With the help of scipy.integrate.quadrature() method, we can get the computation of definite integral using fixed tolerance gaussian quadrature by using scipy.integrate.quadrature() method.
Syntax :
scipy.integrate.quadrature(func, a, b)Return : Return gaussian quadrature approximation to integral.
Example #1 :
In this example we can see that by using scipy.integrate.quadrature() method, we are able to get the gaussian quadrature approximation to integral function from limit a to b by using this method.
# import scipy.integrate. from scipy import integrate gfg = lambda x: x**8 + x**4 # using scipy.integrate.quadrature() method geek = integrate.quadrature(gfg, 0.0, 1.8) print(geek) |
Output :
25.81905715199999
Example #2 :
# import scipy.integrate. from scipy import integrate gfg = lambda x: x**2 + 2 * x + 4 # using scipy.integrate.quadrature() method geek = integrate.quadrature(gfg, 0.0, 4.0) print(geek) |
Output :
53.33333333333333
