/home/abui...lasyf_rk.f(3)
π NAME π
ok so this is /home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/slasyf_rk.f β it's a man page from the Library Functions Manual, bestie, and it's literally about LAPACK's SLASYF_RK. buckle up π«Ά
β¨ SYNOPSIS β¨
Functions/Subroutines
subroutine SLASYF_RK (uplo, n, nb, kb, a, lda, e, ipiv, w, ldw, info)β SLASYF_RK computes a partial factorization of a real symmetric indefinite matrix using bounded Bunch-Kaufman (rook) diagonal pivoting method.
π Function/Subroutine Documentation π
subroutine SLASYF_RK (character uplo, integer n, integer nb, integer kb,
real, dimension( lda, * ) a, integer lda, real, dimension( * ) e,
integer, dimension( * ) ipiv, real, dimension( ldw, * ) w, integer ldw,
integer info)
SLASYF_RK computes a partial factorization of a real symmetric indefinite matrix using bounded Bunch-Kaufman (rook) diagonal pivoting method. no cap, that's the whole vibe π
Purpose
SLASYF_RK computes a partial factorization of a real symmetric matrix A using the bounded Bunch-Kaufman (rook) 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.
SLASYF_RK is an auxiliary routine called by SSYTRF_RK. It uses blocked code (calling Level 3 BLAS) to update the submatrix A11 (if UPLO = 'U') or A22 (if UPLO = 'L').
Parameters
UPLO πΈ
UPLOisCHARACTER*1Specifies whether the upper or lower triangular part of the symmetric matrix A is stored: ='U': Upper triangular ='L': Lower triangular
N π¦
NisINTEGERThe order of the matrix A.N >= 0.
NB β¨
NBisINTEGERThe 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.
KB π
KBisINTEGERThe number of columns of A that were actually factored. KB is either NB-1 or NB, or N if N <= NB.
A π
AisREALarray, dimension(LDA,N)On entry, 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, contains: a) ONLY diagonal elements of the symmetric block diagonal matrix D on the diagonal of A, i.e.D(k,k) = A(k,k); (superdiagonal (or subdiagonal) elements of D are stored on exit in array E), and b) If UPLO ='U': factor U in the superdiagonal part of A. If UPLO ='L': factor L in the subdiagonal part of A.
LDA π₯
LDAisINTEGERThe leading dimension of the array A.LDA >= max(1,N).
E π
EisREALarray, dimension(N)On exit, contains the superdiagonal (or subdiagonal) elements of the symmetric block diagonal matrix D with 1-by-1 or 2-by-2 diagonal blocks, where If UPLO ='U':E(i) = D(i-1,i),i=2:N,E(1)is set to 0; If UPLO ='L':E(i) = D(i+1,i),i=1:N-1,E(N)is set to 0. NOTE: For 1-by-1 diagonal blockD(k), where1 <= k <= N, the elementE(k)is set to 0 in both UPLO ='U'or UPLO ='L'cases.
IPIV π
IPIVisINTEGERarray, dimension(N)IPIV describes the permutation matrix P in the factorization of matrix A as follows. The absolute value ofIPIV(k)represents the index of row and column that were interchanged with the k-th row and column. The value of UPLO describes the order in which the interchanges were applied. Also, the sign of IPIV represents the block structure of the symmetric block diagonal matrix D with 1-by-1 or 2-by-2 diagonal blocks which correspond to 1 or 2 interchanges at each factorization step.
ok this next bit is the whole personality of the routine, so like, pay attention bestie π
If UPLO ='U', ( in factorization order, k decreases from N to 1 ): a) A single positive entryIPIV(k) > 0means:D(k,k)is a 1-by-1 diagonal block. IfIPIV(k) != k, rows and columns k andIPIV(k)were interchanged in the submatrixA(1:N,N-KB+1:N); IfIPIV(k) = k, no interchange occurred. b) A pair of consecutive negative entriesIPIV(k) < 0andIPIV(k-1) < 0means:D(k-1:k,k-1:k)is a 2-by-2 diagonal block. (NOTE: negative entries in IPIV appear ONLY in pairs). 1) If-IPIV(k) != k, rows and columns k and-IPIV(k)were interchanged in the matrixA(1:N,N-KB+1:N). If-IPIV(k) = k, no interchange occurred. 2) If-IPIV(k-1) != k-1, rows and columns k-1 and-IPIV(k-1)were interchanged in the submatrixA(1:N,N-KB+1:N). If-IPIV(k-1) = k-1, no interchange occurred. c) In both cases a) and b) is alwaysABS( IPIV(k) ) <= k. d) NOTE: Any entryIPIV(k)is always NONZERO on output.
If UPLO ='L', ( in factorization order, k increases from 1 to N ): a) A single positive entryIPIV(k) > 0means:D(k,k)is a 1-by-1 diagonal block. IfIPIV(k) != k, rows and columns k andIPIV(k)were interchanged in the submatrixA(1:N,1:KB). IfIPIV(k) = k, no interchange occurred. b) A pair of consecutive negative entriesIPIV(k) < 0andIPIV(k+1) < 0means:D(k:k+1,k:k+1)is a 2-by-2 diagonal block. (NOTE: negative entries in IPIV appear ONLY in pairs). 1) If-IPIV(k) != k, rows and columns k and-IPIV(k)were interchanged in the submatrixA(1:N,1:KB). If-IPIV(k) = k, no interchange occurred. 2) If-IPIV(k+1) != k+1, rows and columns k-1 and-IPIV(k-1)were interchanged in the submatrixA(1:N,1:KB). If-IPIV(k+1) = k+1, no interchange occurred. c) In both cases a) and b) is alwaysABS( IPIV(k) ) >= k. d) NOTE: Any entryIPIV(k)is always NONZERO on output.
(yes the original really says k-1 and IPIV(k-1) in that L-case 2) line β copying it exactly, not my fault, don't come for me π)
W π
WisREALarray, dimension(LDW,NB)
LDW π
LDWisINTEGERThe leading dimension of the array W.LDW >= max(1,N).
INFO β
INFOisINTEGER= 0: successful exit < 0: IfINFO = -k, the k-th argument had an illegal value > 0: IfINFO = k, the matrix A is singular, because: If UPLO ='U': column k in the upper triangular part of A contains all zeros. If UPLO ='L': column k in the lower triangular part of A contains all zeros. ThereforeD(k,k)is exactly zero, and superdiagonal elements of column k of U (or subdiagonal elements of column k of L ) are all zeros. The factorization has been completed, but the block diagonal matrix D is exactly singular, and division by zero will occur if it is used to solve a system of equations. NOTE: INFO only stores the first occurrence of a singularity, any subsequent occurrence of singularity is not stored in INFO even though the factorization always completes.
Author π«Ά
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Contributors π«
December 2016, Igor Kozachenko, Computer Science Division, University of California, Berkeley
September 2007, Sven Hammarling, Nicholas J. Higham, Craig Lucas, School of Mathematics, University of Manchester
Definition at line 260 of file slasyf_rk.f.
π Author π
Generated automatically by Doxygen for LAPACK from the source code. (not a person, just a robot doing its lil thing π€β¨)
ok that's the whole thing!! LAPACK β Version 3.12.0 β /home/abui...lasyf_rk.f(3) β mwah, bye bestie, go factor some symmetric indefinite matrices πππ¦
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