-- LAPACK routine (version 3.0) --
             Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,
             Courant Institute, Argonne National Lab, and Rice University
             September 30, 1994
             Purpose
             =======
             
             DDISNA 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
             
             DLAMCH( 'E' ) * ( ANORM / SEP( I ) )
             
             where ANORM = 2-norm(A) = max( abs( D(j) ) ).  SEP(I) is not allowed
             to be smaller than DLAMCH( 'E' )*ANORM in order to limit the size of
             the error bound.
             
             DDISNA may also be used to compute error bounds for eigenvectors of
             the generalized symmetric definite eigenproblem.
             
            
Inheritance Hierarchy Namespace: DotNumerics.LinearAlgebra.CSLapackAssembly: DWSIM.MathOps.DotNumerics (in DWSIM.MathOps.DotNumerics.dll) Version: 1.0.0.0 (1.0.0.0)
SyntaxThe DDISNA type exposes the following members.
Constructors
Methods|   | Name | Description | 
|---|
  | Run | 
             Purpose
             =======
             
             DDISNA 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
             
             DLAMCH( 'E' ) * ( ANORM / SEP( I ) )
             
             where ANORM = 2-norm(A) = max( abs( D(j) ) ).  SEP(I) is not allowed
             to be smaller than DLAMCH( 'E' )*ANORM in order to limit the size of
             the error bound.
             
             DDISNA may also be used to compute error bounds for eigenvectors of
             the generalized symmetric definite eigenproblem.
             
             | 
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