2. EL 6 ELS
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  4. cgegs(l)

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CGEGS(1) LAPACK driver routine (version 3.2) CGEGS(1)

NAME

CGEGS - routine i deprecated and has been replaced by routine CGGES

SYNOPSIS

JOBVSL, JOBVSR, N, A, LDA, B, LDB, ALPHA, BETA, VSL, LDVSL, VSR, LDVSR, WORK, LWORK, RWORK, INFO )

CHARACTER JOBVSL, JOBVSR INTEGER INFO, LDA, LDB, LDVSL, LDVSR, LWORK, N REAL RWORK( * ) COMPLEX A( LDA, * ), ALPHA( * ), B( LDB, * ), BETA( * ), VSL( LDVSL, * ), VSR( LDVSR, * ), WORK( * )

PURPOSE

This routine is deprecated and has been replaced by routine CGGES. CGEGS computes the eigenvalues, Schur form, and, optionally, the left and or/right Schur vectors of a complex matrix pair (A,B). Given two square matrices A and B, the generalized Schur
factorization has the form

A = Q*S*Z**H, B = Q*T*Z**H
where Q and Z are unitary matrices and S and T are upper triangular. The columns of Q are the left Schur vectors
and the columns of Z are the right Schur vectors.
If only the eigenvalues of (A,B) are needed, the driver routine CGEGV should be used instead. See CGEGV for a description of the eigenvalues of the generalized nonsymmetric eigenvalue problem (GNEP).

ARGUMENTS

= 'N': do not compute the left Schur vectors;
= 'V': compute the left Schur vectors (returned in VSL).

= 'N': do not compute the right Schur vectors;
= 'V': compute the right Schur vectors (returned in VSR).
The order of the matrices A, B, VSL, and VSR. N >= 0.
On entry, the matrix A. On exit, the upper triangular matrix S from the generalized Schur factorization.
The leading dimension of A. LDA >= max(1,N).
On entry, the matrix B. On exit, the upper triangular matrix T from the generalized Schur factorization.
The leading dimension of B. LDB >= max(1,N).
The complex scalars alpha that define the eigenvalues of GNEP. ALPHA(j) = S(j,j), the diagonal element of the Schur form of A.
The non-negative real scalars beta that define the eigenvalues of GNEP. BETA(j) = T(j,j), the diagonal element of the triangular factor T. Together, the quantities alpha = ALPHA(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.
If JOBVSL = 'V', the matrix of left Schur vectors Q. Not referenced if JOBVSL = 'N'.
The leading dimension of the matrix VSL. LDVSL >= 1, and if JOBVSL = 'V', LDVSL >= N.
If JOBVSR = 'V', the matrix of right Schur vectors Z. Not referenced if JOBVSR = 'N'.
The leading dimension of the matrix VSR. LDVSR >= 1, and if JOBVSR = 'V', LDVSR >= N.
On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
The dimension of the array WORK. LWORK >= max(1,2*N). For good performance, LWORK must generally be larger. To compute the optimal value of LWORK, call ILAENV to get blocksizes (for CGEQRF, CUNMQR, and CUNGQR.) Then compute: NB -- MAX of the blocksizes for CGEQRF, CUNMQR, and CUNGQR; the optimal LWORK is 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.
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value.
=1,...,N: The QZ iteration failed. (A,B) are not in Schur form, but ALPHA(j) and BETA(j) should be correct for j=INFO+1,...,N. > N: errors that usually indicate LAPACK problems:
=N+1: error return from CGGBAL
=N+2: error return from CGEQRF
=N+3: error return from CUNMQR
=N+4: error return from CUNGQR
=N+5: error return from CGGHRD
=N+6: error return from CHGEQZ (other than failed iteration) =N+7: error return from CGGBAK (computing VSL)
=N+8: error return from CGGBAK (computing VSR)
=N+9: error return from CLASCL (various places)
November 2008 LAPACK driver routine (version 3.2)