Module « scipy.integrate »

Fonction romb - module scipy.integrate

Signature de la fonction romb

def romb(y, dx=1.0, axis=-1, show=False) 

Description

romb.__doc__

    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
    simpson : integrators for sampled data
    cumulative_trapezoid : cumulative integration for sampled data
    ode : ODE integrators
    odeint : ODE integrators

    Examples
    --------
    >>> from scipy import integrate
    >>> x = np.arange(10, 14.25, 0.25)
    >>> y = np.arange(3, 12)

    >>> integrate.romb(y)
    56.0

    >>> y = np.sin(np.power(x, 2.5))
    >>> integrate.romb(y)
    -0.742561336672229

    >>> integrate.romb(y, show=True)
    Richardson Extrapolation Table for Romberg Integration
    ====================================================================
    -0.81576
    4.63862  6.45674
    -1.10581 -3.02062 -3.65245
    -2.57379 -3.06311 -3.06595 -3.05664
    -1.34093 -0.92997 -0.78776 -0.75160 -0.74256
    ====================================================================
    -0.742561336672229