zla_porpvgrw - compute the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric or Hermitian positive-definite matrix
DOUBLE PRECISION FUNCTION ZLA_PORPVGRW(UPLO, NCOLS, A, LDA, AF, LDAF, WORK) INTEGER NCOLS, LDA, LDAF DOUBLE COMPLEX A(LDA,*), AF(LDAF,*) DOUBLE PRECISION WORK(*) DOUBLE PRECISION FUNCTION ZLA_PORPVGRW_64(UPLO, NCOLS, A, LDA, AF, LDAF, WORK) INTEGER*8 NCOLS, LDA, LDAF DOUBLE COMPLEX A(LDA,*), AF(LDAF,*) DOUBLE PRECISION WORK(*) F95 INTERFACE REAL(8) FUNCTION LA_PORPVGRW(UPLO, NCOLS, A, LDA, AF, LDAF, WORK) INTEGER :: NCOLS, LDA, LDAF CHARACTER(LEN=1) :: UPLO COMPLEX(8), DIMENSION(:) :: WORK COMPLEX(8), DIMENSION(:,:) :: A, AF REAL(8) FUNCTION LA_PORPVGRW_64(UPLO, NCOLS, A, LDA, AF, LDAF, WORK) INTEGER(8) :: NCOLS, LDA, LDAF CHARACTER(LEN=1) :: UPLO COMPLEX(8), DIMENSION(:) :: WORK COMPLEX(8), DIMENSION(:,:) :: A, AF C INTERFACE #include <sunperf.h> double zla_porpvgrw (char uplo, int ncols, doublecomplex *a, int lda, doublecomplex *af, int ldaf); double zla_porpvgrw_64 (char uplo, long ncols, doublecomplex *a, long lda, doublecomplex *af, long ldaf);
Oracle Solaris Studio Performance Library zla_porpvgrw(3P)
NAME
zla_porpvgrw - compute the reciprocal pivot growth factor
norm(A)/norm(U) for a symmetric or Hermitian positive-definite matrix
SYNOPSIS
DOUBLE PRECISION FUNCTION ZLA_PORPVGRW(UPLO, NCOLS, A, LDA, AF, LDAF,
WORK)
INTEGER NCOLS, LDA, LDAF
DOUBLE COMPLEX A(LDA,*), AF(LDAF,*)
DOUBLE PRECISION WORK(*)
DOUBLE PRECISION FUNCTION ZLA_PORPVGRW_64(UPLO, NCOLS, A, LDA, AF,
LDAF, WORK)
INTEGER*8 NCOLS, LDA, LDAF
DOUBLE COMPLEX A(LDA,*), AF(LDAF,*)
DOUBLE PRECISION WORK(*)
F95 INTERFACE
REAL(8) FUNCTION LA_PORPVGRW(UPLO, NCOLS, A, LDA, AF, LDAF, WORK)
INTEGER :: NCOLS, LDA, LDAF
CHARACTER(LEN=1) :: UPLO
COMPLEX(8), DIMENSION(:) :: WORK
COMPLEX(8), DIMENSION(:,:) :: A, AF
REAL(8) FUNCTION LA_PORPVGRW_64(UPLO, NCOLS, A, LDA, AF, LDAF, WORK)
INTEGER(8) :: NCOLS, LDA, LDAF
CHARACTER(LEN=1) :: UPLO
COMPLEX(8), DIMENSION(:) :: WORK
COMPLEX(8), DIMENSION(:,:) :: A, AF
C INTERFACE
#include <sunperf.h>
double zla_porpvgrw (char uplo, int ncols, doublecomplex *a, int lda,
doublecomplex *af, int ldaf);
double zla_porpvgrw_64 (char uplo, long ncols, doublecomplex *a, long
lda, doublecomplex *af, long ldaf);
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 (equili-
brated) matrix A could be poor. This also means that the solution X,
estimated condition numbers, and error bounds could be unreliable.
ARGUMENTS
UPLO (input)
UPLO is CHARACTER*1
= 'U': Upper triangle of A is stored;
= 'L': Lower triangle of A is stored.
NCOLS (input)
NCOLS is INTEGER
The number of columns of the matrix A. NCOLS >= 0.
A (input)
A is COMPLEX*16 array, dimension (LDA,N)
On entry, the N-by-N matrix A.
LDA (input)
LDA is INTEGER
The leading dimension of the array A. LDA >= max(1,N).
AF (input)
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 (input)
LDAF is INTEGER
The leading dimension of the array AF. LDAF >= max(1,N).
WORK (input)
WORK is COMPLEX*16 array, dimension (2*N)
7 Nov 2015 zla_porpvgrw(3P)