Python | Numpy np.leggauss()方法
原文:https://www . geesforgeks . org/python-numpy-NP-leggauss-method/
**np.leggauss()**计算高斯-勒让德求积的样本点和权重。这些样本点和权重将在区间[-1, 1]上正确地将次数2*deg - 1 或更少的多项式与权重函数f(x) = 1积分
语法:
np.leggauss(deg)参数: deg:【int】样本点数量和权重。肯定是> = 1。返回: 1。包含样本点的一维数组。 2。包含权重的一维数组。
代码#1 :
# Python program explaining
# numpy.leggauss() method
# importing numpy as np
# and numpy.polynomial.legendre module as geek
import numpy as np
import numpy.polynomial.legendre as geek
# Input degree = 2
degree = 2
# using np.leggauss() method
res = geek.leggauss(degree)
# Resulting array of sample point and weight
print (res)
Output:
(array([-0.57735027, 0.57735027]), array([ 1., 1.]))
代码#2 :
# Python program explaining
# numpy.leggauss() method
# importing numpy as np
# and numpy.polynomial.legendre module as geek
import numpy as np
import numpy.polynomial.legendre as geek
# Input degree
degree = 3
# using np.leggauss() method
res = geek.leggauss(degree)
# Resulting array of sample point and weight
print (res)
Output:
(array([-0.77459667, 0., 0.77459667]), array([ 0.55555556, 0.88888889, 0.55555556]))
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