bundles / scipy latest / scipy / special / _basic / kvp
function
scipy.special._basic:kvp
source: build-install/usr/lib/python3.14/site-packages/scipy/special/_basic.py:978
Signature
def kvp(v, z, n = 1)Summary
Compute derivatives of real-order modified Bessel function Kv(z).
Extended Summary
Kv(z) is the modified Bessel function of the second kind. Derivative is calculated with respect to z.
Parameters
v: array_like of floatOrder of Bessel function
z: array_like of complexArgument at which to evaluate the derivative
n: int, default 1Order of derivative. For 0 returns the Bessel function kv itself.
Returns
out: ndarrayThe results
Notes
The derivative is computed using the relation DLFM 10.29.5 [2].
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)
✗(np.float64(0.42102443824070834), np.float64(-0.6019072301972346), np.float64(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([-0.602, -1.023, -3.852])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([-1.656, -0.277, -0.04 ])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()✗
<matplotlib.legend.Legend object at 0x7f3f68aeeba0>
plt.show()
✓
See also
Aliases
scipy.special.kvp