sdisna(3)

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( * )

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 ma
trix. 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 ma
trix;
= '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 re
ciprocal condition numbers of the vectors.
INFO (output) INTEGER
= 0: successful exit.
< 0: if INFO = -i, the i-th argument had an ille
gal value.
LAPACK version 3.0 15 June 2000
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