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- DSBEVX - compute selected eigenvalues and, optionally, eigenvectors of a
- real symmetric band matrix A
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- SUBROUTINE DSBEVX( JOBZ, RANGE, UPLO, N, KD, AB, LDAB, Q, LDQ, VL, VU,
- IL, IU, ABSTOL, M, W, Z, LDZ, WORK, IWORK, IFAIL, INFO
- )
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- CHARACTER JOBZ, RANGE, UPLO
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- INTEGER IL, INFO, IU, KD, LDAB, LDQ, LDZ, M, N
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- DOUBLE PRECISION ABSTOL, VL, VU
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- INTEGER IFAIL( * ), IWORK( * )
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- DOUBLE PRECISION AB( LDAB, * ), Q( LDQ, * ), W( * ), WORK( *
- ), Z( LDZ, * )
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- DSBEVX computes selected eigenvalues and, optionally, eigenvectors of a
- real symmetric band matrix A. Eigenvalues and eigenvectors can be
- selected by specifying either a range of values or a range of indices for
- the desired eigenvalues.
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- JOBZ (input) CHARACTER*1
- = 'N': Compute eigenvalues only;
- = 'V': Compute eigenvalues and eigenvectors.
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- 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.
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- UPLO (input) CHARACTER*1
- = 'U': Upper triangle of A is stored;
- = 'L': Lower triangle of A is stored.
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- N (input) INTEGER
- The order of the matrix A. N >= 0.
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- KD (input) INTEGER
- The number of superdiagonals of the matrix A if UPLO = 'U', or
- the number of subdiagonals if UPLO = 'L'. KD >= 0.
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- AB (input/output) DOUBLE PRECISION array, dimension (LDAB, N)
- On entry, the upper or lower triangle of the symmetric band
- matrix A, stored in the first KD+1 rows of the array. The j-th
- column of A is stored in the j-th column of the array AB as
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- follows: if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-
- kd)<=i<=j; if UPLO = 'L', AB(1+i-j,j) = A(i,j) for
- j<=i<=min(n,j+kd).
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- On exit, AB is overwritten by values generated during the
- reduction to tridiagonal form. If UPLO = 'U', the first
- superdiagonal and the diagonal of the tridiagonal matrix T are
- returned in rows KD and KD+1 of AB, and if UPLO = 'L', the
- diagonal and first subdiagonal of T are returned in the first two
- rows of AB.
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- LDAB (input) INTEGER
- The leading dimension of the array AB. LDAB >= KD + 1.
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- Q (output) DOUBLE PRECISION array, dimension (LDQ, N)
- If JOBZ = 'V', the N-by-N orthogonal matrix used in the reduction
- to tridiagonal form. If JOBZ = 'N', the array Q is not
- referenced.
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- LDQ (input) INTEGER
- The leading dimension of the array Q. If JOBZ = 'V', then LDQ >=
- max(1,N).
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- VL (input) DOUBLE PRECISION
- VU (input) DOUBLE PRECISION If RANGE='V', the lower and
- upper bounds of the interval to be searched for eigenvalues. 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'.
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- ABSTOL (input) DOUBLE PRECISION
- The absolute error tolerance for the eigenvalues. An approximate
- eigenvalue is accepted as converged when it is determined 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
- AB 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*DLAMCH('S').
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- See "Computing Small Singular Values of Bidiagonal Matrices with
- Guaranteed High Relative Accuracy," by Demmel and Kahan, LAPACK
- Working Note #3.
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- 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)
- The first M elements contain the selected eigenvalues in
- ascending order.
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- Z (output) DOUBLE PRECISION array, dimension (LDZ, max(1,M))
- If JOBZ = 'V', then if INFO = 0, the first M columns of Z contain
- the orthonormal eigenvectors of the matrix A corresponding to the
- selected eigenvalues, with the i-th column of Z holding the
- eigenvector associated with W(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. If JOBZ = 'N', then Z is not referenced. 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.
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- LDZ (input) INTEGER
- The leading dimension of the array Z. LDZ >= 1, and if JOBZ =
- 'V', LDZ >= max(1,N).
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- WORK (workspace) DOUBLE PRECISION array, dimension (7*N)
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- IWORK (workspace) INTEGER array, dimension (5*N)
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- IFAIL (output) INTEGER array, dimension (N)
- If JOBZ = 'V', then if INFO = 0, the first M elements 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.
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- INFO (output) INTEGER
- = 0: successful exit.
- < 0: if INFO = -i, the i-th argument had an illegal value.
- > 0: if INFO = i, then i eigenvectors failed to converge. Their
- indices are stored in array IFAIL.
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