.TH  DGEGV 1 "November 2006" " LAPACK driver routine (version 3.1) " " LAPACK driver routine (version 3.1) " 
.SH NAME
DGEGV - i deprecated and has been replaced by routine DGGEV
.SH SYNOPSIS
.TP 18
SUBROUTINE DGEGV(
JOBVL, JOBVR, N, A, LDA, B, LDB, ALPHAR, ALPHAI,
BETA, VL, LDVL, VR, LDVR, WORK, LWORK, INFO )
.TP 18
.ti +4
CHARACTER
JOBVL, JOBVR
.TP 18
.ti +4
INTEGER
INFO, LDA, LDB, LDVL, LDVR, LWORK, N
.TP 18
.ti +4
DOUBLE
PRECISION A( LDA, * ), ALPHAI( * ), ALPHAR( * ),
B( LDB, * ), BETA( * ), VL( LDVL, * ),
VR( LDVR, * ), WORK( * )
.SH PURPOSE
This routine is deprecated and has been replaced by routine DGGEV.

DGEGV computes the eigenvalues and, optionally, the left and/or right
eigenvectors of a real matrix pair (A,B).
.br
Given two square matrices A and B,
.br
the generalized nonsymmetric eigenvalue problem (GNEP) is to find the
eigenvalues lambda and corresponding (non-zero) eigenvectors x such
that
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   A*x = lambda*B*x.
.br

An alternate form is to find the eigenvalues mu and corresponding
eigenvectors y such that
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   mu*A*y = B*y.
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These two forms are equivalent with mu = 1/lambda and x = y if
neither lambda nor mu is zero.  In order to deal with the case that
lambda or mu is zero or small, two values alpha and beta are returned
for each eigenvalue, such that lambda = alpha/beta and
.br
mu = beta/alpha.
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The vectors x and y in the above equations are right eigenvectors of
the matrix pair (A,B).  Vectors u and v satisfying
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   u**H*A = lambda*u**H*B  or  mu*v**H*A = v**H*B
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are left eigenvectors of (A,B).
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Note: this routine performs "full balancing" on A and B -- see
"Further Details", below.
.br
.SH ARGUMENTS
.TP 8
JOBVL   (input) CHARACTER*1
= \(aqN\(aq:  do not compute the left generalized eigenvectors;
.br
= \(aqV\(aq:  compute the left generalized eigenvectors (returned
in VL).
.TP 8
JOBVR   (input) CHARACTER*1
= \(aqN\(aq:  do not compute the right generalized eigenvectors;
.br
= \(aqV\(aq:  compute the right generalized eigenvectors (returned
in VR).
.TP 8
N       (input) INTEGER
The order of the matrices A, B, VL, and VR.  N >= 0.
.TP 8
A       (input/output) DOUBLE PRECISION array, dimension (LDA, N)
On entry, the matrix A.
If JOBVL = \(aqV\(aq or JOBVR = \(aqV\(aq, then on exit A
contains the real Schur form of A from the generalized Schur
factorization of the pair (A,B) after balancing.
If no eigenvectors were computed, then only the diagonal
blocks from the Schur form will be correct.  See DGGHRD and
DHGEQZ for details.
.TP 8
LDA     (input) INTEGER
The leading dimension of A.  LDA >= max(1,N).
.TP 8
B       (input/output) DOUBLE PRECISION array, dimension (LDB, N)
On entry, the matrix B.
If JOBVL = \(aqV\(aq or JOBVR = \(aqV\(aq, then on exit B contains the
upper triangular matrix obtained from B in the generalized
Schur factorization of the pair (A,B) after balancing.
If no eigenvectors were computed, then only those elements of
B corresponding to the diagonal blocks from the Schur form of
A will be correct.  See DGGHRD and DHGEQZ for details.
.TP 8
LDB     (input) INTEGER
The leading dimension of B.  LDB >= max(1,N).
.TP 8
ALPHAR  (output) DOUBLE PRECISION array, dimension (N)
The real parts of each scalar alpha defining an eigenvalue of
GNEP.
.TP 8
ALPHAI  (output) DOUBLE PRECISION array, dimension (N)
The imaginary parts of each scalar alpha defining an
eigenvalue of GNEP.  If ALPHAI(j) is zero, then the j-th
eigenvalue is real; if positive, then the j-th and
(j+1)-st eigenvalues are a complex conjugate pair, with
ALPHAI(j+1) = -ALPHAI(j).
.TP 8
BETA    (output) DOUBLE PRECISION array, dimension (N)
The scalars beta that define the eigenvalues of GNEP.
Together, the quantities alpha = (ALPHAR(j),ALPHAI(j)) and
beta = BETA(j) represent the j-th eigenvalue of the matrix
pair (A,B), in one of the forms lambda = alpha/beta or
mu = beta/alpha.  Since either lambda or mu may overflow,
they should not, in general, be computed.
.TP 8
VL      (output) DOUBLE PRECISION array, dimension (LDVL,N)
If JOBVL = \(aqV\(aq, the left eigenvectors u(j) are stored
in the columns of VL, in the same order as their eigenvalues.
If the j-th eigenvalue is real, then u(j) = VL(:,j).
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).

