sub-diagonals in A

(ka≥ 0).

kb

The number of super- or sub-diagonals in B

(ka≥kb≥ 0).

ab, bb

ab(size at least max(1, ldab*n) for column major layout and at least max(1, ldab*(ka + 1)) for row major layout) is an array containing either upper or lower triangular part of the Hermitian matrix A (as specified by uplo) in band storage format.

bb(size at least max(1, ldbb*n) for column major layout and at least max(1, ldbb*(kb + 1)) for row major layout) is an array containing the banded split Cholesky factor of B as specified by uplo, n and kb and returned by pbstf/pbstf.

ldab

The leading dimension of the array ab; must be at least ka+1 for column major layout and max(1, n) for row major layout.

ldbb

The leading dimension of the array bb; must be at least kb+1 for column major layout and max(1, n) for row major layout.

ldx

The leading dimension of the output array x. Constraints:

if vect = 'N', then ldx≥ 1;

if vect = 'V', then ldx≥ max(1, n).

Output Parameters

ab

On exit, this array is overwritten by the upper or lower triangle of C as specified by uplo.

x

Array.

If vect = 'V', then x (size at least max(1, ldx*n)) contains the n-by-n matrix X = inv(S)*Q.

If vect = 'N', then x is not referenced.

Return Values

This function returns a value info.

If info=0, the execution is successful.

If info = -i, the i-th parameter had an illegal value.

Application Notes

Forming the reduced matrix C involves implicit multiplication by inv(B). When the routine is used as a step in the computation of eigenvalues and eigenvectors of the original problem, there may be a significant loss of accuracy if B is ill-conditioned with respect to inversion. The total number of floating-point operations is approximately 20n²*kb, when vect = 'N'. Additional 5n³*(kb/ka) operations are required when vect = 'V'. All these estimates assume that both ka and kb are much less than n.

Parent topic: Generalized Symmetric-Definite Eigenvalue Problems: LAPACK Computational Routines

Select Your Language

Using Intel.com Search

Quick Links

Recent Searches

Advanced Search

Only search in

Developer Reference for Intel® oneAPI Math Kernel Library for C

?hbgst

Syntax

Include Files

Description

Input Parameters

Output Parameters

Return Values

Application Notes