bundles / scipy 1.18.0 / scipy / special / _basic / h1vp
function
scipy.special._basic:h1vp
source: /scipy/special/_basic.py:1140
Signature
def h1vp(v, z, n = 1)Summary
Compute derivatives of Hankel function H1v(z) with respect to z.
Parameters
v: array_likeOrder of Hankel function
z: array_likeArgument at which to evaluate the derivative. Can be real or complex.
n: int, default 1Order of derivative. For 0 returns the Hankel function hankel1 itself.
Returns
: scalar or ndarrayValues of the derivative of the Hankel function.
Notes
The derivative is computed using the relation DLFM 10.6.7 [2].
Examples
Compute the Hankel function of the first kind of order 0 and its first two derivatives at 1.from scipy.special import h1vp
✓h1vp(0, 1, 0), h1vp(0, 1, 1), h1vp(0, 1, 2)
✗(np.complex128(0.7651976865579664+0.088256964215677j), np.complex128(-0.44005058574493355+0.7812128213002889j), np.complex128(-0.3251471008130329-0.8694697855159659j))Compute the first derivative of the Hankel function of the first kind for several orders at 1 by providing an array for `v`.
h1vp([0, 1, 2], 1, 1)
✗array([-0.44 +0.781j, 0.325+0.869j, 0.21 +2.52j ])Compute the first derivative of the Hankel function of the first 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.])✓
h1vp(0, points, 1)
✗array([-0.242+1.471j, -0.558+0.412j, -0.339-0.325j])
See also
Aliases
scipy.special.h1vp