Python | Scipy integrate.quadrature() method
Last Updated :
23 Jan, 2020
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.
from scipy import integrate
gfg = lambda x: x * * 8 + x * * 4
geek = integrate.quadrature(gfg, 0.0 , 1.8 )
print (geek)
|
Output :
25.81905715199999
Example #2 :
from scipy import integrate
gfg = lambda x: x * * 2 + 2 * x + 4
geek = integrate.quadrature(gfg, 0.0 , 4.0 )
print (geek)
|
Output :
53.33333333333333
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