Module « scipy.integrate »
Signature de la fonction tplquad
def tplquad(func, a, b, gfun, hfun, qfun, rfun, args=(), epsabs=1.49e-08, epsrel=1.49e-08)
Description
tplquad.__doc__
Compute a triple (definite) integral.
Return the triple integral of ``func(z, y, x)`` from ``x = a..b``,
``y = gfun(x)..hfun(x)``, and ``z = qfun(x,y)..rfun(x,y)``.
Parameters
----------
func : function
A Python function or method of at least three variables in the
order (z, y, x).
a, b : float
The limits of integration in x: `a` < `b`
gfun : function or float
The lower boundary curve in y which is a function taking a single
floating point argument (x) and returning a floating point result
or a float indicating a constant boundary curve.
hfun : function or float
The upper boundary curve in y (same requirements as `gfun`).
qfun : function or float
The lower boundary surface in z. It must be a function that takes
two floats in the order (x, y) and returns a float or a float
indicating a constant boundary surface.
rfun : function or float
The upper boundary surface in z. (Same requirements as `qfun`.)
args : tuple, optional
Extra arguments to pass to `func`.
epsabs : float, optional
Absolute tolerance passed directly to the innermost 1-D quadrature
integration. Default is 1.49e-8.
epsrel : float, optional
Relative tolerance of the innermost 1-D integrals. Default is 1.49e-8.
Returns
-------
y : float
The resultant integral.
abserr : float
An estimate of the error.
See Also
--------
quad: Adaptive quadrature using QUADPACK
quadrature: Adaptive Gaussian quadrature
fixed_quad: Fixed-order Gaussian quadrature
dblquad: Double integrals
nquad : N-dimensional integrals
romb: Integrators for sampled data
simpson: Integrators for sampled data
ode: ODE integrators
odeint: ODE integrators
scipy.special: For coefficients and roots of orthogonal polynomials
Examples
--------
Compute the triple integral of ``x * y * z``, over ``x`` ranging
from 1 to 2, ``y`` ranging from 2 to 3, ``z`` ranging from 0 to 1.
>>> from scipy import integrate
>>> f = lambda z, y, x: x*y*z
>>> integrate.tplquad(f, 1, 2, lambda x: 2, lambda x: 3,
... lambda x, y: 0, lambda x, y: 1)
(1.8750000000000002, 3.324644794257407e-14)
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