.TH "SRC/DEPRECATED/sgegv.f" 3 "Version 3.12.0" "LAPACK" \" -*- nroff -*- .ad l .nh .SH NAME SRC/DEPRECATED/sgegv.f .SH SYNOPSIS .br .PP .SS "Functions/Subroutines" .in +1c .ti -1c .RI "subroutine \fBsgegv\fP (jobvl, jobvr, n, a, lda, b, ldb, alphar, alphai, beta, vl, ldvl, vr, ldvr, work, lwork, info)" .br .RI "\fB SGEGV 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 sgegv (character jobvl, character jobvr, integer n, real, dimension( lda, * ) a, integer lda, real, dimension( ldb, * ) b, integer ldb, real, dimension( * ) alphar, real, dimension( * ) alphai, real, dimension( * ) beta, real, dimension( ldvl, * ) vl, integer ldvl, real, dimension( ldvr, * ) vr, integer ldvr, real, dimension( * ) work, integer lwork, integer info)" .PP \fB SGEGV 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 This routine is deprecated and has been replaced by routine SGGEV\&. !> !> SGEGV 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 REAL 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 SGGHRD and !> SHGEQZ 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 REAL 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 SGGHRD and SHGEQZ 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 REAL array, dimension (N) !> The real parts of each scalar alpha defining an eigenvalue of !> GNEP\&. !> .fi .PP .br \fIALPHAI\fP .PP .nf !> ALPHAI is REAL 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 REAL 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 REAL 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 REAL 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 REAL 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 SGEQRF, SORMQR, and SORGQR\&.) Then compute: !> NB -- MAX of the blocksizes for SGEQRF, SORMQR, and SORGQR; !> 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 SGGBAL !> =N+2: error return from SGEQRF !> =N+3: error return from SORMQR !> =N+4: error return from SORGQR !> =N+5: error return from SGGHRD !> =N+6: error return from SHGEQZ (other than failed !> iteration) !> =N+7: error return from STGEVC !> =N+8: error return from SGGBAK (computing VL) !> =N+9: error return from SGGBAK (computing VR) !> =N+10: error return from SLASCL (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 SGGBAL 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, SGGBAK 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 SHGEQZ, SGEGS, 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 \fBsgegv\&.f\fP\&. .SH "Author" .PP Generated automatically by Doxygen for LAPACK from the source code\&.