Python | Numpy np.lagder() method
np.lagroots() method is used to differentiate a Laguerre series.
Syntax :
np.lagder(c, m=1, scl=1, axis=0)
Parameters:
c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.
m :[int, optional] Number of derivatives taken, must be non-negative.Default is 1.
scl :[scalar, optional] Each differentiation is multiplied by scl .Default is 1.
axis :[ int, optional] Axis over which the derivative is taken.Default is 0.Return : [ndarray] Laguerre series of the derivative.
Code #1 :
# Python program explaining# numpy.lagder() 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.lagder() method res = geek.lagder(s) # Resulting laguerre series coefficientprint (res) |
Output:
[-12. -8.]
Code #2 :
# Python program explaining# numpy.lagder() method # importing numpy as np # and numpy.polynomial.laguerre module as geek import numpy as np import numpy.polynomial.laguerre as geek # Laguerre series coefficientss = (1, 2, 3, 4, 5) # using np.lagder() method res = geek.lagder(s, m = 2, scl = 0.5) # Resulting laguerre seriesprint (res) |
Output:
[ 6.5 3.5 1.25]
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