CHEGVX(3)
π NAME π
okay so this is the LAPACK manual page for chegvx.f(3) β Library Functions Manual, bestie. The header path shows up as /home/abui...RC/chegvx.f(3), and the full source file is /home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/chegvx.f. slay.
β¨ SYNOPSIS β¨
π¦ Functions/Subroutines π¦
subroutine CHEGVX (itype, jobz, range, uplo, n, a, lda, b, ldb, vl, vu,
il, iu, abstol, m, w, z, ldz, work, lwork, rwork, iwork, ifail,
info)
CHEGVX
π Function/Subroutine Documentation π
subroutine CHEGVX (integer itype, character jobz, character range, character
uplo, integer n, complex, dimension( lda, * ) a, integer lda, complex,
dimension( ldb, * ) b, integer ldb, real vl, real vu, integer il,
integer iu, real abstol, integer m, real, dimension( * ) w, complex,
dimension( ldz, * ) z, integer ldz, complex, dimension( * ) work,
integer lwork, real, dimension( * ) rwork, integer, dimension( * )
iwork, integer, dimension( * ) ifail, integer info)
CHEGVX
π Purpose π
okay so CHEGVX computes selected eigenvalues, and optionally eigenvectors, of a complex generalized Hermitian-definite eigenproblem, of the form:
A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x.
Here A and B are assumed to be Hermitian and B is also positive definite. Eigenvalues and eigenvectors can be selected by specifying either a range of values or a range of indices for the desired eigenvalues. iconic behavior tbh π
π§ Parameters π§
ITYPEβ INTEGER. Specifies the problem type to be solved:= 1: A*x = (lambda)*B*x;= 2: A*B*x = (lambda)*x;= 3: B*A*x = (lambda)*x.JOBZβ CHARACTER*1.= 'N': Compute eigenvalues only;= 'V': Compute eigenvalues and eigenvectors.RANGEβ 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.UPLOβ CHARACTER*1.= 'U': Upper triangles of A and B are stored;= 'L': Lower triangles of A and B are stored.Nβ INTEGER. The order of the matricesAandB.N >= 0.Aβ COMPLEX array, dimension(LDA, N). On entry, the Hermitian matrixA. IfUPLO = 'U', the leading N-by-N upper triangular part ofAcontains the upper triangular part of the matrixA. IfUPLO = 'L', the leading N-by-N lower triangular part ofAcontains the lower triangular part of the matrixA. β οΈ On exit, the lower triangle (ifUPLO='L') or the upper triangle (ifUPLO='U') ofA, including the diagonal, is destroyed.LDAβ INTEGER. The leading dimension of the arrayA.LDA >= max(1,N).Bβ COMPLEX array, dimension(LDB, N). On entry, the Hermitian matrixB. IfUPLO = 'U', the leading N-by-N upper triangular part ofBcontains the upper triangular part of the matrixB. IfUPLO = 'L', the leading N-by-N lower triangular part ofBcontains the lower triangular part of the matrixB. On exit, ifINFO <= N, the part ofBcontaining the matrix is overwritten by the triangular factorUorLfrom the Cholesky factorizationB = U**H*UorB = L*L**H.LDBβ INTEGER. The leading dimension of the arrayB.LDB >= max(1,N).VLβ REAL. IfRANGE='V', the lower bound of the interval to be searched for eigenvalues.VL < VU. Not referenced ifRANGE = 'A'or'I'.VUβ REAL. IfRANGE='V', the upper bound of the interval to be searched for eigenvalues.VL < VU. Not referenced ifRANGE = 'A'or'I'.ILβ 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'.IUβ 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'.ABSTOLβ 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 C to tridiagonal form, where C is the symmetric matrix of the standard symmetric problem to which the generalized problem is transformed. 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').
Mβ INTEGER. The total number of eigenvalues found.0 <= M <= N. IfRANGE = 'A',M = N, and ifRANGE = 'I',M = IU-IL+1.Wβ REAL array, dimension(N). The firstMelements contain the selected eigenvalues in ascending order.Zβ COMPLEX array, dimension(LDZ, max(1,M)). IfJOBZ = 'N', thenZis not referenced. IfJOBZ = 'V', then ifINFO = 0, the firstMcolumns ofZcontain the orthonormal eigenvectors of the matrixAcorresponding to the selected eigenvalues, with the i-th column ofZholding the eigenvector associated withW(i). The eigenvectors are normalized as follows: ifITYPE = 1or2,Z**T*B*Z = I; ifITYPE = 3,Z**T*inv(B)*Z = 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. 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.LDZβ INTEGER. The leading dimension of the arrayZ.LDZ >= 1, and ifJOBZ = 'V',LDZ >= max(1,N).WORKβ COMPLEX array, dimension(MAX(1,LWORK)). On exit, ifINFO = 0,WORK(1)returns the optimalLWORK.LWORKβ INTEGER. The length of the arrayWORK.LWORK >= max(1,2*N). For optimal efficiency,LWORK >= (NB+1)*N, whereNBis the blocksize forCHETRDreturned byILAENV. IfLWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of theWORKarray, returns this value as the first entry of theWORKarray, and no error message related toLWORKis issued byXERBLA.RWORKβ REAL array, dimension(7*N).IWORKβ INTEGER array, dimension(5*N).IFAILβ INTEGER 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.INFOβ INTEGER.= 0: successful exit< 0: if INFO = -i, the i-th argument had an illegal value> 0: CPOTRF or CHEEVX returned an error code:<= N: if INFO = i, CHEEVX failed to converge; i eigenvectors failed to converge. Their indices are stored in array IFAIL.> N: if INFO = N + i, for 1 <= i <= N, then the leading principal minor of order i of B is not positive. The factorization of B could not be completed and no eigenvalues or eigenvectors were computed.
π Author π
- 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
β Definition at line 304 of file chegvx.f. β
Definition at line 304 of file chegvx.f.
π¦ Author π¦
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