np.laggauss()
计算Gauss-Laguerre正交的采样点和权重。这些采样点和权重将正确积分度的多项式2*deg - 1
在间隔内或更少[0, inf]
配重函数f(x) = exp(-x)
用法:np.laggauss(deg)
参数:
deg :[int] Number of sample points and weights. It must be >= 1.
返回:1. [ndarray]包含样本点的一维ndarray。
2. [ndarray]包含权重的一维ndarray。
代码1:
# Python program explaining
# numpy.laggauss() method
# importing numpy as np
# and numpy.polynomial.laguerre module as geek
import numpy as np
import numpy.polynomial.laguerre as geek
# Input degree = 2
degree = 2
# using np.laggauss() method
res = geek.laggauss(degree)
# Resulting array of sample point and weight
print (res)
输出:
(array([ 0.58578644, 3.41421356]), array([ 0.85355339, 0.14644661]))
代码2:
# Python program explaining
# numpy.laggauss() method
# importing numpy as np
# and numpy.polynomial.laguerre module as geek
import numpy as np
import numpy.polynomial.laguerre as geek
# Input degree
degree = 3
# using np.laggauss() method
res = geek.laggauss(degree)
# Resulting array of sample point and weight
print (res)
输出:
(array([ 0.41577456, 2.29428036, 6.28994508]), array([ 0.71109301, 0.27851773, 0.01038926]))
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