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zggbal(3P)		    Sun Performance Library		    zggbal(3P)

NAME
       zggbal - balance a pair of general complex matrices (A,B)

SYNOPSIS
       SUBROUTINE ZGGBAL(JOB, N, A, LDA, B, LDB, ILO, IHI, LSCALE, RSCALE,
	     WORK, INFO)

       CHARACTER * 1 JOB
       DOUBLE COMPLEX A(LDA,*), B(LDB,*)
       INTEGER N, LDA, LDB, ILO, IHI, INFO
       DOUBLE PRECISION LSCALE(*), RSCALE(*), WORK(*)

       SUBROUTINE ZGGBAL_64(JOB, N, A, LDA, B, LDB, ILO, IHI, LSCALE,
	     RSCALE, WORK, INFO)

       CHARACTER * 1 JOB
       DOUBLE COMPLEX A(LDA,*), B(LDB,*)
       INTEGER*8 N, LDA, LDB, ILO, IHI, INFO
       DOUBLE PRECISION LSCALE(*), RSCALE(*), WORK(*)

   F95 INTERFACE
       SUBROUTINE GGBAL(JOB, [N], A, [LDA], B, [LDB], ILO, IHI, LSCALE,
	      RSCALE, [WORK], [INFO])

       CHARACTER(LEN=1) :: JOB
       COMPLEX(8), DIMENSION(:,:) :: A, B
       INTEGER :: N, LDA, LDB, ILO, IHI, INFO
       REAL(8), DIMENSION(:) :: LSCALE, RSCALE, WORK

       SUBROUTINE GGBAL_64(JOB, [N], A, [LDA], B, [LDB], ILO, IHI, LSCALE,
	      RSCALE, [WORK], [INFO])

       CHARACTER(LEN=1) :: JOB
       COMPLEX(8), DIMENSION(:,:) :: A, B
       INTEGER(8) :: N, LDA, LDB, ILO, IHI, INFO
       REAL(8), DIMENSION(:) :: LSCALE, RSCALE, WORK

   C INTERFACE
       #include <sunperf.h>

       void  zggbal(char  job, int n, doublecomplex *a, int lda, doublecomplex
		 *b, int ldb, int  *ilo,  int  *ihi,  double  *lscale,	double
		 *rscale, int *info);

       void zggbal_64(char job, long n, doublecomplex *a, long lda, doublecom‐
		 plex *b, long ldb, long *ilo, long *ihi, double *lscale, dou‐
		 ble *rscale, long *info);

PURPOSE
       zggbal  balances	 a  pair  of  general  complex	matrices  (A,B).  This
       involves, first, permuting A and B  by  similarity  transformations  to
       isolate	eigenvalues in the first 1 to ILO$-$1 and last IHI+1 to N ele‐
       ments on the diagonal;  and  second,  applying  a  diagonal  similarity
       transformation to rows and columns ILO to IHI to make the rows and col‐
       umns as close in norm as possible. Both steps are optional.

       Balancing may reduce the 1-norm of the matrices, and improve the	 accu‐
       racy of the computed eigenvalues and/or eigenvectors in the generalized
       eigenvalue problem A*x = lambda*B*x.

ARGUMENTS
       JOB (input)
		 Specifies the operations to be performed on A and B:
		 = 'N':	 none:	simply set ILO = 1, IHI = N, LSCALE(I)	=  1.0
		 and RSCALE(I) = 1.0 for i=1,...,N; = 'P':  permute only;
		 = 'S':	 scale only;
		 = 'B':	 both permute and scale.

       N (input) The order of the matrices A and B.  N >= 0.

       A (input/output)
		 On  entry,  the input matrix A.  On exit, A is overwritten by
		 the balanced matrix.  If JOB = 'N', A is not referenced.

       LDA (input)
		 The leading dimension of the array A. LDA >= max(1,N).

       B (input/output)
		 On entry, the input matrix B.	On exit, B is  overwritten  by
		 the balanced matrix.  If JOB = 'N', B is not referenced.

       LDB (input)
		 The leading dimension of the array B. LDB >= max(1,N).

       ILO (output)
		 ILO  and IHI are set to integers such that on exit A(i,j) = 0
		 and B(i,j) = 0	 if  i	>  j  and  j  =	 1,...,ILO-1  or  i  =
		 IHI+1,...,N.  If JOB = 'N' or 'S', ILO = 1 and IHI = N.

       IHI (output)
		 ILO  and IHI are set to integers such that on exit A(i,j) = 0
		 and B(i,j) = 0	 if  i	>  j  and  j  =	 1,...,ILO-1  or  i  =
		 IHI+1,...,N.

       LSCALE (output)
		 Details  of  the  permutations and scaling factors applied to
		 the left side of A and B.  If P(j) is the index  of  the  row
		 interchanged  with  row  j,  and  D(j)	 is the scaling factor
		 applied  to  row  j,  then  LSCALE(j)	=  P(j)	    for	 J   =
		 1,...,ILO-1  =	 D(j)	 for J = ILO,...,IHI = P(j)    for J =
		 IHI+1,...,N.  The order in which the interchanges are made is
		 N to IHI+1, then 1 to ILO-1.

       RSCALE (output)
		 Details  of  the  permutations and scaling factors applied to
		 the right side of A and B.  If P(j) is the index of the  col‐
		 umn  interchanged with column j, and D(j) is the scaling fac‐
		 tor applied to column j, then RSCALE(j) =  P(j)     for  J  =
		 1,...,ILO-1  =	 D(j)	 for J = ILO,...,IHI = P(j)    for J =
		 IHI+1,...,N.  The order in which the interchanges are made is
		 N to IHI+1, then 1 to ILO-1.

       WORK (workspace)
		 dimension(6*N)

       INFO (output)
		 = 0:  successful exit
		 < 0:  if INFO = -i, the i-th argument had an illegal value.

FURTHER DETAILS
       See R.C. WARD, Balancing the generalized eigenvalue problem,
		      SIAM J. Sci. Stat. Comp. 2 (1981), 141-152.

				  6 Mar 2009			    zggbal(3P)
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