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## Arguments

D
(input/output) REAL array, shape with (D) , where is the order of .
On entry, the diagonal elements of the matrix .
On exit, the original contents of D possibly multiplied by a constant factor to avoid over/underflow in computing the eigenvalues.

E
(input/output) REAL array, shape with (E) .
On entry, the subdiagonal elements of in E to E. E need not be set.
On exit, the original contents of E possibly multiplied by a constant factor to avoid over/underflow in computing the eigenvalues.

W
(output) REAL array with .
The first M elements contain the selected eigenvalues in ascending order.

Z
Optional (output) REAL or COMPLEX array, shape with (Z,1) and (Z,2) M.
The first M columns of Z contain the orthonormal eigenvectors of corresponding to the selected eigenvalues, with the column of Z containing the eigenvector associated with the eigenvalue in W.
Note: The user must ensure that at least M columns are supplied in the array Z. When the exact value of M is not known in advance, an upper bound must be used. In all cases M .

VL,VU
Optional (input) REAL.
The lower and upper bounds of the interval to be searched for eigenvalues. VL VU.
Default values: VL -HUGE(wp) and VU HUGE(wp), where wp ::= KIND(1.0) KIND(1.0D0).
Note: Neither VL nor VU may be present if IL and/or IU is present.

IL,IU
Optional (input) INTEGER.
The indices of the smallest and largest eigenvalues to be returned. The through eigenvalues will be found. .
Default values: IL and IU .
Note: Neither IL nor IU may be present if VL and/or VU is present.
Note: All eigenvalues are calculated if none of the arguments VL, VU, IL and IU are present.

M
Optional (output) INTEGER.
The total number of eigenvalues found. .
Note: If and are present then .

ISUPPZ
Optional (output) INTEGER array, shape with size(ISUPPZ) ,M).
The support of the eigenvectors in A, i.e., the indices indicating the nonzero elements. The eigenvector is nonzero only in elements ISUPPZ through ISUPPZ.

ABSTOL
Optional (input) REAL.
The absolute error tolerance for the eigenvalues. An approximate eigenvalue is accepted as converged when it is determined to lie in an interval of width less than or equal to

where wp is the working precision. If ABSTOL , then will be used in its place. Eigenvalues will be computed most accurately if ABSTOL is set to LA_LAMCH( 1.0_wp, 'Safe minimum'), not zero.
Default value: .

INFO
Optional (output) INTEGER

If INFO is not present and an error occurs, then the program is terminated with an error message.
References: [1] and [17,9,20].

Subsections

Next: Example (from Program LA_STEVR_EXAMPLE) Up: Standard Symmetric Eigenvalue Problems Previous: Purpose   Contents   Index
Susan Blackford 2001-08-19