Python | Numpy NP . legcompany()方法
原文:https://www . geesforgeks . org/python-numpy-NP-leg companion-method/
**np.legcompanion()**方法用于返回勒让德系列的伴随矩阵。
语法:
np.legcompanion(c)参数: c:【array _ like】勒让德级数系数的一维数组从低到高排序。返回:【n 数组】维度的伴随矩阵(度，度)。
代码#1 :
# Python program explaining
# numpy.legcompanion() method
# importing numpy as np
# and numpy.polynomial.legendre module as geek
import numpy as np
import numpy.polynomial.legendre as geek
# Input legendre series coefficients
s = (2, 4, 8)
# using np.legcompanion() method
res = geek.legcompanion(s)
# Resulting Companion matrix
print (res)
Output:
[[ 0\. 0.28867513]
[ 0.57735027 -0.33333333]]
代码#2 :
# Python program explaining
# numpy.legcompanion() method
# importing numpy as np
# and numpy.polynomial.legendre module as geek
import numpy as np
import numpy.polynomial.legendre as geek
# legendre series coefficients
s = (1, 2, 3, 4, 5)
# using np.legcompanion() method
res = geek.legcompanion(s)
# Resulting Companion matrix
print (res)
Output:
[[ 0\. 0.57735027 0\. -0.30237158]
[ 0.57735027 0\. 0.51639778 -0.34914862]
[ 0\. 0.51639778 0\. 0.10141851]
[ 0\. 0\. 0.50709255 -0.45714286]]
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