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DGEEVX(l)			       )			     DGEEVX(l)

NAME
       DGEEVX  -  compute for an N-by-N real nonsymmetric matrix A, the eigen‐
       values and, optionally, the left and/or right eigenvectors

SYNOPSIS
       SUBROUTINE DGEEVX( BALANC, JOBVL, JOBVR, SENSE, N, A, LDA, WR, WI,  VL,
			  LDVL,	 VR,  LDVR,  ILO,  IHI,	 SCALE, ABNRM, RCONDE,
			  RCONDV, WORK, LWORK, IWORK, INFO )

	   CHARACTER	  BALANC, JOBVL, JOBVR, SENSE

	   INTEGER	  IHI, ILO, INFO, LDA, LDVL, LDVR, LWORK, N

	   DOUBLE	  PRECISION ABNRM

	   INTEGER	  IWORK( * )

	   DOUBLE	  PRECISION A( LDA, * ), RCONDE( *  ),	RCONDV(	 *  ),
			  SCALE(  *  ), VL( LDVL, * ), VR( LDVR, * ), WI( * ),
			  WORK( * ), WR( * )

PURPOSE
       DGEEVX computes for an N-by-N real nonsymmetric matrix A, the eigenval‐
       ues  and,  optionally,  the left and/or right eigenvectors.  Optionally
       also, it computes a balancing transformation to improve the  condition‐
       ing  of	the eigenvalues and eigenvectors (ILO, IHI, SCALE, and ABNRM),
       reciprocal condition numbers for the eigenvalues (RCONDE), and recipro‐
       cal condition numbers for the right
       eigenvectors (RCONDV).

       The right eigenvector v(j) of A satisfies
			A * v(j) = lambda(j) * v(j)
       where lambda(j) is its eigenvalue.
       The left eigenvector u(j) of A satisfies
		     u(j)**H * A = lambda(j) * u(j)**H
       where u(j)**H denotes the conjugate transpose of u(j).

       The  computed  eigenvectors are normalized to have Euclidean norm equal
       to 1 and largest component real.

       Balancing a matrix means permuting the rows and columns to make it more
       nearly upper triangular, and applying a diagonal similarity transforma‐
       tion D * A * D**(-1), where D is a diagonal matrix, to  make  its  rows
       and columns closer in norm and the condition numbers of its eigenvalues
       and eigenvectors smaller.  The computed	reciprocal  condition  numbers
       correspond to the balanced matrix.  Permuting rows and columns will not
       change the condition numbers (in exact arithmetic) but diagonal scaling
       will.   For further explanation of balancing, see section 4.10.2 of the
       LAPACK Users' Guide.

ARGUMENTS
       BALANC  (input) CHARACTER*1
	       Indicates how the input	matrix	should	be  diagonally	scaled
	       and/or permuted to improve the conditioning of its eigenvalues.
	       = 'N': Do not diagonally scale or permute;
	       = 'P': Perform permutations to  make  the  matrix  more	nearly
	       upper  triangular.  Do  not diagonally scale; = 'S': Diagonally
	       scale the matrix, i.e. replace A by D*A*D**(-1), where D	 is  a
	       diagonal	 matrix	 chosen to make the rows and columns of A more
	       equal in norm. Do not permute; = 'B': Both diagonally scale and
	       permute A.

	       Computed	 reciprocal  condition	numbers will be for the matrix
	       after balancing and/or permuting.  Permuting  does  not	change
	       condition numbers (in exact arithmetic), but balancing does.

       JOBVL   (input) CHARACTER*1
	       = 'N': left eigenvectors of A are not computed;
	       =  'V': left eigenvectors of A are computed.  If SENSE = 'E' or
	       'B', JOBVL must = 'V'.

       JOBVR   (input) CHARACTER*1
	       = 'N': right eigenvectors of A are not computed;
	       = 'V': right eigenvectors of A are computed.  If SENSE = 'E' or
	       'B', JOBVR must = 'V'.

       SENSE   (input) CHARACTER*1
	       Determines  which reciprocal condition numbers are computed.  =
	       'N': None are computed;
	       = 'E': Computed for eigenvalues only;
	       = 'V': Computed for right eigenvectors only;
	       = 'B': Computed for eigenvalues and right eigenvectors.

	       If SENSE = 'E' or 'B', both left and  right  eigenvectors  must
	       also be computed (JOBVL = 'V' and JOBVR = 'V').

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

       A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
	       On  entry,  the N-by-N matrix A.	 On exit, A has been overwrit‐
	       ten.  If JOBVL = 'V' or JOBVR = 'V', A contains the real	 Schur
	       form of the balanced version of the input matrix A.

