SRC/dla_porpvgrw.f(3)
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NAME π
SRC/dla_porpvgrw.f β thatβs it, thatβs the name, no cap.
SYNOPSIS πΈ
Functions/Subroutines
double precision function dla_porpvgrw (uplo, ncols, a, lda, af, ldaf,
work)
DLA_PORPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric or Hermitian positive-definite matrix.
Function/Subroutine Documentation β¨
double precision function dla_porpvgrw (character*1 uplo, integer ncols,
double precision, dimension( lda, * ) a, integer lda, double precision,
dimension( ldaf, * ) af, integer ldaf, double precision, dimension( * )
work)
DLA_PORPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric or Hermitian positive-definite matrix.
Purpose π―
So the purpose is giving: DLA_PORPVGRW 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. (In the source, these lines are wrapped in !> Doxygen comment markers, iykyk.)
Parameters πΈ
UPLOβCHARACTER*1.= 'U': upper triangle of A is stored;= 'L': lower triangle of A is stored.NCOLSβINTEGER. The number of columns of the matrix A.NCOLS >= 0.AβDOUBLE PRECISION array, dimension (LDA,N). On entry, the N-by-N matrix A.LDAβINTEGER. The leading dimension of the array A.LDA >= max(1,N).AFβDOUBLE PRECISION array, dimension (LDAF,N). The triangular factor U or L from the Cholesky factorizationA = U**T*UorA = L*L**T, as computed byDPOTRF.LDAFβINTEGER. The leading dimension of the array AF.LDAF >= max(1,N).WORKβDOUBLE PRECISION array, dimension (2*N).
Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
Definition at line 104 of file dla_porpvgrw.f.
Author (auto-generated edition) π
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