NAME
sdisna - compute the reciprocal condition numbers for the
eigenvectors of a real symmetric or complex Hermitian matrix
or for the left or right singular vectors of a general m-
by-n matrix
SYNOPSIS
SUBROUTINE SDISNA( JOB, M, N, D, SEP, INFO )
CHARACTER JOB
INTEGER INFO, M, N
REAL D( * ), SEP( * )
#include <sunperf.h>
void sdisna(char job, int m, int n, float *d, float *sep,
int *info) ;
PURPOSE
SDISNA computes the reciprocal condition numbers for the
eigenvectors of a real symmetric or complex Hermitian matrix
or for the left or right singular vectors of a general m-
by-n matrix. The reciprocal condition number is the 'gap'
between the corresponding eigenvalue or singular value and
the nearest other one.
The bound on the error, measured by angle in radians, in the
I-th computed vector is given by
SLAMCH( 'E' ) * ( ANORM / SEP( I ) )
where ANORM = 2-norm(A) = max( abs( D(j) ) ). SEP(I) is not
allowed to be smaller than SLAMCH( 'E' )*ANORM in order to
limit the size of the error bound.
SDISNA may also be used to compute error bounds for eigen-
vectors of the generalized symmetric definite eigenproblem.
ARGUMENTS
JOB (input) CHARACTER*1
Specifies for which problem the reciprocal condi-
tion numbers should be computed:
= 'E': the eigenvectors of a symmetric/Hermitian
matrix;
= 'L': the left singular vectors of a general
matrix;
= 'R': the right singular vectors of a general
matrix.
M (input) INTEGER
The number of rows of the matrix. M >= 0.
N (input) INTEGER
If JOB = 'L' or 'R', the number of columns of the
matrix, in which case N >= 0. Ignored if JOB =
'E'.
D (input) REAL array, dimension (M) if JOB = 'E'
dimension (min(M,N)) if JOB = 'L' or 'R' The
eigenvalues (if JOB = 'E') or singular values (if
JOB = order. If singular values, they must be
non-negative.
SEP (output) REAL array, dimension (M) if JOB = 'E'
dimension (min(M,N)) if JOB = 'L' or 'R' The
reciprocal condition numbers of the vectors.
INFO (output) INTEGER
= 0: successful exit.
< 0: if INFO = -i, the i-th argument had an ille-
gal value.
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