.TH "ggbal" 3 "Wed Feb 7 2024 11:30:40" "Version 3.12.0" "LAPACK" \" -*- nroff -*- .ad l .nh .SH NAME ggbal \- ggbal: balance matrix .SH SYNOPSIS .br .PP .SS "Functions" .in +1c .ti -1c .RI "subroutine \fBcggbal\fP (job, n, a, lda, b, ldb, ilo, ihi, lscale, rscale, work, info)" .br .RI "\fBCGGBAL\fP " .ti -1c .RI "subroutine \fBdggbal\fP (job, n, a, lda, b, ldb, ilo, ihi, lscale, rscale, work, info)" .br .RI "\fBDGGBAL\fP " .ti -1c .RI "subroutine \fBsggbal\fP (job, n, a, lda, b, ldb, ilo, ihi, lscale, rscale, work, info)" .br .RI "\fBSGGBAL\fP " .ti -1c .RI "subroutine \fBzggbal\fP (job, n, a, lda, b, ldb, ilo, ihi, lscale, rscale, work, info)" .br .RI "\fBZGGBAL\fP " .in -1c .SH "Detailed Description" .PP .SH "Function Documentation" .PP .SS "subroutine cggbal (character job, integer n, complex, dimension( lda, * ) a, integer lda, complex, dimension( ldb, * ) b, integer ldb, integer ilo, integer ihi, real, dimension( * ) lscale, real, dimension( * ) rscale, real, dimension( * ) work, integer info)" .PP \fBCGGBAL\fP .PP \fBPurpose:\fP .RS 4 .PP .nf CGGBAL 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 elements on the diagonal; and second, applying a diagonal similarity transformation to rows and columns ILO to IHI to make the rows and columns as close in norm as possible\&. Both steps are optional\&. Balancing may reduce the 1-norm of the matrices, and improve the accuracy of the computed eigenvalues and/or eigenvectors in the generalized eigenvalue problem A*x = lambda*B*x\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fIJOB\fP .PP .nf JOB is CHARACTER*1 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\&. .fi .PP .br \fIN\fP .PP .nf N is INTEGER The order of the matrices A and B\&. N >= 0\&. .fi .PP .br \fIA\fP .PP .nf A is COMPLEX array, dimension (LDA,N) On entry, the input matrix A\&. On exit, A is overwritten by the balanced matrix\&. If JOB = 'N', A is not referenced\&. .fi .PP .br \fILDA\fP .PP .nf LDA is INTEGER The leading dimension of the array A\&. LDA >= max(1,N)\&. .fi .PP .br \fIB\fP .PP .nf B is COMPLEX array, dimension (LDB,N) On entry, the input matrix B\&. On exit, B is overwritten by the balanced matrix\&. If JOB = 'N', B is not referenced\&. .fi .PP .br \fILDB\fP .PP .nf LDB is INTEGER The leading dimension of the array B\&. LDB >= max(1,N)\&. .fi .PP .br \fIILO\fP .PP .nf ILO is INTEGER .fi .PP .br \fIIHI\fP .PP .nf IHI is INTEGER 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\&. .fi .PP .br \fILSCALE\fP .PP .nf LSCALE is REAL array, dimension (N) 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\&. .fi .PP .br \fIRSCALE\fP .PP .nf RSCALE is REAL array, dimension (N) Details of the permutations and scaling factors applied to the right side of A and B\&. If P(j) is the index of the column interchanged with column j, and D(j) is the scaling factor 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\&. .fi .PP .br \fIWORK\fP .PP .nf WORK is REAL array, dimension (lwork) lwork must be at least max(1,6*N) when JOB = 'S' or 'B', and at least 1 when JOB = 'N' or 'P'\&. .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\&. .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 See R\&.C\&. WARD, Balancing the generalized eigenvalue problem, SIAM J\&. Sci\&. Stat\&. Comp\&. 