CXML
        	    
LAPACK version 3.0
ctrsna(3)

PURPOSE
  CTRSNA - estimate reciprocal condition numbers for specified eigenvalues
  and/or right eigenvectors of a complex upper triangular matrix T (or of any
  matrix Q*T*Q**H with Q unitary)

SYNTAX
  SUBROUTINE CTRSNA( JOB, HOWMNY, SELECT, N, T, LDT, VL, LDVL, VR, LDVR, S,
		     SEP, MM, M, WORK, LDWORK, RWORK, INFO )

      CHARACTER	     HOWMNY, JOB

      INTEGER	     INFO, LDT, LDVL, LDVR, LDWORK, M, MM, N

      LOGICAL	     SELECT( * )

      REAL	     RWORK( * ), S( * ), SEP( * )

      COMPLEX	     T( LDT, * ), VL( LDVL, * ), VR( LDVR, * ), WORK( LDWORK,
		     * )

DESCRIPTION
  CTRSNA estimates reciprocal condition numbers for specified eigenvalues
  and/or right eigenvectors of a complex upper triangular matrix T (or of any
  matrix Q*T*Q**H with Q unitary).

ARGUMENTS
  JOB	  (input) CHARACTER*1
	  Specifies whether condition numbers are required for eigenvalues
	  (S) or eigenvectors (SEP):
	  = 'E': for eigenvalues only (S);
	  = 'V': for eigenvectors only (SEP);
	  = 'B': for both eigenvalues and eigenvectors (S and SEP).

  HOWMNY  (input) CHARACTER*1
	  = 'A': compute condition numbers for all eigenpairs;
	  = 'S': compute condition numbers for selected eigenpairs specified
	  by the array SELECT.

  SELECT  (input) LOGICAL array, dimension (N)
	  If HOWMNY = 'S', SELECT specifies the eigenpairs for which
	  condition numbers are required. To select condition numbers for the
	  j-th eigenpair, SELECT(j) must be set to .TRUE..  If HOWMNY = 'A',
	  SELECT is not referenced.

  N	  (input) INTEGER
	  The order of the matrix T. N >= 0.

  T	  (input) COMPLEX array, dimension (LDT,N)
	  The upper triangular matrix T.

  LDT	  (input) INTEGER
	  The leading dimension of the array T. LDT >= max(1,N).

  VL	  (input) COMPLEX array, dimension (LDVL,M)
	  If JOB = 'E' or 'B', VL must contain left eigenvectors of T (or of
	  any Q*T*Q**H with Q unitary), corresponding to the eigenpairs
	  specified by HOWMNY and SELECT. The eigenvectors must be stored in
	  consecutive columns of VL, as returned by CHSEIN or CTREVC.  If JOB
	  = 'V', VL is not referenced.

  LDVL	  (input) INTEGER
	  The leading dimension of the array VL.  LDVL >= 1; and if JOB = 'E'
	  or 'B', LDVL >= N.

  VR	  (input) COMPLEX array, dimension (LDVR,M)
	  If JOB = 'E' or 'B', VR must contain right eigenvectors of T (or of
	  any Q*T*Q**H with Q unitary), corresponding to the eigenpairs
	  specified by HOWMNY and SELECT. The eigenvectors must be stored in
	  consecutive columns of VR, as returned by CHSEIN or CTREVC.  If JOB
	  = 'V', VR is not referenced.

  LDVR	  (input) INTEGER
	  The leading dimension of the array VR.  LDVR >= 1; and if JOB = 'E'
	  or 'B', LDVR >= N.

  S	  (output) REAL array, dimension (MM)
	  If JOB = 'E' or 'B', the reciprocal condition numbers of the
	  selected eigenvalues, stored in consecutive elements of the array.
	  Thus S(j), SEP(j), and the j-th columns of VL and VR all correspond
	  to the same eigenpair (but not in general the j-th eigenpair,
	  unless all eigenpairs are selected).	If JOB = 'V', S is not
	  referenced.

  SEP	  (output) REAL array, dimension (MM)
	  If JOB = 'V' or 'B', the estimated reciprocal condition numbers of
	  the selected eigenvectors, stored in consecutive elements of the
	  array.  If JOB = 'E', SEP is not referenced.

  MM	  (input) INTEGER
	  The number of elements in the arrays S (if JOB = 'E' or 'B') and/or
	  SEP (if JOB = 'V' or 'B'). MM >= M.

  M	  (output) INTEGER
	  The number of elements of the arrays S and/or SEP actually used to
	  store the estimated condition numbers.  If HOWMNY = 'A', M is set
	  to N.

  WORK	  (workspace) COMPLEX array, dimension (LDWORK,N+1)
	  If JOB = 'E', WORK is not referenced.

  LDWORK  (input) INTEGER
	  The leading dimension of the array WORK.  LDWORK >= 1; and if JOB =
	  'V' or 'B', LDWORK >= N.

  RWORK	  (workspace) REAL array, dimension (N)
	  If JOB = 'E', RWORK is not referenced.

  INFO	  (output) INTEGER
	  = 0: successful exit
	  < 0: if INFO = -i, the i-th argument had an illegal value

FURTHER DETAILS
  The reciprocal of the condition number of an eigenvalue lambda is defined
  as

	  S(lambda) = |v'*u| / (norm(u)*norm(v))

  where u and v are the right and left eigenvectors of T corresponding to
  lambda; v' denotes the conjugate transpose of v, and norm(u) denotes the
  Euclidean norm. These reciprocal condition numbers always lie between zero
  (very badly conditioned) and one (very well conditioned). If n = 1,
  S(lambda) is defined to be 1.

  An approximate error bound for a computed eigenvalue W(i) is given by

		      EPS * norm(T) / S(i)

  where EPS is the machine precision.

  The reciprocal of the condition number of the right eigenvector u
  corresponding to lambda is defined as follows. Suppose

	      T = ( lambda  c  )
		  (   0	   T22 )

  Then the reciprocal condition number is

	  SEP( lambda, T22 ) = sigma-min( T22 - lambda*I )

  where sigma-min denotes the smallest singular value. We approximate the
  smallest singular value by the reciprocal of an estimate of the one-norm of
  the inverse of T22 - lambda*I. If n = 1, SEP(1) is defined to be
  abs(T(1,1)).

  An approximate error bound for a computed right eigenvector VR(i) is given
  by

		      EPS * norm(T) / SEP(i)