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DTGEX2(1)	    LAPACK auxiliary routine (version 3.2)	     DTGEX2(1)

NAME
       DTGEX2  -  swaps	 adjacent diagonal blocks (A11, B11) and (A22, B22) of
       size 1-by-1 or 2-by-2 in an upper (quasi) triangular matrix pair (A, B)
       by an orthogonal equivalence transformation

SYNOPSIS
       SUBROUTINE DTGEX2( WANTQ, WANTZ, N, A, LDA, B, LDB, Q, LDQ, Z, LDZ, J1,
			  N1, N2, WORK, LWORK, INFO )

	   LOGICAL	  WANTQ, WANTZ

	   INTEGER	  INFO, J1, LDA, LDB, LDQ, LDZ, LWORK, N, N1, N2

	   DOUBLE	  PRECISION A( LDA, * ), B( LDB, * ),  Q(  LDQ,	 *  ),
			  WORK( * ), Z( LDZ, * )

PURPOSE
       DTGEX2 swaps adjacent diagonal blocks (A11, B11) and (A22, B22) of size
       1-by-1 or 2-by-2 in an upper (quasi) triangular matrix pair (A,	B)  by
       an  orthogonal  equivalence transformation.  (A, B) must be in general‐
       ized real Schur canonical form (as returned by DGGES), i.e. A is	 block
       upper  triangular  with	1-by-1	and 2-by-2 diagonal blocks. B is upper
       triangular.
       Optionally, the matrices Q and  Z  of  generalized  Schur  vectors  are
       updated.
	      Q(in) * A(in) * Z(in)' = Q(out) * A(out) * Z(out)'
	      Q(in) * B(in) * Z(in)' = Q(out) * B(out) * Z(out)'

ARGUMENTS
       WANTQ	(input) LOGICAL .TRUE. : update the left transformation matrix
       Q;

       WANTZ   (input) LOGICAL

       N       (input) INTEGER
	       The order of the matrices A and B. N >= 0.

       A      (input/output) DOUBLE PRECISION arrays, dimensions (LDA,N)
	      On entry, the matrix A in the pair (A, B).  On exit, the updated
	      matrix A.

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

       B      (input/output) DOUBLE PRECISION arrays, dimensions (LDB,N)
	      On entry, the matrix B in the pair (A, B).  On exit, the updated
	      matrix B.

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

       Q       (input/output) DOUBLE PRECISION array, dimension (LDZ,N)
	       On entry, if WANTQ = .TRUE., the orthogonal matrix Q.  On exit,
	       the updated matrix Q.  Not referenced if WANTQ = .FALSE..

       LDQ     (input) INTEGER
	       The  leading  dimension	of  the array Q. LDQ >= 1.  If WANTQ =
	       .TRUE., LDQ >= N.

       Z       (input/output) DOUBLE PRECISION array, dimension (LDZ,N)
	       On entry, if WANTZ =.TRUE., the orthogonal matrix Z.  On	 exit,
	       the updated matrix Z.  Not referenced if WANTZ = .FALSE..

       LDZ     (input) INTEGER
	       The  leading  dimension	of  the array Z. LDZ >= 1.  If WANTZ =
	       .TRUE., LDZ >= N.

       J1      (input) INTEGER
	       The index to the first block (A11, B11). 1 <= J1 <= N.

       N1      (input) INTEGER
	       The order of the first block (A11, B11). N1 = 0, 1 or 2.

       N2      (input) INTEGER
	       The order of the second block (A22, B22). N2 = 0, 1 or 2.

       WORK    (workspace) DOUBLE PRECISION array, dimension (MAX(1,LWORK)).

       LWORK   (input) INTEGER
	       The dimension of the array WORK.	 LWORK >=  MAX( 1,  N*(N2+N1),
	       (N2+N1)*(N2+N1)*2 )

       INFO    (output) INTEGER
	       =0: Successful exit
	       >0: If INFO = 1, the transformed matrix (A, B) would be too far
	       from generalized Schur form; the blocks are not swapped and (A,
	       B)  and	(Q,  Z) are unchanged.	The problem of swapping is too
	       ill-conditioned.	 <0: If INFO = -16: LWORK is too small. Appro‐
	       priate value for LWORK is returned in WORK(1).

FURTHER DETAILS
       Based on contributions by
	  Bo Kagstrom and Peter Poromaa, Department of Computing Science,
	  Umea University, S-901 87 Umea, Sweden.
       In the current code both weak and strong stability tests are performed.
       The user can omit the strong stability test by  changing	 the  internal
       logical parameter WANDS to .FALSE.. See ref. [2] for details.
       [1] B. Kagstrom; A Direct Method for Reordering Eigenvalues in the
	   Generalized Real Schur Form of a Regular Matrix Pair (A, B), in
	   M.S. Moonen et al (eds), Linear Algebra for Large Scale and
	   Real-Time  Applications,  Kluwer  Academic  Publ. 1993, pp 195-218.
       [2] B. Kagstrom and P. Poromaa; Computing Eigenspaces with Specified
	   Eigenvalues of a Regular Matrix Pair (A, B) and Condition
	   Estimation: Theory, Algorithms and Software,
	   Report UMINF - 94.04, Department of Computing Science, Umea
	   University, S-901 87 Umea, Sweden, 1994. Also as LAPACK Working
	   Note 87. To appear in Numerical Algorithms, 1996.

 LAPACK auxiliary routine (versioNovember 2008			     DTGEX2(1)
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