.TH "SRC/DEPRECATED/dgegv.f" 3 "Version 3.12.0" "LAPACK" \" -*- nroff -*- .ad l .nh .SH NAME SRC/DEPRECATED/dgegv.f .SH SYNOPSIS .br .PP .SS "Functions/Subroutines" .in +1c .ti -1c .RI "subroutine \fBdgegv\fP (jobvl, jobvr, n, a, lda, b, ldb, alphar, alphai, beta, vl, ldvl, vr, ldvr, work, lwork, info)" .br .RI "\fB DGEGV computes the eigenvalues and, optionally, the left and/or right eigenvectors of a real matrix pair (A,B)\&.\fP " .in -1c .SH "Function/Subroutine Documentation" .PP .SS "subroutine dgegv (character jobvl, character jobvr, integer n, double precision, dimension( lda, * ) a, integer lda, double precision, dimension( ldb, * ) b, integer ldb, double precision, dimension( * ) alphar, double precision, dimension( * ) alphai, double precision, dimension( * ) beta, double precision, dimension( ldvl, * ) vl, integer ldvl, double precision, dimension( ldvr, * ) vr, integer ldvr, double precision, dimension( * ) work, integer lwork, integer info)" .PP \fB DGEGV computes the eigenvalues and, optionally, the left and/or right eigenvectors of a real matrix pair (A,B)\&.\fP .PP \fBPurpose:\fP .RS 4 .PP .nf !> !> This routine is deprecated and has been replaced by routine DGGEV\&.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)\&. !> Given two square matrices A and B, !> the generalized nonsymmetric eigenvalue problem (GNEP) is to find the !> eigenvalues lambda and corresponding (non-zero) eigenvectors x such !> that !> !> A*x = lambda*B*x\&. !> !> An alternate form is to find the eigenvalues mu and corresponding !> eigenvectors y such that !> !> mu*A*y = B*y\&. !> !> 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 !> mu = beta/alpha\&. !> !> The vectors x and y in the above equations are right eigenvectors of !> the matrix pair (A,B)\&. Vectors u and v satisfying !> !> u**H*A = lambda*u**H*B or mu*v**H*A = v**H*B !> !> are left eigenvectors of (A,B)\&. !> !> Note: this routine performs on A and B !> .fi .PP .RE .PP \fBParameters\fP .RS 4 \fIJOBVL\fP .PP .nf !> JOBVL is CHARACTER*1 !> = 'N': do not compute the left generalized eigenvectors; !> = 'V': compute the left generalized eigenvectors (returned !> in VL)\&. !> .fi .PP .br \fIJOBVR\fP .PP .nf !> JOBVR is CHARACTER*1 !> = 'N': do not compute the right generalized eigenvectors; !> = 'V': compute the right generalized eigenvectors (returned !> in VR)\&. !> .fi .PP .br \fIN\fP .PP .nf !> N is INTEGER !> The order of the matrices A, B, VL, and VR\&. N >= 0\&. !> .fi .PP .br \fIA\fP .PP .nf !> A is DOUBLE PRECISION array, dimension (LDA, N) !> On entry, the matrix A\&. !> If JOBVL = 'V' or JOBVR = 'V', 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\&. !> .fi .PP .br \fILDA\fP .PP .nf !> LDA is INTEGER !> The leading dimension of A\&. LDA >= max(1,N)\&. !> .fi .PP .br \fIB\fP .PP .nf !> B is DOUBLE PRECISION array, dimension (LDB, N) !> On entry, the matrix B\&. !> If JOBVL = 'V' or JOBVR = 'V', 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\&. !> .fi .PP .br \fILDB\fP .PP .nf !> LDB is INTEGER !> The leading dimension of B\&. LDB >= max(1,N)\&. !> .fi .PP .br \fIALPHAR\fP .PP .nf !> ALPHAR is DOUBLE PRECISION array, dimension (N) !> The real parts of each scalar alpha defining an eigenvalue of !> GNEP\&. !> .fi .PP .br \fIALPHAI\fP .PP .nf !> ALPHAI is 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)\&. !> .fi .PP .br \fIBETA\fP .PP .nf !> BETA is 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\&. !> .fi .PP .br \fIVL\fP .PP .nf !> VL is DOUBLE PRECISION array, dimension (LDVL,N) !> If JOBVL = 'V', 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 = 'N'\&. !> .fi .PP .br \fILDVL\fP .PP .nf !> LDVL is INTEGER !> The leading dimension of the matrix VL\&. LDVL >= 1, and !> if JOBVL = 'V', LDVL >= N\&. !> .fi .PP .br \fIVR\fP .PP .nf !> VR is DOUBLE PRECISION array, dimension (LDVR,N) !> If JOBVR = 'V', 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 = 'N'\&. !> .fi .PP .br \fILDVR\fP .PP .nf !> LDVR is INTEGER !> The leading dimension of the matrix VR\&. LDVR >= 1, and !> if JOBVR = 'V', LDVR >= N\&. !> .fi .PP .br \fIWORK\fP .PP .nf !> WORK is DOUBLE PRECISION array, dimension (MAX(1,LWORK)) !> On exit, if INFO = 0, WORK(1) returns the optimal LWORK\&. !> .fi .PP .br \fILWORK\fP .PP .nf !> LWORK is 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\&. !> .fi .PP .br \fIINFO\fP .PP .nf !> INFO is INTEGER !> = 0: successful exit !> < 0: if INFO = -i, the i-th argument had an illegal value\&. !> = 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: !> =N+1: error return from DGGBAL !> =N+2: error return from DGEQRF !> =N+3: error return from DORMQR !> =N+4: error return from DORGQR !> =N+5: error return from DGGHRD !> =N+6: error return from DHGEQZ (other than failed !> iteration) !> =N+7: error return from DTGEVC !> =N+8: error return from DGGBAK (computing VL) !> =N+9: error return from DGGBAK (computing VR) !> =N+10: error return from DLASCL (various calls) !> .fi .PP .RE .PP \fBAuthor\fP .RS 4 Univ\&. of Tennessee .PP Univ\&. of California Berkeley .PP Univ\&. of Colorado Denver .PP NAG Ltd\&. .RE .PP \fBFurther Details:\fP .RS 4 .PP .nf !> !> Balancing !> --------- !> !> 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\&.) !> !> 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\&. !> !> Contents of A and B on Exit !> -------- -- - --- - -- ---- !> !> If any eigenvectors are computed (either JOBVL='V' or JOBVR='V' or !> both), then on exit the arrays A and B will contain the real Schur !> form[*] of the 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 , !> by Golub & van Loan, pub\&. by Johns Hopkins U\&. Press\&. !> .fi .PP .RE .PP .PP Definition at line \fB304\fP of file \fBdgegv\&.f\fP\&. .SH "Author" .PP Generated automatically by Doxygen for LAPACK from the source code\&.