SRC/dla_gerpvgrw.f(3)
π SRC/dla_gerpvgrw.f(3) π
okay so this is the SRC/dla_gerpvgrw.f(3) page from the Library Functions Manual, and bestie we are talking about DLA_GERPVGRW β yes, the double precision function itself. It's giving "I compute a reciprocal pivot growth factor" and honestly? iconic. π«Ά
πΈ NAME πΈ
SRC/dla_gerpvgrw.f
β¨ SYNOPSIS β¨
π§ Functions/Subroutines π§
double precision function dla_gerpvgrw (n, ncols, a, lda, af, ldaf)
DLA_GERPVGRW
That's the function vibe check: dla_gerpvgrw takes n, ncols, a, lda, af, and ldaf, and it returns a double precision result. π
π¦ Function/Subroutine Documentation π¦
double precision function dla_gerpvgrw (integer n, integer ncols, double
precision, dimension( lda, * ) a, integer lda, double precision,
dimension( ldaf, * ) af, integer ldaf)
DLA_GERPVGRW
okay so here is the full signature with all the types and dimensions laid out β no cap, she's official. β¨
πΈ Purpose πΈ
DLA_GERPVGRW 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.
bestie, that "much less than 1" part is the warning vibe: if the reciprocal pivot growth factor is tiny, the LU factorization stability could be poor, and then X, estimated condition numbers, and error bounds could be unreliable. Not me being dramatic β that's literally the page. π
π Parameters π
NβN is INTEGER, and it's the number of linear equations, i.e., the order of the matrixA.N >= 0.NCOLSβNCOLS is INTEGER, the number of columns of the matrixA.NCOLS >= 0.AβA is DOUBLE PRECISION array, dimension (LDA,N). On entry, theN-by-NmatrixA.LDAβLDA is INTEGER, the leading dimension of the arrayA.LDA >= max(1,N).AFβAF is DOUBLE PRECISION array, dimension (LDAF,N). The factorsLandUfrom the factorizationA = P*L*Uas computed byDGETRF.LDAFβLDAF is INTEGER, the leading dimension of the arrayAF.LDAF >= max(1,N).
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 98 of file dla_gerpvgrw.f.
π Author π
Generated automatically by Doxygen for LAPACK from the source code.
okay bye bestie β this page is SRC/dla_gerpvgrw.f(3) from LAPACK, Version 3.12.0. That's the cute sign-off, and yes, she ate. π
β¨
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