scipy.integrate.tplquad

scipy.integrate.tplquad(func, a, b, gfun, hfun, qfun, rfun, args=(), epsabs=1.49e-08, epsrel=1.49e-08)

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) : tuple

The limits of integration in x: a < b

gfun : function

The lower boundary curve in y which is a function taking a single floating point argument (x) and returning a floating point result: a lambda function can be useful here.

hfun : function

The upper boundary curve in y (same requirements as gfun).

qfun : function

The lower boundary surface in z. It must be a function that takes two floats in the order (x, y) and returns a float.

rfun : function

The upper boundary surface in z. (Same requirements as qfun.)

args : Arguments

Extra arguments to pass to func3d.

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
romb
Integrators for sampled data
trapz
Integrators for sampled data
simps
Integrators for sampled data
ode
ODE integrators
odeint
ODE integrators
scipy.special
For coefficients and roots of orthogonal polynomials

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