zhbgvd - compute all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite banded eigenproblem, of the form A*x=(lambda)*B*x
SUBROUTINE ZHBGVD( JOBZ, UPLO, N, KA, KB, AB, LDAB, BB, LDBB, W, Z, * LDZ, WORK, LWORK, RWORK, LRWORK, IWORK, LIWORK, INFO) CHARACTER * 1 JOBZ, UPLO DOUBLE COMPLEX AB(LDAB,*), BB(LDBB,*), Z(LDZ,*), WORK(*) INTEGER N, KA, KB, LDAB, LDBB, LDZ, LWORK, LRWORK, LIWORK, INFO INTEGER IWORK(*) DOUBLE PRECISION W(*), RWORK(*)
SUBROUTINE ZHBGVD_64( JOBZ, UPLO, N, KA, KB, AB, LDAB, BB, LDBB, W, * Z, LDZ, WORK, LWORK, RWORK, LRWORK, IWORK, LIWORK, INFO) CHARACTER * 1 JOBZ, UPLO DOUBLE COMPLEX AB(LDAB,*), BB(LDBB,*), Z(LDZ,*), WORK(*) INTEGER*8 N, KA, KB, LDAB, LDBB, LDZ, LWORK, LRWORK, LIWORK, INFO INTEGER*8 IWORK(*) DOUBLE PRECISION W(*), RWORK(*)
SUBROUTINE HBGVD( JOBZ, UPLO, [N], KA, KB, AB, [LDAB], BB, [LDBB], * W, Z, [LDZ], [WORK], [LWORK], [RWORK], [LRWORK], [IWORK], [LIWORK], * [INFO]) CHARACTER(LEN=1) :: JOBZ, UPLO COMPLEX(8), DIMENSION(:) :: WORK COMPLEX(8), DIMENSION(:,:) :: AB, BB, Z INTEGER :: N, KA, KB, LDAB, LDBB, LDZ, LWORK, LRWORK, LIWORK, INFO INTEGER, DIMENSION(:) :: IWORK REAL(8), DIMENSION(:) :: W, RWORK
SUBROUTINE HBGVD_64( JOBZ, UPLO, [N], KA, KB, AB, [LDAB], BB, [LDBB], * W, Z, [LDZ], [WORK], [LWORK], [RWORK], [LRWORK], [IWORK], [LIWORK], * [INFO]) CHARACTER(LEN=1) :: JOBZ, UPLO COMPLEX(8), DIMENSION(:) :: WORK COMPLEX(8), DIMENSION(:,:) :: AB, BB, Z INTEGER(8) :: N, KA, KB, LDAB, LDBB, LDZ, LWORK, LRWORK, LIWORK, INFO INTEGER(8), DIMENSION(:) :: IWORK REAL(8), DIMENSION(:) :: W, RWORK
#include <sunperf.h>
void zhbgvd(char jobz, char uplo, int n, int ka, int kb, doublecomplex *ab, int ldab, doublecomplex *bb, int ldbb, double *w, doublecomplex *z, int ldz, int *info);
void zhbgvd_64(char jobz, char uplo, long n, long ka, long kb, doublecomplex *ab, long ldab, doublecomplex *bb, long ldbb, double *w, doublecomplex *z, long ldz, long *info);
zhbgvd computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite banded eigenproblem, of the form A*x=(lambda)*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.
The divide and conquer algorithm makes very mild assumptions about floating point arithmetic. It will work on machines with a guard digit in add/subtract, or on those binary machines without guard digits which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or Cray-2. It could conceivably fail on hexadecimal or decimal machines without guard digits, but we know of none.
= 'N': Compute eigenvalues only;
= 'V': Compute eigenvalues and eigenvectors.
= 'U': Upper triangles of A and B are stored;
= 'L': Lower triangles of A and B are stored.
AB(ka+1+i-j,j)
= A(i,j)
for max(1,j-ka)
< =i < =j;
if UPLO = 'L', AB(1+i-j,j)
= A(i,j)
for j < =i < =min(n,j+ka).
On exit, the contents of AB are destroyed.
BB(kb+1+i-j,j)
= B(i,j)
for max(1,j-kb)
< =i < =j;
if UPLO = 'L', BB(1+i-j,j)
= B(i,j)
for j < =i < =min(n,j+kb).
On exit, the factor S from the split Cholesky factorization B = S**H*S, as returned by CPBSTF.
WORK(1)
returns the optimal LWORK.
If LWORK = -1, then 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 by XERBLA.
RWORK(1)
returns the optimal LRWORK.
If LRWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the RWORK array, returns this value as the first entry of the RWORK array, and no error message related to LRWORK is issued by XERBLA.
IWORK(1)
returns the optimal LIWORK.
If LIWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the IWORK array, returns this value as the first entry of the IWORK array, and no error message related to LIWORK is issued by XERBLA.
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, and i is:
< = N: the algorithm failed to converge: i off-diagonal elements of an intermediate tridiagonal form did not converge to zero; > N: if INFO = N + i, for 1 < = i < = N, then CPBSTF
returned INFO = i: B is not positive definite. The factorization of B could not be completed and no eigenvalues or eigenvectors were computed.
Based on contributions by
Mark Fahey, Department of Mathematics, Univ. of Kentucky, USA