CGEEQU(3F) CGEEQU(3F)
CGEEQU - compute row and column scalings intended to equilibrate an Mby-N
matrix A and reduce its condition number
SUBROUTINE CGEEQU( M, N, A, LDA, R, C, ROWCND, COLCND, AMAX, INFO )
INTEGER INFO, LDA, M, N
REAL AMAX, COLCND, ROWCND
REAL C( * ), R( * )
COMPLEX A( LDA, * )
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.
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
A (input) COMPLEX array, dimension (LDA,N)
The M-by-N matrix whose equilibration factors are to be computed.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
R (output) REAL array, dimension (M)
If INFO = 0 or INFO > M, R contains the row scale factors for A.
C (output) REAL array, dimension (N)
If INFO = 0, C contains the column scale factors for A.
ROWCND (output) REAL
If INFO = 0 or INFO > M, ROWCND contains the ratio of the
smallest R(i) to the largest R(i). If ROWCND >= 0.1 and AMAX is
neither too large nor too small, it is not worth scaling by R.
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CGEEQU(3F) CGEEQU(3F)
COLCND (output) REAL
If INFO = 0, COLCND contains the ratio of the smallest C(i) to
the largest C(i). If COLCND >= 0.1, it is not worth scaling by
C.
AMAX (output) REAL
Absolute value of largest matrix element. If AMAX is very close
to overflow or very close to underflow, the matrix should be
scaled.
INFO (output) INTEGER
= 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
CGEEQU(3F) CGEEQU(3F)
CGEEQU - compute row and column scalings intended to equilibrate an Mby-N
matrix A and reduce its condition number
SUBROUTINE CGEEQU( M, N, A, LDA, R, C, ROWCND, COLCND, AMAX, INFO )
INTEGER INFO, LDA, M, N
REAL AMAX, COLCND, ROWCND
REAL C( * ), R( * )
COMPLEX A( LDA, * )
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.
M (input) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
A (input) COMPLEX array, dimension (LDA,N)
The M-by-N matrix whose equilibration factors are to be computed.
LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,M).
R (output) REAL array, dimension (M)
If INFO = 0 or INFO > M, R contains the row scale factors for A.
C (output) REAL array, dimension (N)
If INFO = 0, C contains the column scale factors for A.
ROWCND (output) REAL
If INFO = 0 or INFO > M, ROWCND contains the ratio of the
smallest R(i) to the largest R(i). If ROWCND >= 0.1 and AMAX is
neither too large nor too small, it is not worth scaling by R.
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CGEEQU(3F) CGEEQU(3F)
COLCND (output) REAL
If INFO = 0, COLCND contains the ratio of the smallest C(i) to
the largest C(i). If COLCND >= 0.1, it is not worth scaling by
C.
AMAX (output) REAL
Absolute value of largest matrix element. If AMAX is very close
to overflow or very close to underflow, the matrix should be
scaled.
INFO (output) INTEGER
= 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
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