zhpgvx(3)
NAME
- ZHPGVX - compute selected eigenvalues and, optionally,
- eigenvectors of a complex generalized Hermitian-definite eigen
- problem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or
- B*A*x=(lambda)*x
SYNOPSIS
SUBROUTINE ZHPGVX( ITYPE, JOBZ, RANGE, UPLO, N, AP, BP,
VL, VU, IL, IU, ABSTOL, M, W, Z, LDZ, WORK, RWORK, IWORK, IFAIL,
INFO )
CHARACTER JOBZ, RANGE, UPLO
INTEGER IL, INFO, ITYPE, IU, LDZ, M, N
DOUBLE PRECISION ABSTOL, VL, VU
INTEGER IFAIL( * ), IWORK( * )
DOUBLE PRECISION RWORK( * ), W( * )
COMPLEX*16 AP( * ), BP( * ), WORK( * ), Z( LDZ, *
)
PURPOSE
- ZHPGVX computes selected eigenvalues and, optionally,
- eigenvectors of a complex generalized Hermitian-definite eigen
- problem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or
- B*A*x=(lambda)*x. Here A and B are assumed to be Hermitian,
- stored in packed format, and B is also positive definite. Eigen
- values and eigenvectors can be selected by specifying either a
- range of values or a range of indices for the desired eigenval
- ues.
ARGUMENTS
- ITYPE (input) INTEGER
- Specifies the problem type to be solved:
= 1: A*x = (lambda)*B*x
= 2: A*B*x = (lambda)*x
= 3: B*A*x = (lambda)*x
- JOBZ (input) CHARACTER*1
- = 'N': Compute eigenvalues only;
= 'V': Compute eigenvalues and eigenvectors.
- RANGE (input) CHARACTER*1
- = 'A': all eigenvalues will be found;
= 'V': all eigenvalues in the half-open interval
- (VL,VU] will be found; = 'I': the IL-th through IU-th eigenvalues
- will be found.
- UPLO (input) CHARACTER*1
- = 'U': Upper triangles of A and B are stored;
= 'L': Lower triangles of A and B are stored.
- N (input) INTEGER
- The order of the matrices A and B. N >= 0.
- AP (input/output) COMPLEX*16 array, dimension
- (N*(N+1)/2)
- On entry, the upper or lower triangle of the Her
- mitian matrix A, packed columnwise in a linear array. The j-th
- column of A is stored in the array AP as follows: if UPLO = 'U',
- AP(i + (j-1)*j/2) = A(i,j) for 1<=i<=j; if UPLO = 'L', AP(i +
- (j-1)*(2*n-j)/2) = A(i,j) for j<=i<=n.
- On exit, the contents of AP are destroyed.
- BP (input/output) COMPLEX*16 array, dimension
- (N*(N+1)/2)
- On entry, the upper or lower triangle of the Her
- mitian matrix B, packed columnwise in a linear array. The j-th
- column of B is stored in the array BP as follows: if UPLO = 'U',
- BP(i + (j-1)*j/2) = B(i,j) for 1<=i<=j; if UPLO = 'L', BP(i +
- (j-1)*(2*n-j)/2) = B(i,j) for j<=i<=n.
- On exit, the triangular factor U or L from the
- Cholesky factorization B = U**H*U or B = L*L**H, in the same
- storage format as B.
- VL (input) DOUBLE PRECISION
- VU (input) DOUBLE PRECISION If RANGE='V', the
- lower and upper bounds of the interval to be searched for eigen
- values. VL < VU. Not referenced if RANGE = 'A' or 'I'.
- IL (input) INTEGER
- IU (input) INTEGER If RANGE='I', the indices
- (in ascending order) of the smallest and largest eigenvalues to
- be returned. 1 <= IL <= IU <= N, if N > 0; IL = 1 and IU = 0 if
- N = 0. Not referenced if RANGE = 'A' or 'V'.
- ABSTOL (input) DOUBLE PRECISION
- The absolute error tolerance for the eigenvalues.
- An approximate eigenvalue is accepted as converged when it is de
- termined to lie in an interval [a,b] of width less than or equal
- to
- ABSTOL + EPS * max( |a|,|b| ) ,
- where EPS is the machine precision. If ABSTOL is
- less than or equal to zero, then EPS*|T| will be used in its
- place, where |T| is the 1-norm of the tridiagonal matrix obtained
- by reducing AP to tridiagonal form.
- Eigenvalues will be computed most accurately when
- ABSTOL is set to twice the underflow threshold 2*DLAMCH('S'), not
- zero. If this routine returns with INFO>0, indicating that some
- eigenvectors did not converge, try setting ABSTOL to 2*DLAM
- CH('S').
- M (output) INTEGER
- The total number of eigenvalues found. 0 <= M <=
- N. If RANGE = 'A', M = N, and if RANGE = 'I', M = IU-IL+1.
- W (output) DOUBLE PRECISION array, dimension (N)
- On normal exit, the first M elements contain the
- selected eigenvalues in ascending order.
- Z (output) COMPLEX*16 array, dimension (LDZ, N)
- If JOBZ = 'N', then Z is not referenced. If JOBZ
- = 'V', then if INFO = 0, the first M columns of Z contain the or
- thonormal eigenvectors of the matrix A corresponding to the se
- lected eigenvalues, with the i-th column of Z holding the eigen
- vector associated with W(i). The eigenvectors are normalized as
- follows: if ITYPE = 1 or 2, Z**H*B*Z = I; if ITYPE = 3,
- Z**H*inv(B)*Z = I.
- If an eigenvector fails to converge, then that
- column of Z contains the latest approximation to the eigenvector,
- and the index of the eigenvector is returned in IFAIL. Note: the
- user must ensure that at least max(1,M) columns are supplied in
- the array Z; if RANGE = 'V', the exact value of M is not known in
- advance and an upper bound must be used.
- LDZ (input) INTEGER
- The leading dimension of the array Z. LDZ >= 1,
- and if JOBZ = 'V', LDZ >= max(1,N).
- WORK (workspace) COMPLEX*16 array, dimension (2*N)
- RWORK (workspace) DOUBLE PRECISION array, dimension
- (7*N)
- IWORK (workspace) INTEGER array, dimension (5*N)
- IFAIL (output) INTEGER array, dimension (N)
- If JOBZ = 'V', then if INFO = 0, the first M ele
- ments of IFAIL are zero. If INFO > 0, then IFAIL contains the
- indices of the eigenvectors that failed to converge. If JOBZ =
- 'N', then IFAIL is not referenced.
- INFO (output) INTEGER
- = 0: successful exit
< 0: if INFO = -i, the i-th argument had an ille
- gal value
> 0: ZPPTRF or ZHPEVX returned an error code:
<= N: if INFO = i, ZHPEVX failed to converge; i
- eigenvectors failed to converge. Their indices are stored in ar
- ray IFAIL. > N: if INFO = N + i, for 1 <= i <= n, then the
- leading minor of order i of B is not positive definite. The fac
- torization of B could not be completed and no eigenvalues or
- eigenvectors were computed.
FURTHER DETAILS
- Based on contributions by
- Mark Fahey, Department of Mathematics, Univ. of Ken
- tucky, USA
- LAPACK version 3.0 15 June 2000