Visible to Intel only — GUID: GUID-C0341900-D44F-48F4-B2D6-3436849540A8
Visible to Intel only — GUID: GUID-C0341900-D44F-48F4-B2D6-3436849540A8
?hbgvd
Computes all eigenvalues and, optionally, eigenvectors of a complex generalized Hermitian positive-definite eigenproblem with banded matrices. If eigenvectors are desired, it uses a divide and conquer method.
lapack_int LAPACKE_chbgvd( int matrix_layout, char jobz, char uplo, lapack_int n, lapack_int ka, lapack_int kb, lapack_complex_float* ab, lapack_int ldab, lapack_complex_float* bb, lapack_int ldbb, float* w, lapack_complex_float* z, lapack_int ldz );
lapack_int LAPACKE_zhbgvd( int matrix_layout, char jobz, char uplo, lapack_int n, lapack_int ka, lapack_int kb, lapack_complex_double* ab, lapack_int ldab, lapack_complex_double* bb, lapack_int ldbb, double* w, lapack_complex_double* z, lapack_int ldz );
- mkl.h
The routine computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian positive-definite banded eigenproblem, of the form A*x = λ*B*x. Here A and B are assumed to be Hermitian and banded, and B is also positive definite.
If eigenvectors are desired, it uses a divide and conquer algorithm.
- matrix_layout
-
Specifies whether matrix storage layout is row major (LAPACK_ROW_MAJOR) or column major (LAPACK_COL_MAJOR).
- jobz
-
Must be 'N' or 'V'.
If jobz = 'N', then compute eigenvalues only.
If jobz = 'V', then compute eigenvalues and eigenvectors.
- uplo
-
Must be 'U' or 'L'.
If uplo = 'U', arrays ab and bb store the upper triangles of A and B;
If uplo = 'L', arrays ab and bb store the lower triangles of A and B.
- 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 (kb≥ 0).
- ab, bb
-
Arrays:
ab(size at least max(1, ldab*n) for column major layout and 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 max(1, ldbb*(kb + 1)) for row major layout) is an array containing either upper or lower triangular part of the Hermitian matrix B (as specified by uplo) in band storage format.
- ldab
-
The leading dimension of the array ab; must be at least ka+1.
- ldbb
-
The leading dimension of the array bb; must be at least kb+1.
- ldz
-
The leading dimension of the output array z; ldz≥ 1. If jobz = 'V', ldz≥ max(1, n).
- ab
-
On exit, the contents of ab are overwritten.
- bb
-
On exit, contains the factor S from the split Cholesky factorization B = SH*S, as returned by pbstf/pbstf.
- w
-
Array, size at least max(1, n) .
If info = 0, contains the eigenvalues in ascending order.
- z
-
Array z (size at least max(1, ldz*n)).
If jobz = 'V', then if info = 0, z contains the matrix Z of eigenvectors, with the i-th column of z holding the eigenvector associated with w(i). The eigenvectors are normalized so that ZH*B*Z = I.
If jobz = 'N', then z is not referenced.
This function returns a value info.
If info=0, the execution is successful.
If info = -i, the i-th parameter had an illegal value.
If info > 0, and
if i≤n, the algorithm failed to converge, and i off-diagonal elements of an intermediate tridiagonal did not converge to zero;
if info = n + i, for 1 ≤i≤n, then pbstf/pbstf returned info = i and B is not positive-definite. The factorization of B could not be completed and no eigenvalues or eigenvectors were computed.