dgelsx(3)

NAME

DGELSX - routine is deprecated and has been replaced by
routine DGELSY

SYNOPSIS

SUBROUTINE  DGELSX(  M,  N,  NRHS,  A,  LDA, B, LDB, JPVT,
RCOND, RANK, WORK, INFO )
    INTEGER        INFO, LDA, LDB, M, N, NRHS, RANK
    DOUBLE         PRECISION RCOND
    INTEGER        JPVT( * )
    DOUBLE         PRECISION A( LDA, * ),  B(  LDB,  *  ),
WORK( * )

PURPOSE

This routine is deprecated and has been replaced by rou
tine DGELSY. DGELSX computes the minimum-norm solution to a real
linear least squares problem:
minimize || A * X - B
using a complete orthogonal factorization of A. A is an
M-by-N matrix which may be rank-deficient.
Several right hand side vectors b and solution vectors x
can be handled in a single call; they are stored as the columns
of the M-by-NRHS right hand side matrix B and the N-by-NRHS solu
tion matrix X.
The routine first computes a QR factorization with column
pivoting:
A * P = Q * [ R11 R12 ]
[ 0 R22 ]
with R11 defined as the largest leading submatrix whose
estimated condition number is less than 1/RCOND. The order of
R11, RANK, is the effective rank of A.
Then, R22 is considered to be negligible, and R12 is anni
hilated by orthogonal transformations from the right, arriving at
the complete orthogonal factorization:
A * P = Q * [ T11 0 ] * Z
[ 0 0 ]
The minimum-norm solution is then
X = P * Z' [ inv(T11)*Q1'*B ]
[ 0 ]
where Q1 consists of the first RANK columns of Q.

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.
NRHS (input) INTEGER
The number of right hand sides, i.e., the number
of columns of matrices B and X. NRHS >= 0.
A (input/output) DOUBLE PRECISION array, dimension
(LDA,N)
On entry, the M-by-N matrix A. On exit, A has
been overwritten by details of its complete orthogonal factoriza
tion.
LDA (input) INTEGER
The leading dimension of the array A. LDA >=
max(1,M).
B (input/output) DOUBLE PRECISION array, dimension
(LDB,NRHS)
On entry, the M-by-NRHS right hand side matrix B.
On exit, the N-by-NRHS solution matrix X. If m >= n and RANK =
n, the residual sum-of-squares for the solution in the i-th col
umn is given by the sum of squares of elements N+1:M in that col
umn.
LDB (input) INTEGER
The leading dimension of the array B. LDB >=
max(1,M,N).
JPVT (input/output) INTEGER array, dimension (N)
On entry, if JPVT(i) .ne. 0, the i-th column of A
is an initial column, otherwise it is a free column. Before the
QR factorization of A, all initial columns are permuted to the
leading positions; only the remaining free columns are moved as a
result of column pivoting during the factorization. On exit, if
JPVT(i) = k, then the i-th column of A*P was the k-th column of
A.
RCOND (input) DOUBLE PRECISION
RCOND is used to determine the effective rank of
A, which is defined as the order of the largest leading triangu
lar submatrix R11 in the QR factorization with pivoting of A,
whose estimated condition number < 1/RCOND.
RANK (output) INTEGER
The effective rank of A, i.e., the order of the
submatrix R11. This is the same as the order of the submatrix
T11 in the complete orthogonal factorization of A.
WORK (workspace) DOUBLE PRECISION array, dimension
(max( min(M,N)+3*N, 2*min(M,N)+NRHS )),
INFO (output) INTEGER
= 0: successful exit
< 0: if INFO = -i, the i-th argument had an ille
gal value
LAPACK version 3.0 15 June 2000
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