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Python | Numpy np.leggauss()方法

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

**np.leggauss()**计算高斯-勒让德求积的样本点和权重。这些样本点和权重将在区间[-1, 1]上正确地将次数2*deg - 1 或更少的多项式与权重函数f(x) = 1积分

语法: np.leggauss(deg) 参数: deg:【int】样本点数量和权重。肯定是> = 1。

返回: 1。包含样本点的一维数组。 2。包含权重的一维数组。

代码#1 :

# Python program explaining
# numpy.leggauss() method 

# importing numpy as np  
# and numpy.polynomial.legendre module as geek 
import numpy as np 
import numpy.polynomial.legendre as geek

# Input degree = 2

degree = 2 

# using np.leggauss() method 
res = geek.leggauss(degree) 

# Resulting array of sample point and weight
print (res) 

Output:

(array([-0.57735027,  0.57735027]), array([ 1.,  1.]))

代码#2 :

# Python program explaining
# numpy.leggauss() method 

# importing numpy as np  
# and numpy.polynomial.legendre module as geek 
import numpy as np 
import numpy.polynomial.legendre as geek

# Input degree
degree = 3

# using np.leggauss() method 
res = geek.leggauss(degree) 

# Resulting array of sample point and weight
print (res) 

Output:

(array([-0.77459667,  0.,  0.77459667]), array([ 0.55555556,  0.88888889,  0.55555556]))



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