LAPACK 3.12.1
LAPACK: Linear Algebra PACKage
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subroutine dstevx | ( | character | jobz, |
character | range, | ||
integer | n, | ||
double precision, dimension( * ) | d, | ||
double precision, dimension( * ) | e, | ||
double precision | vl, | ||
double precision | vu, | ||
integer | il, | ||
integer | iu, | ||
double precision | abstol, | ||
integer | m, | ||
double precision, dimension( * ) | w, | ||
double precision, dimension( ldz, * ) | z, | ||
integer | ldz, | ||
double precision, dimension( * ) | work, | ||
integer, dimension( * ) | iwork, | ||
integer, dimension( * ) | ifail, | ||
integer | info ) |
DSTEVX computes the eigenvalues and, optionally, the left and/or right eigenvectors for OTHER matrices
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!> !> DSTEVX computes selected eigenvalues and, optionally, eigenvectors !> of a real symmetric tridiagonal matrix A. Eigenvalues and !> eigenvectors can be selected by specifying either a range of values !> or a range of indices for the desired eigenvalues. !>
[in] | JOBZ | !> JOBZ is CHARACTER*1 !> = 'N': Compute eigenvalues only; !> = 'V': Compute eigenvalues and eigenvectors. !> |
[in] | RANGE | !> RANGE is 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. !> |
[in] | N | !> N is INTEGER !> The order of the matrix. N >= 0. !> |
[in,out] | D | !> D is DOUBLE PRECISION array, dimension (N) !> On entry, the n diagonal elements of the tridiagonal matrix !> A. !> On exit, D may be multiplied by a constant factor chosen !> to avoid over/underflow in computing the eigenvalues. !> |
[in,out] | E | !> E is DOUBLE PRECISION array, dimension (max(1,N-1)) !> On entry, the (n-1) subdiagonal elements of the tridiagonal !> matrix A in elements 1 to N-1 of E. !> On exit, E may be multiplied by a constant factor chosen !> to avoid over/underflow in computing the eigenvalues. !> |
[in] | VL | !> VL is DOUBLE PRECISION !> If RANGE='V', the lower bound of the interval to !> be searched for eigenvalues. VL < VU. !> Not referenced if RANGE = 'A' or 'I'. !> |
[in] | VU | !> VU is DOUBLE PRECISION !> If RANGE='V', the upper bound of the interval to !> be searched for eigenvalues. VL < VU. !> Not referenced if RANGE = 'A' or 'I'. !> |
[in] | IL | !> IL is INTEGER !> If RANGE='I', the index of the !> smallest eigenvalue 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'. !> |
[in] | IU | !> IU is INTEGER !> If RANGE='I', the index of the !> largest eigenvalue 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'. !> |
[in] | ABSTOL | !> ABSTOL is 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. !> !> 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'). !> !> See by Demmel and !> Kahan, LAPACK Working Note #3. !> |
[out] | M | !> M is INTEGER !> The total number of eigenvalues found. 0 <= M <= N. !> If RANGE = 'A', M = N, and if RANGE = 'I', M = IU-IL+1. !> |
[out] | W | !> W is DOUBLE PRECISION array, dimension (N) !> The first M elements contain the selected eigenvalues in !> ascending order. !> |
[out] | Z | !> Z is 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 (INFO > 0), 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. !> |
[in] | LDZ | !> LDZ is INTEGER !> The leading dimension of the array Z. LDZ >= 1, and if !> JOBZ = 'V', LDZ >= max(1,N). !> |
[out] | WORK | !> WORK is DOUBLE PRECISION array, dimension (5*N) !> |
[out] | IWORK | !> IWORK is INTEGER array, dimension (5*N) !> |
[out] | IFAIL | !> IFAIL is 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. !> |
[out] | INFO | !> INFO is 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. !> |
Definition at line 223 of file dstevx.f.