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CHSEIN(1)		 LAPACK routine (version 3.2)		     CHSEIN(1)

NAME
       CHSEIN  -  uses	inverse	 iteration to find specified right and/or left
       eigenvectors of a complex upper Hessenberg matrix H

SYNOPSIS
       SUBROUTINE CHSEIN( SIDE, EIGSRC, INITV, SELECT, N, H, LDH, W, VL, LDVL,
			  VR, LDVR, MM, M, WORK, RWORK, IFAILL, IFAILR, INFO )

	   CHARACTER	  EIGSRC, INITV, SIDE

	   INTEGER	  INFO, LDH, LDVL, LDVR, M, MM, N

	   LOGICAL	  SELECT( * )

	   INTEGER	  IFAILL( * ), IFAILR( * )

	   REAL		  RWORK( * )

	   COMPLEX	  H(  LDH,  * ), VL( LDVL, * ), VR( LDVR, * ), W( * ),
			  WORK( * )

PURPOSE
       CHSEIN uses inverse iteration  to  find	specified  right  and/or  left
       eigenvectors  of a complex upper Hessenberg matrix H.  The right eigen‐
       vector x and the left eigenvector y of the matrix H corresponding to an
       eigenvalue w are defined by:
		    H * x = w * x,     y**h * H = w * y**h
       where y**h denotes the conjugate transpose of the vector y.

ARGUMENTS
       SIDE    (input) CHARACTER*1
	       = 'R': compute right eigenvectors only;
	       = 'L': compute left eigenvectors only;
	       = 'B': compute both right and left eigenvectors.

       EIGSRC  (input) CHARACTER*1
	       Specifies the source of eigenvalues supplied in W:
	       =  'Q': the eigenvalues were found using CHSEQR; thus, if H has
	       zero subdiagonal elements, and so is block-triangular, then the
	       j-th eigenvalue can be assumed to be an eigenvalue of the block
	       containing the j-th row/column.	This property allows CHSEIN to
	       perform	inverse	 iteration on just one diagonal block.	= 'N':
	       no assumptions are made on the correspondence between eigenval‐
	       ues and diagonal blocks.	 In this case, CHSEIN must always per‐
	       form inverse iteration using the whole matrix H.

       INITV   (input) CHARACTER*1
	       = 'N': no initial vectors are supplied;
	       = 'U': user-supplied initial vectors are stored in  the	arrays
	       VL and/or VR.

       SELECT  (input) LOGICAL array, dimension (N)
	       Specifies the eigenvectors to be computed. To select the eigen‐
	       vector corresponding to the eigenvalue W(j), SELECT(j) must  be
	       set to .TRUE..

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

       H       (input) COMPLEX array, dimension (LDH,N)
	       The upper Hessenberg matrix H.

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

       W       (input/output) COMPLEX array, dimension (N)
	       On  entry,  the eigenvalues of H.  On exit, the real parts of W
	       may have been altered since  close  eigenvalues	are  perturbed
	       slightly in searching for independent eigenvectors.

       VL      (input/output) COMPLEX array, dimension (LDVL,MM)
	       On entry, if INITV = 'U' and SIDE = 'L' or 'B', VL must contain
	       starting vectors for the inverse iteration for the left	eigen‐
	       vectors;	 the  starting	vector for each eigenvector must be in
	       the same column in which the eigenvector will  be  stored.   On
	       exit,  if SIDE = 'L' or 'B', the left eigenvectors specified by
	       SELECT will be stored consecutively in the columns  of  VL,  in
	       the  same order as their eigenvalues.  If SIDE = 'R', VL is not
	       referenced.

       LDVL    (input) INTEGER
	       The leading dimension of the array VL.	LDVL  >=  max(1,N)  if
	       SIDE = 'L' or 'B'; LDVL >= 1 otherwise.

       VR      (input/output) COMPLEX array, dimension (LDVR,MM)
	       On entry, if INITV = 'U' and SIDE = 'R' or 'B', VR must contain
	       starting vectors for the inverse iteration for the right eigen‐
	       vectors;	 the  starting	vector for each eigenvector must be in
	       the same column in which the eigenvector will  be  stored.   On
	       exit, if SIDE = 'R' or 'B', the right eigenvectors specified by
	       SELECT will be stored consecutively in the columns  of  VR,  in
	       the  same order as their eigenvalues.  If SIDE = 'L', VR is not
	       referenced.

       LDVR    (input) INTEGER
	       The leading dimension of the array VR.	LDVR  >=  max(1,N)  if
	       SIDE = 'R' or 'B'; LDVR >= 1 otherwise.

       MM      (input) INTEGER
	       The number of columns in the arrays VL and/or VR. MM >= M.

       M       (output) INTEGER
	       The  number  of	columns in the arrays VL and/or VR required to
	       store the eigenvectors (= the  number  of  .TRUE.  elements  in
	       SELECT).

       WORK    (workspace) COMPLEX array, dimension (N*N)

       RWORK   (workspace) REAL array, dimension (N)

       IFAILL  (output) INTEGER array, dimension (MM)
	       If SIDE = 'L' or 'B', IFAILL(i) = j > 0 if the left eigenvector
	       in the i-th column of VL (corresponding to the eigenvalue w(j))
	       failed  to converge; IFAILL(i) = 0 if the eigenvector converged
	       satisfactorily.	If SIDE = 'R', IFAILL is not referenced.

       IFAILR  (output) INTEGER array, dimension (MM)
	       If SIDE = 'R' or 'B', IFAILR(i) = j > 0 if the right  eigenvec‐
	       tor  in	the i-th column of VR (corresponding to the eigenvalue
	       w(j)) failed to converge; IFAILR(i) = 0 if the eigenvector con‐
	       verged  satisfactorily.	 If  SIDE  = 'L', IFAILR is not refer‐
	       enced.

       INFO    (output) INTEGER
	       = 0:  successful exit
	       < 0:  if INFO = -i, the i-th argument had an illegal value
	       > 0:  if INFO = i, i is the number of eigenvectors which failed
	       to converge; see IFAILL and IFAILR for further details.

FURTHER DETAILS
       Each eigenvector is normalized so that the element of largest magnitude
       has magnitude 1; here the magnitude of a complex number (x,y) is	 taken
       to be |x|+|y|.

 LAPACK routine (version 3.2)	 November 2008			     CHSEIN(1)
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