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Module « scipy.special »
Signature de la fonction kvp
def kvp(v, z, n=1)
Description
help(scipy.special.kvp)
Compute derivatives of real-order modified Bessel function Kv(z)
Kv(z) is the modified Bessel function of the second kind.
Derivative is calculated with respect to `z`.
Parameters
----------
v : array_like of float
Order of Bessel function
z : array_like of complex
Argument at which to evaluate the derivative
n : int, default 1
Order of derivative. For 0 returns the Bessel function `kv` itself.
Returns
-------
out : ndarray
The results
See Also
--------
kv
Notes
-----
The derivative is computed using the relation DLFM 10.29.5 [2]_.
References
----------
.. [1] Zhang, Shanjie and Jin, Jianming. "Computation of Special
Functions", John Wiley and Sons, 1996, chapter 6.
https://people.sc.fsu.edu/~jburkardt/f77_src/special_functions/special_functions.html
.. [2] NIST Digital Library of Mathematical Functions.
https://dlmf.nist.gov/10.29.E5
Examples
--------
Compute the modified bessel function of the second kind of order 0 and
its first two derivatives at 1.
>>> from scipy.special import kvp
>>> kvp(0, 1, 0), kvp(0, 1, 1), kvp(0, 1, 2)
(0.42102443824070834, -0.6019072301972346, 1.0229316684379428)
Compute the first derivative of the modified Bessel function of the second
kind for several orders at 1 by providing an array for `v`.
>>> kvp([0, 1, 2], 1, 1)
array([-0.60190723, -1.02293167, -3.85158503])
Compute the first derivative of the modified Bessel function of the
second kind of order 0 at several points by providing an array for `z`.
>>> import numpy as np
>>> points = np.array([0.5, 1.5, 3.])
>>> kvp(0, points, 1)
array([-1.65644112, -0.2773878 , -0.04015643])
Plot the modified bessel function of the second kind and its
first three derivatives.
>>> import matplotlib.pyplot as plt
>>> x = np.linspace(0, 5, 1000)
>>> fig, ax = plt.subplots()
>>> ax.plot(x, kvp(1, x, 0), label=r"$K_1$")
>>> ax.plot(x, kvp(1, x, 1), label=r"$K_1'$")
>>> ax.plot(x, kvp(1, x, 2), label=r"$K_1''$")
>>> ax.plot(x, kvp(1, x, 3), label=r"$K_1'''$")
>>> ax.set_ylim(-2.5, 2.5)
>>> plt.legend()
>>> plt.show()
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