CGGHRD(3)
π CGGHRD(3) π
Okay so bestie, this is from the LAPACK Library Functions Manual, and it's giving very "complex matrices going to Hessenberg form" main character energy. Let's get into it β¨
πΈ NAME πΈ
The source file path, character-for-character, no cap:
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/cgghrd.f
π¦ SYNOPSIS π¦
β¨ Functions/Subroutines β¨
subroutine CGGHRD (compq, compz, n, ilo, ihi, a, lda, b, ldb, q, ldq, z,
ldz, info)
CGGHRD
π Function/Subroutine Documentation π
subroutine CGGHRD (character compq, character compz, integer n, integer ilo,
integer ihi, complex, dimension( lda, * ) a, integer lda, complex,
dimension( ldb, * ) b, integer ldb, complex, dimension( ldq, * ) q,
integer ldq, complex, dimension( ldz, * ) z, integer ldz, integer info)
CGGHRD
π― Purpose
So CGGHRD reduces a pair of complex matrices (A,B) to generalized upper Hessenberg form using unitary 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 unitary matrix Q to the left side of the equation.
This subroutine simultaneously reduces A to a Hessenberg matrix H:
Q**H*A*Z = H
and transforms B to another upper triangular matrix T:
Q**H*B*Z = T
in order to reduce the problem to its standard form
H*y = lambda*T*y
where y = Z**H*x.
The unitary 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**H = (Q1*Q) * H * (Z1*Z)**H
Q1 * B * Z1**H = (Q1*Q) * T * (Z1*Z)**H
If Q1 is the unitary matrix from the QR factorization of B in the original equation A*x = lambda*B*x, then CGGHRD reduces the original problem to generalized Hessenberg form. Periodt π
π Parameters
COMPQ
COMPQ is CHARACTER*1.
= 'N': do not compute Q;= 'I': Q is initialized to the unit matrix, and the unitary matrix Q is returned;= 'V': Q must contain a unitary matrix Q1 on entry, and the product Q1*Q is returned.
COMPZ
COMPZ is CHARACTER*1.
= 'N': do not compute Z;= 'I': Z is initialized to the unit matrix, and the unitary matrix Z is returned;= 'V': Z must contain a unitary matrix Z1 on entry, and the product Z1*Z is returned.
N
N is INTEGER.
The order of the matrices A and B. N >= 0.
ILO
ILO is INTEGER.
IHI
IHI is INTEGER.
ILO and IHI mark the rows and columns of A which are to be reduced. It is assumed that A is already upper triangular in rows and columns 1:ILO-1 and IHI+1:N. ILO and IHI are normally set by a previous call to CGGBAL; otherwise they should be set to 1 and N respectively. 1 <= ILO <= IHI <= N, if N > 0; ILO=1 and IHI=0, if N=0.
A
A is COMPLEX array, dimension (LDA, N).
On entry, the N-by-N general matrix to be reduced. On exit, the upper triangle and the first subdiagonal of A are overwritten with the upper Hessenberg matrix H, and the rest is set to zero.
LDA
LDA is INTEGER.
The leading dimension of the array A. LDA >= max(1,N).
B
B is COMPLEX array, dimension (LDB, N).
On entry, the N-by-N upper triangular matrix B. On exit, the upper triangular matrix T = Q**H B Z. The elements below the diagonal are set to zero.
LDB
LDB is INTEGER.
The leading dimension of the array B. LDB >= max(1,N).
Q
Q is COMPLEX array, dimension (LDQ, N).
On entry, if COMPQ = 'V', the unitary matrix Q1, typically from the QR factorization of B. On exit, if COMPQ='I', the unitary matrix Q, and if COMPQ = 'V', the product Q1*Q. Not referenced if COMPQ='N'.
LDQ
LDQ is INTEGER.
The leading dimension of the array Q. LDQ >= N if COMPQ='V' or 'I'; LDQ >= 1 otherwise.
Z
Z is COMPLEX array, dimension (LDZ, N).
On entry, if COMPZ = 'V', the unitary matrix Z1. On exit, if COMPZ='I', the unitary matrix Z, and if COMPZ = 'V', the product Z1*Z. Not referenced if COMPZ='N'.
LDZ
LDZ is INTEGER.
The leading dimension of the array Z. LDZ >= N if COMPZ='V' or 'I'; LDZ >= 1 otherwise.
INFO
INFO is INTEGER.
= 0: successful exit.< 0: if INFO = -i, the i-th argument had an illegal value.
π«Ά Author π«Ά
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Further Details
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 202 of file cgghrd.f.
Author
Generated automatically by Doxygen for LAPACK from the source code.
Footer sign-off, fr fr: LAPACK Version 3.12.0, source /home/abui...RC/cgghrd.f(3) β that's the version and the source/date line from the bottom, bestie πβ¨
π¦ where this page comes from
- opensuse-leap 16.0: lapack-man 3.12.0-160000.2.2 Β· BSD-3-Clause
- opensuse-leap 16.0: lapack-man 3.12.0-160000.2.2 Β· BSD-3-Clause
- opensuse-leap 16.0: lapack-man 3.12.0-160000.2.2 Β· BSD-3-Clause
- opensuse-leap 16.0: lapack-man 3.12.0-160000.2.2 Β· BSD-3-Clause
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash-1017 on : a language model's rewrite of the original, under its terms