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sla_porpvgrw.f(3) | LAPACK | sla_porpvgrw.f(3) |
NAME¶
sla_porpvgrw.f -SYNOPSIS¶
Functions/Subroutines¶
real function sla_porpvgrw (UPLO, NCOLS, A, LDA, AF, LDAF, WORK)
Function/Subroutine Documentation¶
real function sla_porpvgrw (character*1UPLO, integerNCOLS, real, dimension( lda, * )A, integerLDA, real, dimension( ldaf, * )AF, integerLDAF, real, dimension( * )WORK)¶
SLA_PORPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric or Hermitian positive-definite matrix. Purpose:SLA_PORPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U). The "max absolute element" 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.
UPLO
Author:
UPLO is CHARACTER*1 = 'U': Upper triangle of A is stored; = 'L': Lower triangle of A is stored.NCOLS
NCOLS is INTEGER The number of columns of the matrix A. NCOLS >= 0.A
A is REAL array, dimension (LDA,N) On entry, the N-by-N matrix A.LDA
LDA is INTEGER The leading dimension of the array A. LDA >= max(1,N).AF
AF is REAL array, dimension (LDAF,N) The triangular factor U or L from the Cholesky factorization A = U**T*U or A = L*L**T, as computed by SPOTRF.LDAF
LDAF is INTEGER The leading dimension of the array AF. LDAF >= max(1,N).WORK
WORK is REAL array, dimension (2*N)
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
September 2012
Definition at line 105 of file sla_porpvgrw.f.
Author¶
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