SRC/zla_syrpvgrw.f(3)
π SRC/zla_syrpvgrw.f π
okay so this is a page from the LAPACK manual β Library Functions Manual energy, we love her β and today's main character is SRC/zla_syrpvgrw.f, bestie. she's a Fortran file, she's lowkey iconic, and she does exactly one (1) thing but she does it well. let's get into it π«Ά
β¨ SYNOPSIS β¨
π Functions/Subroutines
double precision function zla_syrpvgrw (uplo, n, info, a, lda, af, ldaf,
ipiv, work)
ZLA_SYRPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric indefinite matrix. that's the whole vibe. no cap. π
πΈ Function/Subroutine Documentation πΈ
double precision function zla_syrpvgrw (character*1 uplo, integer n, integer
info, complex*16, dimension( lda, * ) a, integer lda, complex*16,
dimension( ldaf, * ) af, integer ldaf, integer, dimension( * ) ipiv,
double precision, dimension( * ) work)
ZLA_SYRPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric indefinite matrix. yes she's a double precision function, yes she takes nine arguments, yes she ate π₯
π¦ Purpose
!> !> ZLA_SYRPVGRW computes the reciprocal pivot growth factor !> norm(A)/norm(U). The norm is used. If this is !> much less than 1, the stability of the LU factorization of the !> (equilibrated) matrix A could be poor. This also means that the !> solution X, estimated condition numbers, and error bounds could be !> unreliable. !>
translating from manpage-speak: if this number comes back way less than 1, the stability of the LU factorization of the (equilibrated) matrix A could be poor π and that means your solution X, your estimated condition numbers, and your error bounds could all be unreliable. so likeβ¦ vibe check your factorization, honestly. π©·
(also yes, The norm is used. has a lil double space in it β that's literally how the source has it, i'm not touching it. π)
π Parameters
UPLOβUPLO is CHARACTER*1= 'U': Upper triangle of A is stored;= 'L': Lower triangle of A is stored.
NβN is INTEGER. The number of linear equations, i.e., the order of the matrix A.N >= 0.INFOβINFO is INTEGER. The value of INFO returned from ZSYTRF, .i.e., the pivot in column INFO is exactly 0.AβA is COMPLEX*16 array, dimension (LDA,N). On entry, the N-by-N matrix A.LDAβLDA is INTEGER. The leading dimension of the array A.LDA >= max(1,N).AFβAF is COMPLEX*16 array, dimension (LDAF,N). The block diagonal matrix D and the multipliers used to obtain the factor U or L as computed by ZSYTRF.LDAFβLDAF is INTEGER. The leading dimension of the array AF.LDAF >= max(1,N).IPIVβIPIV is INTEGER array, dimension (N). Details of the interchanges and the block structure of D as determined by ZSYTRF.WORKβWORK is DOUBLE PRECISION array, dimension (2*N).
(yeah WORK gets literally no extra commentary, she's just out here doing her job. respect. β)
π Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π§ Definition
Definition at line 121 of file zla_syrpvgrw.f.
π Author (again, but the meta one)
Generated automatically by Doxygen for LAPACK from the source code. not me being auto-generated by Doxygen, that's so real of her π
anyway bestie, that's the whole page β no notes, she's perfect. this little cutie is LAPACK Version 3.12.0, dated with love, and pulled straight from SRC/zla_syrpvgrw.f(3). go forth and check your pivot growth factors, ily, bye ππβ¨
π¦ where this page comes from
- arch rolling: lapack-doc 3.12.1-2 Β· custom
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash-1017 on : a language model's rewrite of the original, under its terms