Python| Numpy np.legcompanion() 方法
np.legcompanion()
方法用于返回legendre系列的伴随矩阵。
Syntax : np.legcompanion(c)
Parameters:
c :[array_like] 1-D arrays of legendre series coefficients ordered from low to high.
Return : [ndarray] Companion matrix of dimensions (deg, deg).
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)
输出:
[[ 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)
输出:
[[ 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]]