SSPEVX(3)
hey bestie! π welcome to the sspevx.f(3) page from the Library Functions Manual β this is the LAPACK page where SSPEVX lives, and itβs about to be your new fave for selected eigenvalues/eigenvectors of a real symmetric matrix in packed storage. No cap. β¨
π NAME π
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/sspevx.f β literally the source file path this page is for. Thatβs the name section, and yes itβs giving βsource file realnessβ. π
β¨ SYNOPSIS β¨
π Functions/Subroutines π
subroutine SSPEVX (jobz, range, uplo, n, ap, vl, vu, il, iu, abstol, m, w, z, ldz, work, iwork, ifail, info)β SSPEVX computes the eigenvalues and, optionally, the left and/or right eigenvectors for OTHER matrices.
subroutine SSPEVX (jobz, range, uplo, n, ap, vl, vu, il, iu, abstol, m,
w, z, ldz, work, iwork, ifail, info)
π«Ά Function/Subroutine Documentation π«Ά
okay so hereβs the full function/subroutine doc, bestie π
subroutine SSPEVX (character jobz, character range, character uplo, integer
n, real, dimension( * ) ap, real vl, real vu, integer il, integer iu,
real abstol, integer m, real, dimension( * ) w, real, dimension( ldz, *
) z, integer ldz, real, dimension( * ) work, integer, dimension( * )
iwork, integer, dimension( * ) ifail, integer info)
SSPEVX computes the eigenvalues and, optionally, the left and/or right eigenvectors for OTHER matrices. π«
π Purpose π
The doc comment says: SSPEVX computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix A in packed storage. Eigenvalues/vectors can be selected by specifying either a range of values or a range of indices for the desired eigenvalues. Periodt. π
π Parameters π
JOBZ
JOBZ is CHARACTER*1.
= 'N': Compute eigenvalues only;= 'V': Compute eigenvalues and eigenvectors.
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': theIL-th throughIU-th eigenvalues will be found.
UPLO
UPLO is CHARACTER*1.
= 'U': Upper triangle ofAis stored;= 'L': Lower triangle ofAis stored.
N
N is INTEGER. The order of the matrix A. N >= 0.
AP
AP is REAL array, dimension (N*(N+1)/2).
On entry, the upper or lower triangle of the symmetric matrix A, packed columnwise in a linear array. The j-th column of A is stored in the array AP as follows:
- if
UPLO = 'U',AP(i + (j-1)*j/2) = A(i,j)for1<=i<=j; - if
UPLO = 'L',AP(i + (j-1)*(2*n-j)/2) = A(i,j)forj<=i<=n.
On exit, AP is overwritten by values generated during the reduction to tridiagonal form. If UPLO = 'U', the diagonal and first superdiagonal of the tridiagonal matrix T overwrite the corresponding elements of A, and if UPLO = 'L', the diagonal and first subdiagonal of T overwrite the corresponding elements of A. π
VL
VL is REAL. If RANGE='V', the lower bound of the interval to be searched for eigenvalues. VL < VU. Not referenced if RANGE = 'A' or 'I'.
VU
VU is REAL. If RANGE='V', the upper bound of the interval to be searched for eigenvalues. VL < VU. Not referenced if RANGE = 'A' or 'I'.
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'.
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'.
ABSTOL
ABSTOL is REAL. 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 AP to tridiagonal form.
Eigenvalues will be computed most accurately when ABSTOL is set to twice the underflow threshold 2*SLAMCH('S'), not zero. If this routine returns with INFO>0, indicating that some eigenvectors did not converge, try setting ABSTOL to 2*SLAMCH('S').
Thereβs also a reference line that literally says: See by Demmel and Kahan, LAPACK Working Note #3. π
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.
W
W is REAL array, dimension (N). If INFO = 0, the selected eigenvalues in ascending order.
Z
Z is REAL 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 leastmax(1,M)columns are supplied in the arrayZ; ifRANGE = 'V', the exact value ofMis not known in advance and an upper bound must be used. π«‘
LDZ
LDZ is INTEGER. The leading dimension of the array Z. LDZ >= 1, and if JOBZ = 'V', LDZ >= max(1,N).
WORK
WORK is REAL array, dimension (8*N).
IWORK
IWORK is INTEGER array, dimension (5*N).
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.
INFO
INFO is INTEGER.
= 0: successful exit< 0: ifINFO = -i, the i-th argument had an illegal value> 0: ifINFO = i, then i eigenvectors failed to converge. Their indices are stored in arrayIFAIL.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 231 of file sspevx.f.
π Author π
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