2 (1981), 141-152\&. .fi .PP .RE .PP .SS "subroutine dggbal (character job, integer n, double precision, dimension( lda, * ) a, integer lda, double precision, dimension( ldb, * ) b, integer ldb, integer ilo, integer ihi, double precision, dimension( * ) lscale, double precision, dimension( * ) rscale, double precision, dimension( * ) work, integer info)" .PP \fBDGGBAL\fP .PP \fBPurpose:\fP .RS 4 .PP .nf DGGBAL balances a pair of general real 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 elements on the diagonal; and second, applying a diagonal similarity transformation to rows and columns ILO to IHI to make the rows and columns as close in norm as possible\&. Both steps are optional\&. Balancing may reduce the 1-norm of the matrices, and improve the accuracy of the computed eigenvalues and/or eigenvectors in the generalized eigenvalue problem A*x = lambda*B*x\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fIJOB\fP .PP .nf JOB is CHARACTER*1 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\&. .fi .PP .br \fIN\fP .PP .nf N is INTEGER The order of the matrices A and B\&. N >= 0\&. .fi .PP .br \fIA\fP .PP .nf A is DOUBLE PRECISION array, dimension (LDA,N) On entry, the input matrix A\&. On exit, A is overwritten by the balanced matrix\&. If JOB = 'N', A is not referenced\&. .fi .PP .br \fILDA\fP .PP .nf LDA is INTEGER The leading dimension of the array A\&. LDA >= max(1,N)\&. .fi .PP .br \fIB\fP .PP .nf B is DOUBLE PRECISION array, dimension (LDB,N) On entry, the input matrix B\&. On exit, B is overwritten by the balanced matrix\&. If JOB = 'N', B is not referenced\&. .fi .PP .br \fILDB\fP .PP .nf LDB is INTEGER The leading dimension of the array B\&. LDB >= max(1,N)\&. .fi .PP .br \fIILO\fP .PP .nf ILO is INTEGER .fi .PP .br \fIIHI\fP .PP .nf IHI is INTEGER 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\&. .fi .PP .br \fILSCALE\fP .PP .nf LSCALE is DOUBLE PRECISION array, dimension (N) 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\&. .fi .PP .br \fIRSCALE\fP .PP .nf RSCALE is DOUBLE PRECISION array, dimension (N) Details of the permutations and scaling factors applied to the right side of A and B\&. If P(j) is the index of the column interchanged with column j, and D(j) is the scaling factor applied to column 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\&. .fi .PP .br \fIWORK\fP .PP .nf WORK is DOUBLE PRECISION array, dimension (lwork) lwork must be at least max(1,6*N) when JOB = 'S' or 'B', and at least 1 when JOB = 'N' or 'P'\&. .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\&. .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 See R\&.C\&. WARD, Balancing the generalized eigenvalue problem, SIAM J\&. Sci\&. Stat\&. Comp\&. 2 (1981), 141-152\&. .fi .PP .RE .PP .SS "subroutine sggbal (character job, integer n, real, dimension( lda, * ) a, integer lda, real, dimension( ldb, * ) b, integer ldb, integer ilo, integer ihi, real, dimension( * ) lscale, real, dimension( * ) rscale, real, dimension( * ) work, integer info)" .PP \fBSGGBAL\fP .PP \fBPurpose:\fP .RS 4 .PP .nf SGGBAL balances a pair of general real 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 elements on the diagonal; and second, applying a diagonal similarity transformation to rows and columns ILO to IHI to make the rows and columns as close in norm as possible\&. Both steps are optional\&. Balancing may reduce the 1-norm of the matrices, and improve the accuracy of the computed eigenvalues and/or eigenvectors in the generalized eigenvalue problem A*x = lambda*B*x\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fIJOB\fP .PP .nf JOB is CHARACTER*1 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\&. .fi .PP .br \fIN\fP .PP .nf N is INTEGER The order of the matrices A and B\&. N >= 0\&. .fi .PP .br \fIA\fP .PP .nf A is REAL array, dimension (LDA,N) On entry, the input matrix A\&. On exit, A is overwritten by the balanced matrix\&. If JOB = 'N', A is not referenced\&. .fi .PP .br \fILDA\fP .PP .nf LDA is INTEGER The leading dimension of the array A\&. LDA >= max(1,N)\&. .fi .PP .br \fIB\fP .PP .nf B is REAL array, dimension (LDB,N) On entry, the input matrix B\&. On exit, B is overwritten by the balanced matrix\&. If JOB = 'N', B is not referenced\&. .fi .PP .br \fILDB\fP .PP .nf LDB is INTEGER The