DSBEVX(3)
π DSBEVX(3) β Library Functions Manual π
okay so this is the Library Functions Manual page for DSBEVX(3), the LAPACK routine whose source file is /home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/dsbevx.f. The header path shows up as /home/abui...RC/dsbevx.f(3) β same energy, just abbreviated, bestie.
πΈ NAME πΈ
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/dsbevx.f
β¨ SYNOPSIS β¨
π Functions/Subroutines π
subroutine DSBEVX (jobz, range, uplo, n, kd, ab, ldab, q, ldq, vl, vu,
il, iu, abstol, m, w, z, ldz, work, iwork, ifail, info)
DSBEVX computes the eigenvalues and, optionally, the left and/or right eigenvectors for OTHER matrices.
π Function/Subroutine Documentation π
π subroutine DSBEVX π
subroutine DSBEVX (character jobz, character range, character uplo, integer
n, integer kd, double precision, dimension( ldab, * ) ab, integer ldab,
double precision, dimension( ldq, * ) q, integer ldq, double precision
vl, double precision vu, integer il, integer iu, double precision
abstol, integer m, double precision, dimension( * ) w, double precision,
dimension( ldz, * ) z, integer ldz, double precision, dimension( * )
work, integer, dimension( * ) iwork, integer, dimension( * ) ifail,
integer info)
Bestie, this is the main character: DSBEVX computes the eigenvalues and, optionally, the left and/or right eigenvectors for OTHER matrices.
β¨ Purpose β¨
!>
!> DSBEVX 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.
!>
πΈ Parameters πΈ
JOBZβJOBZ is CHARACTER*1= 'N': Compute eigenvalues only;= 'V': Compute eigenvalues and eigenvectors.
RANGEβRANGE is CHARACTER*1= 'A': all eigenvalues will be found;= 'V': all eigenvalues in the half-open interval (VL,VU] will be found;= 'I': the IL-th through IU-th eigenvalues will be found.
UPLOβUPLO is CHARACTER*1= 'U': Upper triangle of A is stored;= 'L': Lower triangle of A is stored.
NβN is INTEGER. The order of the matrix A.N >= 0.KDβKD is INTEGER. The number of superdiagonals of the matrix A ifUPLO = 'U', or the number of subdiagonals ifUPLO = 'L'.KD >= 0.ABβAB is DOUBLE PRECISION array, dimension (LDAB, N)
On entry, the upper or lower triangle of the symmetric band matrix A, stored in the first KD+1 rows of the array. The j-th column of A is stored in the j-th column of the array AB as 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, and if UPLO = 'L', the diagonal and first subdiagonal of T are returned in the first two rows of AB.
LDABβLDAB is INTEGER. The leading dimension of the array AB.LDAB >= KD + 1.QβQ is DOUBLE PRECISION array, dimension (LDQ, N)
If JOBZ = 'V', the N-by-N orthogonal matrix used in the reduction to tridiagonal form. If JOBZ = 'N', the array Q is not referenced.
LDQβLDQ is INTEGER. The leading dimension of the array Q. IfJOBZ = 'V', thenLDQ >= max(1,N).VLβVL is DOUBLE PRECISION. IfRANGE='V', the lower bound of the interval to be searched for eigenvalues.VL < VU.Not referenced ifRANGE = 'A'or'I'.VUβVU is DOUBLE PRECISION. IfRANGE='V', the upper bound of the interval to be searched for eigenvalues.VL < VU.Not referenced ifRANGE = 'A'or'I'.ILβIL is INTEGER. IfRANGE='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 ifRANGE = 'A'or'V'.IUβIU is INTEGER. IfRANGE='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 ifRANGE = 'A'or'V'.ABSTOLβABSTOL is DOUBLE PRECISION. 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*DLAMCH('S'), not zero. If this routine returns with INFO>0, indicating that some eigenvectors did not converge, try setting ABSTOL to 2*DLAMCH('S').
See by Demmel and Kahan, LAPACK Working Note #3.
MβM is INTEGER. The total number of eigenvalues found.0 <= M <= N.IfRANGE = 'A',M = N, and ifRANGE = 'I',M = IU-IL+1.WβW is DOUBLE PRECISION array, dimension (N). The firstMelements contain the selected eigenvalues in ascending order.ZβZ is DOUBLE PRECISION 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 least max(1,M) columns are supplied in the array Z; if RANGE = 'V', the exact value of M is not known in advance and an upper bound must be used.
LDZβLDZ is INTEGER. The leading dimension of the array Z.LDZ >= 1, and ifJOBZ = 'V',LDZ >= max(1,N).WORKβWORK is DOUBLE PRECISION array, dimension (7*N)IWORKβIWORK is INTEGER array, dimension (5*N)IFAILβIFAIL 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.
INFOβINFO is INTEGER= 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.
Definition at line 262 of file dsbevx.f.
π¦ Author π¦
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