ivp#
- scipy.special.ivp(v, z, n=1)[source]#
- Compute derivatives of modified Bessel functions of the first kind. - Compute the nth derivative of the modified Bessel function Iv with respect to z. - Parameters:
- varray_like or float
- Order of Bessel function 
- zarray_like
- Argument at which to evaluate the derivative; can be real or complex. 
- nint, default 1
- Order of derivative. For 0, returns the Bessel function - ivitself.
 
- Returns:
- scalar or ndarray
- nth derivative of the modified Bessel function. 
 
 - See also - 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 first kind of order 0 and its first two derivatives at 1. - >>> from scipy.special import ivp >>> ivp(0, 1, 0), ivp(0, 1, 1), ivp(0, 1, 2) (1.2660658777520084, 0.565159103992485, 0.7009067737595233) - Compute the first derivative of the modified Bessel function of the first kind for several orders at 1 by providing an array for v. - >>> ivp([0, 1, 2], 1, 1) array([0.5651591 , 0.70090677, 0.29366376]) - Compute the first derivative of the modified Bessel 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., 1.5, 3.]) >>> ivp(0, points, 1) array([0. , 0.98166643, 3.95337022]) - Plot the modified Bessel function of the first kind of order 1 and its first three derivatives. - >>> import matplotlib.pyplot as plt >>> x = np.linspace(-5, 5, 1000) >>> fig, ax = plt.subplots() >>> ax.plot(x, ivp(1, x, 0), label=r"$I_1$") >>> ax.plot(x, ivp(1, x, 1), label=r"$I_1'$") >>> ax.plot(x, ivp(1, x, 2), label=r"$I_1''$") >>> ax.plot(x, ivp(1, x, 3), label=r"$I_1'''$") >>> plt.legend() >>> plt.show() 