ZHBGVD(3)
π NAME π
okay so bestie, this page is zhbgvd.f(3) from the Library Functions Manual, and the NAME section is literally the whole source path: /home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/zhbgvd.f. No cap, that's the name. It's giving "I am a Fortran file and I'm proud." π
β¨ SYNOPSIS β¨
π Functions/Subroutines
The star of the show is ZHBGVD, and here's the short synopsis, exactly:
subroutine ZHBGVD (jobz, uplo, n, ka, kb, ab, ldab, bb, ldbb, w, z, ldz,
work, lwork, rwork, lrwork, iwork, liwork, info)
ZHBGVD β that's the function, periodt. π
π¦ Function/Subroutine Documentation π¦
πΈ subroutine ZHBGVD πΈ
Detailed signature, character for character:
subroutine ZHBGVD (character jobz, character uplo, integer n, integer ka,
integer kb, complex*16, dimension( ldab, * ) ab, integer ldab,
complex*16, dimension( ldbb, * ) bb, integer ldbb, double precision,
dimension( * ) w, complex*16, dimension( ldz, * ) z, integer ldz,
complex*16, dimension( * ) work, integer lwork, double precision,
dimension( * ) rwork, integer lrwork, integer, dimension( * ) iwork,
integer liwork, integer info)
ZHBGVD again, because it's the main character. π«
π Purpose π
ZHBGVD computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite banded eigenproblem, of the form A*x=(lambda)*B*x. Here A and B are assumed to be Hermitian and banded, and B is also positive definite. If eigenvectors are desired, it uses a divide and conquer algorithm. Slay. π₯
π Parameters π
JOBZβJOBZisCHARACTER*1.= 'N': compute eigenvalues only;= 'V': compute eigenvalues and eigenvectors. Choose your fighter, bestie.UPLOβUPLOisCHARACTER*1.= 'U': upper triangles ofAandBare stored;= 'L': lower triangles ofAandBare stored. Pick a side. πNβNisINTEGER. The order of the matricesAandB.N >= 0.KAβKAisINTEGER. The number of superdiagonals of the matrixAifUPLO = 'U', or the number of subdiagonals ifUPLO = 'L'.KA >= 0.KBβKBisINTEGER. The number of superdiagonals of the matrixBifUPLO = 'U', or the number of subdiagonals ifUPLO = 'L'.KB >= 0.ABβABisCOMPLEX*16 array, dimension (LDAB, N). On entry, the upper or lower triangle of the Hermitian band matrixA, stored in the firstka+1rows of the array. Thej-th column ofAis stored in thej-th column of the arrayABas follows:
if UPLO = 'U', AB(ka+1+i-j,j) = A(i,j) for max(1,j-ka)<=i<=j; if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+ka).
On exit, the contents of AB are destroyed. π dramatic but true.
LDABβLDABisINTEGER. The leading dimension of the arrayAB.LDAB >= KA+1.BBβBBisCOMPLEX*16 array, dimension (LDBB, N). On entry, the upper or lower triangle of the Hermitian band matrixB, stored in the firstkb+1rows of the array. Thej-th column ofBis stored in thej-th column of the arrayBBas follows:
if UPLO = 'U', BB(kb+1+i-j,j) = B(i,j) for max(1,j-kb)<=i<=j; if UPLO = 'L', BB(1+i-j,j) = B(i,j) for j<=i<=min(n,j+kb).
On exit, the factor S from the split Cholesky factorization B = S**H*S, as returned by ZPBSTF.
LDBBβLDBBisINTEGER. The leading dimension of the arrayBB.LDBB >= KB+1.WβWisDOUBLE PRECISION array, dimension (N). IfINFO = 0, the eigenvalues in ascending order. Cute. πΈZβZisCOMPLEX*16 array, dimension (LDZ, N). IfJOBZ = 'V', then ifINFO = 0,Zcontains the matrixZof eigenvectors, with thei-th column ofZholding the eigenvector associated withW(i). The eigenvectors are normalized so thatZ**H*B*Z = I. IfJOBZ = 'N', thenZis not referenced. So if you're not using it, it's giving ghost. π«₯LDZβLDZisINTEGER. The leading dimension of the arrayZ.LDZ >= 1, and ifJOBZ = 'V',LDZ >= N.WORKβWORKisCOMPLEX*16 array, dimension (MAX(1,LWORK)). On exit, ifINFO=0,WORK(1)returns the optimalLWORK.LWORKβLWORKisINTEGER. The dimension of the arrayWORK.
If N <= 1, LWORK >= 1. If JOBZ = 'N' and N > 1, LWORK >= N. If JOBZ = 'V' and N > 1, LWORK >= 2*N**2.
If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of the WORK, RWORK and IWORK arrays, returns these values as the first entries of the WORK, RWORK and IWORK arrays, and no error message related to LWORK or LRWORK or LIWORK is issued by XERBLA. Big "trust me, it's a query" energy. β¨
RWORKβRWORKisDOUBLE PRECISION array, dimension (MAX(1,LRWORK)). On exit, ifINFO=0,RWORK(1)returns the optimalLRWORK.LRWORKβLRWORKisINTEGER. The dimension of arrayRWORK.
If N <= 1, LRWORK >= 1. If JOBZ = 'N' and N > 1, LRWORK >= N. If JOBZ = 'V' and N > 1, LRWORK >= 1 + 5*N + 2*N**2.
If LRWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of the WORK, RWORK and IWORK arrays, returns these values as the first entries of the WORK, RWORK and IWORK arrays, and no error message related to LWORK or LRWORK or LIWORK is issued by XERBLA.
IWORKβIWORKisINTEGER array, dimension (MAX(1,LIWORK)). On exit, ifINFO=0,IWORK(1)returns the optimalLIWORK.LIWORKβLIWORKisINTEGER. The dimension of arrayIWORK.
If JOBZ = 'N' or N <= 1, LIWORK >= 1. If JOBZ = 'V' and N > 1, LIWORK >= 3 + 5*N.
If LIWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of the WORK, RWORK and IWORK arrays, returns these values as the first entries of the WORK, RWORK and IWORK arrays, and no error message related to LWORK or LRWORK or LIWORK is issued by XERBLA.
INFOβINFOisINTEGER.
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, and i is:
<= N: the algorithm failed to converge:
i off-diagonal elements of an intermediate
tridiagonal form did not converge to zero;
> N: if INFO = N + i, for 1 <= i <= N, then ZPBSTF
returned INFO = i: B is not positive definite.
The factorization of B could not be completed and
no eigenvalues or eigenvectors were computed.
So yeah: INFO = 0 is the slay, negative is "bad argument," and positive is "convergence or ZPBSTF said B is not positive definite." No cap. π
π«Ά Author π«Ά
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Contributors π
Mark Fahey, Department of Mathematics, Univ. of Kentucky, USA.
π₯ Definition at line 243 of file zhbgvd.f. π₯
π¦ Author π¦
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