!>
!> ZGET22 does an eigenvector check.
!>
!> The basic test is:
!>
!>    RESULT(1) = | A E  -  E W | / ( |A| |E| ulp )
!>
!> using the 1-norm.  It also tests the normalization of E:
!>
!>    RESULT(2) = max | m-norm(E(j)) - 1 | / ( n ulp )
!>                 j
!>
!> where E(j) is the j-th eigenvector, and m-norm is the max-norm of a
!> vector.  The max-norm of a complex n-vector x in this case is the
!> maximum of |re(x(i)| + |im(x(i)| over i = 1, ..., n.
!> 

TRANSA

!>          TRANSA is CHARACTER*1
!>          Specifies whether or not A is transposed.
!>          = 'N':  No transpose
!>          = 'T':  Transpose
!>          = 'C':  Conjugate transpose
!> 

TRANSE

!>          TRANSE is CHARACTER*1
!>          Specifies whether or not E is transposed.
!>          = 'N':  No transpose, eigenvectors are in columns of E
!>          = 'T':  Transpose, eigenvectors are in rows of E
!>          = 'C':  Conjugate transpose, eigenvectors are in rows of E
!> 

TRANSW

!>          TRANSW is CHARACTER*1
!>          Specifies whether or not W is transposed.
!>          = 'N':  No transpose
!>          = 'T':  Transpose, same as TRANSW = 'N'
!>          = 'C':  Conjugate transpose, use -WI(j) instead of WI(j)
!> 

N

!>          N is INTEGER
!>          The order of the matrix A.  N >= 0.
!> 

A

!>          A is COMPLEX*16 array, dimension (LDA,N)
!>          The matrix whose eigenvectors are in E.
!> 

LDA

!>          LDA is INTEGER
!>          The leading dimension of the array A.  LDA >= max(1,N).
!> 

E

!>          E is COMPLEX*16 array, dimension (LDE,N)
!>          The matrix of eigenvectors. If TRANSE = 'N', the eigenvectors
!>          are stored in the columns of E, if TRANSE = 'T' or 'C', the
!>          eigenvectors are stored in the rows of E.
!> 

LDE

!>          LDE is INTEGER
!>          The leading dimension of the array E.  LDE >= max(1,N).
!> 

W

!>          W is COMPLEX*16 array, dimension (N)
!>          The eigenvalues of A.
!> 

WORK

!>          WORK is COMPLEX*16 array, dimension (N*N)
!> 

RWORK

!>          RWORK is DOUBLE PRECISION array, dimension (N)
!> 

RESULT

!>          RESULT is DOUBLE PRECISION array, dimension (2)
!>          RESULT(1) = | A E  -  E W | / ( |A| |E| ulp )
!>          RESULT(2) = max | m-norm(E(j)) - 1 | / ( n ulp )
!>                       j
!> 

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