Python Numpy np.leggauss()用法及代码示例

np.leggauss()计算Gauss-legendre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[-1, 1]配重函数f(x) = 1

用法： np.leggauss(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.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)

输出：

(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)

输出：

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

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注：本文由纯净天空筛选整理自jana_sayantan大神的英文原创作品 Python | Numpy np.leggauss() method。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。