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.

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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)

chevron_right


Output :



25.81905715199999

Example #2 :

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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)

chevron_right


Output :

53.33333333333333

My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.


Article Tags :

Be the First to upvote.


Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.