(matrix_a)
return _linalg.doolittle(matrix_a)
LU-Factorization method using Doolittle's Method for solution of linear systems.

    Decomposes the matrix :math:`A` such that :math:`A = LU`.

    The input matrix is represented by a list or a tuple. The input matrix is **2-dimensional**, i.e. list of lists of
    integers and/or floats.

    :param matrix_a: Input matrix (must be a square matrix)
    :type matrix_a: list, tuple
    :return: a tuple containing matrices L and U
    :rtype: tuple
LU-Factorization method using Doolittle's Method for solution of linear systems.
LU - Factorization method using Doolittle s Method for solution of linear systems .
def lu_decomposition(matrix_a):
    """ LU-Factorization method using Doolittle's Method for solution of linear systems.

    Decomposes the matrix :math:`A` such that :math:`A = LU`.

    The input matrix is represented by a list or a tuple. The input matrix is **2-dimensional**, i.e. list of lists of
    integers and/or floats.

    :param matrix_a: Input matrix (must be a square matrix)
    :type matrix_a: list, tuple
    :return: a tuple containing matrices L and U
    :rtype: tuple
    """
    # Check if the 2-dimensional input matrix is a square matrix
    q = len(matrix_a)
    for idx, m_a in enumerate(matrix_a):
        if len(m_a) != q:
            raise ValueError("The input must be a square matrix. " +
                             "Row " + str(idx + 1) + " has a size of " + str(len(m_a)) + ".")

    # Return L and U matrices
    return _linalg.doolittle(matrix_a)
def lu_decomposition ( matrix_a ) : # Check if the 2-dimensional input matrix is a square matrix q = len ( matrix_a ) for idx , m_a in enumerate ( matrix_a ) : if len ( m_a ) != q : raise ValueError ( "The input must be a square matrix. " + "Row " + str ( idx + 1 ) + " has a size of " + str ( len ( m_a ) ) + "." ) # Return L and U matrices return _linalg . doolittle ( matrix_a )