sla_porpvgrw(3) [centos man page]
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) SLA_PORPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric or Hermitian positive-definite matrix. 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. Parameters: UPLO 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) Author: 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 Generated automatically by Doxygen for LAPACK from the source code. Version 3.4.2 Tue Sep 25 2012 sla_porpvgrw.f(3)
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zla_porpvgrw.f(3) LAPACK zla_porpvgrw.f(3) NAME
zla_porpvgrw.f - SYNOPSIS
Functions/Subroutines DOUBLE PRECISION function zla_porpvgrw (UPLO, NCOLS, A, LDA, AF, LDAF, WORK) ZLA_PORPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric or Hermitian positive-definite matrix. Function/Subroutine Documentation DOUBLE PRECISION function zla_porpvgrw (character*1UPLO, integerNCOLS, complex*16, dimension( lda, * )A, integerLDA, complex*16, dimension( ldaf, * )AF, integerLDAF, double precision, dimension( * )WORK) ZLA_PORPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric or Hermitian positive-definite matrix. Purpose: ZLA_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. Parameters: UPLO 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 COMPLEX*16 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 COMPLEX*16 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 ZPOTRF. LDAF LDAF is INTEGER The leading dimension of the array AF. LDAF >= max(1,N). WORK WORK is COMPLEX*16 array, dimension (2*N) Author: Univ. of Tennessee Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd. Date: September 2012 Definition at line 107 of file zla_porpvgrw.f. Author Generated automatically by Doxygen for LAPACK from the source code. Version 3.4.2 Tue Sep 25 2012 zla_porpvgrw.f(3)