This information is part of the Modelica Standard Library maintained by the Modelica Association.

Lapack documentation
    Purpose
    =======

    This routine is deprecated and has been replaced by routine DGELSY.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 solution
    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 annihilated
    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 factorization.

    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 column is given by the sum of
            squares of elements N+1:M in that column.

    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 triangular
            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 illegal value