mension 0
        for this action. The result is that every column of coefficients in
        `c` is evaluated for every element of `x`. If False, `x` is broadcast
        over the columns of `c` for the evaluation.  This keyword is useful
        when `c` is multidimensional. The default value is True.

        .. versionadded:: 1.7.0

    Returns
    -------
    values : ndarray, algebra_like
        The shape of the return value is described above.

    See Also
    --------
    hermval2d, hermgrid2d, hermval3d, hermgrid3d

    Notes
    -----
    The evaluation uses Clenshaw recursion, aka synthetic division.

    Examples
    --------
    >>> from numpy.polynomial.hermite import hermval
    >>> coef = [1,2,3]
    >>> hermval(1, coef)
    11.0
    >>> hermval([[1,2],[3,4]], coef)
    array([[ 11.,   51.],
           [115.,  203.]])

    r