LAPACK 3.12.1
LAPACK: Linear Algebra PACKage
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subroutine dpteqr | ( | character | compz, |
integer | n, | ||
double precision, dimension( * ) | d, | ||
double precision, dimension( * ) | e, | ||
double precision, dimension( ldz, * ) | z, | ||
integer | ldz, | ||
double precision, dimension( * ) | work, | ||
integer | info ) |
DPTEQR
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!> !> DPTEQR computes all eigenvalues and, optionally, eigenvectors of a !> symmetric positive definite tridiagonal matrix by first factoring the !> matrix using DPTTRF, and then calling DBDSQR to compute the singular !> values of the bidiagonal factor. !> !> This routine computes the eigenvalues of the positive definite !> tridiagonal matrix to high relative accuracy. This means that if the !> eigenvalues range over many orders of magnitude in size, then the !> small eigenvalues and corresponding eigenvectors will be computed !> more accurately than, for example, with the standard QR method. !> !> The eigenvectors of a full or band symmetric positive definite matrix !> can also be found if DSYTRD, DSPTRD, or DSBTRD has been used to !> reduce this matrix to tridiagonal form. (The reduction to tridiagonal !> form, however, may preclude the possibility of obtaining high !> relative accuracy in the small eigenvalues of the original matrix, if !> these eigenvalues range over many orders of magnitude.) !>
[in] | COMPZ | !> COMPZ is CHARACTER*1 !> = 'N': Compute eigenvalues only. !> = 'V': Compute eigenvectors of original symmetric !> matrix also. Array Z contains the orthogonal !> matrix used to reduce the original matrix to !> tridiagonal form. !> = 'I': Compute eigenvectors of tridiagonal matrix also. !> |
[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. !> On normal exit, D contains the eigenvalues, in descending !> order. !> |
[in,out] | E | !> E is DOUBLE PRECISION array, dimension (N-1) !> On entry, the (n-1) subdiagonal elements of the tridiagonal !> matrix. !> On exit, E has been destroyed. !> |
[in,out] | Z | !> Z is DOUBLE PRECISION array, dimension (LDZ, N) !> On entry, if COMPZ = 'V', the orthogonal matrix used in the !> reduction to tridiagonal form. !> On exit, if COMPZ = 'V', the orthonormal eigenvectors of the !> original symmetric matrix; !> if COMPZ = 'I', the orthonormal eigenvectors of the !> tridiagonal matrix. !> If INFO > 0 on exit, Z contains the eigenvectors associated !> with only the stored eigenvalues. !> If COMPZ = 'N', then Z is not referenced. !> |
[in] | LDZ | !> LDZ is INTEGER !> The leading dimension of the array Z. LDZ >= 1, and if !> COMPZ = 'V' or 'I', LDZ >= max(1,N). !> |
[out] | WORK | !> WORK is DOUBLE PRECISION array, dimension (4*N) !> |
[out] | INFO | !> INFO is INTEGER !> = 0: successful exit. !> < 0: if INFO = -i, the i-th argument had an illegal value. !> > 0: if INFO = i, and i is: !> <= N the Cholesky factorization of the matrix could !> not be performed because the leading principal !> minor of order i was not positive. !> > N the SVD algorithm failed to converge; !> if INFO = N+i, i off-diagonal elements of the !> bidiagonal factor did not converge to zero. !> |
Definition at line 142 of file dpteqr.f.