SSBEVX(3)
π SSBEVX(3) β Library Functions Manual π
okay so bestie, this is the ssbevx.f(3) page from the Library Functions Manual β header path says /home/abui...RC/ssbevx.f(3) β and itβs here to break down SSBEVX like weβre in the group chat. π
πΈ NAME πΈ
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/ssbevx.f β yep, thatβs the file this page is about, no cap.
π¦ SYNOPSIS π¦
β¨ Functions/Subroutines β¨
subroutine SSBEVX (jobz, range, uplo, n, kd, ab, ldab, q, ldq, vl, vu,
il, iu, abstol, m, w, z, ldz, work, iwork, ifail, info)
SSBEVX computes the eigenvalues and, optionally, the left and/or
right eigenvectors for OTHER matrices
π¦ Function/Subroutine Documentation π¦
subroutine SSBEVX (character jobz, character range, character uplo, integer
n, integer kd, real, dimension( ldab, * ) ab, integer ldab, real,
dimension( ldq, * ) q, integer ldq, 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)
SSBEVX computes the eigenvalues and, optionally, the left and/or right
eigenvectors for OTHER matrices
β¨ Purpose β¨
SSBEVX computes selected eigenvalues and, optionally, eigenvectors of a real symmetric band matrix A. Eigenvalues and eigenvectors can be selected by specifying either a range of values or a range of indices for the desired eigenvalues. iconic behavior, honestly β¨
π Parameters π
JOBZβJOBZisCHARACTER*1.= 'N': Compute eigenvalues only;= 'V': Compute eigenvalues and eigenvectors.
RANGEβRANGEisCHARACTER*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.
UPLOβUPLOisCHARACTER*1.= 'U': Upper triangle ofAis stored;= 'L': Lower triangle ofAis stored.
NβNisINTEGER. The order of the matrixA.N >= 0.KDβKDisINTEGER. The number of superdiagonals of the matrixAifUPLO = 'U', or the number of subdiagonals ifUPLO = 'L'.KD >= 0.ABβABisREAL array, dimension (LDAB, N). On entry, it holds the upper or lower triangle of the symmetric band matrixA, stored in the firstKD+1rows of the array. Thej-th column ofAis stored in thej-th column of the arrayABas follows:
if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+kd).
On exit, AB is overwritten by values generated during the reduction to tridiagonal form. If UPLO = 'U', the first superdiagonal and the diagonal of the tridiagonal matrix T are returned in rows KD and KD+1 of AB; if UPLO = 'L', the diagonal and first subdiagonal of T are returned in the first two rows of AB.
LDABβLDABisINTEGER. The leading dimension of the arrayAB.LDAB >= KD + 1.QβQisREAL array, dimension (LDQ, N). IfJOBZ = 'V', this is theN-by-Northogonal matrix used in the reduction to tridiagonal form. IfJOBZ = 'N', the arrayQis not referenced.LDQβLDQisINTEGER. The leading dimension of the arrayQ. IfJOBZ = 'V', thenLDQ >= max(1,N).VLβVLisREAL. IfRANGE='V', the lower bound of the interval to be searched for eigenvalues.VL < VU. Not referenced ifRANGE = 'A'or'I'.VUβVUisREAL. IfRANGE='V', the upper bound of the interval to be searched for eigenvalues.VL < VU. Not referenced ifRANGE = 'A'or'I'.ILβILisINTEGER. IfRANGE='I', the index of the smallest eigenvalue to be returned.1 <= IL <= IU <= N, ifN > 0;IL = 1andIU = 0ifN = 0. Not referenced ifRANGE = 'A'or'V'.IUβIUisINTEGER. IfRANGE='I', the index of the largest eigenvalue to be returned.1 <= IL <= IU <= N, ifN > 0;IL = 1andIU = 0ifN = 0. Not referenced ifRANGE = 'A'or'V'.ABSTOLβABSTOLisREAL. 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 AB 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').
See by Demmel and Kahan, LAPACK Working Note #3.
MβMisINTEGER. The total number of eigenvalues found.0 <= M <= N. IfRANGE = 'A',M = N, and ifRANGE = 'I',M = IU-IL+1.WβWisREAL array, dimension (N). The firstMelements contain the selected eigenvalues in ascending order.ZβZisREAL array, dimension (LDZ, max(1,M)). IfJOBZ = 'V', then ifINFO = 0, the firstMcolumns ofZcontain the orthonormal eigenvectors of the matrixAcorresponding to the selected eigenvalues, with thei-th column ofZholding the eigenvector associated withW(i). If an eigenvector fails to converge, then that column ofZcontains the latest approximation to the eigenvector, and the index of the eigenvector is returned inIFAIL. IfJOBZ = 'N', thenZis 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. this is the βbring enough snacksβ of array sizing, bestie π
LDZβLDZisINTEGER. The leading dimension of the arrayZ.LDZ >= 1, and ifJOBZ = 'V',LDZ >= max(1,N).WORKβWORKisREAL array, dimension (7*N).IWORKβIWORKisINTEGER array, dimension (5*N).IFAILβIFAILisINTEGER array, dimension (N). IfJOBZ = 'V', then ifINFO = 0, the firstMelements ofIFAILare zero. IfINFO > 0, thenIFAILcontains the indices of the eigenvectors that failed to converge. IfJOBZ = 'N', thenIFAILis not referenced.INFOβINFOisINTEGER.
= 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.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Definition at line 262 of file ssbevx.f. π
Definition at line 262 of file ssbevx.f.
π Author π
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