Python | Numpy np.hermweight()方法

原文:https://www . geesforgeks . org/python-numpy-NP-herm weight-method/

借助**np.hermweight()**方法,利用np.hermweight()方法在 hermite 级数中应用权函数,可以得到 hermite 多项式。

语法: np.hermweight(series) 返回:返回埃尔米特多项式的系数。

示例#1 : 在这个示例中我们可以看到,通过使用np.hermweight()方法,我们能够通过使用该方法在 hermite 级数中应用权函数来获得 hermite 多项式。

# import numpy and hermweight
import numpy as np
from numpy.polynomial.hermite import hermweight

series = np.array([6, 7, 8, 9, 10])
# using np.hermweight() method
gfg = hermweight(series)

print(gfg)

输出:

[2.31952283 e-16 5.24288566 e-22 1.60381089 e-28 6.63967720 e-36 3.72007598 e-44]

例 2 :

# import numpy and hermweight
import numpy as np
from numpy.polynomial.hermite import hermweight

series = np.array([0, -7, 8, -9, 1])
# using np.hermweight() method
gfg = hermweight(series)

print(gfg)

输出:

[1.00000000 e+00 5.24288566 e-22 1.60381089 e-28 6.63967720 e-36 3.67879441 e-01]