Python Numpy np.lagcompanion()方法

np.lagcompanion()方法用于返回Laguerre序列的伴生矩阵。

语法: np.lagcompanion(c)
参数:
c : [array_like] 拉盖尔数列系数的一维数组，从低到高排序。

返回： [ndarray] 伴生矩阵的尺寸（deg, deg）。

代码#1：

# Python program explaining
# numpy.lagcompanion() method 
    
# importing numpy as np  
# and numpy.polynomial.laguerre module as geek 
import numpy as np 
import numpy.polynomial.laguerre as geek
    
# Input laguerre series coefficients
  
s = (2, 4, 8) 
     
# using np.lagcompanion() method 
res = geek.lagcompanion(s) 
  
# Resulting Companion matrix
print (res) 

输出:

[[ 1.  -0.5]
 [-1.   4. ]]

代码#2：

# Python program explaining
# numpy.lagcompanion() method 
    
# importing numpy as np  
# and numpy.polynomial.laguerre module as geek 
import numpy as np 
import numpy.polynomial.laguerre as geek
    
# Laguerre series coefficients
s = (1, 2, 3, 4, 5) 
  
    
# using np.lagcompanion() method 
res = geek.lagcompanion(s) 
  
# Resulting Companion matrix
print (res) 

输出:

[[  1.   -1.    0.    0.8]
 [ -1.    3.   -2.    1.6]
 [  0.   -2.    5.   -0.6]
 [  0.    0.   -3.   10.2]]