scipy.integrate.romb¶
- scipy.integrate.romb(y, dx=1.0, axis=-1, show=False)[source]¶
Romberg integration using samples of a function.
Parameters: y : array_like
A vector of 2**k + 1 equally-spaced samples of a function.
dx : array_like, optional
The sample spacing. Default is 1.
axis : int, optional
The axis along which to integrate. Default is -1 (last axis).
show : bool, optional
When y is a single 1-D array, then if this argument is True print the table showing Richardson extrapolation from the samples. Default is False.
Returns: romb : ndarray
The integrated result for axis.
See also
- quad
- adaptive quadrature using QUADPACK
- romberg
- adaptive Romberg quadrature
- quadrature
- adaptive Gaussian quadrature
- fixed_quad
- fixed-order Gaussian quadrature
- dblquad
- double integrals
- tplquad
- triple integrals
- simps
- integrators for sampled data
- cumtrapz
- cumulative integration for sampled data
- ode
- ODE integrators
- odeint
- ODE integrators