np.lagcompanion()
method is used to return the companion matrix of Laguerre series.
Syntax :
np.lagcompanion(c)
Parameters:
c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.Return : [ndarray] Companion matrix of dimensions (deg, deg).
Code #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)
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Output:
[[ 1. -0.5] [-1. 4. ]]
Code #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)
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Output:
[[ 1. -1. 0. 0.8] [ -1. 3. -2. 1.6] [ 0. -2. 5. -0.6] [ 0. 0. -3. 10.2]]