SGEEQU(3)      LAPACK routine of NEC Numeric Library Collection      SGEEQU(3)



NAME
       SGEEQU

SYNOPSIS
       SUBROUTINE SGEEQU (M, N, A, LDA, R, C, ROWCND, COLCND, AMAX, INFO)



PURPOSE
            SGEEQU 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.




ARGUMENTS
           M         (input)
                     M is INTEGER
                     The number of rows of the matrix A.  M >= 0.

           N         (input)
                     N is INTEGER
                     The number of columns of the matrix A.  N >= 0.

           A         (input)
                     A is REAL array, dimension (LDA,N)
                     The M-by-N matrix whose equilibration factors are
                     to be computed.

           LDA       (input)
                     LDA is INTEGER
                     The leading dimension of the array A.  LDA >= max(1,M).

           R         (output)
                     R is REAL array, dimension (M)
                     If INFO = 0 or INFO > M, R contains the row scale factors
                     for A.

           C         (output)
                     C is REAL array, dimension (N)
                     If INFO = 0,  C contains the column scale factors for A.

           ROWCND    (output)
                     ROWCND is 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.

           COLCND    (output)
                     COLCND is 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)
                     AMAX is 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)
                     INFO is 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



LAPACK routine                  31 October 2017                      SGEEQU(3)