scipy.integrate.romb

scipy.integrate.romb(y, dx=1.0, axis=-1, show=False)

Romberg integration using samples of a function.

Parameters:

y : array_like

A vector of 2**k + 1 equally-spaced samples of a function.

dx : float, 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