Each eigenvector is scaled so that its largest component has
abs(real part) + abs(imag. part) = 1, except for eigenvectors
corresponding to an eigenvalue with alpha = beta = 0, which
are set to zero.
Not referenced if JOBVL = \(aqN\(aq.
.TP 8
LDVL    (input) INTEGER
The leading dimension of the matrix VL. LDVL >= 1, and
if JOBVL = \(aqV\(aq, LDVL >= N.
.TP 8
VR      (output) DOUBLE PRECISION array, dimension (LDVR,N)
If JOBVR = \(aqV\(aq, the right eigenvectors x(j) are stored
in the columns of VR, in the same order as their eigenvalues.
If the j-th eigenvalue is real, then x(j) = VR(:,j).
If the j-th and (j+1)-st eigenvalues form a complex conjugate
pair, then
x(j) = VR(:,j) + i*VR(:,j+1)
and
x(j+1) = VR(:,j) - i*VR(:,j+1).

Each eigenvector is scaled so that its largest component has
abs(real part) + abs(imag. part) = 1, except for eigenvalues
corresponding to an eigenvalue with alpha = beta = 0, which
are set to zero.
Not referenced if JOBVR = \(aqN\(aq.
.TP 8
LDVR    (input) INTEGER
The leading dimension of the matrix VR. LDVR >= 1, and
if JOBVR = \(aqV\(aq, LDVR >= N.
.TP 8
WORK    (workspace/output) DOUBLE PRECISION array, dimension (MAX(1,LWORK))
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
.TP 8
LWORK   (input) INTEGER
The dimension of the array WORK.  LWORK >= max(1,8*N).
For good performance, LWORK must generally be larger.
To compute the optimal value of LWORK, call ILAENV to get
blocksizes (for DGEQRF, DORMQR, and DORGQR.)  Then compute:
NB  -- MAX of the blocksizes for DGEQRF, DORMQR, and DORGQR;
The optimal LWORK is:
2*N + MAX( 6*N, N*(NB+1) ).

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.
.TP 8
INFO    (output) INTEGER
= 0:  successful exit
.br
< 0:  if INFO = -i, the i-th argument had an illegal value.
.br
= 1,...,N:
The QZ iteration failed.  No eigenvectors have been
calculated, but ALPHAR(j), ALPHAI(j), and BETA(j)
should be correct for j=INFO+1,...,N.
> N:  errors that usually indicate LAPACK problems:
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=N+1: error return from DGGBAL
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=N+2: error return from DGEQRF
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=N+3: error return from DORMQR
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=N+4: error return from DORGQR
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=N+5: error return from DGGHRD
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=N+6: error return from DHGEQZ (other than failed
iteration)
=N+7: error return from DTGEVC
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=N+8: error return from DGGBAK (computing VL)
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=N+9: error return from DGGBAK (computing VR)
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=N+10: error return from DLASCL (various calls)
.SH FURTHER DETAILS
Balancing
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---------
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This driver calls DGGBAL to both permute and scale rows and columns
of A and B.  The permutations PL and PR are chosen so that PL*A*PR
and PL*B*R will be upper triangular except for the diagonal blocks
A(i:j,i:j) and B(i:j,i:j), with i and j as close together as
possible.  The diagonal scaling matrices DL and DR are chosen so
that the pair  DL*PL*A*PR*DR, DL*PL*B*PR*DR have elements close to
one (except for the elements that start out zero.)
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After the eigenvalues and eigenvectors of the balanced matrices
have been computed, DGGBAK transforms the eigenvectors back to what
they would have been (in perfect arithmetic) if they had not been
balanced.
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Contents of A and B on Exit
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-------- -- - --- - -- ----
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If any eigenvectors are computed (either JOBVL=\(aqV\(aq or JOBVR=\(aqV\(aq or
both), then on exit the arrays A and B will contain the real Schur
form[*] of the "balanced" versions of A and B.  If no eigenvectors
are computed, then only the diagonal blocks will be correct.

[*] See DHGEQZ, DGEGS, or read the book "Matrix Computations",
    by Golub & van Loan, pub. by Johns Hopkins U. Press.
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