hm normalized by the Wronskian and a
    Neumann series for intermediate magnitudes, and the uniform asymptotic
    expansions for :math:`I_v(z)` and :math:`J_v(z)` for large orders.
    Backward recurrence is used to generate sequences or reduce orders when
    necessary.

    The calculations above are done in the right half plane and continued
    into the left half plane by the formula,

    .. math:: I_v(z \exp(\pm\imath\pi)) = \exp(\pm\pi v) I_v(z)

    (valid when the real part of `z` is positive).  For negative `v`, the
    formula

    .. math:: I_{-v}(z) = I_v(z) + \frac{2}{\pi} \sin(\pi v) K_v(z)

    is used, where :math:`K_v(z)` is the modified Bessel function of the
    second kind, evaluated using the AMOS routine `zbesk`.

    `ive` is useful for large arguments `z`: for these, `iv` easily overflows,
    while `ive` does not due to the exponential scaling.

    References
    ----------
    .. [1] Donald E. Amos, "AMOS, A Portable Package for Bessel Functions
           of a Complex Argument and Nonnegative Order",
           http://netlib.org/amos/

    Examples
    --------
    In the following example `iv` returns infinity whereas `ive` still returns
    a finite number.

    >>> from scipy.special import iv, ive
    >>> import numpy as np
    >>> import matplotlib.pyplot as plt
    >>> iv(3, 1000.), ive(3, 1000.)
    (inf, 0.01256056218254712)

    Evaluate the function at one point for different orders by
    providing a list or NumPy array as argument for the `v` parameter:

    >>> ive([0, 1, 1.5], 1.)
    array([0.46575961, 0.20791042, 0.10798193])

    Evaluate the function at several points for order 0 by providing an
    array for `z`.

    >>> points = np.array([-2., 0., 3.])
    >>> ive(0, points)
    array([0.30850832, 1.        , 0.24300035])

    Evaluate the function at several points for different orders by
    providing arrays for both `v` for `z`. Both arrays have to be
    broadcastable to the correct shape. To calculate the orders 0, 1
    and 2 for a 1D array of points:

    >>> ive([[0], [1], [2]], points)
    array([[ 0.30850832,  1.        ,  0.24300035],
           [-0.21526929,  0.        ,  0.19682671],
           [ 0.09323903,  0.        ,  0.11178255]])

    Plot the functions of order 0 to 3 from -5 to 5.

    >>> fig, ax = plt.subplots()
    >>> x = np.linspace(-5., 5., 1000)
    >>> for i in range(4):
    ...     ax.plot(x, ive(i, x), label=fr'$I_{i!r}(z)\cdot e^{{-|z|}}$')
    >>> ax.legend()
    >>> ax.set_xlabel(r"$z$")
    >>> plt.show()
    Ú