Python | Numpy np.leggauss() method
Last Updated :
31 Dec, 2019
np.leggauss()
Computes the sample points and weights for Gauss-legendre quadrature. These sample points and weights will correctly integrate polynomials of degree 2*deg - 1
or less over the interval [-1, 1]
with the weight function f(x) = 1
Syntax : np.leggauss(deg)
Parameters:
deg :[int] Number of sample points and weights. It must be >= 1.
Return : 1.[ndarray] 1-D ndarray containing the sample points.
2.[ndarray] 1-D ndarray containing the weights.
Code #1 :
import numpy as np
import numpy.polynomial.legendre as geek
degree = 2
res = geek.leggauss(degree)
print (res)
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Output:
(array([-0.57735027, 0.57735027]), array([ 1., 1.]))
Code #2 :
import numpy as np
import numpy.polynomial.legendre as geek
degree = 3
res = geek.leggauss(degree)
print (res)
|
Output:
(array([-0.77459667, 0., 0.77459667]), array([ 0.55555556, 0.88888889, 0.55555556]))
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