scipy.integrate.fixed_quad¶
-
scipy.integrate.
fixed_quad
(func, a, b, args=(), n=5)[source]¶ Compute a definite integral using fixed-order Gaussian quadrature.
Integrate func from a to b using Gaussian quadrature of order n.
- Parameters
- funccallable
A Python function or method to integrate (must accept vector inputs). If integrating a vector-valued function, the returned array must have shape
(..., len(x))
.- afloat
Lower limit of integration.
- bfloat
Upper limit of integration.
- argstuple, optional
Extra arguments to pass to function, if any.
- nint, optional
Order of quadrature integration. Default is 5.
- Returns
- valfloat
Gaussian quadrature approximation to the integral
- noneNone
Statically returned value of None
See also
quad
adaptive quadrature using QUADPACK
dblquad
double integrals
tplquad
triple integrals
romberg
adaptive Romberg quadrature
quadrature
adaptive Gaussian quadrature
romb
integrators for sampled data
simpson
integrators for sampled data
cumulative_trapezoid
cumulative integration for sampled data
ode
ODE integrator
odeint
ODE integrator
Examples
>>> from scipy import integrate >>> f = lambda x: x**8 >>> integrate.fixed_quad(f, 0.0, 1.0, n=4) (0.1110884353741496, None) >>> integrate.fixed_quad(f, 0.0, 1.0, n=5) (0.11111111111111102, None) >>> print(1/9.0) # analytical result 0.1111111111111111
>>> integrate.fixed_quad(np.cos, 0.0, np.pi/2, n=4) (0.9999999771971152, None) >>> integrate.fixed_quad(np.cos, 0.0, np.pi/2, n=5) (1.000000000039565, None) >>> np.sin(np.pi/2)-np.sin(0) # analytical result 1.0