Python | Numpy np.lagadd() method Last Updated : 29 Dec, 2019 Comments Improve Suggest changes Like Article Like Report 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 series of their sum. Code #1 : Python3 # Python program explaining # numpy.lagadd() 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 s1 = (1, 3, 5) s2 = (2, 4, 6) # using np.lagadd() method res = geek.lagadd(s1, s2) # Resulting laguerre series print (res) Output: [ 3. 7. 11.] Code #2 : Python3 # Python program explaining # numpy.lagadd() 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 s1 = (10, 20, 30, 40, 50) s2 = (2, 4, 6, 8, 10) # using np.lagadd() method res = geek.lagadd(s1, s2) # Resulting laguerre series print (res) Output: [ 12. 24. 36. 48. 60.] Comment More infoAdvertise with us Next Article Python | Numpy np.lagadd() method jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads 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, 1 min read Python | Numpy np.lagval2d() method With the help of np.lagval2d() method, we can get the 2-D laguerre series at point x by using np.lagval2d() method. Syntax : np.lagval2d(x, y, c) Return : Return the 2-D laguerre series at point x and y. Example #1 : In this example we can see that by using np.lagval2d() method, we are able to get t 1 min read Python | Numpy np.lagdiv() method np.lagdiv() method is used to divide one Laguerre series to another.It returns the quotient-with-remainder of two Laguerre series c1 / c2. Syntax : np.lagdiv(c1, c2) Parameters: c1, c2 :[ array_like ] 1-D arrays of Laguerre series coefficients ordered from low to high. Return : [ndarray] 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.laggrid2d() method np.laggrid2d() method is used to evaluate a 2-D Laguerre series on the Cartesian product of x and y. Syntax : np.laggrid2d(x, y, c) Parameters: x, y :[array_like]The two dimensional series is evaluated at the points in the Cartesian product of x and y. If x or y is a list or tuple, it is first conve 2 min read Python | Numpy np.laggrid3d() method np.laggrid3d() method is used to evaluate a 3-D Laguerre series on the Cartesian product of x, y and z. Syntax : np.laggrid3d(x, y, z, c) Parameters: x, y, z :[array_like]The three dimensional series is evaluated at the points in the Cartesian product of x, y and z. If x or y or z is a list or tuple 2 min read Python | Numpy np.lagvander2d() method With the help of np.lagvander2d() method, we can get the Pseudo-Vandermonde matrix from given array having degree which is passed as parameter by using np.lagvander2d() method. Syntax : np.lagvander2d(x, y, deg) Parameters: x, y :[ array_like ] Array of points. The dtype is converted to float64 or c 2 min read Python | Numpy np.lagvander() method With the help of np.lagvander() method, we can get the Pseudo-Vandermonde matrix from given array having degree which is passed as parameter by using np.lagvander() method. Syntax : np.lagvander(arr, degree) Parameters: arr :[ array_like ] Array of points. The dtype is converted to float64 or comple 2 min read Python | Numpy np.lagfit() method With the help of np.lagfit() method, we can get the least squares fit of laguerre series of a given data by using np.lagfit() method. Syntax : np.lagfit(x, y, deg) Return : Return the least squares fit of laguerre series to data. Example #1 : In this example we can see that by using np.lagfit() meth 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 Like