Python | Numpy NP . lag company()方法
原文:https://www . geesforgeks . org/python-numpy-NP-lag companion-method/
**np.lagcompanion()**方法用于返回拉盖尔系列的伴矩阵。
语法:
np.lagcompanion(c)参数: c:【array _ like】从低到高排序的拉盖尔级数系数一维数组。返回:【n 数组】维度的伴随矩阵(度，度)。
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)
Output:
[[ 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)
Output:
[[ 1\. -1\. 0\. 0.8]
[ -1\. 3\. -2\. 1.6]
[ 0\. -2\. 5\. -0.6]
[ 0\. 0\. -3\. 10.2]]
