NAME¶

DSYEQUB - computes row and column scalings intended to equilibrate a symmetric matrix A and reduce its condition number (with respect to the two-norm)

SYNOPSIS¶

SUBROUTINE DSYEQUB(

UPLO, N, A, LDA, S, SCOND, AMAX, WORK, INFO )

IMPLICIT NONE INTEGER INFO, LDA, N DOUBLE PRECISION AMAX, SCOND CHARACTER UPLO DOUBLE PRECISION A( LDA, * ), S( * ), WORK( * )

PURPOSE¶

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 scalings.

ARGUMENTS¶

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 are referenced.

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.