SRC/sgghrd.f(3)
okay so this is the SRC/sgghrd.f(3) page from the Library Functions Manual β and it's giving LAPACK realness, bestie. π
We're looking at SGGHRD, a routine that reduces a pair of real matrices (A,B) to generalized upper Hessenberg form. π
π NAME π
SRC/sgghrd.f β that's the file, periodt. This page is all about the SGGHRD subroutine. β¨
β¨ SYNOPSIS β¨
π§ Functions/Subroutines π§
subroutine sgghrd (compq, compz, n, ilo, ihi, a, lda, b, ldb, q, ldq, z,
ldz, info)
SGGHRD
π«Ά Function/Subroutine Documentation π«Ά
Full signature, exactly as it appears, no cap:
subroutine sgghrd (character compq, character compz, integer n, integer ilo,
integer ihi, real, dimension( lda, * ) a, integer lda, real, dimension(
ldb, * ) b, integer ldb, real, dimension( ldq, * ) q, integer ldq, real,
dimension( ldz, * ) z, integer ldz, integer info)
SGGHRD
πΈ Purpose πΈ
SGGHRD reduces a pair of real matrices (A,B) to generalized upper Hessenberg form using orthogonal transformations, where A is a general matrix and B is upper triangular. The form of the generalized eigenvalue problem is:
A*x = lambda*B*x,
and B is typically made upper triangular by computing its QR factorization and moving the orthogonal matrix Q to the left side of the equation.
This subroutine simultaneously reduces A to a Hessenberg matrix H:
Q**T*A*Z = H
and transforms B to another upper triangular matrix T:
Q**T*B*Z = T
in order to reduce the problem to its standard form
H*y = lambda*T*y
where y = Z**T*x.
The orthogonal matrices Q and Z are determined as products of Givens rotations. They may either be formed explicitly, or they may be postmultiplied into input matrices Q1 and Z1, so that
Q1 * A * Z1**T = (Q1*Q) * H * (Z1*Z)**T
Q1 * B * Z1**T = (Q1*Q) * T * (Z1*Z)**T
If Q1 is the orthogonal matrix from the QR factorization of B in the original equation A*x = lambda*B*x, then SGGHRD reduces the original problem to generalized Hessenberg form. π
π Parameters π
COMPQβCOMPQ is CHARACTER*1= 'N': do not compute Q;= 'I': Q is initialized to the unit matrix, and the orthogonal matrix Q is returned;= 'V': Q must contain an orthogonal matrix Q1 on entry, and the product Q1*Q is returned.
COMPZβCOMPZ is CHARACTER*1= 'N': do not compute Z;= 'I': Z is initialized to the unit matrix, and the orthogonal matrix Z is returned;= 'V': Z must contain an orthogonal matrix Z1 on entry, and the product Z1*Z is returned.
NβN is INTEGER. The order of the matricesAandB.N >= 0.ILOβILO is INTEGER.IHIβIHI is INTEGER.ILOandIHImark the rows and columns ofAwhich are to be reduced. It is assumed thatAis already upper triangular in rows and columns1:ILO-1andIHI+1:N.ILOandIHIare normally set by a previous call toSGGBAL; otherwise they should be set to1andNrespectively.1 <= ILO <= IHI <= N, ifN > 0;ILO=1andIHI=0, ifN=0.AβA is REAL array, dimension (LDA, N). On entry, theN-by-Ngeneral matrix to be reduced. On exit, the upper triangle and the first subdiagonal ofAare overwritten with the upper Hessenberg matrixH, and the rest is set to zero.LDAβLDA is INTEGER. The leading dimension of the arrayA.LDA >= max(1,N).BβB is REAL array, dimension (LDB, N). On entry, theN-by-Nupper triangular matrixB. On exit, the upper triangular matrixT = Q**T B Z. The elements below the diagonal are set to zero.LDBβLDB is INTEGER. The leading dimension of the arrayB.LDB >= max(1,N).QβQ is REAL array, dimension (LDQ, N). On entry, ifCOMPQ = 'V', the orthogonal matrixQ1, typically from the QR factorization ofB. On exit, ifCOMPQ='I', the orthogonal matrixQ, and ifCOMPQ = 'V', the productQ1*Q. Not referenced ifCOMPQ='N'.LDQβLDQ is INTEGER. The leading dimension of the arrayQ.LDQ >= NifCOMPQ='V'or'I';LDQ >= 1otherwise.ZβZ is REAL array, dimension (LDZ, N). On entry, ifCOMPZ = 'V', the orthogonal matrixZ1. On exit, ifCOMPZ='I', the orthogonal matrixZ, and ifCOMPZ = 'V', the productZ1*Z. Not referenced ifCOMPZ='N'.LDZβLDZ is INTEGER. The leading dimension of the arrayZ.LDZ >= NifCOMPZ='V'or'I';LDZ >= 1otherwise.INFOβINFO is INTEGER= 0: successful exit.< 0: if INFO = -i, the i-th argument had an illegal value.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π¦ Further Details π¦
This routine reduces A to Hessenberg and B to triangular form by an unblocked reduction, as described in _Matrix_Computations_, by Golub and Van Loan (Johns Hopkins Press.)
Definition at line 205 of file sgghrd.f.
π Author π (auto-generated edition)
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