Python | Numpy np.laggauss() method Last Updated : 29 Dec, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report np.laggauss() Computes the sample points and weights for Gauss-Laguerre quadrature. These sample points and weights will correctly integrate polynomials of degree 2*deg - 1 or less over the interval [0, inf] with the weight function f(x) = exp(-x) Syntax : np.laggauss(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 : Python3 # Python program explaining # numpy.laggauss() method # importing numpy as np # and numpy.polynomial.laguerre module as geek import numpy as np import numpy.polynomial.laguerre as geek # Input degree = 2 degree = 2 # using np.laggauss() method res = geek.laggauss(degree) # Resulting array of sample point and weight print (res) Output: (array([ 0.58578644, 3.41421356]), array([ 0.85355339, 0.14644661])) Code #2 : Python3 # Python program explaining # numpy.laggauss() method # importing numpy as np # and numpy.polynomial.laguerre module as geek import numpy as np import numpy.polynomial.laguerre as geek # Input degree degree = 3 # using np.laggauss() method res = geek.laggauss(degree) # Resulting array of sample point and weight print (res) Output: (array([ 0.41577456, 2.29428036, 6.28994508]), array([ 0.71109301, 0.27851773, 0.01038926])) Comment More infoAdvertise with us Next Article Python | Numpy np.lagadd() method J jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads Python | Numpy np.leggauss() method 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 1 min read Python | Numpy np.lagmul() method np.lagmul() method is used to multiply one Laguerre series to another.It returns the product of two Laguerre series c1 * c2. Syntax : np.lagmul(c1, c2) Parameters: c1, c2 :[ array_like ] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] Laguerre series coefficie 1 min read Python | Numpy np.lagsub() method np.lagub() method is used to subtract one Laguerre series to another.It returns the difference of two Laguerre series c1 - c2. Syntax : np.lagub(c1, c2) Parameters: c1, c2 :[ array_like ] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] Laguerre series coeffici 1 min read Python | Numpy np.lagadd() method np.lagadd() method is used to add one Laguerre series to another.It returns the sum of two Laguerre series c1 + c2. Syntax : np.lagadd(c1, c2) Parameters: c1, c2 :[ array_like ] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] Array representing the Laguerre se 1 min read Python | Numpy np.lagval() method With the help of np.lagval() method, we can get the laguerre series at point x by using np.lagval() method. Syntax : np.lagval(x, c) Return : Return the laguerre series at point x. Example #1 : In this example we can see that by using np.lagval() method, we are able to get the laguerre series at poi 1 min read Python | Numpy np.hermgauss() method With the help of np.hermgauss() method, we can get the quadrature value of gaussian hermite by using np.hermgauss() method. Syntax : np.hermgauss(degree) Return : Return the quadrature of gaussian hermite. Example #1 : In this example we can see that by using np.hermgauss() method, we are able to ge 1 min read Like