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Showing content from https://docs.scipy.org/doc/numpy/reference/generated/numpy.i0.html below:

numpy.i0 — NumPy v2.3 Manual

numpy.i0(x)[source]#

Modified Bessel function of the first kind, order 0.

Usually denoted \(I_0\).

Parameters:

xarray_like of float

Argument of the Bessel function.

Returns:

outndarray, shape = x.shape, dtype = float

The modified Bessel function evaluated at each of the elements of x.

Notes

The scipy implementation is recommended over this function: it is a proper ufunc written in C, and more than an order of magnitude faster.

We use the algorithm published by Clenshaw [1] and referenced by Abramowitz and Stegun [2], for which the function domain is partitioned into the two intervals [0,8] and (8,inf), and Chebyshev polynomial expansions are employed in each interval. Relative error on the domain [0,30] using IEEE arithmetic is documented [3] as having a peak of 5.8e-16 with an rms of 1.4e-16 (n = 30000).

References

[1]

C. W. Clenshaw, “Chebyshev series for mathematical functions”, in National Physical Laboratory Mathematical Tables, vol. 5, London: Her Majesty’s Stationery Office, 1962.

Examples

>>> import numpy as np
>>> np.i0(0.)
array(1.0)
>>> np.i0([0, 1, 2, 3])
array([1.        , 1.26606588, 2.2795853 , 4.88079259])

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