NAME

cgegs - routine is deprecated and has been replaced by routine CGGES


SYNOPSIS

  SUBROUTINE CGEGS( JOBVSL, JOBVSR, N, A, LDA, B, LDB, ALPHA, BETA, 
 *      VSL, LDVSL, VSR, LDVSR, WORK, LDWORK, WORK2, INFO)
  CHARACTER * 1 JOBVSL, JOBVSR
  COMPLEX A(LDA,*), B(LDB,*), ALPHA(*), BETA(*), VSL(LDVSL,*), VSR(LDVSR,*), WORK(*)
  INTEGER N, LDA, LDB, LDVSL, LDVSR, LDWORK, INFO
  REAL WORK2(*)
  SUBROUTINE CGEGS_64( JOBVSL, JOBVSR, N, A, LDA, B, LDB, ALPHA, BETA, 
 *      VSL, LDVSL, VSR, LDVSR, WORK, LDWORK, WORK2, INFO)
  CHARACTER * 1 JOBVSL, JOBVSR
  COMPLEX A(LDA,*), B(LDB,*), ALPHA(*), BETA(*), VSL(LDVSL,*), VSR(LDVSR,*), WORK(*)
  INTEGER*8 N, LDA, LDB, LDVSL, LDVSR, LDWORK, INFO
  REAL WORK2(*)

F95 INTERFACE

  SUBROUTINE GEGS( JOBVSL, JOBVSR, [N], A, [LDA], B, [LDB], ALPHA, 
 *       BETA, VSL, [LDVSL], VSR, [LDVSR], [WORK], [LDWORK], [WORK2], 
 *       [INFO])
  CHARACTER(LEN=1) :: JOBVSL, JOBVSR
  COMPLEX, DIMENSION(:) :: ALPHA, BETA, WORK
  COMPLEX, DIMENSION(:,:) :: A, B, VSL, VSR
  INTEGER :: N, LDA, LDB, LDVSL, LDVSR, LDWORK, INFO
  REAL, DIMENSION(:) :: WORK2
  SUBROUTINE GEGS_64( JOBVSL, JOBVSR, [N], A, [LDA], B, [LDB], ALPHA, 
 *       BETA, VSL, [LDVSL], VSR, [LDVSR], [WORK], [LDWORK], [WORK2], 
 *       [INFO])
  CHARACTER(LEN=1) :: JOBVSL, JOBVSR
  COMPLEX, DIMENSION(:) :: ALPHA, BETA, WORK
  COMPLEX, DIMENSION(:,:) :: A, B, VSL, VSR
  INTEGER(8) :: N, LDA, LDB, LDVSL, LDVSR, LDWORK, INFO
  REAL, DIMENSION(:) :: WORK2

C INTERFACE

#include <sunperf.h>

void cgegs(char jobvsl, char jobvsr, int n, complex *a, int lda, complex *b, int ldb, complex *alpha, complex *beta, complex *vsl, int ldvsl, complex *vsr, int ldvsr, int *info);

void cgegs_64(char jobvsl, char jobvsr, long n, complex *a, long lda, complex *b, long ldb, complex *alpha, complex *beta, complex *vsl, long ldvsl, complex *vsr, long ldvsr, long *info);


PURPOSE

cgegs routine is deprecated and has been replaced by routine CGGES.

CGEGS computes for a pair of N-by-N complex nonsymmetric matrices A, B: the generalized eigenvalues (alpha, beta), the complex Schur form (A, B), and optionally left and/or right Schur vectors (VSL and VSR).

(If only the generalized eigenvalues are needed, use the driver CGEGV instead.)

A generalized eigenvalue for a pair of matrices (A,B) is, roughly speaking, a scalar w or a ratio alpha/beta = w, such that A - w*B is singular. It is usually represented as the pair (alpha,beta), as there is a reasonable interpretation for beta=0, and even for both being zero. A good beginning reference is the book, ``Matrix Computations'', by G. Golub & C. van Loan (Johns Hopkins U. Press)

The (generalized) Schur form of a pair of matrices is the result of multiplying both matrices on the left by one unitary matrix and both on the right by another unitary matrix, these two unitary matrices being chosen so as to bring the pair of matrices into upper triangular form with the diagonal elements of B being non-negative real numbers (this is also called complex Schur form.)

The left and right Schur vectors are the columns of VSL and VSR, respectively, where VSL and VSR are the unitary matrices

which reduce A and B to Schur form:

Schur form of (A,B) = ( (VSL)**H A (VSR), (VSL)**H B (VSR) )


ARGUMENTS