zgbequ(3)

NAME

ZGBEQU - compute row and column scalings intended to equi
librate an M-by-N band matrix A and reduce its condition number

SYNOPSIS

SUBROUTINE  ZGBEQU(  M, N, KL, KU, AB, LDAB, R, C, ROWCND,
COLCND, AMAX, INFO )
    INTEGER        INFO, KL, KU, LDAB, M, N
    DOUBLE         PRECISION AMAX, COLCND, ROWCND
    DOUBLE         PRECISION C( * ), R( * )
    COMPLEX*16     AB( LDAB, * )

PURPOSE

ZGBEQU computes row and column scalings intended to equi
librate an M-by-N band 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 abso
lute value 1.
R(i) and C(j) are restricted to be between SMLNUM = small
est 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) INTEGER
The number of rows of the matrix A. M >= 0.
N (input) INTEGER
The number of columns of the matrix A. N >= 0.
KL (input) INTEGER
The number of subdiagonals within the band of A.
KL >= 0.
KU (input) INTEGER
The number of superdiagonals within the band of A.
KU >= 0.
AB (input) COMPLEX*16 array, dimension (LDAB,N)
The band matrix A, stored in rows 1 to KL+KU+1.
The j-th column of A is stored in the j-th column of the array AB
as follows: AB(ku+1+i-j,j) = A(i,j) for max(1,j
ku)<=i<=min(m,j+kl).
LDAB (input) INTEGER
The leading dimension of the array AB. LDAB >=
KL+KU+1.
R (output) DOUBLE PRECISION array, dimension (M)
If INFO = 0, or INFO > M, R contains the row scale
factors for A.
C (output) DOUBLE PRECISION array, dimension (N)
If INFO = 0, C contains the column scale factors
for A.
ROWCND (output) DOUBLE PRECISION
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) DOUBLE PRECISION
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) 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 ille
gal 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 version 3.0 15 June 2000
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