Aquileo | Python | Scipy integrate.quadrature() method

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.

Python3 1=1

# 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 :

Python3 1=1

# 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

Python | Scipy integrate.quadrature() method

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