Visible to Intel only — GUID: GUID-D2916420-EF1C-4F16-B559-293A991EA303
Visible to Intel only — GUID: GUID-D2916420-EF1C-4F16-B559-293A991EA303
?hpevx
Computes selected eigenvalues and, optionally, eigenvectors of a Hermitian matrix in packed storage.
Syntax
lapack_int LAPACKE_chpevx( int matrix_layout, char jobz, char range, char uplo, lapack_int n, lapack_complex_float* ap, float vl, float vu, lapack_int il, lapack_int iu, float abstol, lapack_int* m, float* w, lapack_complex_float* z, lapack_int ldz, lapack_int* ifail );
lapack_int LAPACKE_zhpevx( int matrix_layout, char jobz, char range, char uplo, lapack_int n, lapack_complex_double* ap, double vl, double vu, lapack_int il, lapack_int iu, double abstol, lapack_int* m, double* w, lapack_complex_double* z, lapack_int ldz, lapack_int* ifail );
Include Files
- mkl.h
Description
The routine computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix A in packed storage. Eigenvalues and eigenvectors can be selected by specifying either a range of values or a range of indices for the desired eigenvalues.
Input Parameters
- matrix_layout
-
Specifies whether matrix storage layout is row major (LAPACK_ROW_MAJOR) or column major (LAPACK_COL_MAJOR).
- jobz
-
Must be 'N' or 'V'.
If job = 'N', then only eigenvalues are computed.
If job = 'V', then eigenvalues and eigenvectors are computed.
- range
-
Must be 'A' or 'V' or 'I'.
If range = 'A', the routine computes all eigenvalues.
If range = 'V', the routine computes eigenvalues w[i] in the half-open interval: vl< w[i]≤vu.
If range = 'I', the routine computes eigenvalues with indices il to iu.
- uplo
-
Must be 'U' or 'L'.
If uplo = 'U', ap stores the packed upper triangular part of A.
If uplo = 'L', ap stores the packed lower triangular part of A.
- n
-
The order of the matrix A (n≥ 0).
- ap
-
Array ap contains the packed upper or lower triangle of the Hermitian matrix A, as specified by uplo.
The size of ap must be at least max(1, n*(n+1)/2).
- vl, vu
-
If range = 'V', the lower and upper bounds of the interval to be searched for eigenvalues.
Constraint: vl< vu.
If range = 'A' or 'I', vl and vu are not referenced.
- il, iu
-
If range = 'I', the indices in ascending order of the smallest and largest eigenvalues to be returned.
Constraint: 1 ≤il≤iu≤n, if n > 0; il=1 and iu=0 if n = 0.
If range = 'A' or 'V', il and iu are not referenced.
- abstol
-
The absolute error tolerance to which each eigenvalue is required. See Application notes for details on error tolerance.
- ldz
-
The leading dimension of the output array z.
Constraints:
if jobz = 'N', then ldz≥ 1;
if jobz = 'V', then ldz≥ max(1, n) for column major layout and ldz≥ max(1, m) for row major layout.
Output Parameters
- ap
-
On exit, this array is overwritten by the values generated during the reduction to tridiagonal form. The elements of the diagonal and the off-diagonal of the tridiagonal matrix overwrite the corresponding elements of A.
- m
-
The total number of eigenvalues found, 0 ≤m≤n.
0 ≤m≤n. If range = 'A', m = n, if range = 'I', m = iu-il+1, and if range = 'V' the exact value of m is not known in advance..
- w
-
Array, size at least max(1, n).
If info = 0, contains the selected eigenvalues of the matrix A in ascending order.
- z
-
Array z(size max(1, ldz*m) for column major layout and max(1, ldz*n) for row major layout).
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.
- ifail
-
Array, size at least max(1, n).
If jobz = 'V', then if info = 0, the first m elements of ifail are zero; if info > 0, the ifail contains the indices the eigenvectors that failed to converge.
If jobz = 'N', then ifail is not referenced.
Return Values
This function returns a value info.
If info=0, the execution is successful.
If info = -i, the i-th parameter had an illegal value.
If info = i, then i eigenvectors failed to converge; their indices are stored in the array ifail.
Application Notes
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+ε*max(|a|,|b|), where ε is the machine precision.
If abstol is less than or equal to zero, then ε*||T||1 will be used in its place, where T is the tridiagonal matrix obtained by reducing A to tridiagonal form. Eigenvalues will be computed most accurately when abstol is set to twice the underflow threshold 2*?lamch('S'), not zero.
If this routine returns with info > 0, indicating that some eigenvectors did not converge, try setting abstol to 2*?lamch('S').