CLASYF(3)
Hii bestie π this is clasyf.f(3), from the Library Functions Manual β and yes, itβs giving main-character LAPACK energy.
π NAME π
Okay so this whole page is about this exact file, no cap:
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/clasyf.f
β¨ SYNOPSIS β¨
Under Functions/Subroutines, weβve got this icon:
subroutine CLASYF (uplo, n, nb, kb, a, lda, ipiv, w, ldw, info)
And the vibe check: CLASYF computes a partial factorization of a complex symmetric matrix using the Bunch-Kaufman diagonal pivoting method. Slay.
π¦ Function/Subroutine Documentation π¦
Hereβs the full signature, exactly as it lives:
subroutine CLASYF (character uplo, integer n, integer nb, integer kb,
complex, dimension( lda, * ) a, integer lda, integer, dimension( * )
ipiv, complex, dimension( ldw, * ) w, integer ldw, integer info)
Again for the people in the back: CLASYF computes a partial factorization of a complex symmetric matrix using the Bunch-Kaufman diagonal pivoting method.
πΈ Purpose πΈ
Bestie, the source-comment block is literally right here β equations and all, kept exact so nothing gets lost:
!> CLASYF computes a partial factorization of a complex symmetric matrix
!> A using the Bunch-Kaufman diagonal pivoting method. The partial
!> factorization has the form:
!>
!> A = ( I U12 ) ( A11 0 ) ( I 0 ) if UPLO = 'U', or:
!> ( 0 U22 ) ( 0 D ) ( U12**T U22**T )
!>
!> A = ( L11 0 ) ( D 0 ) ( L11**T L21**T ) if UPLO = 'L'
!> ( L21 I ) ( 0 A22 ) ( 0 I )
!>
!> where the order of D is at most NB. The actual order is returned in
!> the argument KB, and is either NB or NB-1, or N if N <= NB.
!> Note that U**T denotes the transpose of U.
!>
!> CLASYF is an auxiliary routine called by CSYTRF. It uses blocked code
!> (calling Level 3 BLAS) to update the submatrix A11 (if UPLO = 'U') or
!> A22 (if UPLO = 'L').
!>
So yeah: order of D is at most NB, actual order comes back in KB, and KB is either NB or NB-1, or N if N <= NB. Also U**T means the transpose of U β periodt.
π Parameters π
πΈ UPLO πΈ
UPLO is CHARACTER*1 β it specifies whether the upper or lower triangular part of the symmetric matrix A is stored:
= 'U': Upper triangular= 'L': Lower triangular
π¦ N π¦
N is INTEGER β the order of the matrix A. Constraint: N >= 0.
π NB π
NB is INTEGER β the maximum number of columns of the matrix A that should be factored. NB should be at least 2 to allow for 2-by-2 pivot blocks.
π KB π
KB is INTEGER β the number of columns of A that were actually factored. KB is either NB-1 or NB, or N if N <= NB.
π«Ά A π«Ά
A is COMPLEX array, dimension (LDA,N).
On entry, itβs the symmetric matrix A. If UPLO = 'U', the leading n-by-n upper triangular part of A contains the upper triangular part of the matrix A, and the strictly lower triangular part of A is not referenced. If UPLO = 'L', the leading n-by-n lower triangular part of A contains the lower triangular part of the matrix A, and the strictly upper triangular part of A is not referenced.
On exit, A contains details of the partial factorization.
β¨ LDA β¨
LDA is INTEGER β the leading dimension of the array A. Constraint: LDA >= max(1,N).
π IPIV π
IPIV is INTEGER array, dimension (N) β details of the interchanges and the block structure of D.
If UPLO = 'U':
- Only the last
KBelements ofIPIVare set. - If
IPIV(k) > 0, then rows and columnskandIPIV(k)were interchanged andD(k,k)is a 1-by-1 diagonal block. - If
IPIV(k) = IPIV(k-1) < 0, then rows and columnsk-1and-IPIV(k)were interchanged andD(k-1:k,k-1:k)is a 2-by-2 diagonal block.
If UPLO = 'L':
- Only the first
KBelements ofIPIVare set. - If
IPIV(k) > 0, then rows and columnskandIPIV(k)were interchanged andD(k,k)is a 1-by-1 diagonal block. - If
IPIV(k) = IPIV(k+1) < 0, then rows and columnsk+1and-IPIV(k)were interchanged andD(k:k+1,k:k+1)is a 2-by-2 diagonal block.
π W π
W is COMPLEX array, dimension (LDW,NB).
π§ LDW π§
LDW is INTEGER β the leading dimension of the array W. Constraint: LDW >= max(1,N).
β INFO β
INFO is INTEGER:
= 0: successful exit> 0: ifINFO = k,D(k,k)is exactly zero. The factorization has been completed, but the block diagonal matrix D is exactly singular.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π Contributors: π
- November 2013, Igor Kozachenko, Computer Science Division, University of California, Berkeley
π Definition at line 176 of file clasyf.f.
π Author π
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