computes row and column scalings intended to equilibrate a symmetric matrix A and reduce its condition number (with respect to the two-norm)
- SUBROUTINE DSYEQUB(
UPLO, N, A, LDA, S, SCOND, AMAX, WORK, INFO )
INFO, LDA, N
PRECISION AMAX, SCOND
PRECISION A( LDA, * ), S( * ), WORK( * )
DSYEQUB computes row and column scalings intended to equilibrate a
symmetric matrix A and reduce its condition number
(with respect to the two-norm). S contains the scale factors,
S(i) = 1/sqrt(A(i,i)), chosen so that the scaled matrix B with
elements B(i,j) = S(i)*A(i,j)*S(j) has ones on the diagonal. This
choice of S puts the condition number of B within a factor N of the
smallest possible condition number over all possible diagonal
- N (input) INTEGER
The order of the matrix A. N >= 0.
- A (input) DOUBLE PRECISION array, dimension (LDA,N)
The N-by-N symmetric matrix whose scaling
factors are to be computed. Only the diagonal elements of A
- LDA (input) INTEGER
The leading dimension of the array A. LDA >= max(1,N).
- S (output) DOUBLE PRECISION array, dimension (N)
If INFO = 0, S contains the scale factors for A.
- SCOND (output) DOUBLE PRECISION
If INFO = 0, S contains the ratio of the smallest S(i) to
the largest S(i). If SCOND >= 0.1 and AMAX is neither too
large nor too small, it is not worth scaling by S.
- AMAX (output) DOUBLE PRECISION
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, the i-th diagonal element is nonpositive.