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Python Numpy np.lagcompanion()用法及代码示例

np.lagcompanion()方法用于返回Laguerre级数的伴随矩阵。

用法: np.lagcompanion(c)
参数:
c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.

返回:[ndarray]尺寸(度,度)的同伴矩阵。


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]]


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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.lagcompanion() method。非经特殊声明,原始代码版权归原作者所有,本译文的传播和使用请遵循“署名-相同方式共享 4.0 国际 (CC BY-SA 4.0)”协议。