leading dimension of the array B\&. LDB >= max(1,N)\&. .fi .PP .br \fIILO\fP .PP .nf ILO is INTEGER .fi .PP .br \fIIHI\fP .PP .nf IHI is INTEGER 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\&. .fi .PP .br \fILSCALE\fP .PP .nf LSCALE is REAL array, dimension (N) 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\&. .fi .PP .br \fIRSCALE\fP .PP .nf RSCALE is REAL array, dimension (N) Details of the permutations and scaling factors applied to the right side of A and B\&. If P(j) is the index of the column interchanged with column j, and D(j) is the scaling factor applied to column 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\&. .fi .PP .br \fIWORK\fP .PP .nf WORK is REAL array, dimension (lwork) lwork must be at least max(1,6*N) when JOB = 'S' or 'B', and at least 1 when JOB = 'N' or 'P'\&. .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\&. .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 See R\&.C\&. WARD, Balancing the generalized eigenvalue problem, SIAM J\&. Sci\&. Stat\&. Comp\&. 2 (1981), 141-152\&. .fi .PP .RE .PP .SS "subroutine zggbal (character job, integer n, complex*16, dimension( lda, * ) a, integer lda, complex*16, dimension( ldb, * ) b, integer ldb, integer ilo, integer ihi, double precision, dimension( * ) lscale, double precision, dimension( * ) rscale, double precision, dimension( * ) work, integer info)" .PP \fBZGGBAL\fP .PP \fBPurpose:\fP .RS 4 .PP .nf 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 elements on the diagonal; and second, applying a diagonal similarity transformation to rows and columns ILO to IHI to make the rows and columns as close in norm as possible\&. Both steps are optional\&. Balancing may reduce the 1-norm of the matrices, and improve the accuracy of the computed eigenvalues and/or eigenvectors in the generalized eigenvalue problem A*x = lambda*B*x\&. .fi .PP .RE .PP \fBParameters\fP .RS 4 \fIJOB\fP .PP .nf JOB is CHARACTER*1 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\&. .fi .PP .br \fIN\fP .PP .nf N is INTEGER The order of the matrices A and B\&. N >= 0\&. .fi .PP .br \fIA\fP .PP .nf A is COMPLEX*16 array, dimension (LDA,N) On entry, the input matrix A\&. On exit, A is overwritten by the balanced matrix\&. If JOB = 'N', A is not referenced\&. .fi .PP .br \fILDA\fP .PP .nf LDA is INTEGER The leading dimension of the array A\&. LDA >= max(1,N)\&. .fi .PP .br \fIB\fP .PP .nf B is COMPLEX*16 array, dimension (LDB,N) On entry, the input matrix B\&. On exit, B is overwritten by the balanced matrix\&. If JOB = 'N', B is not referenced\&. .fi .PP .br \fILDB\fP .PP .nf LDB is INTEGER The leading dimension of the array B\&. LDB >= max(1,N)\&. .fi .PP .br \fIILO\fP .PP .nf ILO is INTEGER .fi .PP .br \fIIHI\fP .PP .nf IHI is INTEGER 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\&. .fi .PP .br \fILSCALE\fP .PP .nf LSCALE is DOUBLE PRECISION array, dimension (N) 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\&. .fi .PP .br \fIRSCALE\fP .PP .nf RSCALE is DOUBLE PRECISION array, dimension (N) Details of the permutations and scaling factors applied to the right side of A and B\&. If P(j) is the index of the column interchanged with column j, and D(j) is the scaling factor 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\&. .fi .PP .br \fIWORK\fP .PP .nf WORK is DOUBLE PRECISION array, dimension (lwork) lwork must be at least max(1,6*N) when JOB = 'S' or 'B', and at least 1 when JOB = 'N' or 'P'\&. .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\&. .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 See R\&.C\&. WARD, Balancing the generalized eigenvalue problem, SIAM J\&. Sci\&. Stat\&. Comp\&. 2 (1981), 141-152\&. .fi .PP .RE .PP .SH "Author" .PP Generated automatically by Doxygen for LAPACK from the source code\&.