SRC/sla_syrpvgrw.f(3)
SRC/sla_syrpvgrw.f π
okay so this page is from the Library Functions Manual, and it's giving βsmall Fortran routine, serious linear algebra businessβ energy. Let's go, bestie. π«Ά
π NAME π
SRC/sla_syrpvgrw.f
β¨ SYNOPSIS β¨
Functions/Subroutines
real function sla_syrpvgrw (uplo, n, info, a, lda, af, ldaf, ipiv, work)
SLA_SYRPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric indefinite matrix. slay. β¨
π Function/Subroutine Documentation π
Full signature, character for character, no cap:
real function sla_syrpvgrw (character*1 uplo, integer n, integer info, real,
dimension( lda, * ) a, integer lda, real, dimension( ldaf, * ) af,
integer ldaf, integer, dimension( * ) ipiv, real, dimension( * ) work)
SLA_SYRPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric indefinite matrix.
Purpose
okay so the purpose block is basically a vibe check on your factorization. It says: SLA_SYRPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U). The norm is used. (Yes, there are two spaces there in the source β I'm not fixing it, I'm respecting the lore. π) 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.
Parameters
UPLOβCHARACTER*1:= 'U':Upper triangle of A is stored;= 'L':Lower triangle of A is stored.
NβINTEGER. The number of linear equations, i.e., the order of the matrix A.N >= 0.INFOβINTEGER. The value ofINFOreturned fromSSYTRF,.i.e., the pivot in columnINFOis exactly 0.AβREALarray, dimension(LDA,N). On entry, theN-by-NmatrixA.LDAβINTEGER. The leading dimension of the arrayA.LDA >= max(1,N).AFβREALarray, dimension(LDAF,N). The block diagonal matrixDand the multipliers used to obtain the factorUorLas computed bySSYTRF.LDAFβINTEGER. The leading dimension of the arrayAF.LDAF >= max(1,N).IPIVβINTEGERarray, dimension(N). Details of the interchanges and the block structure ofDas determined bySSYTRF.WORKβREALarray, dimension(2*N).
Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 120 of file sla_syrpvgrw.f.
Author
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