cgeequ - compute row and column scalings intended to equilibrate an M-by-N matrix A and reduce its condition number
SUBROUTINE CGEEQU( M, N, A, LDA, ROWSC, COLSC, ROWCND, COLCND, AMAX, * INFO) COMPLEX A(LDA,*) INTEGER M, N, LDA, INFO REAL ROWCND, COLCND, AMAX REAL ROWSC(*), COLSC(*)
SUBROUTINE CGEEQU_64( M, N, A, LDA, ROWSC, COLSC, ROWCND, COLCND, * AMAX, INFO) COMPLEX A(LDA,*) INTEGER*8 M, N, LDA, INFO REAL ROWCND, COLCND, AMAX REAL ROWSC(*), COLSC(*)
SUBROUTINE GEEQU( [M], [N], A, [LDA], ROWSC, COLSC, ROWCND, COLCND, * AMAX, [INFO]) COMPLEX, DIMENSION(:,:) :: A INTEGER :: M, N, LDA, INFO REAL :: ROWCND, COLCND, AMAX REAL, DIMENSION(:) :: ROWSC, COLSC
SUBROUTINE GEEQU_64( [M], [N], A, [LDA], ROWSC, COLSC, ROWCND, * COLCND, AMAX, [INFO]) COMPLEX, DIMENSION(:,:) :: A INTEGER(8) :: M, N, LDA, INFO REAL :: ROWCND, COLCND, AMAX REAL, DIMENSION(:) :: ROWSC, COLSC
#include <sunperf.h>
void cgeequ(int m, int n, complex *a, int lda, float *rowsc, float *colsc, float *rowcnd, float *colcnd, float *amax, int *info);
void cgeequ_64(long m, long n, complex *a, long lda, float *rowsc, float *colsc, float *rowcnd, float *colcnd, float *amax, long *info);
cgeequ computes row and column scalings intended to equilibrate an
M-by-N matrix A and reduce its condition number. R returns the row
scale factors and C the column scale factors, chosen to try to make
the largest element in each row and column of the matrix B with
elements B(i,j)=R(i)*A(i,j)*C(j)
have absolute value 1.
R(i)
and C(j)
are restricted to be between SMLNUM = smallest safe
number and BIGNUM = largest safe number. Use of these scaling
factors is not guaranteed to reduce the condition number of A but
works well in practice.
ROWSC(i)
to the largest ROWSC(i). If ROWCND > = 0.1 and
AMAX is neither too large nor too small, it is not worth
scaling by ROWSC.
COLSC(i)
to the largest COLSC(i). If COLCND > = 0.1, it is not
worth scaling by COLSC.
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an illegal value
> 0: if INFO = i, and i is
< = M: the i-th row of A is exactly zero
> M: the (i-M)-th column of A is exactly zero