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

       WR      (output) DOUBLE PRECISION array, dimension (N)
	       WI	(output)  DOUBLE PRECISION array, dimension (N) WR and
	       WI contain the real and imaginary parts, respectively,  of  the
	       computed	 eigenvalues.	Complex conjugate pairs of eigenvalues
	       will appear consecutively with the eigenvalue having the	 posi‐
	       tive imaginary part first.

       VL      (output) DOUBLE PRECISION array, dimension (LDVL,N)
	       If JOBVL = 'V', the left eigenvectors u(j) are stored one after
	       another in the columns of VL, in the same order as their eigen‐
	       values.	If JOBVL = 'N', VL is not referenced.  If the j-th ei‐
	       genvalue is real, then u(j) = VL(:,j), the j-th column  of  VL.
	       If  the	j-th and (j+1)-st eigenvalues form a complex conjugate
	       pair, then u(j) = VL(:,j) + i*VL(:,j+1) and
	       u(j+1) = VL(:,j) - i*VL(:,j+1).

       LDVL    (input) INTEGER
	       The leading dimension of the array VL.  LDVL >= 1; if  JOBVL  =
	       'V', LDVL >= N.

       VR      (output) DOUBLE PRECISION array, dimension (LDVR,N)
	       If  JOBVR  =  'V',  the	right eigenvectors v(j) are stored one
	       after another in the columns of VR, in the same order as	 their
	       eigenvalues.   If JOBVR = 'N', VR is not referenced.  If the j-
	       th eigenvalue is real, then v(j) = VR(:,j), the j-th column  of
	       VR.  If the j-th and (j+1)-st eigenvalues form a complex conju‐
	       gate pair, then v(j) = VR(:,j) + i*VR(:,j+1) and
	       v(j+1) = VR(:,j) - i*VR(:,j+1).

       LDVR    (input) INTEGER
	       The leading dimension of the array VR.  LDVR >= 1, and if JOBVR
	       = 'V', LDVR >= N.

	       ILO,IHI	(output) INTEGER ILO and IHI are integer values deter‐
	       mined when A was balanced.  The balanced A(i,j) = 0 if  I  >  J
	       and J = 1,...,ILO-1 or I = IHI+1,...,N.

       SCALE   (output) DOUBLE PRECISION array, dimension (N)
	       Details	of  the	 permutations and scaling factors applied when
	       balancing A.  If P(j) is the index of the row and column inter‐
	       changed	with  row and column j, and D(j) is the scaling factor
	       applied to row and column j, then SCALE(J) = P(J),    for  J  =
	       1,...,ILO-1  =  D(J),	for J = ILO,...,IHI = P(J)     for J =
	       IHI+1,...,N.  The order in which the interchanges are made is N
	       to IHI+1, then 1 to ILO-1.

       ABNRM   (output) DOUBLE PRECISION
	       The  one-norm of the balanced matrix (the maximum of the sum of
	       absolute values of elements of any column).

       RCONDE  (output) DOUBLE PRECISION array, dimension (N)
	       RCONDE(j) is the reciprocal condition number of the j-th eigen‐
	       value.

       RCONDV  (output) DOUBLE PRECISION array, dimension (N)
	       RCONDV(j)  is the reciprocal condition number of the j-th right
	       eigenvector.

       WORK    (workspace/output) DOUBLE PRECISION array, dimension (LWORK)
	       On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

       LWORK   (input) INTEGER
	       The dimension of the array WORK.	  If SENSE = 'N' or 'E', LWORK
	       >= max(1,2*N), and if JOBVL = 'V' or JOBVR = 'V', LWORK >= 3*N.
	       If SENSE = 'V' or 'B', LWORK >= N*(N+6).	 For good performance,
	       LWORK must generally be larger.

	       If  LWORK  = -1, then a workspace query is assumed; the routine
	       only calculates the optimal size of  the	 WORK  array,  returns
	       this  value  as the first entry of the WORK array, and no error
	       message related to LWORK is issued by XERBLA.

       IWORK   (workspace) INTEGER array, dimension (2*N-2)
	       If SENSE = 'N' or 'E', not referenced.

       INFO    (output) INTEGER
	       = 0:  successful exit
	       < 0:  if INFO = -i, the i-th argument had an illegal value.
	       > 0:  if INFO = i, the QR algorithm failed to compute  all  the
	       eigenvalues, and no eigenvectors or condition numbers have been
	       computed; elements 1:ILO-1 and i+1:N of WR and WI  contain  ei‐
	       genvalues which have converged.

LAPACK version 3.0		 15 June 2000			     DGEEVX(l)
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